Content Package User Guide

SAP SE

Content Package User Guide - SAP Help Portal

2.22 Human Experience Management (HXM) Workforce Planning. ... Q. INDEXBASEDCURRENCY. Index-Based Currency. 2CSR5XSG0ZJXB3RC1ELXGHC0R81.

Content Package User Guide

ties does not include long-term capital or investment costs. ... The KPIs are Quick Ratio, Cash Asset Ratio, Working Capital Ratio, and Cash Conversion ...

8919998512534d518ea98297928cb6f1
© 2021 SAP SE or an SAP affiliate company. All rights reserved.

PUBLIC 2021-09-24
Content Package User Guide
THE BEST RUN

Content

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Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

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Line of Business. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

2.1 Advanced Compliance Reporting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

2.2 Business ByDesign. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31

Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32

Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

2.3 Cloud Platform Integration - Reporting Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

Architecture & Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

OData Connectivity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

2.4 Digital Compliance Service - GST. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

Compliance Report (SAP__DCS_GST_ComplianceReport). . . . . . . . . . . . . . . . . . . . . . . . . . . . 50

DCS: GST Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51

2.5 Environment, Health and Safety Management (EHS). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52

Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58

2.6 Supply Chain Management ­ Extended Service Parts Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64

Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

2.7 Finance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69

FI (DA based on COA): Architecture and Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .69

FI (DA based on COA): Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70

FI (DA based on COA): Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

FI (DA based on COA): Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .78

FI (Live based on Semantic Tags): Architecture and Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . .86

FI (Live based on Semantic Tags): Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

FI (Live Based on Semantic Tags): Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

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FI (Live based on Semantic Tags): Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 2.8 Finance - Accounts Receivable: Payment Forecasting (FI-AR-PF). . . . . . . . . . . . . . . . . . . . . . . . . . . 91
Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 Datasets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 Navigating the Content. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 Recreating the Content. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 2.9 Financial Analytics Dashboard for SAP Analytics Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .120 Financial Analytics Dashboard for SAP Analytics Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 2.10 Financial Consolidation for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . 120 Financial Consolidation for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . .120 2.11 Finance Contract Accounts (FI-CA). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .120 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .121 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 2.12 Finance ­Financial Product Subledger For SAP S/4HANA- IFRS17. . . . . . . . . . . . . . . . . . . . . . . . . 165 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 2.13 Finance for SAP S/4HANA Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 2.14 Finance: Operational Expense (OPEX) Planning and Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . .185 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 FP&A - GL Financial Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186 2.15 Financial Planning & Analysis for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . 187 Financial Planning & Analysis for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . .187 2.16 Financial Products Subledger for SAP S/4HANA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189 Analytical Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 2.17 Finance - Revenue Accounting and Reporting Contract-Based Revenue Recognition. . . . . . . . . . . . 215 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217 2.18 Finance: Sales - Revenue Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220

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2.19 2.20 2.21 2.22
2.23 2.24
2.25 2.26 2.27

Group Reporting Planning for S/4HANA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .222 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 Data Actions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226
HR Analytics for S/4HANA Cloud and SAP SuccessFactors (SAP BEST PRACTICES). . . . . . . . . . . .228 HR Analytics for S/4HANA Cloud and SAP SuccessFactors (SAP BEST PRACTICES). . . . . . . . . 228
Human Resources (HR). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .228 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236
Human Experience Management (HXM) Workforce Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . 248 Overview: Use Case and Area of Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .248 Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248 Analytic Applications and Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250 Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262 Add-on. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266
Human Resources - Salary and Employee Cost Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272
Integrated Financial Planning for SAP S/4HANA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .274 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281 Analytic Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294 Allocation Processes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295 Data Actions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296 Add-on for Integrated Financial Planning for SAP S/4HANA. . . . . . . . . . . . . . . . . . . . . . . . . . . 315
Liquidity Planning for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . . . . 317 Liquidity Planning for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . . 317 Liquidity Planning for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . . 317
Master Data Governance Data Quality Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318 Stories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320
Outcome-based Business Insights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 Analytic Applications. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321

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2.29
2.30
2.31 2.32 2.33 2.34 2.35 2.36 2.37
2.38

Portfolio and Project Management (PPM). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .323 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325
Predictive Asset Insights . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .328 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .328 PAI configuration for SAC (and SAC Connection). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330
Procurement (PROC). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .333 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338
Procurement for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . . . . . . . 347 Procurement for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . . . . . 347
Product Cost Planning (CO_PC). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .347 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349
Project Budgeting & Planning for S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . 351 Project Budgeting & Planning for S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . 351 Project Budgeting & Planning for S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . 351
Project Staff Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352
Receivable Management for SAP S/4 HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . 353 Receivable Management for SAP S/4 HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . 353
Sales Analytics for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . . . . . . 354 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .354 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355
Sales Performance (CRM). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 Digital Boardrooms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367
Service Performance (SRV). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373

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2.46 2.47

Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374 Solution Manager (SOLMAN). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .378 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380 SOLMAN IT Service Management: Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380 Supply Base Optimization: Part Negotiation History. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387 Supply Base Optimization: Supplier Performance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389 SAP Ariba: Enterprise Analytics for Procurement. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .392 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396 SAP Ariba Spend Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .396 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 Known Issues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 SAP Central Order. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Order Insights (SAP__SD_CO_ORDERINSIGHTS_DAQ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406 SAP Entitlement Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413 Live Data Connectivity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416 SAP Field Service Management (FSM). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .417 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422 OData Service. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 436 SAP Healthcare Enterprise Capacity Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437

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2.55

Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .437 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 438 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439 SAP Intelligent Asset Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 IAM Configuration for SAC (and SAC Connection). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .442 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 SAP Integrated Business Planning (IBP). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .447 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 SAP Integration Suite. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460 Architecture & Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465 Data Connectivity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467 SAP Logistics Business Network - Supply Chain Network Analytics. . . . . . . . . . . . . . . . . . . . . . . . 468 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 468 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469 SAP Marketing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471 SAP Marketing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471 SAP Procurement: Contract Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .486 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 486 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 486 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489 Data Source. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489 SAP Product Carbon Footprint Analytics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .490 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 490 Getting Started. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 490 Configuration. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .491 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .492 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494 Data Actions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496 Data Exporting and Importing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497 Overview of CO2e Computational Steps. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .503 SAP SuccessFactors Workforce Planning (SAP Best Practices). . . . . . . . . . . . . . . . . . . . . . . . . . . 506

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2.60 2.61 2.62 2.63 2.64 2.65

SAP Best Practices for SAP SuccessFactors Workforce Planning (SAP Best Practice). . . . . . . . .506 SAP Qualtrics Customer Satisfaction Score (CSAT). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506
Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 507 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 508 SAP Qualtrics Surveys (QUALTRICS). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521 SAP Qualtrics Touchpoint NPS (T-NPS). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .524 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .524 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 525 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526 SAP - Travel & Expense (TE) - Concur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538 SAP UI Logging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .543 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .543 SAP UI Logging Story (SAP__ALL_GEN_UILOGGING_LI). . . . . . . . . . . . . . . . . . . . . . . . . . . . . 546 SAP UI Logging Data (SAP__ALL_GEN_LS_UILOGGING). . . . . . . . . . . . . . . . . . . . . . . . . . . . . 546 Statistical Process Control (SPC) Toolkit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .547 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548 Transportation Management Business Performance Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . 548 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .548 SAP Transportation Management: Story. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 549 SAP Transportation Management: Pages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 550 Treasury Management for SAP S/4HANA Cloud (BEST PRACTICE). . . . . . . . . . . . . . . . . . . . . . . . 562 Treasury Management for SAP S/4HANA Cloud (BEST PRACTICE). . . . . . . . . . . . . . . . . . . . . 562 Vendor Management System (VMS). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 562 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .562 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563 Visa & Permit Management for Human Experience Management . . . . . . . . . . . . . . . . . . . . . . . . . 577 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578

3

Industries. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579

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3.1 Agriculture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .579 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .581 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 582 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583
3.2 Banking. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 591 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592
3.3 Chemicals (CHEM). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 607 Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 607 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 608 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 612
3.4 Consumer Products. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 616 Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 616 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .617 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 618
3.5 Customer Profitability Analytics (CPA). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629 Prerequisite. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633
3.6 Engineering, Construction and Operations (ECO). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .647 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 648 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653
3.7 Healthcare (HC). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 657 Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 657 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 657 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663
3.8 High Tech. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671 Stories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673
3.9 Industry Innovation Kit - Zero Waste. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .676 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677

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Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682 Known Limitations. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 684 3.10 Insurance. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .684 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 684 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 686 3.11 Mill Products (MIL). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 700 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 700 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 702 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 702 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705 3.12 Mining (MIN). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .712 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 712 Digital Boardroom. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 713 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714 3.13 Oil & Gas (OAG). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .718 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718 Digital Boardroom. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 722 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 729 3.14 Professional Services for SAP S/4HANA Cloud (SAP BEST PRACTICES). . . . . . . . . . . . . . . . . . . . 735 Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735 3.15 Public Sector (PS). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .735 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 736 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 736 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 737 3.16 Public Services - Higher Education and Research. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .741 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 744 3.17 Public Services - Volunteer Workforce Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 753 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 756 3.18 Real Estate Management (RE). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .758

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3.19 3.20 3.21 3.22 3.23
3.24
3.25
3.26 3.27

Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 762 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 762 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 766 Customization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 783 Retail - Model Company Core Retail (RT-MC). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784 Retail - Model Company Core Retail (RT-MC). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784 Retail - Model Company Fashion for Vertical Business. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787 Retail - Model Company Fashion for Vertical Business. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787 Retail - POS Analysis for Retail. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791 POS Analysis for Retail for SAP Data Warehouse Cloud (SAP__RT_POS_ANALYSIS). . . . . . . . . .792 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793 Retail - Omnichannel Article Availability and Sourcing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793 Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 795 General Remarks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 797 SAP Retail: Replenishment Planning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 798 Abstract and Architecture. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .798 Replenishment Planning (SAP__RT_RPL_REPLENISHMENTPLANNING_LIVE) . . . . . . . . . . . . . 799 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 802 Known Issues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 804 SAP Retail: Replenishment Planning and Unified Demand Forecast Dashboard . . . . . . . . . . . . . . . 804 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 804 Retail: Replenishment Planning and Unified Demand Forecast scenario (SAP__RT_RPL_UDF_DASHBOARD_LIVE). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 805 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 806 Rural Sourcing Management (RSM). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 813 General Remarks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 813 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 813 Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .815 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 816 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821 SAP Aerospace and Defense TERMS Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 838 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 838 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 839 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 842 SAP Automotive: Responsive Supply Network, Sales and Inventory. . . . . . . . . . . . . . . . . . . . . . . . 850 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 850 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 851 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 851 Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 851

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3.28 3.29 3.30 3.31 3.32 3.33 3.34 3.35
3.36 3.37

SAP Consumer Products: Revenue Growth Management ­ Foundation . . . . . . . . . . . . . . . . . . . . . 852 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .852 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .852 Story. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 853 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 853
SAP Cloud Platform Intelligent Returnable Packaging Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . 853 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .853 Dashboards. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 854 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 854 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855
SAP Telecommunication: Customer Value Management (CVM). . . . . . . . . . . . . . . . . . . . . . . . . . .856 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 856 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 856 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 859
SAP Unified Demand Forecast. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 860 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 860 Unified Demand Forecast (SAP__RT_UDF_DEMANDFORECASTING_LIVE). . . . . . . . . . . . . . . . 861 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 864
SAP Utilities: Meter to Cash . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869 Overview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .869 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869 Story. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 870 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 870
Sports One Analytics Version 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 871 Sports One Analytics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 871
Supply Chain Management for Life Sciences. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 871 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 871 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 872 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 873
Supply Demand Overview for SAP S/4HANA Fashion and Vertical Business. . . . . . . . . . . . . . . . . . 873 Prerequisites. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 873 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 874 Digital Boardroom. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 874 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 875 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 878
Trade Management (TM). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .880 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 880 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 886 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 889
Utilities (UTL). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910 Architecture and Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910

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Dashboard. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .912 Stories. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 912 Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 914

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1 Introduction
This documentation assumes that the reader is familiar with SAP Analytics Cloud, and does not substitute SAP Analytics Cloud documentation, which can be found here: Help Portal: SAP Analytics Cloud. Many of the content models are based on replicated data, not on live data connections. The usage of models based on replicated data facilitates the consumption of the content, because it enables the delivery of sample data. Thus, the content based on these models is ready to run without any additional effort and no additional systems are required yet. However, this is not to be mistaken as a recommendation for the productive use. Please analyze if the live connection is available and suitable for your business scenario and use the same instead. The content does not include any predefined roles or permissions. However, it might include data sources that are part of possible future developments, which can be subject to change by SAP at any time for any reason without notice. In that case, please find the detailed information in this document in the respective chapters. For information on getting the content and installing it in your system, see Getting Started. For up-to-date information on the available content, see Release Information.

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2 Line of Business
2.1 Advanced Compliance Reporting
2.1.1 Architecture and Abstract
Advanced Compliance Reporting SAP Analytics Cloud content provides an out-of-box view about global legal indirect tax reporting for CFOs of a multinational company. A complete detailed picture of pending and completed reports across the world is assigned to multiple accountants providing drill-down from a region level to each country specific reporting task. Set monthly filters to investigate for a specific reporting period of your reporting entity. Overdue criticality indication enables to focus on curtail reporting tasks, enabling global compliance, avoiding penalties and meeting of submission deadlines to government authorities. Advanced Compliance Reporting SAP Analytics Cloud content has one dashboard, one story, and one data model. The data model receives its transactional data from an OData Service from a S/4HANA system, while the geo master data can be loaded from a flat file. Architecture:

The colored objects are documented in this chapter.
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2.1.1.1 Dashboard
The Dashboard Advanced Compliance Reporting (SAP_ACR_COMPLIANCEREPORTING_DASHBOARD_V2) contains the Overdue Criticality and Completion Ratio from the story Advanced Compliance Reporting (ACR): General - Compliance Reporting (SAP__ACR_GEN_COMPLIANCEREPORTING_V2).

2.1.2 Stories

Advanced Compliance Reporting (ACR): General - Compliance Reporting (SAP__ACR_GEN_COMPLIANCEREPORTING_V2)
The Compliance Reporting story consist of four pages:
 Overdue Criticality  Completion Ratio  Completion Ratio Details  Help
The first three pages are documented below. The Help page describes possible use interactions and does not require a documentation.
The completion ratio details page is accessible only by using the Jump to Completion Ratio and Filter functionality from the charts Overdue Task by Country and Completion Ratio by Geography.

Measure Name

Type

Formula/Properties

TIME type Calculated Input Control [@Time Selection] is used in page Completion Ratio. The following Measures are cre ated based on Model SAP__ACR_GEN_IM_CMPLRATIO and used in page Completion Ratio.

Is_Before_PeriodEnd

Calculated Measure

See Calculation in subchapter Formula for Calculated Measure Is_Before_Peri odEnd [page 20].

Is_After_PeriodStart

Calculated Measure

See Calculation in its subchapter.

# of<1 space>Overdue Tasks

Restricted Measure

Measure: Dummy_INT

Dimension: Category

Dimension Filter: = Actual

Dimension: Is_After_PeriodStart

Dimension Filter: = YES

Dimension: Overdue Status

Dimension Filter: = OV

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Measure Name

Type

Formula/Properties

Completed

Restricted Measure

Measure: Dummy_INT

Dimension: Category

Dimension Filter: = Actual

Dimension: Is_Before_PeriodEnd

Dimension Filter: = YES

Dimension: Is_After_PeriodStart

Dimension Filter: = YES

Dimension: Overdue Status

Dimension Filter: = CM

Pending

Restricted Measure

Measure: Dummy_INT

Dimension: Category

Dimension Filter: = Actual

Dimension: Is_After_PeriodStart

Dimension Filter: = YES

Dimension: Overdue Status

Dimension Filter: <> CM

# of<1 space>Completed Tasks
# of<1 space>Pending Tasks Completion<1 space>Ratio

Calculated Measure
Calculated Measure Calculated Measure

If(ISNULL ([#Completed]) ,0 ,[#Com pleted] )
If(ISNULL([#Pending]),0,[#Pending])
If([## of Pending Tasks]=0,1, [## of Completed Tasks] / ( [## of Completed Tasks] + [## of Pending Tasks] ))

TIME type Calculated Input Control [@Time Selection 2] is used in page Overdue Criticality. The following Measures are created based on Model SAP__ACR_GEN_IM_CMPLRATIO and used in page Overdue Criticality.

Is_Before_PeriodEnd2

Calculated Measure

Replace [@Time Selection] with [@Time Selection 2] in Is_Before_Peri odEnd

Is_After_PeriodStart2

Calculated Measure

Replace [@Time Selection] with [@Time Selection 2] in Is_After_Period Start

# of<1 space>Overdue Tasks_

Restricted Measure

Dimension Filter Is_Before_PeriodEnd is replaced with Is_Before_PeriodEnd2 (others are the same as Measure # of<1 space> Overdue Tasks

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Measure Name

Type

Formula/Properties

Completed2

Restricted Measure

Dimension Filter Is_Before_PeriodEnd is replaced with Is_Before_PeriodEnd2

Dimension Filter Is_After_PeriodStart is replaced with Is_After_PeriodStart2 (others are the same as Measure Com pleted)

Pending2

Restricted Measure

Dimension Filter Is_Before_PeriodEnd is replaced with Is_Before_PeriodEnd2 (others are the same as Measure Pend ing

# of<1 space>Completed Tasks_ # of<1 space>Pending Tasks_ Completion<1 space>Ratio_

Calculated Measure Calculated Measure Calculated Measure

IF(ISNULL ([#Completed2]) ,0 ,[#Com pleted2])
If(ISNULL([#Pending2] ),0,[#Pend ing2])
If([## of Pending Tasks]=0, 1, [## of Completed Tasks_] / ( [## of Com pleted Tasks_] + [## of Pending Tasks_] ))

TIME type Calculated Input Control [@Time Selection 3] is used in page Completion Ratio Detail. The following Measures are created based on Model SAP__ACR_GEN_IM_CMPLRATIO and used in page Completion Ratio Detail.

Is_Before_PeriodEnd3

Calculated Measure

Replace [@Time Selection] with [@Time Selection 3] in Is_Before_Peri odEnd

Is_After_PeriodStart3

Calculated Measure

Replace [@Time Selection] with [@Time Selection 3] in Is_After_Period Start

# of<2 spaces>Overdue Tasks

Restricted Measure

Dimension Filter Is_Before_PeriodEnd is replaced with Is_Before_PeriodEnd3 (others are the same as Measure # of<1 space> Overdue Tasks

Completed3

Restricted Measure

Dimension Filter Is_Before_PeriodEnd is replaced with Is_Before_PeriodEnd3

Dimension Filter Is_After_PeriodStart is replaced with Is_After_PeriodStart3 (others are the same as Measure Com pleted)

Pending3

Restricted Measure

Dimension Filter Is_Before_PeriodEnd is replaced with Is_Before_PeriodEnd3 (others are the same as Measure Pend ing

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Measure Name # of<2 spaces>Completed Tasks # of<2 spaces>Pending Tasks_ Completion<2 spaces>Ratio

Type Calculated Measure Calculated Measure Calculated Measure

Formula/Properties
IF(ISNULL ([#Completed3]) ,0 ,[#Com pleted3])
If(ISNULL([#Pending3] ),0,[#Pend ing3])
If([## of<2 spaces>Pending Tasks]=0, 1, [## of<2 spaces>Completed Tasks] / ( [## of<2 spaces>Completed Tasks] + [## of<2 spaces>Pending Tasks] ))

Dimension Name

Type

Formula/Properties

The following Calculated Dimensions are created based on Model SAP__ACR_GEN_IM_CMPLRATIO.

Is_Before_PeriodEnd

Measure-Based Dimension

Measure: Is_Before_PeriodEnd

Member Name: YES

Measure Value: (0, INF)

Member Name: NO

Measure Value: (- INF, 0]

Dimension Context:

Period End, Category

Is_After_PeriodStart

Measure-Based Dimension

Measure: Is_After_PeriodStart

Member Name: YES

Measure Value: (0, INF)

Member Name: NO

Measure Value: (- INF, 0]

Dimension Context:

Period Start, Category

Is_Before_PeriodEnd2 Is_After_PeriodStart2 Is_Before_PeriodEnd3 Is_After_PeriodStart3

Measure-Based Dimension Measure-Based Dimension Measure-Based Dimension Measure-Based Dimension

Measure: Is_Before_PeriodEnd2 (others are the same as Dimension Is_Be fore_PeriodEnd)
Measure: Is_After_PeriodStart2 (others are the same as Dimension Is_After_Pe riodStart)
Measure: Is_Before_PeriodEnd3 (others are the same as Dimension Is_Be fore_PeriodEnd)
Measure: Is_After_PeriodStart3 (others are the same as Dimension Is_After_Pe riodStart)

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2.1.2.1 Formula for Calculated Measure Is_Before_PeriodEnd
 Source Code
IF(LENGTH([@Time Selection])=4, IF(SUBSTRING([d/
SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 0, 4 )>=SUBSTRING ([@Time Selection], 0, 4),
1, 0 ), IF(LENGTH([@Time Selection])=5, IF(SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 4, 2)>=""01"" AND SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 4, 2)<=""03"", IF(SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 0, 4)+""1"">=SUBSTRING([@Time Selection],0,5), 1, 0 ), IF( SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 4, 2)>=""04"" AND SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID],4,2)<=""06"", IF( SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 0, 4)+""2"">=SUBSTRING([@Time Selection],0,5), 1, 0 ), IF( SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 4, 2)>=""07"" AND SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID],4,2)<=""09"", IF( SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 0, 4)+""3"">=SUBSTRING([@Time Selection],0,5), 1, 0 ), IF( SUBSTRING([d/ SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ID], 0, 4)+""4"">=SUBSTRING([@Time Selection],0,5), 1, 0 ) ) ) ), IF( [d/SAP__ACR_GEN_IM_CMPLRATIO_qs:SAP_ACR_GEN_PERIODEND].[p/ ID]>=SUBSTRING([@Time Selection], 0, 6), 1, 0 ) ) )

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2.1.3 Models
This section provides detailed information about Advanced Compliance Reporting (ACR) Models and loading the data from S/4HANA OData Service.

2.1.3.1 General - Completion Ratio (SAP__ACR_GEN_IM_CMPLRATIO)

Model Name: SAP__ACR_GEN_IM_CMPLRATIO

Connection

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 Model Description: Data source contains information regarding each report tasks, including report name, reporting entity, reporting start/end period, and overdue status.
 Planning Enabled: No

 OData Service
 /sap/opu/odata/SAP/ SRF_REPORTING_TASK/Repor tingTaskSet

Account Dimension ID

Description

Mapping/Formula

 OData Service
 /sap/opu/odata/SAP/ SRF_REPORTING_TASK/Repor tingTaskSet

DUMMY_INT

# Of Tasks

Dimensions

Name

Description

Transaction data is loaded from S/4HANA OData Service

Dummy Value 1 for each record
Mapping  OData Service  /sap/opu/odata/SAP/
SRF_REPORTING_TASK/Repor tingTaskSet

Time Account PERIOD_START PERIOD_END Country Overdue Status Reporting Entity

Time Account Begin of Reporting Period End of Reporting Period Country Due Date Status Reporting Entity

Report

Report

Geo information is loaded from Excel file

Country-Description

Country Name

Country-Latitude

Latitude

Country-Longitude

Longitude

Country-Region

Region Hierarchy

[Begin of Period]
[Begin of Period] [End of Period] [Country] [Due Date Status] [Reporting Entity] [Reporting Entity Name] [Report ID] [Report Name]
[Geo Description] Latitude Longitude Region

2.1.3.2 Loading data from S/4HANA Odata Service
Procedure
1. Choose to Import Data from OData Services.

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2. Select the correct OData connection and create a new Query by pressing OK.

3. Choose the Odata entity ReportingTaskSet and press NEXT.
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4. Select the following fields from the OData service: End of Period, Start of Period, Country, Due Date Status, Report ID, Report Name, Report Entity and Report Entity Name.

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5. Press Create to continue. 6. Wait till the data is retrieved from the backend in the draft sources area and click it.

7. In the data mapping screen, switch to Table View Mode.
8. Create a transformation to split Start of Period on "-" repeat "2" to create three columns Start of Period, Start of Period_2 and Start_of_Period_3.

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9. Delete column Start of Period_3.

10. Select Start of Period and Start of Period_2 and create a transformation to concatenate Start of Period, Start of Period_2 using "".
11. Rename the newly created column as Start of Period.

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12. Repeat Step 8 to Step 11 for End of Period column to generate a new field with YYYYMM format and name it End of Period.

13. Duplicate the End of Period and rename it to Time.

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14. Duplicate column Due Date Status yields a new column called Due Date Status_2. 15. Create a transformation on Due Date Status_2 to replace cell in Due Date Status_2 match "OV" with "1".

16. Create a transformation on Due Date Status_2 to replace cell in Due Date Status_2 match "CM" with "1". 17. Create a transformation on Due Date Status_2 to replace cell in Due Date Status_2 match "SC" with "1".

18. Create a transformation on Due Date Status_2 to replace cell in Due Date Status_2 match "DL" with "1".

19. Create a transformation on Due Date Status_2 to replace cell in Due Date Status_2 match "DS" with "1". 20.Rename Column Due Date Status_2 to Dummy_INT.

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21. Switch back to the Card Mode. 22. Create the following mapping.
Source Field Report ID Report Name Report Entity Report Entity Name Due Date Status Country State of Period End of Period TIME DUMMY_INT

Target Field Report (Dimension ID) Report (Description) Reporting Entity (Dimension ID) Reporting Entity (Description) Overdue Status (Dimension ID) Country (Dimension ID) Period Start (Dimension ID) Period End (Dimension ID) TIME DUMMY_INT(Measure)

23. There should be no issues in the Model Requirements section. Fix any data quality issue (if any).
24. Set the Import Method to be Clean and replace selected version data and choose Actual (Actuals) as the version. Press Finish Mapping to load the data from OData service to the model.

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25. If the data loading is successful, you will be able to see the entry in the Sources section, where future data loading can be scheduled.
2.2 Business ByDesign 2.2.1 Architecture and Abstract
SAP Business ByDesign has several dashboards provided in the Corporate Performance section. The queries used to build the Financial and Procurement dashboards are reused to build the content for SAP Analytics Cloud. Architecture: The building blocks are as shown:

The colored objects are documented in this chapter.
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2.2.2 Stories
SAP Business ByDesign: Corporate Performance Dashboard (SAP__BYD_CORPORATEPERFORMANCEDASHBOARD)
Name: SAP__BYD_CORPORATEPERFORMANCEDASHBOARD Description: SAP Business ByDesign: Corporate Performance Dashboard Page ­ Finance This page provides the Financial Profit Overview of the current year with deviations w.r.t. previous year. This page can be filtered based on Company and Country. Charts Net Revenue Model: SAP__BYD_FI_EARNEDPROFIT This chart shows Net Revenue for the current year and its variance with the previous year. Operating Profit Model: SAP__BYD_FI_EARNEDPROFIT This chart shows Operating Profit for the current year and its variance with the previous year. Cost of Goods Sold Model: SAP__BYD_FI_EARNEDPROFIT This chart shows COGS for the current year and its variance with the previous year. Net Incoming Orders Model: SAP__BYD_FI_ORDERPROFIT This chart shows Net Incoming Orders for the current year and its variance with the previous year. Profitability Trend Model: SAP__BYD_FI_EARNEDPROFIT This chart shows the Operating Profit and Gross Profit as bars and their corresponding margins as trend lines over the pre vious and current year on a quarterly timeline. Net Incoming Orders Trend Model: SAP__BYD_FI_ORDERPROFIT This chart shows the trend of incoming orders for the current year in a monthly basis along with variance w.r.t previous year. Net Revenue by Country Model: SAP__BYD_FI_EARNEDPROFIT This chart shows Net Revenue breakdown by country, for the current year and its variance with the previous year.

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Name: SAP__BYD_CORPORATEPERFORMANCEDASHBOARD Profitability Margin by Product Group
Model: SAP__BYD_FI_EARNEDPROFIT This chart shows Profitability Margin per Product Group, for the current year and its variance with the previous year.
Incoming Order Distribution by Country
Model: SAP__BYD_FI_ORDERPROFIT This chart shows the percentage of Incoming Orders in each country for the current year. Hovering over the chart also shows the absolute values of the Incoming Orders.
Page - Procurement
This page provides the Financial Overview for the Profit Overview of the current year with deviations w.r.t. previous year. This page can be filtered based on Company. The model SAP__BYD_PROC_SPENDS is used for all charts in this page. There is a measure input control Spend Type-, this is used to select the spend you such as want to display in the middle row of charts along with Total Spend.
Charts Total Spend This chart shows Total Spend for the current year and its variance with the previous year. Total spend is the sum of all other spends shown in the header. Purchase Order Spend This chart shows Purchase Order Spend for the current year and its variance with the previous year. Maverick Spend This chart shows Maverick Spend for the current year and its variance with the previous year. Maverick Spend should be kept at a minimum. Contract Spend This chart shows Contract Spend for the current year and its variance with the previous year. Spend Trend This chart shows the trend of total spend and a spend selected from the Spend Type control spends for the previous and current year. Additionally, forecast is provided for the spends for the next months. Spend per Supplier This chart shows the total spend and a spend selected from the Spend Type control spends for each supplier for the cur rent year for each quarter. It also shows YOY variance for the total cost. Total Spend per Site This chart shows the total spend per site per year with a YOY variance to previous year. Total Spend per Product Category This chart shows the total spend per site for the current year with a YOY variance to previous year. Total Spend Trend per Supplier This chart shows the total spend per supplier for the previous and current year. Additionally, forecast is provided for the spend for the next months.

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Name: SAP__BYD_CORPORATEPERFORMANCEDASHBOARD Page ­ Reports This page provides the model information in grids. Users can in design mode, drill-down by all dimensions available in these models. Charts Financial Report
Model: SAP__BYD_FI_EARNEDPROFIT This grid provides all the earned profit KPIs Procurement Report
Model: SAP__BYD_PROC_SPENDS This grid provides all the spends KPIs

2.2.3 Models
There are 3 models used in this content. Each of these models can be filled by a specified predefined SAP Business ByDesign Query based on the connection SAP_BYD_CONNECTOR.

2.2.3.1 Finance - Earned Profit Overview (SAP__BYD_FI_EARNEDPROFIT)

Model Name: SAP__BYD_FI_EARNEDPROFIT
 Model Description: SAP Business ByDesign: Finance - Earned Profit Over view
 Planning Enabled: Yes

Account* ID

Description

Connection
 Connection type: Get Data from an App > SAP Business ByDesign An alytics
 Connection Name: SAP_BYD_CONNECTOR
 (SAP Business ByDesign: Data Ac quisition Connector)
 Connection Query: EarnedProfitO verviewforDashboard
 (RPFINPRFU30_Q0004QueryRe sults)
Formula/Mapping

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Model Name: SAP__BYD_FI_EARNEDPROFIT

Connection

Gross_Profit

Gross Profit

Gross_Profit

Operating_Profit

Operating Profit

Operating_Profit

Cost_of_Goods_Sold

Cost of Goods Sold

Cost_of_Goods_Sold

Net_Sales_Revenue

Net Sales Revenue

Net_Sales_Revenue

Gross_Profit_Margin

Gross Profit Margin

[Gross_Profit]/[Net_Sales_Revenue]

Operating_Profit_Margin

Operating Profit Margin

[Operating_Profit]/[Net_Sales_Reve nue]

Dimensions

ID

Description

Mapping

Time*

Time

Calendar Year/Month ID

Company_ID*

Company ID

Company ID

Country _ID*

Country ID

Country ID

Customer_ID*

Customer ID

Customer ID

Distribution_Channel_ID*

Distribution Channel ID

Distribution Channel ID

Product_Category_ID*

Product Category ID

Product Category ID

Product_ID*

Product ID

Product ID

Profit_Center_ID*

Profit Center ID

Profit Center ID

Profitability_Line_ID*

Profitability Line ID

Profitability Line ID

Sales_Unit_ID*

Sales Unit ID

Sales Unit ID

Additional Notes about the model

It is best to upload data into this model using the connection SAP_BYD_CONNECTOR provided. This would mean that you don't have to do any manual mapping but only schedule or do an immediate data upload. Further information about this is available in SAP Analytics Cloud Help for Updating and Scheduling Models.

 Note
*Private dimension, other dimensions are public

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2.2.3.2 Finance - Order Profit Overview (SAP__BYD_FI_ORDERPROFIT)

Model Name: SAP__BYD_FI_ORDERPROFIT

Connection

 Model Description: SAP Business ByDesign: Finance - Order Profit Overview  Planning Enabled: Yes

 Connection type: Get Data from an App > SAP Business ByDesign An alytics
 Connection Name: SAP_BYD_CONNECTOR (SAP Business ByDesign: Data Acquisi tion Connector)
 Connection Query: OrderProfitO verviewforDashboards (RPFINPRFU30_Q0006QueryRe sults)

Account* ID Net_Incoming_Orders Dimensions ID Time Company_ID Country_ID Customer_ID Distribution_Channel_ID Product_Category_ID Product_ID Sales_Unit_ID Additional Notes about the model

Description Net Incoming Orders
Description Time Company ID Country ID Customer ID Distribution Channel ID Product Category ID Product ID Sales Unit ID

Formula/Mapping Net Incoming Orders
Mapping Calendar Year/Month ID Company ID Country ID Customer ID Distribution Channel ID Product Category ID Product ID Sales Unit ID

It is best to upload data into this model using the connection SAP_BYD_CONNECTOR provided. This would mean that you don't have to do any manual mapping but only schedule, or do an immediate data upload. Further information about this is available in SAP Analytics Cloud Help for Updating and Scheduling Models.

*Private dimension, other dimensions are public

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2.2.3.3 Procurement-Spends (SAP__BYD_PROC_SPENDS)

Model Name: SAP__BYD_PROC_SPENDS

Connection

 Model Description: SAP Business ByDesign: Procurement-Spends  Planning Enabled: Yes

 Connection type: Get Data from an App > SAP Business ByDesign An alytics
 Connection Name: SAP_BYD_CONNECTOR (SAP Business ByDesign: Data Acquisi tion Connector)
 Connection Query: TotalSpendper SpendCategory (RPSRMIV_B03_Q0011QueryRe sults)

Account*

ID

Description

Formula/Mapping

Maverick_Spend

Maverick Spend

Maverick Spend

Contract_Spend

Contract Spend

Contract Spend

Purchase_Order_Spend

Purchase Order Spend

Purchase Order Spend

Total_Spend

Total Spend

Total Spend

Dimensions

ID

Description

Mapping

Time

Time

Calendar Year/Month ID

Company_ID

Company ID

Company ID

Country_ID

Country ID

Country ID

Buyer_Responsible_ID

Buyer Responsible ID

Buyer Responsible ID

Process_Type_ID

Process Type ID

Process Type ID

Product_Category_ID

Product Category ID

Product Category ID

Product_ID

Product ID

Product ID

Site_ID_ID

Site ID

Site ID

Supplier_ID

Supplier ID

Supplier ID

Supplier_Country_ID

Supplier Country ID

Supplier Country ID

Additional Notes about the model

It is best to upload data into this model using the connection SAP_BYD_CONNECTOR provided. This would mean that you don't have to do any manual mapping but only schedule or do an immediate data upload. Further information about this is available in SAP Analytics Cloud Help for Updating and Scheduling Models.

 Note
*Private dimension and other dimensions are public.

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2.3 Cloud Platform Integration - Reporting Dashboard
2.3.1 Architecture & Abstract
Overview
SAP Cloud Platform Integration (CPI) is SAP's strategic enterprise-wide integration middleware hosted on SAP Cloud Platform (SCP). The CPI reporting dashboard is built upon SAP Analytics Cloud (SAC), which is a powerful data acquisition application. This document helps you start the analytics journey in SAC that is specific to CPI line of business (LoB). We assume that the reader is familiar with SAP Analytics Cloud and this document does not substitute SAP Analytics Cloud documentation, which can be found here: Help Portal: SAP Analytics Cloud. What is the purpose of the Dashboard? The CPI reporting dashboard offers the tenant administrators with an unbiased view on the performance of messages and integration content artifacts deployed on a CPI tenant. Following are the key views of the dashboard:  Message Processing View
 Visualize, sort, and track message processing happening on your CPI tenant. Here you can monitor the messages that are being processed by each integration flows and get to know the processed messages over a period. Besides monitoring, you can also get to know the deployment statuses of integration flows.
 Deployed Artifact View  Reports the number of integration artifacts deployed based on the type of integration content.
 Service Endpoints View  In this view, you can find the service endpoints distributed as per the API protocols.
Architecture
Cloud Platform Integration SAP Analytics Cloud content helps the tenant administrators to make better decisions based on the insights from the CPI tenant using the intuitive and interactive widgets. Cloud Platform Integration SAP Analytics Cloud architecture has one story and three data models, which is based on the relevant CPI OData APIs.

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The colored objects are documented in this chapter. The documentation for the greyed out stories and models can be found in the respective Lines of Business (LoB) chapters:
2.3.2 Stories

SAP Generic: General - CPI Reporting Dashboard (SAP__ALL_GEN_CPIREPORTING_DAQ)

Measure Name Messages Deployed Artifacts
Service Endpoints

Type Calculated Measure Calculated Measure
Calculated Measure

Formula/Properties
Set formula of [Messages] to "'1'"
Set formula of [Deployed Artifacts] to "'1'"
Set formula of [Service Endpoints] to "'1'"

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2.3.3 Models

2.3.3.1

SAP Generic: General - CPI Message Processing Logs (SAP__ALL_GEN_IM_CPIMESSAGEPROCESSINGLO GS)

Model Name: SAP__ALL_GEN_IM_CPIMESSAGEPROCESSINGLOGS Model Description: SAP Generic: General - CPI Message Processing Logs Planning Enabled: no Connection  Import Data Connection to OData Services  SAPCPI

Account ID Messages Dimensions Name Account* MessageGuid CorrelationId Sender Receiver Status AlternateWebLink IntegrationArtifactId Integration_3o5q220684 Integration_104j6605w2 PackageId PackageName LogLevel LogStart LogEnd TransactionId Additional Notes about the model

Description
Description Account

Mapping/Formula Messages
Mapping MessageGuid CorrelationId Sender Receiver Status AlternateWebLink IntegrationArtifactId IntegrationArtifact/Name IntegrationArtifact/Type IntegrationArtifact/PackageId IntegrationArtifact/PackageName LogLevel LogStart LogEnd TransactionId

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Data Transformation Applied: Replace "INTEGRATION_FLOW" with "Integration Flow" in [IntegrationArtifact/Type] Replace "ODATA_SERVICE" with "OData API" in [IntegrationArtifact/Type] Replace "SOAP_API_PROVIDER" with "SOAP API" in [IntegrationArtifact/Type] Replace "REST_API_PROVIDER" with "REST API" in [IntegrationArtifact/Type] Import Method Used: Update - Updates the existing data and adds new entries to the target model. Configure Data Scheduling: By default, the scheduling frequency is set to None. We recommend you to schedule a data import every one hour, see Updating and Scheduling Models
 Note
*Private dimension, other dimensions are public

2.3.3.2

SAP Generic: General - CPI Integration Runtime Artifacts (SAP__ALL_GEN_IM_CPIRUNTIMEARTIFACTS)

Model Name: SAP__ALL_GEN_IM_CPIRUNTIMEARTIFACTS Model Description: SAP Generic: General - CPI Integration Runtime Artifacts Planning Enabled: no Connection  Import Data Connection to OData Services  SAPCPI

Account ID Deployed_Artifacts Dimensions Name Account* Id_4b605a0b1t Version Name

Description Deployed_Artifacts
Description Account

Mapping/Formula Deployed_Artifacts
Mapping MessageGuid Version Name

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Type DeployedBy DeployedOn Status Additional Notes about the model

Type DeployedBy DeployedOn Status

Data Transformation Applied: Set formula of [Deployed Artifacts] to "'1'" Replace "INTEGRATION_FLOW" with "Integration Flow" in [Type] Replace "ODATA_SERVICE" with "OData API" in [Type] Replace "SOAP_API_PROVIDER" with "SOAP API" in [Type] Replace "REST_API_PROVIDER" with "REST API" in [Type] Replace "VALUE_MAPPING" with "Value Mapping" in [Type] Import Method Used: Clean and replace selected version data - Deletes the existing data and adds new entries to the target model. Configure Data Scheduling: By default, the scheduling frequency is set to None. We recommend you to schedule a data import every one hour, see Updating and Scheduling Models

 Note
*Private dimension, other dimensions are public

2.3.3.3 SAP Generic: General - CPI Service Endpoints (SAP__ALL_GEN_IM_CPISERVICEENDPOINTS)

Model Name: SAP__ALL_GEN_IM_CPISERVICEENDPOINTS Model Description: SAP Generic: General - CPI Service Endpoints Planning Enabled: no Connection  Import Data Connection to OData Services  SAPCPI

Account ID Service_Endpoints

Description Service_Endpoints

Mapping/Formula Service_Endpoints

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Dimensions Name Account* Name Id_p2f4g0672h Version Description_3r6l4204l3 Protocol LastUpdated Additional Notes about the model

Description Account

Mapping Name Id_p2f4g0672h Version Description Protocol LastUpdated

Data Transformation Applied: Set formula of [Service Endpoints] to "'1'" Import Method Used: Clean and replace selected version data - Deletes the existing data and adds new entries to the target model. Configure Data Scheduling: By default, the scheduling frequency is set to None. We recommend you to schedule a data import every one hour, see Updating and Scheduling Models

 Note
*Private dimension, other dimensions are public

2.3.4 OData Connectivity
By default, the data acquired and displayed initially in the dashboard is from a sample data. To connect your SAP CPI tenant to this SAC story, use the existing connection with the name SAPCPI and configure it as described here. You can connect to an OData Service in SAP Analytics Cloud application, based on the following connectivity types.

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2.3.4.1 Connectivity: OAuth 2.0 Client Credentials (Recommended)
Configure OAuth
First, you must configure OAuth with Client Credentials Grant in your SAP Cloud Platform cockpit. For more information on how to register as the OAuth client in the consumer account, subscribed to CPI service, using the SAP Cloud Platform cockpit, see OAuth 2.0 Configuration. This gives the client application access to the associated runtime node through OAuth authentication. Remember, while registering the OAuth make sure you:  Select the VM name of the runtime node type that ends with "*.tmn" in the Subscription field.  Select Authorization Grant as Client Credentials.  Keep a note of the Token Endpoint URL that you need to enter in the client application. Navigate to
Security OAuth and click the Branding tab to find the Token Endpoint URL displayed in section OAuth URLs.  Before you continue, obtain and make a note of the OAuth 2.0 credentials (OAuth Client ID, Secret), and the Token Endpoint URL.
Authorize Users
Secondly, you must authorize the client to access the OData APIs. For more information, see Defining Authorizations. Before you assign the role to the user, the name of the user should be of the format "oauth_client_<client ID>". To know more on predefined roles that you can assign to users of the account, see Persona.

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Connecting to OData Service

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1. Provide your CPI tenant URL that has the format https://<cpi-tenant-url>/api/v1 2. Select OAuth 2.0 Client Credentials. 3. Provide the OAuth Client ID registered in the cockpit. 4. Provide the Secret password defined in cockpit. 5. Use the Token Endpoint URL obtained from the cockpit. For more information, see Adding an OData Service.
2.3.4.2 Connectivity: Basic Authentication
When basic authentication is configured, you must authorize the user to access the OData APIs. For more information, see Defining Authorizations. To know more on predefined roles that you can assign to users of the account, see Persona.

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1. Provide your CPI tenant URL that has the format https://<cpi-tenant-url>/api/v1. 2. Select Basic Authentication Type.
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3. Provide the username of the user who has access to the CPI tenant. 4. Provide the password of the user who has access to the CPI tenant.
2.4 Digital Compliance Service - GST
2.4.1 Architecture and Abstract
The introduction of Goods and Services Tax (GST) in India, brings in a new regime of tax compliance, moving from filing of tax reports to a model-based on data communication between you as the taxpayer and the GST Network (GSTN) organization. GSTN has introduced two new entities, GST Suvidha Provider (GSP) and the Application Service Provider (ASP), whose roles are to facilitate the data communication to the GST system at GSTN in the required format. SAP brings you ASP services in the taxpayer enterprise landscape through the GST Digital Compliance Service from SAP. This solution shall offer consolidation capabilities at a GST registration level of organization of data from disparate systems and is designed around a framework driven approach for reporting. Scenario Overview

The SAP Analytics Cloud standard content for SAP Digital Compliance Service (GST) provides an out of the box overall tax payable, dues per GST component, status wise inward credit and outward liability for each GST component, analysis by Vendor/Customer/HSN Code and capability to drill-down up-to invoice level information.
This allows end user to monitor the overall GST compliance on monthly/Quarterly basis for one or more GSTINs. This report fetches the relevant information via live HANA connectivity from the DCS views, hosted in HANA DB on SAP Cloud Platform.
Architecture

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Please check the following topics before using the content:
 The SAP Digital Compliance Service solution must be in place.  The software must be at the level 1.2.18.  The user that you intend to use while updating the connection to your DCS tenant need to have relevant
permissions, please also consult the SAP Analytics Cloud documentation HANA Live connections.  After importing the content, you need to configure the connection with following parameters:

Field Connection Connection Type SAP Cloud Platform Account Database Name Landscape Host Default Language Authentication Method Username Password

Value HANA Live SAP Cloud Platform <your account> <your SCP database> <your datacenter> EN Username and Password <your SCP DB/HANA user> <your SCP DB/HANA Password>

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2.4.2 Compliance Report (SAP__DCS_GST_ComplianceReport)
 When launching the story, a start period and end period must be entered in the prompt. The values need to be entered in format MMYYYY. e.g., 092017.
 Once, prompts are set the story page is loaded. The GSTINs that needs to be analysed should be chosen. By default, all are selected.
The page is then re-loaded for the provided period and selected GSTINs. The page has following information:
 Tax payable information at the top left corner.  The first two lanes in the story provides with the summary of the tax payable components. This is basically
CGST, SGST, IGST and Cess information. Each component has net value displayed, its split across inward credit and outward liability. Outward liability is further split by status New in yellow, SENT in Blue, and FILED in green. Inward liability is further split by status RECONCILED in green and TO BE RECONCILED in yellow.  The below part of the page allows to choose the measure that a user wants to analyse. The available measures that can be analysed are Inward CGST, Inward SGST, Inward IGST, Inward Cess, Outward CGST, Outward SGST, Outward IGST, Outward Cesss.  Once the measure is selected, all the visualizations at the same level provide split of that measure by dimensions Vendor, LoB Type, and HSN Code.
 Note
 It's a stacked chart and the bars are split by the status codes.  The elements in the stacked bar chart can be selected to filter on the list of invoices that are
contributing to the value of that element.

Measure Name Tax Payable

Type Calculated Measure

Formula/Properties
Net CGST + Net SGST + Net IGST + Net Cess

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2.4.3 DCS: GST Models
The next chapters provides the detailed information about Digital Compliance Service (DCS: GST) Models.

2.4.3.1 GST data for a given period (SAP__DCS_GST_LH_GSTFORPERIOD)

Model Name: SAP__DCS_GST_LH_GSTFORPERIOD

Connection

 Model Description: GST data for a given period  Planning Enabled: No

 HANA Live  ComplianceReport

Dimensions Name GSTIN GSTIN Name Customer GSTIN HSN Code Customer/Vendor Invoice Date Period Status
Invoice Type Invoice Number Measures Inward CGST Inward SGST Inward IGST Inward Cess Invoice Count Outward CGST Outward SGST Outward IGST Outward Cess Net CGST

Description GSTIN Code GSTIN Name Customer GSTIN HSN Code Customer or Vendor Name Invoice Date Financial Period Status covers status for both Outward liability and inward credit The business or LOB type Unique Identified for Invoices

Mapping GSTIN GSTIN_NAME CGSTIN HSN_SAC CUST_NAME INV_DATE FIN_PERIOD STATUS
INV_TYP INV_NUM

CGST Inward Credit SGST Inward Credit IGST Inward Credit Cess Inward Credit Number of Invoices CGST Outward liability SGST Outward liability IGST Outward liability Cess Outward liability CGST Outward liability - CGST Inward Credit

IN_CGST IN_SGST IN_IGST IN_CESS INV_COUNT OUT_CGST OUT_SGST OUT_IGST OUT_CESS NET_CGST

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Model Name: SAP__DCS_GST_LH_GSTFORPERIOD

Net SGST

SGST Outward liability - SGST Inward Credit

Net IGST

IGST Outward liability - IGST Inward Credit

Net Cess

Cess Outward liability - Cess Inward Credit

Connection NET_SGST NET_IGST NET_CESS

 Note
*Private dimension and other dimensions are public.

Extensibility

Dimensions Field1 Field2 Field3 Field4 Field5 Field6

Custom Field Custom Field Custom Field Custom Field Custom Field Custom Field

Key DCS_INVHDR_EXT_FIELD1 DCS_INVHDR_EXT_FIELD2 DCS_INVHDR_EXT_FIELD3 DCS_INVHDR_EXT_FIELD4 DCS_INVHDR_EXT_FIELD5 DCS_INVHDR_EXT_FIELD6

 Note
 Now, while pushing invoices from SAP S4HANA or SAP ECC system to DCS Applications. If invoice fields are mapped to any of these fields in the DCS application, the calculation view would provide information of that field to SAP Analytics Cloud model.
 This approach can be used to extend the analysis to more dimensions such as Business Area, Plant Code etc.,

2.5 Environment, Health and Safety Management (EHS)
2.5.1 Architecture and Abstract
The Environment, Health, and Safety (EHS) Boardroom shows the greenhouse gas emissions of a company, the safety of its workers, and the level of potential risks including their mitigation. Due to the generic nature of EHS, this content can be reused across multiple industries. The incident-related story is based on BW queries for the component extension for SAP EHS Management, which is an add-on to SAP ERP.

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The stories for greenhouse gas emissions and risk assessment are based on CDS Analytical Query Views of the environment management and the health and safety management components of Environment, Health, and Safety as part of SAP S/4HANA (a solution capability of S/4HANA OP).
Architecture

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2.5.2 Dashboard
The dashboard which is used for obtaining insights is: SAP_EHS_Dashboard.

2.5.3 Stories
The next chapters provide the detailed information about the stories related to Environment, Health and Safety Management (EHS)

2.5.3.1 General Overview (SAP__EHS_GEN_OVERVIEW)

Title: SAP__EHS_GEN_OVERVIEW

Description: SAP Environment, Health & Safety: General Overview

Purpose: To give a combined overview on the incident status, the greenhouse gas emissions and the risk level.

Page: Overview

Title

Models Used

Yearly Greenhouse Gas Emissions in CO2e by Business Unit SAP__EHS_EM_IM_EMISSIONS

CO2e Reduction Rate

SAP__EHS_EM_IM_EMISSIONS

Number of Injuries

SAP__EHS_HS_IM_INCIDENTS

Injuries

SAP__EHS_HS_IM_INCIDENTS

Risk Level Index and Number of Risks per Location

SAP__EHS_RAS_IM_RISKOVERVIEW

Risk Level Index

SAP__EHS_RAS_IM_RISKOVERVIEW

2.5.3.2 Health & Safety - Incidents (SAP__EHS_HS_INCIDENTS)

In this story, the increase of incidents per incident type is monitored, the most critical injuries come in focus, and the root causes for injuries are analyzed. In addition, the plants where the most severe injuries happened are visualized. This is done by showing the number of injuries in combination with the lost workdays and fatal accidents.

Usage in Industryspecific Boardrooms Industry SAP Chemicals SAP Eng. Cons. & Ops.

Story SAP__CHEM_EHS_HS_INCIDENTS SAP__EHS_HS_INCIDENTS

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Industry SAP Oil & Gas SAP Utilities SAP Mill Products SAP Mining

Story SAP__OAG_EHS_HS_INCIDENTS SAP__UTL_EHS_HS_INCIDENTS SAP__MIL_EHS_HS_INCIDENTS SAP__EHS_HS_INCIDENTS

2.5.3.3 Environment Management - Greenhouse Gas Emissions (SAP__EHS_EM_EMISSIONS)

The environment management component as part of Environment, Health, and Safety management (a solution capability of S/4HANA OP) helps companies to reduce their environmental impact with comprehensive environment management and to comply with regulations, internal policies, and environmental operating permits. It covers the processes through data collection, sampling, calculation, and aggregation of emissions into the daily operations within companies. For example, it calculates the emission of CO2 and CO2 equivalents based on the consumption of certain materials (for example, crude oil, natural gas, or diesel).
In this use case, we focus on the emission of CO2 equivalents. To support long-term climate goals of the Paris Agreement, or as a response to national or sub national regulations, most companies have set up on company level emission reduction targets for CO2 equivalents. One factor on influencing carbon emissions, is reducing the GHG footprint of the company's own operations.
Usage in Industry Specific Boardrooms:
To use this story, industries should make a copy of the story SAP__EHS_EM_EMISSIONS to their own namespace. The current usage in Industries is listed below:

Usage in Industry Specific Boardrooms Industry Oil & Gas Utilities Chemicals Mill Products

Story SAP__OAG_EHS_EM_EMISSIONS SAP__UTL_EHS_EM_EMISSIONS SAP__EHS_EM_EMISSIONS SAP__MIL_EHS_EM_EMISSIONS

Name: SAP__EHS_EM_EMISSIONS

Description: SAP Environment, Health and Safety: Environment Management - Greenhouse Gas Emissions

Purpose: It enables customers to monitor and analyze emissions of greenhouse gases of its plants, calculated as CO2 equivalents. It shows how well the operational units in our example the oil platforms, fields, terminals and refineries - reach the companies greenhouse gas emission reduction target.

Page: Detail

Charts

Title

Models Used

Navigate to

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Name: SAP__EHS_EM_EMISSIONS

Yearly Greenhouse Gas Emissions in CO2e by Business Unit

SAP__EHS_EM_IM_EMISSIONS

Open in Explorer

Shows all the greenhouse gas emissions of the last 10 years of all business unit to monitor if the 10-years company reduc tion target will be reached.

Monthly Emissions in CO2e

SAP__EHS_EM_IM_EMISSIONS

Open in Explorer

Shows the greenhouse gas emissions per months of the current year

Top 5 Locations by Total Emissions in CO2e

SAP__EHS_EM_IM_EMISSIONS

Open in Explorer

Shows the top 5 locations with the highest absolute CO2e emissions. Reductions in these locations would have the highest impact on the company's emissions.

Top 5 Locations by Reduction Rate

SAP__EHS_EM_IM_EMISSIONS

Open in Explorer

Shows the top 5 locations with highest reduction rate of CO2e emissions in the current year.

10 Year Reduction Rates by Country

SAP__EHS_EM_IM_EMISSIONS

Open in Explorer

Shows the reduction rate of CO2e emissions over the last 10 years per location.

Emissions by EHS Location Type in CO2e

SAP__EHS_EM_IM_EMISSIONS

Open in Explorer

Shows the emissions by EHS Location Type in CO2e of the last 12 Months

Page: Content

Emissions by Location

SAP__EHS_EM_IM_EMISSIONSGEO2

2.5.3.4 Risk Assessment (SAP__EHS_RAS_RISKASSESSMENT)
The risk assessment component of Environment, Health, and Safety as part of SAP S/4HANA (a solution capability of S/4HANA OP) is a comprehensive and integrated application that helps companies meet health and safety requirements on a local and global level. It allows companies to identify and manage health and safety risks in the workplace. It supports tasks and processes to address regulatory compliance. As a component of SAP's solutions for environment, health, and safety, it supports EHS performance and reduction of operational risks.
In this use case, we focus on the two main aspects of a company's health and safety risk situation:
a) What are the operational risks for the employees?
b) What is done to mitigate these risks?
These two questions are answered by visualizing and contrasting the risks and their mitigating controls in various aspects, one of which an artificial risk level index is calculated from all existing risks.

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Usage in Industry Specific Boardrooms Industry Oil & Gas Chemicals Mining

Story SAP__EHS_RAS_RISKASSESSMENT SAP__EHS_RAS_RISKASSESSMENT SAP__EHS_RAS_RISKASSESSMENT

Story Name: SAP__EHS_RAS_RISKASSESSMENT
Description: SAP Environment, Health, and Safety: Risk Assessment Purpose: This story enables customers to analyze and compare the risk situation of their operational units (in this example plants). It shows how well this risk situation is managed by the implementation of mitigating risk controls. Models Used: for all charts, the model used is: SAP__EHS_RAS_IM_RISKOVERVIEW Page ­ Risk Overview This page provides an overview on the Risk Assessment of the operational units, in our example the EHS locations are plants. Charts Open Controls and Risk Level Index per Location. This page shows the correlation between the Risk Level and the open controls per location in a Scatterplot chart, the more critical locations are shown in the upper right quadrant. Risk Level Index and Number of Risks per Location. This page shows the distribution of absolute number of risk and the risk level of the locations in a tree map. Number of Risks per Risk Level This page shows how many risks per risk level are identified in the company or for the filtered location or hazard category in a bar chart. Number of Risks per Hazard Category This page shows how many risks per hazard category are identified in the company or for the filtered location or hazard category in a bar chart. Number of Risks per Agent This page shows how many risks per agent are identified in the company or for the filtered location or hazard category in a bar chart. Page ­ Details Risk Assessment This page shows details on the Risk Assessment. Charts Risk Level per EHS Location This page shows the risk level of the locations in a tree map. Selecting locations here is filtering the other charts as a linked analysis. Number of Risks per Hazard Category This page shows the number of risk per hazard category in a stacked bar chart. Number of Risks per Agent This page shows the number of risk per agent in a stacked bar chart.

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Story Name: SAP__EHS_RAS_RISKASSESSMENT
Number of Risks per Hazard Category and Agent This page shows the number of risk per hazard category and agent in a stacked bar chart. Page ­ Details Control Assessment This page shows details on the implementation of controls to mitigate the identified risks. Charts Number of Controls and % of Implemented Controls per Location This page shows the absolute number of controls in the heights and the implementation rate in a Marimekko chart as the width. So many controls with low implementation rates can be critical. Number of Controls This page shows the top 5 locations by number of engineering controls in a stacked bar chart that also shows the person related and organizational controls. % of Implemented Engineering Controls This page shows the % of implemented Engineering Controls in a bar chart. Five thresholds are defined indicating the criti cality. The lower the implementation rate is, the more critical this is. % Impl. Organizational Controls This page shows the % of implemented Organizational Controls in a bar chart. Five thresholds are defined indicating the criticality. The lower the implementation rate is, the more critical this is. % Impl. Personal Controls This page shows the % of implemented Personal Controls in a bar chart. Five thresholds are defined indicating the critical ity. The lower the implementation rate is, the more critical this is.

2.5.4 Models
The next chapters provide the detailed information about the Models used for creating insightful visualisations.

2.5.4.1 Health & Safety - Incidents (SAP__EHS_HS_IM_INCIDENTS)

Model Name: SAP__EHS_HS_IM_INCIDENTS

Connection

 Model Description: SAP Environment. Health & Safety: Health & Safety - Inci  Connection Types: SAP BW Con

dents

nection

 Planning Enabled: No

 Connection Query: 0EHH_MP01_Q0001¹

Incidents Account ID

Description

Formula/Mapping

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Model Name: SAP__EHS_HS_IM_INCIDENTS

Connection

INC

Incidents

0EHH_MP01_CK002

INJ

Injuries

0EHH_MP01_CK047

REL

Release

0EHH_MP01_CK045

NOV

Notices of Violation

0EHH_MP01_RK013

NMS

Near misses

0EHH_MP01_CK010

SOB

Safety Observations

0EHH_MP01_CK011

NLW

Number of Lost Workdays

0EH_NUMLWD

FAT

0EHH_MP01_CK005

Dimensions

ID

Description

Mapping

Time (granularity date) *

Time

Incident: Start Date

SAP_EHS_HS_IncidentsAccount

Incidents Account

Incident: ID

SAP_EHS_HS_IncidentID

Incident ID

Incident: Category

SAP_EHS_HS_IncidentCategory

Incident Category

Incident: Location

SAP_EHS_HS_Incidentlocation

Incident Location

Incident: Location Classification

SAP_EHS_HS_IncidentLocClass

Incident Location Class

Incident: Status

SAP_EHS_HS_IncidentStatus

Incident Status

Incident: Country

SAP_ALL_COUNTRY

Country

Incident: Plant

SAP_ALL_PLANT

Plant

Incident: Region

SAP_ALL_REGION

Region

Incident: Organizational Unit

SAP_EHS_HS_OrgUnit

Organizational Unit

Investigation: Major Root Cause

SAP_EHS_HS_MajorRootCause

Major Root Cause

Additional Notes about the model

¹Remark: Query 0EHH_MP01_Q0001 is using by default a display hierarchy. Since SAP Analytics Cloud currently doesn't support SAP BW queries with display hierarchy for BW Data Import, a copy of query 0EHH_MP01_Q0001 might be used with the display hierarchy setting switched off.

*Private dimension and other dimensions are public.

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2.5.4.2 Health & Safety - Incidents w/ Geo Data (SAP__EHS_HS_IM_INCIDENTSGEO)

Model Name: SAP__EHS_HS_IM_INCIDENTSGEO

Connection

 Model Description: SAP Environ. Health & Safety: Health & Safety - Incidents w/ Geo Data
 Planning Enabled: No

 Connection Types: local file  Connection Query: --

Account ID INC INJ REL NOV NMS SOB NLW FAT Dimensions ID Time (granularity: Days) * Account_SAP_EHS_1wb30045s6* Plant_45jg01e6l2* Additional Notes about the model

Description Incidents Injuries Releases Notices of Violation Near misses Safety Observations Number of Lost Workdays Fatalities
Description Time Account Plant

Formula/Mapping Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file
Mapping Suitable column in local file Suitable column in local file Suitable column in local file

Remark: For models that contain a geo dimension such as model SAP__EHS_HS_IM_INCIDENTSGEO (here: dimension Plant), it is currently not possible to edit the data of this geo dimension.
Example: For dimension Plant it is not possible to edit or create/delete plant data, such as adding new plants or editing Longitude or Latitude data. The data of this model represents an example only.
To visualize your own geo-enabled data (used in a geo map within a story), you need to create your own geo-enabled model. A possible way to create your own geo-enabled model is as follows:
 Download data from an SAP data source (such as SAP BW query 0EHH_MP01_Q0001) into a local spreadsheet file.  Add two additional columns to the spreadsheet: Latitude and Longitude.  For the column that needs to be geo-enabled such as dimension Plant, manually add latitude and longitude data to the
file.  Create your model from this local file. During the Data Integration step create a location out of the dimension that is to
be geo-enabled (for example, dimension Plant) by choosing the Create Location function from the column menu.

 Note
*Private dimension and other dimensions are public.

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2.5.4.3 Environment Management ­ Greenhouse Gas Emissions (SAP__EHS_EM_IM_EMISSIONS)

Model Name: SAP__EHS_EM_IM_EMISSIONS Connection

 Model Description: SAP Environ. Health & Safety: Environmental Management - Green house Gas Emissions
 Planning Enabled: No

 Connection type: Import Data Connection to SAP BW  Connection Analytical Query: Data source name: 2CCENVAMN
SOVRVIEWQ  CDS view name: C_EnvrmtAmountsOverviewQ

Account

Formula/Mapping

ID

Description

Description

ID

EHS_Subject_Amount EHS Subject Amount

EHS Amount Value

EHSAMOUNTVALUE

EHS_Sub ject_Amount_Mte

EHS Subject Amount in [EHS_Subject_Amount]/1000000000 Mte

Dimensions

ID

Description

Mapping

Time*

Time

Amount UTC Date

EHSAMOUNTUTC DATE

EHS Account Emis sions*

SAP_EHS_AC COUNT_EMISSIONS

Map account as described above

EHS Subject

SAP_EHS_SUBJECT

Subject Key

EHSSUBJECT

EHS Subject Type

SAP_EHS_SUBJECT TYPE

Subject Type

EHSSUBJECTTYPE

EHS Location

SAP_EHS_LOCATION Location Key

EHSLOCATION

EHS Location Type

SAP_EHS_LOCATION TYPE

Location Type

EHSLOCATIONTYPE

EHS EM Data Period

SAP_EHS_EM_DATA PERIOD

Data Period

DATAUSAGEPERIO DICITY

Country

SAP_ALL_COUNTRY

Country

COUNTRY

Plant

SAP_ALL_PLANT

Plant ID

PLANT

Business Area

SAP_ALL_BUSINES SAREA

Business Area

BUSINESSAREA

EHS Data Source Type SAP_EHS_EM_DATA SOURCETYPE

Data Source Type

EHSAMOUNTSOUR CETYPE

Unit Of Measure

SAP_ALL_UOM

Unit of Measurement

UNITOFMEASURE

Region

SAP_ALL_REGION

Region

REGION

Additional Notes about the model

Unit of Measure: All the Subjects from EHS should be exposed to SAP Analytics Cloud in one Unit of Measure. Here, we use the Subject CO2e in tons.

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 Note
*Private dimension and other dimensions are public.

2.5.4.4

Environment Management ­ Greenhouse Gas Emissions w/ Geodata (SAP__EHS_EM_IM_EMISSIONSGEO2)

Model Name: SAP__EHS_EM_IM_EMISSIONSGEO2

Connection

 Model Description: SAP Environ. Health & Safety: Environment Management Connection Type: Local file ­ Greenhouse Gas Emissions w/ Geodata
 Planning Enabled: No

EHS Account Emissions Geo ID Longitude Latitude Value Dimensions ID Time* EHS Account Emissions Geo* EHS Location*

Description Longitude Latitude Value
Description Time Account SAP_EHS_LOCATIONGEO

Formula/Mapping Suitable column in local file Suitable column in local file Suitable column in local file
Mapping Suitable column in local file Map account as above Suitable column in local file

 Note
*Private dimension and other dimensions are public.

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2.5.4.5 Risk Assessment (SAP__EHS_RAS_IM_RISKOVERVIEW)

Model Name: SAP__EHS_RAS_IM_RISKOVERVIEW
 Model Description: SAP Environment, Health & Safety: Risk Assessment  Planning Enabled: No

Account ID EHS_Number_of_Risks EHS_High_Risk_Level EHS_Medium_Risk_Level EHS_Low_Risk_Level EHS_Unassigned_Risk_Level EHS_Num_Controls EHS_Num_Implemented_Controls EHS_Num_Engineering_Controls EHS_Num_Impl_EngControls EHS_Num_OrganizationalControls EHS_Num_Impl_OrgControls EHS_Num_PersRelControls EHS_Num_Impl_PersRelControls EHS_Risk_Level_Index

Description Number of Risks High Risk Level Medium Risk Level Low Risk Level Unassigned Risk Level Number of Controls Number of Implemented Controls Number of Engineering Controls Number of Impl Eng Controls Number of Organizational Controls Number of Impl Org Controls Number of Pers Rel Controls Number of Impl Pers Rel Controls EHS_Risk_Level_Index

Dimensions ID EHS Agent

Description SAP_EHS_AGENT

Connection
 Connection type: Data Acquisition or Live Data Connection to S/4
 Connection Analytical Query: Data source name: 2CCEHSRSKMTG SUMQ
 CDS query view name: C_EHSRsk MitigationSummaryQ
Formula/Mapping
ID
NumberOfEHSRisks
NumberOfEHSRisksPrio1
NumberOfEHSRisksPrio2
NumberOfEHSRisksPrio3
NumberOfUnassignedEHSRisks
Not mapped
Not mapped
Not mapped
Not mapped
Not mapped
Not mapped
Not mapped
Not mapped
([SAP__EHS_RAS_IM_RISKOVER VIEW:EHS_High_Risk_Level]*3+ [SAP__EHS_RAS_IM_RISKOVER VIEW:EHS_Medium_Risk_Level]*2+ [SAP__EHS_RAS_IM_RISKOVER VIEW:EHS_Low_Risk_Level] *1+ [SAP__EHS_RAS_IM_RISKOVER VIEW:EHS_Unas signed_Risk_Level]*3)/ [SAP__EHS_RAS_IM_RISKOVER VIEW:EHS_Number_of_Risks] /3
Mapping
EHSAgentUUID

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Model Name: SAP__EHS_RAS_IM_RISKOVERVIEW

Connection

EHS Hazard

SAP_EHS_HAZARD

Hazard

EHS Hazard Category

SAP_EHS_HAZARDCATEGORY

HazardCategory

EHS Risk Level

SAP_EHS_RISKLEVEL

EHSRiskLevel

EHS Location¹

SAP_EHS_LOCATION

Assign to #

Additional Notes about the model

¹The CDS view is planned to be shipped with release S/4HANA 1809 On Premise. This is the current state of planning and can be changed by SAP at any time without notice.

 Note
*Private dimension and other dimensions are public.

2.6 Supply Chain Management ­ Extended Service Parts Planning
2.6.1 Architecture and Abstract
Extended Service Parts Planning (eSPP) is an S/4HANA OnPremise application which provides functionality for the requirements planning of service parts, the distribution of service parts within the Supply Chain network and the monitoring of the related processes. The primary industry focus within eSPP is engineering and automotive.
Analytics with SAP Analytics Cloud (SAC) can provide deep inside in eSPP requirements planning. The stories and models delivered with eSPP SAC content provide both overview and detailed data of eSPP raw demand and demand history, all eSPP forecasting key figures with its quantities and a comparison of raw demand with forecast quantities.
The displayed key figures are easily comparable and support eSPP planners in choosing effective planning parameters and meeting target service levels.
The provided models work based on a live connection between SAC and a S/4HANA backend system.

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The provided stories serve as templates for custom specific stories.

 Note
The colored objects are documented in this chapter.

2.6.2 Stories

2.6.2.1

SAP Supply Chain Management: extended Service Parts Planning ­ Demand History (SAP__SCM_SPP_DemandHistory)

 Provides real-time insights into the eSPP demand history dependend on period, stocking location and facing location.
 Provides real-time insights into the eSPP raw demand dependend on stocking location, facing location, customer and product group.

Measure Name Demand

Formula
Sum of demand quantity in period of demand history.

Type Quantity

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Measure Name Demand Entry Final Quantity Final No. Dmnd. Entry Scaling Quantity Scal. No. Dmnd. Entry

Formula

Type

Sum of order positions in a period of demand history.

Value

Scaling quantity adjusts the demand quantity to the period code.

Quantity

Scaling demand entry amount adjusts Value the demand entry to the period code.

Final demand quantity in Time Series Data Management.

Quantity

Final demand entry amount in Time Series Data

Value

Management.

2.6.2.2

SAP Supply Chain Management: extended Service Parts Planning ­ Monthly Forecast (SAP__SCM_SPP_FORECASTMONTH)

 Provides real-time insights into the time series data of all eSPP forecast key figures dependend on period, product, location product, product group and both warehouse location and virtual child location.
 It only provides the time series data which has been created in the eSPP forecast transactions in the backend system beforehand.
 Ranges and thresholds can be defined for the numeric point charts "Item: Disaggregated Forecast" so that the displayed quantity changes its color accordingly.

Measure Name Forecast Quantity Forecast Month Current Year
Forecast Month Previous Year

Measure Type Restricted key figure Restricted key figure

Formula/Properties
Looks at the forecast of the current year only Looks at the forecast of the previous year only

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2.6.3 Models

2.6.3.1

SAP Supply Chain Management: extended Service Parts Planning ­ Raw Demand (SAP__SCM_SPP_LS_RAWDEMAND)

Model Name: SAP__SCM_SPP_LS_RAWDEMAND

Model Description: SAP Supply Chain Management: extended Service Parts Planning ­ Raw Demand

Planning Enabled: no

Connection
 Live Connection  SQL View: 2CCSPDMNDHRAWDMNDQ

Dimensions Name

Description

Mapping

SrvcPartsDmndOrder SrvcPartsDmndItemNumber SrvcPartsDmndScheduleLineNmbr SrvcPartsDmndOrderDate SrvcPartsDmndType Product SrvcPartsFacingLocation SrvcPartsStockingLocation Customer ProductGroupValue ShippingDate SrvcPartsDmndCategory CalendarDay CalendarMonth

Order Number Item Number Schedule Line Order Date Demand Type Product Facing Location Stocking Location Customer Product Group Shipping Date Demand Category Calendar Day Calendar Month

Model: SAP__SCM_SPP_LS_FORE CASTMONTH

Dimension: CalendarMonth

CalendarYear

Calendar Year

Model: SAP__SCM_SPP_LS_FORE CASTMONTH

Dimension: CalendarYear

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2.6.3.2

SAP Supply Chain Management: extended Service Parts Planning ­ Demand History (SAP__SCM_SPP_LS_DEMANDHISTORY)

Model Name: SAP__SCM_SPP_LS_DEMANDHISTORY Model Description: SAP Supply Chain Management: extended Service Parts Planning ­ Demand History

Planning Enabled: no

Connection
 Live Connection  SQL View: 2CCSPDMNDHISTQ

Dimensions Name SrvcPartsDmndHistPeriod Product SrvcPartsOriginalProduct SrvcPartsFacingLocation SrvcPartsStockingLocation OrderIsEmergency

Description Period Product Original Product Facing Location Stocking Location Emergency Order

Mapping

2.6.3.3

SAP Supply Chain Management: extended Service Parts Planning ­ Monthly Forecast (SAP__SCM_SPP_LS_FORECASTMONTH)

Model Name: SAP__SCM_SPP_LS_FORECASTMONTH

Model Description: SAP Supply Chain Management: extended Service Parts Planning ­ Monthly Forecast

Planning Enabled: no

Connection
 Live Connection  SQL View: CSPFORECASTMONTQ

Dimensions Name

Description

Mapping

LOCATION PRODUCT ESPPPeriodFromDateTime

Location Product Period begin time

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Name ESPPPeriodToDateTime BASEUNIT ProductGroupType ProductGroupValue CalendarDay CalendarMonth
CalendarYear

Description Period end time Unit Prod. Group Type Product Group Calendar Day Calendar Month
Calendar Year

Mapping
Model: SAP__SCM_SPP_LS_RAWDE MAND Dimension: CalendarMonth Model: SAP__SCM_SPP_LS_RAWDE MAND Dimension: CalendarYear

2.7 Finance
2.7.1 FI (DA based on COA): Architecture and Abstract
Introduction to Financial Performance Digital Boardroom The Financial Performance Boardroom shows the Company's financial situation for the current year. Due to the generic nature of Finance, this content can be reused across multiple industries. Both planning and actuals data can be retrieved from the designed models. However, for simplicity, the Boardroom is built only for scenarios pertaining to Actuals (with an exception to detailed Profit & Loss Statement- where planned data is also shown). Architecture Financial Performance is built based on SAP S/4HANA Finance. SAP S/4HANA Finance delivers CDS Analytical Queries that can be consumed by SAP Analytics Cloud. The Financial Model in SAP Analytics Cloud is built based on the sample Chart of Accounts (INT). The connectivity is Data acquisition based.

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The building blocks are as shown:

*The CDS query 2CCFIAP_DPO is currently not in released state. The current timeline for the release of this CDS query is 201811 CE
Usage in Industry-specific Boardrooms
To use the Financial Boardroom, industries made a copy of the story SAP__FI_GEN_FINANCE or SAP__FI_GEN_FIPERFORMANCE to their own namespace.
The current usage in Industries is listed below:

Industry SAP Chemicals SAP Consumer Products SAP Mill Products SAP Public Sector
SAP Oil and Gas SAP Utilities

Story SAP__GEN_FI_FINANCE, SAP__GEN_FI_FINPERFORMANCE SAP__CP_FI_FINANCE SAP__MIL_FI_FINANCE The DSO and DPO related charts are copied into story SAP__PS_GEN_FINANCE and SAP__PS_HER_FINANCE SAP_OAG_GEN_FINANCE SAP_UTL_GEN_FINANCE

2.7.2 FI (DA based on COA): Dashboard
There are two dashboards in LoB Finance:

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 SAP_FI_AGENDA  SAP_FI_FINPERFORMANCE
This dashboard provides FI KPIs in different agenda items based on the classification of Growth, Profitability, Liquidity, and Value Based Management.

2.7.3 FI (DA based on COA): Stories
The next chapters provide details about the SAP Finance Stories.

2.7.3.1 Financial Boardroom (SAP__FI_GEN_FINANCE)
This story is used in most industry boardrooms. Please note that unless explicitly mentioned for a chart, the model used is SAP__FI_GEN_IM_GENERALLEDGER.
SAP Finance: Financial Boardroom (SAP__FI_GEN_FINANCE) Name: SAP__FI_GEN_FINANCE Description: SAP Finance: Financial Boardroom Page: Overview This page contains some overview KPIs that can be copied into overview page provided by industries. Charts Financial Overview for the Current Year Containing bar chart for EBIT (Earnings before interest and tax), Contribution Margin and ROCE (Return on Capital Em ployed). EBIT and Contribution Margin could appear as being the same due to the scale in numbers. Net Revenue Net Revenue of the current year based on order entry (YTD) ­ Gross Revenue ­ sales deductions. Contribution Margin Calculated for the current year (as day-to-date) based on order entry info and cost position postings. Page: Detail
This page forms the content screen for the Financial Performance Boardroom. Aim of the content screen is to provide detailed information on the P&L (Profit & Loss) situation of the company, its Net and Gross Profit Margin and Earnings and Expense situation for the current year. Business Unit and Profit Center are provided as page level filters (please note that in the Boardroom the page filters behave as story filters).
Charts Profit and Loss (P&L) Statement P&L statement shows an overview of the breakup of income and expenses for the current and previous year. More detailed P&L statement with drill-in capabilities can be navigated through.

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Name: SAP__FI_GEN_FINANCE
Navigation: Page Context, Profit and Loss
Earnings and Expenses
This bar chart represents the sums of all earnings (sales revenue, other operational income, financial results, and others), expense positions (material, personnel, other operational expenses, and others), and as a residual the gross profit for all quarters of the last year and the corresponding quarters of the current year.
Net Profit Margin
This section consists of a KPI tile and a Bar, Line chart.
The KPI tile displays Net Profit Margin of the current year and its difference with the previous.
The bar line shows the Net Profit over past and current year by quarter and the line chart shows the Net Profit margin for the same time interval.
Gross Profit Margin
Similar visualization to Net Profit Margin just replaced with Gross Profit related figures.
Page: Context
This page forms the context screen for the Financial Performance Boardroom.
Aim of the context screen is to provide an overview about the most important KPIs:
 The capital and cash related performance of a company presented because of the P&L performance.  From a shareholder perspective (Working Capital, Debt to Equity Ratio, and Return on Equity)  Internal view on capital spend (Cash Flow from Operating Activities, Fixed Asset Turnover Ratio, Inventory Turnover)
internal view on cash management (DPO, DSO, DIO)
Charts
Working Capital
Working Capital is a measure of both a company's efficiency and its short-term financial health. The working capital ratio (Current Assets/Current Liabilities) indicates whether a company has enough short-term assets to cover its short-term debt.
Debt to Equity (D/E) Ratio
The D/E ratio indicates how much debt a company is using to finance its assets relative to the amount of value represented in shareholders' equity.
Return on Equity
Return on equity (ROE) is the amount of net income returned as a percentage of shareholders' equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.
Cash Flow from Operating Activities
Cash flow from operating activities (CFO) is an accounting item indicating the money a company brings in from ongoing, regular business activities, such as manufacturing and selling goods or providing a service. Cash flow from operating activi ties does not include long-term capital or investment costs. It includes earnings before interest and taxes plus depreciation minus taxes.
Fixed Asset Turnover Ratio
The fixedasset turnover ratio is, in general, used by analysts to measure operating performance. It is a ratio of net sales to fixed assets.

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Inventory Turnover Inventory turnover is a ratio showing how many times a company's inventory is sold and replaced over a period. Days Payables Outstanding
Days Payable Outstanding (DPO) is a company's average payable period. Days payable outstanding tells how long it takes a company to pay its invoices for example, from suppliers. Further navigation is available to provide a more detailed view on individual suppliers.
Model used: SAP__FI_FP_IM_DPO
Navigation: Page Context - DSO DPO Days Sales Outstanding Days Sales Outstanding (DSO) is a measure of the average number of days that a company takes to collect revenue after a sale is made. A DSO being higher as the DPO of the period indicates that a company gets its invoices paid before it is paying the received supplier invoices and by that generates a positive cash flow in that period. Navigation: Page - Context- DSO DPO Days Inventory Outstanding The Days Inventory Outstanding (DIO) is a financial measure of how long it takes a company to turn its inventory (including goods that are a work in progress, if applicable) into sales. A high DIO indicates that a company holds bigger stocks and ties more cash than needed for its business, a low DIO indicates a low stock and use of cash but might indicate a certain vulner ability in terms of out-of-stock supply chain disruptions. Page: Context - Profit and Loss This page provides the detailed P&L statement along with page filters Business Area and Profit Center. Charts Profit and Loss Statement This page provides detailed P&L statement with Actuals data for current and previous year and Planned data for the cur rent year. Navigation: Page: Detail Page: Context - DSO DPO This page provides drill-in capabilities for DPO and DSO. Filters are available separately for DPO and DSO related charts. Charts Days Sales Outstanding for Customer Groups. Shows DSO for the selected customer groups in the selected regions. Amount Outstanding. Shows the total amounts outstanding for each selected Customer Group. Navigation: Page ­ Context Days Payables Outstanding to Suppliers Shows DPO for the selected suppliers in the selected regions. Amount Payables Shows the total amounts payable to the selected suppliers.

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Name: SAP__FI_GEN_FINANCE
Page: Overview ­ Boardroom This page provides the Overview screen for the Financial Performance Boardroom. All the content provided here is available in either the Overview or Details page mentioned above. Here we will only list the charts. Charts KPI Tiles for the following Net Revenue, Total Expenses, Contribution Margin, Net Profit Margin, and Return on Equity Financial Overview for the current year Containing bar chart for EBIT (Earnings before interest and tax), Contribution Margin and ROCE (Return on Capital Em ployed). EBIT and Contribution Margin could appear as being the same due to the scale in numbers.

2.7.3.2 General ­ Financial Performance
This story forms part of the SAP_FI_FINPERFORMANCE. Please note that unless explicitly mentioned, the model used in the charts is SAP_FI_GEN_IM_GENERALLEDGER.
Name: SAP__FI_GEN_FINPERFORMANCE Description: SAP Finance: Financial Performance Page: Overview This page shows the overview of KPIs for each of the classifications Growth, Profitability, Liquidity, and Value Based Man agement. Tiles Growth
The KPI for growth is Net Revenue. According to the story, we are in the beginning of Q4. The Net Revenue for Q3 is shown as a numeric point with variance in percentage points w.r.t. to Q3 last year and Q3 Plan. Adjacent to this is the deviation of Net Revenue this year w.r.t. Plan for the complete year, as well as how much was the deviation of Net Revenue from plan at this time in the previous year. Below this is a bar chart showing YOY and Plan vs Actual comparison of Net Revenue per quarter. Navigation: Agenda item Growth Profitability
This tile provides information about two profitability KPIs ­ EBIT and Gross Profit. The numeric point charts of EBIT Margin and Gross Profit Margin show the values aggregated from Q1 to Q3 and deviation from Previous year. Using radio buttons, one can select to see the trailing quarters information of EBIT or Gross Profit. The trend by quarter of previous and current year are shown. For the current year, the forecast is also shown. Beside that a bar chart is shown with the KPI aggregate for the current year and forecast for the entire year. Navigation: Agenda Item Profitability Liquidity

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The model used is SAP__FI_GEN_IM_CASHFLOW
This tile provides information about two liquidity KPIs: operating cashflow and free cashflow for the previous quarter with variance from previous year. The trend of these KPIs are shown quarterly for previous and current year.
Navigation: Agenda Item Liquidity
Value Based Management
This tile shows the KPI ROCE as an aggregate numeric point for the current year with its deviation to the previous year. The quarterly trend of ROCE for current and previous year are shown too.
Page: Detail Growth - YOY Previous Quarter
This page shows the breakdown of Net Revenue by Business Area, Segment, and Country. The first row of charts shows a year on year comparison of the Net Revenue for the previous quarter. The second row of charts shows the trend of Net Revenue quarterly for previous and current year. Filters for business are, segment and country are provided in the left side. It is also possible to switch to other views of Net Revenue Comparison such as Detail Growth YOY, YTM, and Detail Growth, Actual vs Plan by clicking on the required tabs placed above the filters.
Page: Detail Growth - YOY YTD
This page shows the breakdown of Net Revenue by Business Area, Segment, and Country. The first row of charts shows a year on year comparison of the Net Revenue YTD (YTM for previous year). The chart in the second row shows the trend of Net Revenue for the current year with variance of previous year. Filters for business are, segment and country are provided in the left side. It is also possible to switch to other views of Net Revenue Comparison such as YOY Previous Quarter and Actual vs Plan - Prev. Quarter.
Page: Detail Growth - Actual vs Plan
This page shows the breakdown of Net Revenue by Business Area, Segment, and Country. The first row of charts shows a comparison the Net Revenue Actuals w.r.t Plan for the previous quarter. The second row of charts shows the variance for each quarter for the current year per Business Area, Segment, and Country.Net Revenue quarterly for previous and current year. Filters for business area, segment, and country are provided in the left side.
It is also possible to switch to other views of Net Revenue Comparison such as Detail Growth YOY, YTM, and YOY, Previous Quarter by clicking on the required tabs placed above the filters.
Page: Detail Growth - YTG
This page shows the breakdown of Net Revenue by Business Area, Segment and Country. The first row of charts shows the YTD Net Revenue Actuals and its percentage deviation from annual plan ­ i.e. Year to Go.
In the second row, the first chart shows how far was each month's revenue from YTG and the second chart shows the trend of monthly revenue and deviation from plan.
Page: Growth Effects

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This page shows the price, volume and mix effects breakup for variance of sales revenue YOY w.r.t. to previous year. The effects are calculated based on ceteris paribus theory.
 Price effect:p = _i (p_ci-p_bi )×v_ci   Mix effect:mx = _i p_bi (mx_ci-mx_bi )×v_c   Volume effect:v = _i p_bi×mx_bi×(v_c-v_b)
For calculating effects, a prerequisite is to load volume account with data. The model SAP__FI_GEN_IM_GENERALLEDGER is an account-based model and all the members of the account are mapped to the amount measure while doing the map ping to CDS views.
For retrieving data into the volume measure, please follow the following steps:
1. Create a new query based on the connection query 2CCFIGLLITMQ0001. 2. While creating this query, do the following:
In the selection screen, select the dimensions as mentioned in section 5.5.4.1 in the data source connection and inte gration section for connection query 2CCFIGLLITMQ0001 with the addition that the GL Account should be filtered for account "Sales Revenue". Select the measure quantity. 3. Use this query for loading volume related data into the model. 4. The first chart on the left shows the different splits that add up to the sales revenue variance. 5. The lanes for each of the effects: price, volume, and mix, show the total effect and its contribution by Business Area and Material Group. 6. It is possible to filter the effects for a single business area. 7. Smart Discovery Findings on Revenue Influencers navigates to Context-Growth.
Page: Context -Growth
SAP Analytics Cloud provides a functionality to run Machine led Discovery of insights on any model. In a story, it is possible to run machine discovery on a model in the data view section. This functionality is used to analyze the model SAP__FI_GEN_IM_GENERALLEDGER for the measure Net Revenue. The machine discovery provides a result, showing the dimensions that are main influencers for Net Revenue along with charts showing the distribution of the influencing mem bers of a dimension. The charts of the discovery are copied over to this page.
These charts are frozen on the point during the analysis and they are not influenced by any filters.
Navigation: Agenda Item Growth
Page: Detail Profitability
This page provides details on profitability KPIs. It is possible to filter the Legal Entity.
There is navigation possibility to see other Profitability KPIs such as Net Profit and Gross Profit using Navigation: Addition, Net and Gross Profit.
Charts
Profit Margins, Breakdown of Gross Revenue
This chart shows the components of gross revenue on a quarterly series for past and current year and shows the trend of Profit Margins such as EBITDA, EBIT, and Profit.
Breakdown of Gross Revenue

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This waterfall chart shows the component breakup up of Gross Revenue for past 3 quarters aggregated. In this chart, we can clearly see the deductions involved in deriving Net Income ­ stating from Gross Revenue. Profitability Breakdown by Legal Entity These 2 sets of stacked bars show the YOY comparison of EBIT and EBITDA for the previous quarter for each selected Legal entity. EBIT vs Gross Profit Shows the comparison of EBIT vs Gross Profit (also known as Contribution Margin). Page: Context ­ Profitability This shows the entire General Ledger and calculated measures with Actuals for the previous year and Plan and Actuals figures for the current year. Page: Addition - Net and Gross Profit The first row shows aggregated KPIs of Net Profit, net profit margin, gross profit and gross profit margin for the current year and deviation from the previous year. For Net Profit, the charts in the second line show YOY Comparison by Business Area and by Country for the previous quarter below which are shown the trend of Net Profit quarterly over the 2 years. The last column shows Plan Actual comparison charts for Net Profit and Gross Profit quarterly for the current year. Navigation: Agenda Item Growth Page: Detail Liquidity
This page provides details on liquidity KPIs. It is possible to filter based on Legal Entity.
The top row shows some aggregated KPIs for the previous quarter and their variance with the same quarter in the previous year. The KPIs are Quick Ratio, Cash Asset Ratio, Working Capital Ratio, and Cash Conversion Cycle.
There is navigation possibility to see more information on DSO and DPO using Navigation Addition-DSO and Addition-DPO respectively.
Charts Cash Flow Bridge
Base on model SAP__FI_GEN_IM_CASHFLOW.
This chart shows the cash at hand at the start of the year, the cash flow from operating, investing and Financial activities and the cash at hand at the end of the current period.
Working Capital The working capital for the current year, quarterly and deviation from previous year is shown. Days Sales Outstanding Shows the DSO trend monthly for the past and present year and provides a forecast for the coming months based of pre dictive forecasting functionality. Days Payable Outstanding Based on model SAP__FI_FP_IM_DPO. Shows the DPO trend monthly for the past and present year and also provides a forecast for the coming months based of predictive forecasting functionality. Page: Context - Cash Flow Based on model SAP__FI_GEN_IM_CASHFLOW. Provides the cash flow breakdown in Indirect mode based on the IFRS Standard.

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Page: Addition - DSO This page provides drill-in capabilities for DSO. It shows the DSO for customer groups and the amount understanding per customer. Navigation - Agenda Item Liquidity Page: Addition - DPO Based on model SAP__FI_FP_IM_DPO: This page provides drill-in capabilities for DPO, it shows the DPO to suppliers and the amount pending per supplier. Navigation - Agenda Item Liquidity

2.7.4 FI (DA based on COA): Models
The next chapters provide the details for the Models: Financial Statement, Financial Performance, Cashflow.

2.7.4.1 General- Financial Statement with Plan/Actual (SAP__FI_GEN_IM_GENERALLEDGER)

Structure of the Model:

Model Name: SAP__FI_GEN_IM_GENERALLEDGER

Model Description: SAP Finance: General- Financial Statement with Plan/Actual.

Model Purpose: The purpose of model SAP__FI_GEN_IM_GENERALLEDGER is to provide the Balance sheet and P&L line entries. Several dimensions are provided for drill-down capabilities. This model uses the chart of accounts and there are also additional calculated accounts. The account dimension SAP_FI_GEN_GLACCOUNT explains this in detail.

Planning Enabled: Yes

Calculated Measures in GL Account

ID

Description

Formula

F1

Net Revenue

Gross Revenue - Sales Deductions

F2

COGS

Material Expenses + Personnel Expenses + Interest & Similar

Expenses

F3

Gross Profit

Net Revenue - COGS

F4

Gross Profit Margin

Gross Profit / Net Revenue

F5

Operating Expenses

COGS + Other Operating Expenses

F6

Operating Profit

Net Revenue - Operating Expenses

F7

Operating Margin

Operating Profit / Sales Revenue

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Model Name: SAP__FI_GEN_IM_GENERALLEDGER

F8

Net Profit

F9

Net Profit Margin

F10

Contribution Margin

F0

Gross Revenue

F11

EBIT

F12

Working Capital

F13

Working Capital Ratio

F14

Capital Employed

F15

ROCE

F16

Share Holders Equity

F17

Debt to Equity Ratio

F18

Cash Flow from Operations

F19

Property, Plant and Equip

ment (PPE)

F20

Fixed Asset Turnover Ratio

F21

Inventory Turnover

F22

DIO

F23

Return on Equity

F24

DSO_base

F25

DPO

F26 F27 F28 F29 F30 F31 F32 F33 F34 F35 F36 Dimensions Dimension Name

NetNetSales Sales Contribution Sales Margin Trade Spend EBITDA EBIT Margin EBITDA Margin Quick Ratio Marketable Securities Cash Asset Ratio Cash Conversion Cycle
Dimension Description

Net Revenue - (Operating Expenses + Depreciation+ Amorti zation + Interests + Taxes) Net Profit / Net Revenue Net Revenue ­ COGS Sales Revenue Net Revenue - (Operating Expenses +Amortization + Depre ciation) Current Assets - Payables Current Assets / Payables Total Assets ­ Payables EBIT / Capital Employed Assets - Total Liabilities Total Liabilities / Share Holders Equity EBIT + Depreciation -Taxes Tangible Assets
COGS / PPE Net Revenue / Change In Inventory (Change In Inventory /COGS) / 30 Net Revenue / Share Holder's Equity (Accounts Receivable / Gross Revenue) ((AP Domestic + AP Foreign) / COGS) / 30 (Advisable To Use DPO Model) Gross Revenue - Sales Deduction NetNetSales - COGS - Trade Spends Sales Contribution / NetNetSales Sales Deductions + Sales & Advertising Expenses Net Revenue ­ Operating Expenses EBIT / Gross Revenue EBITDA/ Gross Revenue (Assets ­ Inventories) / Liabilities Stock in Affiliates Marketable Securities / Liabilities DSO_base + DIO -DPO

Dimension Type

Public/Private Dimension

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Model Name: SAP__FI_GEN_IM_GENERALLEDGER

Time

Time

SAP_FI_GEN_GLACCOUNT GL Account*

SAP_ALL_BUSINESSAREA Business Area

SAP_ALL_COSTCENTER

Cost Center

SAP_ALL_COUNTRY

Country

SAP_ALL_CUSTOMER

Customer

SAP_ALL_CUSTOMER GROUP

Customer Group

SAP_ALL_MATERIAL

Material

SAP_ALL_MATERIALGROUP Material Group

SAP_ALL_PLANT

Plant

SAP_ALL_PROFITCENTER Profit Center

SAP_ALL_REGION

Region

SAP_ALL_SEGMENT

Segment

SAP_ALL_SUPPLIER

Supplier

Time Account Dimension Generic Dimension Generic Dimension Generic Dimension Generic Dimension Generic Dimension
Generic Dimension Generic Dimension Generic Dimension Generic Dimension Generic Dimension Generic Dimension Generic Dimension

Private Private Private Private Private Private Private
Private Private Private Private Private Private Private

The account dimension SAP_FI_GEN_GLACCOUNT is a very special dimension and is handled as follows:
This dimension should be filled based on the Chart of Accounts. The master data for Chart of Accounts is retrieved from the OData service API_GLACCOUNTINCHARTOFACCOUNTS_SRV (see step Data Source Connection and Integration). Currently INT is used for Chart of Accounts and Hierarchy.
The data and hierarchy must be manually maintained in the Account Dimension.
Data Source Connection and Integration
The model should be filled in 2 steps. To get the actuals values, data import should be connected to CDS Query, Journal Entry Analyzer. This will fill the model with Actuals Journal Entry Line Items.
To get any plan version entries for the P&L, for the selected plan, data import should be connected to CDS Query, P& L, and Plan Actual.
The mappings for these 2 queries are mentioned below:

Model Name: SAP__FI_GEN_IM_GENERALLEDGER Model Description: SAP Finance: General - Financial Statement with Plan/Actual Connection Type: Data import from SAP BW (this is the interface used to access CDS Queries) System: SAP S/4HANA Connection Query: Journal Entry Analyzer (2CCFIGLLITMQ0001)

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Model Name: SAP__FI_GEN_IM_GENERALLEDGER
Connection Variables: Ledger: 0L (or any other specific ledger) Company Code: Relevant company codes Fiscal Year: Relevant Fiscal Year Measures: Amount in Global Currency Connection Purpose: To get the actuals values Dimension Mapping Dimension GL Account
Business Area Legal Entity Cost Center Country Customer Customer Group Functional Area Material Material Group Plant Profit Center Project Definition
Region Segment Supplier Time
Category

Mapping Field G/L Account 2CIFIGLACCINCOA-DIS PLAY_KEY_MIXED_COMPOUNDMENT Business Area 2CIFIBUSAREA-DISPLAY_KEY Company Code 2CIFICOMPANYCODE-DISPLAY_KEY Cost Center 2CIFICOSTCENTER-DISPLAY_KEY Assign to # Customer 2CI_CUSTOMER_CDS-DISPLAY_KEY Customer Group 2CISDCUSTGRP-DISPLAY_KEY Functional Area 2CIFIFUNCAREA-DISPLAY_KEY Material 2CIMATERIAL-DISPLAY_KEY Material Group 2CIMATGROUP-DISPLAY_KEY Assign to # Profit Center 2CIFIPROFITCENTER-DISPLAY_KEY Project Definition 2CIFIGLLITMCUBE-PROJECT-DIS PLAY_KEY Assign to # Segment 2CIFISEGMENT-DISPLAY_KEY Supplier 2CI_SUPPLIER_CDS-DISPLAY_KEY Posting Date 2CIFIGLLITMCUBE-POSTINGDATE-DIS PLAY_KEY Actuals

Please note that the fields marked in bold have to be mapped as a minimum for the Financial Performance Boardroom to work as designed.

Model Name: SAP__FI_GEN_IM_GENERALLEDGER Model Description: SAP Finance: General - Financial Statement with Plan/Actual

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Model Name: SAP__FI_GEN_IM_GENERALLEDGER

Connection Type: Data import from SAP BW (this is the interface used to access CDS Queries) System: SAP S/4HANA Connection Query: P & L ­ Plan/Actual (2CCFIPLPLANACT)

Connection Variables: Ledger: 0L (or any other specific ledger) Company Code: Relevant company codes Fiscal Year: Relevant Fiscal Year Measures: Amount in Global Currency Connection Purpose: To get the plan values Dimension Mapping Dimension GL Account*
Business Area Legal Entity Cost Center Country Customer Customer Group Functional Area Material Material Group Plant Profit Center Project Definition
Region Segment Supplier Trading Partner Time
Category

Mapping Field G/L Account 2CIFIGLACCINCOA-DIS PLAY_KEY_MIXED_COMPOUNDMENT Business Area 2CIFIBUSAREA-DISPLAY_KEY Company Code 2CIFICOMPANYCODE-DISPLAY_KEY Cost Center 2CIFICOSTCENTER-DISPLAY_KEY Assign to # Customer 2CI_CUSTOMER_CDS-DISPLAY_KEY Customer Group 2CISDCUSTGRP-DISPLAY_KEY Functional Area 2CIFIFUNCAREA-DISPLAY_KEY Material 2CIMATERIAL-DISPLAY_KEY Material Group 2CIMATGROUP-DISPLAY_KEY Plant 2CIPLANT-DISPLAY_KEY Profit Center 2CIFIPROFITCENTER-DISPLAY_KEY Project Definition 2CIFIGLLITMCUBE-PROJECT-DIS PLAY_KEY Assign to # Segment 2CIFISEGMENT-DISPLAY_KEY Supplier 2CI_SUPPLIER_CDS-DISPLAY_KEY Trading Partner 2CIPARTNERCOMPANY-DISPLAY_KEY
YYYY/MM date based on Fiscal Year 2CIFIFYEARCC-DIS PLAY_KEY and Fiscal Period 2CIFIFYEARPERIODCC-DIS PLAY_KEY
Based on the plan type selected, it can be mapped to Plan, Budget, Forecast, Rolling Forecast

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To map the GL Account, a transformation is needed. The accounts are delivered in the X/Y form, but the model requires X/0000Y. This can be done by following the steps below using the context menu provided for columns:
1. Split the GL column using custom separator / 2. 2. Combine the split columns using custom separator /0000
For time dimension mapping, splitting, and combining should be done of Fiscal Year and Fiscal Period based on the company's Fiscal Variant.

2.7.4.2 Financial Performance- Days Payable Outstanding (SAP__FI_FP_IM_DPO)

Model Name: SAP__FI_FP_IM_DPO

Connection

 Model Description: SAP Finance: Financial Performance- Days Payable Out standing
 Model Purpose: - SAP__FI_FP_IM_DPO is used to provide the days payable outstanding to suppliers. The source is CDS Query 2CCFIAP_DPO which connects to SAP S/4HANA Finance Ops.
 Planning Enabled: No

 Connection Type: Data import from SAP BW (this is the interface used to access CDS Queries) System: SAP S/4HANA
 Connection Query: Accounts Paya ble. Days Payables Outstanding (2CCFIAP_DPO)
 Connection Variables: Currency key for the display currency: Rele vant currency Exchange Rate Type: M (or any other relevant exchange type)
 Connection Purpose: To get the DPO to suppliers

DSO/DPO Account ID DebitAmt RevAmt WgtAmt Amount DSO DPO
Dimensions Name Time*
SAP_FI_FP_Outstanding

Description Debit Amount Receivables Amount Wgt Amount Amount Days Sales Outstanding Days Payables Outstanding
Description Time
DSO/DPO Account

Mapping
Wgt Amt in Dspl Crcy ELTUIDCMP1 Amount in Dspl Crcy ELTUIDCMP2
Days Payables Outstanding EL TUIDCMP3
Mapping 2CIFIAP_DPO-YEARMONTH-DIS PLAY_KEY Map measures individually above

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Model Name: SAP__FI_FP_IM_DPO SAP_ALL_REGION SAP_ALL_SUPPLIER SAP_ALL_COMPANYCODE SAP_ALL_MONTH SAP_ALL_YEAR SAP_ALL_COUNTRY

Region Supplier Company Code Month Year Country

*Private dimension and other dimensions are public.

Connection 2SUPPLIERREGION-DISPLAY_KEY 2CI_SUPPLIER_CDS-DISPLAY_KEY 2CIFICOMPANYCODE-DISPLAY_KEY Assign to # Assign to # 2CIFICOUNTRY-DISPLAY_KEY

2.7.4.3 General- Cashflow (SAP__FI_GEN_IM_CASHFLOW)

Model Name: SAP__FI_GEN_IM_CASHFLOW

Connection

 Model Description: SAP Finance: General- Cashflow  Model Purpose: This model provides the cashflow indirect method based on
IFRS standard  Planning Enabled: Yes

 Connection Type: Data import from SAP BW (this is the interface used to access CDS Queries) System: SAP S/4HANA
 Connection Query: Cashflow Statement ­ Indirect IFRS (2CCFICSHFLINDIFRS)
 Connection Variables: All variables are mandatory From Period, To Period, Fin Stmnt Version, Company Code, Fiscal Year, and Ledger

DSO/DPO Account ID F1
F2
F3 ID HEADER11 HEADER13
HEADER14

Description CAPEX Operating Cashflow Free Cashflow

Formula
Purchase(sale) of tangible assets + Pur chase(sale) of intangible assets
Net cash generated from continuing op erating activities
Operating Cashflow ­ Free Cashflow
Mapping
Profit for the period ELTUIDCMP4
Depreciation of property, plant and equipment ELTUIDCMP6
Amortization of intangible assets EL TUIDCMP7

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Model Name: SAP__FI_GEN_IM_CASHFLOW HEADER15

HEADER17

HEADER18

HEADER19

HEADER20

HEADER21

HEADER22

HEADER23

HEADER27

HEADER30

HEADER31

HEADER15

HEADER33

HEADER34

HEADER36

HEADER37

HEADER38

HEADER39 HEADER40 HEADER41 Dimension Mapping ID Time* SAP_FI_GEN_CASHFLOW*

Description Time Cashflow Account

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Connection
Gain/Loss from fixed asset retirement ELTUIDCMP8
Increase (Decrease) of provisions EL TUIDCMP10
Increase (Decrease) of inventories EL TUIDCMP11
Increase (Decrease) in accounts receiv ables (net) ELTUIDCMP12
Increase (Decrease) in other receiva bles (net) ELTUIDCMP13
Increase (Decrease) in accounts paya bles ELTUIDCMP14
Increase (Decrease) in other payables ELTUIDCMP15
Net cash generated from continuing op erating activities ELTUIDCMP16
Purchase (Sale) of tangible assets EL TUIDCMP20
Purchase (Sale) of intangible assets EL TUIDCMP23
Amortization of intangible assets EL TUIDCMP24
Gain/Loss from retirement of fixed as sets ELTUIDCMP25
Increase (Decrease) in long-term in vestments ELTUIDCMP26
Net cash used in continuing investing activities ELTUIDCMP27
Increase (Decrease) in common stocks ELTUIDCMP29
Increase (Decrease) in notes receivable ELTUIDCMP30
Net cash generated from financing ac tivities ELTUIDCMP31
Net Cash Flow ELTUIDCMP32
Cash Flow Validation ELTUIDCMP33
Validation Balance ELTUIDCMP34
Connection
Mapping
Posting Date
Map measures individually above

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SAP_ALL_BUSINESSAREA

Business Area

SAP_ALL_COUNTRY

Country

SAP_ALL_COMPANY_CODE

Legal Entity

SAP_ALL_COSTCENTER

Cost Center

SAP_ALL_PROFITCENTER

Profit Center

SAP_ALL_SEGMENT

Segment

Connection 2CIFIBUSAREA-DISPLAY_KEY Assign to # 2CIFIVOMPANYCODE-DISPLAY_KEY 2CIFICOSTCENTER-DISPLAY_KEY 2CIFIPROFITCENTER-DISPLAY_KEY 2CIFISEGMENT-DISPLAY_KEY

*Private Dimension and other Dimensions are public. Further information on the CDS view for Cashflow Statement and Indirect IFRS can be found here.

2.7.5 FI (Live based on Semantic Tags): Architecture and Abstract
Introduction to Financial Performance Digital Boardroom
The Financial Performance Boardroom shows the Company's financial situation for the current and previous year. Architecture
Financial Performance is built based SAP S/4HANA On Premise live connectivity. The CDS view which exposes the financial KPIs uses semantic tags for defining the KPIs. With this approach, it is not needed to create the KPIs in SAP Analytics Cloud based on dedicated Chart of Accounts.
This content can be plugged on to a S/4HANA system to display content out of the box. The CDS view is available from S/4HANA On-premise 1809 or S/4HANA Cloud 1808.
The building blocks are as shown:
Architecture

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This video gives a preview of the content.

2.7.6 FI (Live based on Semantic Tags): Dashboard
There is a single digital boardroom. SAP_FI_Performance_Live_Dashboard This dashboard provides FI KPIs in different topics based on the classification of Growth, Profitability, and Liquidity.

2.7.7 FI (Live Based on Semantic Tags): Stories
SAP Finance: Financial Performance based on Semantic Tags (SAP__FI_GEN_FINSTMTKPI) This story is used to provide complete Financial Performance Overview. Here's a brief explanation of the pages. Overview The aggregated KPIs for Growth, Profitability, and Liquidity are shown here in three lanes.
 Note
Apart from the model input parameters, it is important in this page to select the Current and Previous year in the input fields available at the top right.
Growth

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This page provides further information on the Growth KPI, Net Revenue. Here also please select current and previous year in top right. You can select the breakdown dimension for the page to reflect accordingly. This page has 3 lanes: 1. The first lane shows quarter wise comparison of Net Revenue for current year w.r.t previous year and plan.
You need to select the quarters for which comparison should be done. 2. The second lane shows YTG comparison of Net Revenue for current year w.r.t previous year and plan. You
need to select the fiscal periods YTD. 3. The third lane shows YTG comparison of Net Revenue w.r.t. Plan. Profitability - EBIT & EBITDA This page shows external facing profitability KPIs. Please select current year in top right. Profitability - Net & Gross Profit This page shows operational profitability KPIs. Please select current year in top right. P&L Analysis A scatter plot in this page does smart grouping of the selected measures and dimension. It is possible to filter on a smart group and analyze financial performance of this group. Liquidity Various liquidity KPI trends are shown. Please select current year in top right. Liquidity- DSO This page shows DSO and Accounts Receivables related information. Here, smart grouping-based filtering can be used for analysis. As we are using different modes in this page than the others, please remember to filter on the company codes to be same as that of the company code available as a story filter.
2.7.8 FI (Live based on Semantic Tags): Models
The next chapters provide the detailed information on the Models used for creating the Stories.
2.7.8.1 Financial KPIs based on Semantic Tags (SAP__FI_GEN_LS_FINSTMTKPI)
This model provides Financial KPIs delivered by Semantic tags. Documentation regarding these KPIs is found here.

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Model Name: SAP__FI_GEN_LS_FINSTMTKPI

Connection

Model Description: SAP Finance: Financial KPIs based on Se  Connection Type: Live connectivity Which system: S/

mantic Tags

4HANA On Prem 1808+

 Planning Enabled: No

 Connection name: S/4HANA Finance On Premise(SAP

FIN)

 Connection Query: KPIs based on Financial Statements (2CCFIFINSTMTKPI)

Connection Parameter Financial Statement Version Ledger Ledger Fiscal Year

Value {mandatory} {mandatory}
{mandatory} Please use 2 entries current and previous year

To Period

{mandatory} 12

Plan Category

{mandatory}
If you have planning configured, please use the plan cate gory else use ACT01

 Note
The dimensions and measures are not listed, since this is a live model, they are identical to the measures and dimen sions in the CDS view.

2.7.8.2 Days Sales Outstanding (SAP__FI_GEN_LS_DSO)

This model provides current DSO related information.

Model Name: SAP__FI_GEN_LS_DSO Model Description: SAP Finance: Days Sales Outstanding Planning Enabled: No
Connection Parameter Rolling Avg. for Rec

Connection
Connection Type: Live Connectivity System: S/4HANA On Prem Connection Name: S/4HANA Finance On Premise (SAPFIN) Connection Query: Days Sales Outstanding Smart Business App (2CCFIDAYSSLSOUTSTG) Value
{mandatory} 1

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Model Name: SAP__FI_GEN_LS_DSO Rolling Avg. for Rev
Display Currency
Exchange Rate Type

Connection {mandatory} 1 {mandatory} US Dollar {mandatory} M

 Note
The dimensions and measures are not listed since this is a live model, they are identical to the measures and dimen sions in the CDS view.

2.7.8.3 Overdue Accounts Receivables (SAP__FI_GEN_LS_ACCTRBLS)

This model provides Accounts Receivables Overdue related information.

Model Name: SAP__FI_GEN_LS_ACCTRBLS

Connection

Model Description: SAP Finance: Overdue Accounts Receiva Connection Type: Live Connectivity

bles

System: S/4HANA On Prem

Planning Enabled: No

Connection Name: S/4HANA Finance On Premise (SAPFIN)

Connection Query: Overdue Accounts Receivables Smart Business App (2CCOVRDUEACCTRBLS)

Connection Parameter Open on Key Date

Value {mandatory}

TODAY

Display Currency

{mandatory}

US Dollar

Exchange Rate Type

{mandatory}

M

Net Due Interval 1

{mandatory}

30

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Model Name: SAP__FI_GEN_LS_ACCTRBLS Net Due Interval 2
Net Due Interval 3

Connection {mandatory} 60 {mandatory} 90

 Note
The dimensions and measures are not listed- since this is a live model, they are identical to the measures and dimen sions in the CDS view.

2.8 Finance - Accounts Receivable: Payment Forecasting (FI-AR-PF)
2.8.1 Architecture and Abstract
Abstract
This content extends the existing Accounts Receivable Cash Collection functionality within S/4HANA Cloud. It can be considered as an extension of the Process Collections Worklist, Process Receivables, and Manage Customer Line Items apps. Accounts Receivable is typically the largest asset on any organization's financial statements. With B2B transactions increasing in volume and complexity, poor management of AR can lead to unnecessary expenses and cash flow problems. Using the results from a regression model, payment predictions are presented to enable collections managers to prioritize their time on high value invoices and customers with poor predicted payment behavior.

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Architecture

2.8.2 Stories

The story SAP__FI_AR_PAYMENTFORECASTING (SAP Finance: Accounts Receivable - Invoice Payment Forecasting) is included as part of this package.
The story includes the following calculated measures and dimensions:

Measure Name

Type

Model: SAP__FI_AR_IM_PAYMENTHIST

HIST_COUNT_INVOICES

Aggregation

Formula/Properties
 Operation: [COUNT DIMENSION]  Aggregation Dimension: [ID]  Conditional Aggregation: [No]

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Measure Name AVG_DAYS_TO_PAY

Type Calculated Measure

Model: SAP__FI_AR_IM_PAYMENTPRED

COUNT_INVOICES

Aggregation

OVERDUEAMOUNTS %_OVERDUEAMOUNTS

Restricted Measure Calculated Measure

Dimension Name

Type

Model: SAP__FI_AR_IM_PAYMENTHIST

HIST_OVERDUEDAYS

Measure-Based Dimension

Model: SAP__FI_AR_IM_PAYMENTPRED

Formula/Properties
[SAP__FI_AR_IM_PAYMENTH IST:OVERDUEDAYS] / [#HIST_COUNT_INVOICES]
 Operation: [COUNT DIMENSION]  Aggregation Dimension: [ID]  Conditional Aggregation: [No]
Measure [AMOUNTINCOCURR] re stricted by [OVERDUEDAYS] on [1 - 15, 16 - 30, 31 - 60, 61 - 90, >= 91]
[#OVERDUEAMOUNTS] / [SAP__FI_AR_IM_PAY MENTPRED:AMOUNTINCOMPANYCO DECURR]
Formula/Properties
Measure [OVERDUEDAYS]:  Member Name: 0. Measure Values:
 0.  Member Name: 1 - 15. Measure Val
ues:  1 and < 16.  Member Name: 16 - 30. Measure
Values:  16 and < 31.  Member Name: 31 - 60. Measure
Values:  31 and < 61.  Member Name: 61 - 90. Measure
Values:  61 and < 91.  Member Name: >=91. Measure
Values:  91.
Dimension Context: Select All

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Dimension Name OVERDUEDAYS
DUEINDAYS
PRED_OVERDUEDAYS

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Type Measure-Based Dimension
Measure-Based Dimension
Measure-Based Dimension

Formula/Properties
Measure [OVERDUEDAYS]:  Member Name: 0. Measure Values:
 0.  Member Name: 1 - 15. Measure Val
ues:  1 and < 16.  Member Name: 16 - 30. Measure
Values:  16 and < 31.  Member Name: 31 - 60. Measure
Values:  31 and < 61.  Member Name: 61 - 90. Measure
Values:  61 and < 91.  Member Name: >=91. Measure
Values:  91.
Dimension Context: Select All
Measure [OVERDUEDAYS]:  Member Name: 0 - 15. Measure
Values:  -15 and  0.  Member Name: 16 - 30. Measure
Values:  -30 and < -15.  Member Name: 31 - 60. Measure
Values:  -60 and < -30.  Member Name: 61 - 90. Measure
Values:  -90 and < -60.  Member Name: >= 91. Measure
Values:  -91.
Dimension Context: Select All
Filter Context: [OVERDUEDAYS] re stricted by [0]
Measure [PRED_OVERDUEDAYS]:  Member Name: 0. Measure Values:
 0.  Member Name: 1 - 15. Measure Val
ues:  1 and < 16.  Member Name: 16 - 30. Measure
Values:  16 and < 31.  Member Name: 31 - 60. Measure
Values:  31 and < 61.  Member Name: 61 - 90. Measure
Values:  61 and < 91.  Member Name: >=91. Measure
Values:  91.
- Dimension Context: Select All
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2.8.3 Models

2.8.3.1 SAP__FI_AR_IM_PAYMENTHIST

All the dimensions listed below are private dimensions.

Model Name: SAP__FI_AR_IM_PAYMENTHIST

Connection

 Model Description: SAP Finance: Accounts Receivable - Historical Cleared In Dataset SAP__FI_AR_PAYMENTFORE

voices

CASTINGHIST

 Planning Enabled: No

Account ID AMOUNTINCOMPANYCODECUR RENCY CASHDISCOUNTBASEAMOUNT NETPAYMENTAMOUNT NETDUEDAYS DUEDAYS POSTINGDAYS CLEARINGDAYS OVERDUEDAYS LASTDUNNINGDAYS CASHDISCOUNT1DAYS Dimensions Name ID COMPANYCODE ACCOUNTINGDOCUMENT ACCOUNTINGDOCUMENTITEM DOCUMENTDATE NETDUEDATE DUECALCULATIONBASEDATE POSTINGDATE CLEARINGDATE LASTDUNNINGDATE CASHDISCOUNT1DUEDATE PAYMENTTERMS

Description AMOUNTINCOCURR
CASHDISCOUNTBASEAMOUNT NETPAYMENTAMOUNT NETDUEDAYS DUEDAYS POSTINGDAYS CLEARINGDAYS OVERDUEDAYS LASTDUNNINGDAYS CASHDISCOUNT1DAYS
Description

Mapping/Formula AMOUNTINCOMPANYCODECUR RENCY CASHDISCOUNTBASEAMOUNT NETPAYMENTAMOUNT NETDUEDAYS DUEDAYS POSTINGDAYS CLEARINGDAYS OVERDUEDAYS LASTDUNNINGDAYS CASHDISCOUNT1DAYS
Mapping ID COMPANYCODE ACCOUNTINGDOCUMENT ACCOUNTINGDOCUMENTITEM DOCUMENTDATE NETDUEDATE DUECALCULATIONBASEDATE POSTINGDATE CLEARINGDATE LASTDUNNINGDATE CASHDISCOUNT1DUEDATE PAYMENTTERMS

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Model Name: SAP__FI_AR_IM_PAYMENTHIST GLACCOUNT POSTINGKEY DEBITCREDITCODE CUSTOMER PLANNINGLEVEL COUNTRY FINANCIALACCOUNTTYPE BILLINGDOCUMENT CLEARINGISREVERSED ACCOUNTINGDOCUMENTTYPE COMPANYCODECURRENCY TRANSACTIONCURRENCY KEYDATE

Connection GLACCOUNT POSTINGKEY DEBITCREDITCODE CUSTOMER PLANNINGLEVEL COUNTRY FINANCIALACCOUNTTYPE BILLINGDOCUMENT CLEARINGISREVERSED ACCOUNTINGDOCUMENTTYPE COMPANYCODECURRENCY TRANSACTIONCURRENCY KEYDATE

2.8.3.2 SAP__FI_AR_IM_PAYMENTPRED

All the dimensions listed below are private dimensions.

Model Name: SAP__FI_AR_IM_PAYMENTPRED

 Model Description: SAP Finance: Accounts Receivable - Current Invoices with Predictions
 Planning Enabled: No

Account ID AMOUNTINCOMPANYCODECUR RENCY CASHDISCOUNTBASEAMOUNT NETPAYMENTAMOUNT NETDUEDAYS DUEDAYS POSTINGDAYS CLEARINGDAYS OVERDUEDAYS LASTDUNNINGDAYS CASHDISCOUNT1DAYS

Description AMOUNTINCOCURR
CASHDISCOUNTBASEAMOUNT NETPAYMENTAMOUNT NETDUEDAYS DUEDAYS POSTINGDAYS CLEARINGDAYS OVERDUEDAYS LASTDUNNINGDAYS CASHDISCOUNT1DAYS

Connection
Dataset SAP__FI_AR_PAYMENTFORE CASTINGPRED
Mapping/Formula AMOUNTINCOMPANYCODECUR RENCY CASHDISCOUNTBASEAMOUNT NETPAYMENTAMOUNT NETDUEDAYS DUEDAYS POSTINGDAYS CLEARINGDAYS OVERDUEDAYS LASTDUNNINGDAYS CASHDISCOUNT1DAYS

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Model Name: SAP__FI_AR_IM_PAYMENTPRED

rr_CLEARINGDAYS

PRED_CLEARINGDAYS

Calculated_column_1

PRED_OVERDUEDAYS

Dimensions Name ID COMPANYCODE ACCOUNTINGDOCUMENT ACCOUNTINGDOCUMENTITEM DOCUMENTDATE NETDUEDATE DUECALCULATIONBASEDATE POSTINGDATE LASTDUNNINGDATE CASHDISCOUNT1DUEDATE PAYMENTTERMS GLACCOUNT POSTINGKEY DEBITCREDITCODE CUSTOMER PLANNINGLEVEL COUNTRY FINANCIALACCOUNTTYPE BILLINGDOCUMENT CLEARINGISREVERSED ACCOUNTINGDOCUMENTTYPE COMPANYCODECURRENCY TRANSACTIONCURRENCY KEYDATE

Description

Connection rr_CLEARINGDAYS
Not mapped to the dataset. Create a calculated column based on this for mula: IF([PRED_CLEARINGDAYS]-[NETDUE DAYS]>=0, [PRED_CLEARINGDAYS][NETDUEDAYS], 0)
Mapping ID COMPANYCODE ACCOUNTINGDOCUMENT ACCOUNTINGDOCUMENTITEM DOCUMENTDATE NETDUEDATE DUECALCULATIONBASEDATE POSTINGDATE LASTDUNNINGDATE CASHDISCOUNT1DUEDATE PAYMENTTERMS GLACCOUNT POSTINGKEY DEBITCREDITCODE CUSTOMER PLANNINGLEVEL COUNTRY FINANCIALACCOUNTTYPE BILLINGDOCUMENT CLEARINGISREVERSED ACCOUNTINGDOCUMENTTYPE COMPANYCODECURRENCY TRANSACTIONCURRENCY KEYDATE

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2.8.4 Datasets

2.8.4.1 SAP__FI_AR_PAYMENTFORECASTINGHIST

The dataset SAP__FI_AR_PAYMENTFORECASTINGHIST contains invoices that is cleared as of November 28, 2018. The filter CLEARINGDATEFISCALYEAR  0000 is applied to ensure that the clearing date is not missing and has a value.

Dataset Name: SAP__FI_AR_PAYMENTFORECASTINGHIST

 Dataset Description: SAP Finance: Accounts Receivable, Historical Cleared Invoices  Connection: Import Data Connection to an SAP S/4HANA Cloud System. SAP S/4HANA Cloud custom CDS view:
YY1_OPACDOIT

Variables Column Header ID COMPANYCODE ACCOUNTINGDOCUMENT FISCALYEAR ACCOUNTINGDOCUMENTITEM KEYDATE DOCUMENTDATE NETDUEDATE DUECALCULATIONBASEDATE POSTINGDATE CLEARINGDATE LASTDUNNINGDATE CASHDISCOUNT1DUEDATE PAYMENTTERMS GLACCOUNT POSTINGKEY DEBITCREDITCODE FISCALPERIOD CUSTOMER PLANNINGLEVEL COUNTRY FINANCIALACCOUNTTYPE BILLINGDOCUMENT

Mapping in YY1_OPACDOIT <Unique key generated by S/4HANA> Company Code Journal Entry Fiscal Year Posting View Item Key Date Journal Entry Date Net Due Date Due Calculation Base Date Posting Date Clearing Date Last Dunned Cash Disc 1 Due Date Payment Terms G/L Account Posting Key Debit/Credit Code Fiscal Period Customer Planning Level Country Account Type Billing Document

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Dataset Name: SAP__FI_AR_PAYMENTFORECASTINGHIST

CLEARINGISREVERSED

Clearing Is Reversed

CLEARINGDOCFISCALYEAR

Clearing Fisc. Year

ACCOUNTINGDOCUMENTTYPE

Journal Entry Type

COMPANYCODECURRENCY

Company Code Crcy

AMOUNTINCOMPANYCODECURR

Amount in CC Crcy

TRANSACTIONCURRENCY

Transaction Currency

CASHDISCOUNTBASEAMOUNT

Cash Dscnt Base Amt

NETPAYMENTAMOUNT

Net Payment Amount

NETDUEDAYS

Net Due Days

DUEDAYS

Due Days

POSTINGDAYS

Posting Days

CLEARINGDAYS

Clearing Days

OVERDUEDAYS

Overdue Days

LASTDUNNINGDAYS

Last Dunning Days

CASHDISCOUNT1DAYS

Cash Discount Days 1

2.8.4.2 SAP__FI_AR_PAYMENTFORECASTINGCURR
The dataset SAP__FI_AR_PAYMENTFORECASTINGCURR contains the same columns as the dataset SAP__FI_AR_PAYMENTFORECASTINGHIST. The only difference is that the filter CLEARINGDATEFISCALYEAR = 0000 is applied to ensure that the clearing date is missing, indicating that the invoice is not cleared.

2.8.4.3 SAP__FI_AR_PAYMENTFORECASTINGPRED

The dataset SAP__FI_AR_PAYMENTFORECASTINGPRED contains the columns that SAP__FI_AR_PAYMENTFORECASTINGCURR has with additional columns created by the predictive scenario. These additional columns supplement the predictive modelling process but have not been included in the analytics models or the story. Lastly, this dataset includes the predictive output column rr_CLEARINGDAYS.

Dataset Name: SAP__FI_AR_PAYMENTFORECASTINGPRED

 Dataset Description: SAP Finance: Accounts Receivable - Current Invoices with Predictions  Connection: Output dataset from predictive scenario: SAP__FI_AR_PAYMENTFORECASTING

Variables Column Header

Mapping in YY1_OPACDOIT

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Dataset Name: SAP__FI_AR_PAYMENTFORECASTINGPRED

KxIndex

<Unique key generated by the predictive scenario>

ID

<Unique key generated by S/4HANA>

COMPANYCODE

Company Code

ACCOUNTINGDOCUMENT

Journal Entry

FISCALYEAR

Fiscal Year

ACCOUNTINGDOCUMENTITEM

Posting View Item

KEYDATE

Key Date

DOCUMENTDATE

Journal Entry Date

NETDUEDATE

Net Due Date

DUECALCULATIONBASEDATE

Due Calculation Base Date

POSTINGDATE

Posting Date

CLEARINGDATE

Clearing Date

LASTDUNNINGDATE

Last Dunned

CASHDISCOUNT1DUEDATE

Cash Disc 1 Due Date

PAYMENTTERMS

Payment Terms

GLACCOUNT

G/L Account

POSTINGKEY

Posting Key

DEBITCREDITCODE

Debit/Credit Code

FISCALPERIOD

Fiscal Period

CUSTOMER

Customer

PLANNINGLEVEL

Planning Level

COUNTRY

Country

FINANCIALACCOUNTTYPE

Account Type

BILLINGDOCUMENT

Billing Document

CLEARINGISREVERSED

Clearing Is Reversed

CLEARINGDOCFISCALYEAR

Clearing Fisc. Year

ACCOUNTINGDOCUMENTTYPE

Journal Entry Type

COMPANYCODECURRENCY

Company Code Crcy

AMOUNTINCOMPANYCODECURR

Amount in CC Crcy

TRANSACTIONCURRENCY

Transaction Currency

CASHDISCOUNTBASEAMOUNT

Cash Dscnt Base Amt

NETPAYMENTAMOUNT

Net Payment Amount

NETDUEDAYS

Net Due Days

DUEDAYS

Due Days

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Dataset Name: SAP__FI_AR_PAYMENTFORECASTINGPRED

POSTINGDAYS

Posting Days

CLEARINGDAYS

Clearing Days

OVERDUEDAYS

Overdue Days

LASTDUNNINGDAYS

Last Dunning Days

CASHDISCOUNT1DAYS

Cash Discount Days 1

KEYDATE_Y KEYDATE_M KEYDATE_DoM

These are additional features created by the predictive sce nario for date variables. They are omitted from the analytics models.

KEYDATE_DoW

KEYDATE_DoY

KEYDATE_QoY

KEYDATE_MoQ

DOCUMENTDATE_Y

DOCUMENTDATE _M

DOCUMENTDATE _DoM

DOCUMENTDATE _DoW

DOCUMENTDATE _DoY

DOCUMENTDATE _QoY

DOCUMENTDATE _MoQ

NETDUEDATE_Y

NETDUEDATE _M

NETDUEDATE _DoM

NETDUEDATE _DoW

NETDUEDATE _DoY

NETDUEDATE _QoY

NETDUEDATE _MoQ

DUECALCULATIONBASEDATE_Y

DUECALCULATIONBASEDATE _M

DUECALCULATIONBASEDATE _DoM

DUECALCULATIONBASEDATE _DoW

DUECALCULATIONBASEDATE _DoY

DUECALCULATIONBASEDATE _QoY

DUECALCULATIONBASEDATE _MoQ

POSTINGDATE_Y

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Dataset Name: SAP__FI_AR_PAYMENTFORECASTINGPRED

POSTINGDATE _M

POSTINGDATE _DoM

POSTINGDATE _DoW

POSTINGDATE _DoY

POSTINGDATE _QoY

POSTINGDATE _MoQ

LASTDUNNINGDATE_Y

LASTDUNNINGDATE _M

LASTDUNNINGDATE _DoM

LASTDUNNINGDATE _DoW

LASTDUNNINGDATE _DoY

LASTDUNNINGDATE _QoY

LASTDUNNINGDATE _MoQ

CASHDISCOUNT1DUEDATE_Y

CASHDISCOUNT1DUEDATE _M

CASHDISCOUNT1DUEDATE _DoM

CASHDISCOUNT1DUEDATE _DoW

CASHDISCOUNT1DUEDATE _DoY

CASHDISCOUNT1DUEDATE _QoY

CASHDISCOUNT1DUEDATE _MoQ

rr_CLEARINGDAYS

This additional column is created by the predictive scenario. It represents the predicted value for the target.

2.8.5 Navigating the Content
Please visit this blog which explains how to navigate this content and understand the various KPIs.

2.8.6 Recreating the Content 2.8.6.1 Creating your custom CDS view in S/4HANA Cloud
Prerequisites
<S4User>/<S4Password> with the following roles on S/4HANA Cloud <S4Tenant>:

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 SAP_BR_ADMINISTRATOR  SAP_BR_BPC_EXPERT  SAP_BR_ANALYTICS_SPECIALIST The user will create a custom CDS view and expose it via S/4HANA Cloud extensibility apps.
Context
Procedure
1. Connect to <S4Tenant> and launch Custom CDS Views extensibility app. 2. Search for CDS View I_OperationalAcctgDocItem (Operational Accounting Document Item). 3. Select it and click Create.
The New Custom CDS View form appears. 4. Enter the Name: YY1_OPACDOIT, Label: YY1_OPACDOIT, and click check box External API:

5. Click on Field Selection tab.
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 Note
The source CDS view key fields are already selected for your custom CDS view.

6. The list of fields that should be added to/created in the custom CDS view can be found here:

Custom CDS View Name: YY1_OPACDOIT

 Custom CDS View Description: YY1_OPACDOIT  External API: Yes  Source CDS View(s): I_OperationalAcctgDocItem

Fields

Name

Label

I_OperationalAcctgDocItem.Compa Company Code nyCode *

I_OperationalAcctgDocItem.Accoun Journal Entry tingDocument *

I_OperationalAcctgDocItem.Fiscal Year *

Fiscal Year

I_OperationalAcctgDocItem.Accoun Posting View Item tingDocumentItem *

KeyDate **

Key Date

I_OperationalAcctgDocItem.Docu mentDate

Journal Entry Date

I_OperationalAcctgDocItem.NetDue Net Due Date Date

Data Type CHAR (4) CHAR (10) NUMC (4) NUMC (3) DATS (16) DATS (16) DATS (16)

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Custom CDS View Name: YY1_OPACDOIT

I_OperationalAcctgDocItem.DueCal Due Calculation Base Date culationBaseDate

I_OperationalAcctgDocItem.Postin gDate

Posting Date

I_OperationalAcctgDocItem.Clearing Clearing Date Date

I_OperationalAcctgDocItem.LastDun Last Dunned ningDate

I_OperationalAcctgDocItem.CashDis Cash Disc 1 Due Date count1DueDate

I_OperationalAcctgDocItem.Payment Payment Terms Terms

I_OperationalAcctgDocItem.GLAc count

G/L Account

I_OperationalAcctgDocItem.Postin gKey

Posting Key

I_OperationalAcctgDocItem.DebitCre Debit/Credit Code ditCode

I_OperationalAcctgDocItem.FiscalPer Fiscal Period iod

I_OperationalAcctgDocItem.Cus tomer

Customer

I_OperationalAcctgDocItem.Plannin Planning Level gLevel

I_OperationalAcctgDocItem.Cus tomer.Country

Country

I_OperationalAcctgDocItem.Financia Account Type lAccountType

I_OperationalAcctgDocItem.BillingDo Billing Document cument

I_OperationalAcctgDocItem.Clearin Clearing Is Reversed gIsReversed

I_OperationalAcctgDocItem.Clearing Clearing Fisc. Year DocFiscalYear

I_OperationalAcctgDocItem.Accoun Journal Entry Type tingDocumentType

I_OperationalAcctgDocItem.IsSales Is Sales Related Related

I_OperationalAcctgDocItem.Compa Company Code Crcy nyCodeCurrency

I_OperationalAcctgDocItem.Amoun Amount in CC Crcy tInCompanyCodeCurrency

DATS (16) DATS (16) DATS (16) DATS (16) DATS (16) CHAR (4) CHAR (10) CHAR (2) CHAR (1) NUMC (3) CHAR (10) CHAR (2) CHAR (3) CHAR (1) CHAR (10) CHAR (1) NUMC (4) CHAR (2) CHAR (1) CUKY (5) CURR (12)

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Custom CDS View Name: YY1_OPACDOIT

I_OperationalAcctgDocItem.Transac Transaction Currency tionCurrency

I_OperationalAcctgDocItem.CashDis Cash Dscnt Base Amt countBaseAmount

I_OperationalAcctgDocItem.NetPay Net Payment Amount mentAmount

NetDueDays **

Net Due Days

DueDays **

Due Days

PostingDays **

Posting Days

ClearingDays **

Clearing Days

OverdueDays **

Overdue Days

LastDunningDays **

Last Dunning Days

I_OperationalAcctgDocItem.CashDis Cash Discount Days 1 count1Days

 Note
 * *Key Field  * ** Calculated Field

CUKY (5)
CURR (12)
CURR (12)
INT4 (4) INT4 (4) INT4 (4) INT4 (4) INT4 (4) INT4 (4) DEC (2)

7. The formulas for the calculated fields above can be found here:

Calculated Fields of Custom CDS View YY1_OPACDOIT

Name

Formula

KeyDate

 Source Code

cast( $session.system_date as ABAP.DATS )

NetDueDays

 Source Code
case when I_OperationalAcctgDocItem.NetDueDa te = '00000000' then 0 else DATS_DAYS_BETWEEN(I_OperationalAcc tgDocItem.DocumentDate,I_Operation alAcctgDocItem.NetDueDate) end

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Calculated Fields of Custom CDS View YY1_OPACDOIT DueDays

 Source Code
case when I_OperationalAcctgDocItem.DueCalcu lationBaseDate = '00000000' then 0 else DATS_DAYS_BETWEEN(I_OperationalAcc tgDocItem.DocumentDate,I_Operation alAcctgDocItem.DueCalculationBaseD ate) end

PostingDays

 Source Code
case when I_OperationalAcctgDocItem.PostingD ate = '00000000' then 0 else DATS_DAYS_BETWEEN(I_OperationalAcc tgDocItem.DocumentDate,I_Operation alAcctgDocItem.PostingDate) end

ClearingDays

 Source Code
case when I_OperationalAcctgDocItem.Clearing Date = '00000000' then 0 else DATS_DAYS_BETWEEN(I_OperationalAcc tgDocItem.DocumentDate,I_Operation alAcctgDocItem.ClearingDate) end

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Calculated Fields of Custom CDS View YY1_OPACDOIT OverdueDays

 Source Code
case when I_OperationalAcctgDocItem.Clearing Date = '00000000' then DATS_DAYS_BETWEEN(I_OperationalAcc tgDocItem.NetDueDate,cast($session .system_date as ABAP.DATS)) else DATS_DAYS_BETWEEN(I_OperationalAcc tgDocItem.NetDueDate,I_Operational AcctgDocItem.ClearingDate) end

LastDunningDays

case when I_OperationalAcctgDocItem.LastDunningDate = '00000000'
then
0
else
DATS_DAYS_BETWEEN(I_OperationalAcctgDocItem.Doc umentDate,I_OperationalAcctgDocItem.LastDunning Date)
End

8. For example, you create the calculated field LastDunningDays by clicking Add, entering the formula, and click Apply in the dialog box below:

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Once all fields are created, the form should look like this:

9. Click on Publish to publish your custom CDS view.
You have now created the custom CDS view YY1_OPACDOIT on top of CDS View I_OperationalAcctgDocItem and generated the external API service YY1_OPACDOIT_CDS. Now, you can securely expose this service for consumption via SAP Analytics Cloud.

2.8.6.2 Acquiring your S/4HANA Cloud custom CDS view data into SAP Analytics Cloud datasets

To connect to SAP S/4HANA Cloud OData services, the necessary configuration is documented in scope item 1YB: https://rapid.sap.com/bp/#/scopeitems/1YB

The corresponding steps can be summarized as follows:

Configure acquisition of S/4HANA Cloud custom CDS view data into SAP Analytics Cloud

In S/4HANA Cloud Tenant <S4Tenant>

Step / App

Action(s)

1 / Maintain Communication Users

Create communication user <SAC_USER> (Name/Pass).

2 / Communication Systems

Create communication system <SAC_SYSTEM> and assign user <SAC_USER> for inbound communication.

3 / Communication Arrangements

Create communication arrangement SAP_COM_0087_CA on top of communication scenario SAP_COM_0087, with system <SAC_SYSTEM> and user <SAC_USER>.

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Configure acquisition of S/4HANA Cloud custom CDS view data into SAP Analytics Cloud

4 / Custom Communication Scenarios

Create custom communication scenario YY1_OPACDOIT_CS and add service YY1_OPACDOIT_CDS to it.

Trigger creation of attached communication arrangement (this takes you to the next step).

5 / Communication Arrangements

Create communication arrangement YY1_OPACDOIT_CA and add system <SAC_SYSTEM> (then <SAC_USER> is au tomatically added).

Take note of the root URL of the OData service:

https://<myxxxxxx-api.s4hana.ondemand.com>:<port>

In SAP Analytics Cloud Tenant <SACTenant> Step / App 1 / Main Menu/Connection

Action(s)
Create a S/4HANA OData import connection <S4Tenant Connection>. Enter the Data Service URL noted in step 5 above. Select Basic Authentication. Enter <SAC_USER> Name/Pass. Share the connection if needed. Click on OK.

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Configure acquisition of S/4HANA Cloud custom CDS view data into SAP Analytics Cloud

2 / Browse/Files

Create a dataset XXX__FI_AR_IM_PAYMENTFORECAS TINGHIST (replace prefix XXX by your namespace to replace SAP prefix).

Select Data acquired from S/4HANA. Select connection cre ated in step 1 (<S4TenantConnection>). The following dialog box pops up:

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Configure acquisition of S/4HANA Cloud custom CDS view data into SAP Analytics Cloud

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Select service YY1_OPACDOIT, and click Next. Drag/Drop all fields in Selected Data and set the filters as shown below (re place Company Code 1710 by your company code):
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Configure acquisition of S/4HANA Cloud custom CDS view data into SAP Analytics Cloud
Click Create, and save the resulting dataset as XXX__FI_AR_IM_PAYMENTFORECASTINGHIST.

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Configure acquisition of S/4HANA Cloud custom CDS view data into SAP Analytics Cloud

3 / Browse/Files

Create dataset XXX__FI_AR_IM_PAYMENTFORECASTING CURR (replace prefix XXX by your namespace to replace SAP prefix). Perform the Step 2 as shown above again, only this time the last filter is different: Replace Clearing Fisc. Year Except 0000 by Clearing Fisc. Year Equal to 0000:

Click Create, and save the resulting dataset as XXX__FI_AR_IM_PAYMENTFORECASTINGCURR.
2.8.6.3 Creating the Predictive Scenario and Predictive Output
Prerequisites
Now that the datasets for both historical invoices and current invoices are acquired into SAP Analytics Cloud as datasets, the first step is to create a predictive scenario.

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Procedure
1. Navigate to the main Menu Create Predictive Scenario . Click Regression.
2. Give your Predictive Scenario the name XXX__FI_AR_PAYMENTFORECASTING. You can add a description such as SAP Finance: Accounts Receivable, Invoice Payment Forecasting.
3. Click Create Predictive Model to start and add a description for your model if you'd like. Then, click OK.
4. A predictive model needs historical data to learn from as part of the model training process. You need to select an input dataset, which in this case would be the historical dataset you created in the section Acquiring your S/4HANA Cloud custom CDS view into SAP Analytics Cloud datasets. If you want to use the sample data we have provided instead, please use the dataset SAP__FI_AR_PAYMENTFORECASTINGHIST.
5. The next step would be to verify the metadata for your dataset. Given this data is acquired by SAP S/ 4HANA system, the metadata is preserved from the source. You can learn more about editing variable metadata in the SAP Analytics Cloud Help.
6. The target variable represents the column in the dataset which answers what you are trying to predict, or your business question. In this use case, we want to predict the number of days it will take an invoice to clear in the system. Select CLEARINGDAYS as the target variable.
7. Excluding variables from the model training allows you to remove variables that are unique IDs, variables can be directly related to the target variable, or variables that contain information might not be available at the time of applying the model. Exclude the following 6 variables:
 ID  ACCOUNTINGDOCUMENT  OVERDUEDAYS  CLEARINGDATE  CLEARINGISREVERSED  CLEARINGDOCFISCALYEAR
8. Click Train to train your predictive model. If you are prompted to save your changes, click Yes.
Depending on the size of your dataset, the model training can take a few minutes. Once the process is complete, you will be presented with the model debrief screen. From the debrief, you can determine whether you want to move forward and apply this model, or if you want to retrain the model with some changes. Find out more about analyzing your regression model in the SAP Analytics Cloud Help.
9. To apply the model, click the icon that resembles a factory. The input dataset for this step is the data you want to create predictions for, which in this case would be the dataset containing current invoices that you created in the section Acquiring your customer CDS view into an SAP Analytics Cloud dataset. If you want to use the sample data we have provided instead, please use the dataset SAP__FI_AR_PAYMENTFORECASTINGCURR. The predictive scenario will create a new dataset which contains the outputs from applying the model. Under Output Dataset, choose where to save this dataset and give it a name. Lastly, you can select they type of output columns you would like to have in your output dataset. We suggest selecting All Variables under Input Dataset Variables and Predicted Value under Predictions. To learn more about predictive outputs, see the SAP Analytics Cloud Help.
Depending on the size of your dataset, the model application might take a few minutes. You can check the status of the application by clicking on the arrow on bottom bar, beside Predictive Models. This will open

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the model version review panel, where you will see the status change to Applied once the application is

complete. After the model is applied, you will notice that the predictive output dataset exists in the file structure. You can now use this dataset as a source for models or stories.
2.8.6.4 Recreating the Story
Content based off predictive scenarios is different than other content as it utilizes the dataset. At this time, datasets cannot be mapped to existing models. If you have created a new predictive output dataset via the steps above, you need to recreate the models and reproduce the story.
2.8.6.4.1 Creating the Models
You need to create 2 models for the historical data and the current invoices with predictions.

Context
To create the historical data model:

Procedure
1. Navigate to the main Menu Create Model . Select Get data from a data source followed by Dataset and select your historical dataset which was created in the previous steps.
2. Change the model name and add a description in the right-side panel:  Name: FI_AR_IM_PAYMENTHIST  Description: SAP Finance: Accounts Receivable ­ Historical Cleared Invoices
3. Navigate to Card View under Mode and delete the columns FISCALPERIOD and CLEARINGDOCFISCALYEAR.
4. Change KEYDATE to Dimension under Type. 5. Ensure the following columns are set to Measure under Type:
 AMOUNTINCOMPANYCODECURR  CASHDISCOUNTBASEAMOUNT  NETPAYMENTAMOUNT

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 NETDUEDAYS  DUEDAYS  POSTINGDAYS  CLEARINGDAYS  OVERDUEDAYS  LASTDUNNINGDAYS  CASHDICSOUNT1DAYS 6. Rename AMOUNTINCOMPANYCODECURR to AMOUNTINCOCURR by double-clicking on the card's title.
7. Click Create Model Create 8. Identify AMOUNTINCOCURR CASHDISCOUNTBASEAMOUNT and NETPAYMENTAMOUNT as Currency
under Units & Currencies. 9. Change the default decimal places to 0 for:
 NETDUEDAYS  DUEDAYS  POSTINGDAYS  CLEARINGDAYS  OVERDUEDAYS  LASTDUNNINGDAYS  CASHDICSOUNT1DAYS 10. Once complete, save the model.
11. For the predictive output model: Navigate to the Menu Create Model . Select Get data from a datasource followed by Dataset and select your predictive output dataset which was created in the previous steps.
12. Next, change the model name and add a description in the right-side panel:  Name: FI_AR_IM_PAYMENTPRED  Description: SAP Finance: Accounts Receivable, Current Invoices with Predictions
13. Navigate to Card View under Mode and delete the following columns:  KxIndex  CLEARINGDATE  FISCALPERIOD  CLEARINGDOCFISCALYEAR
14. Remove all columns from KEYDATE_Y to CASHDISCOUNT1DUEDATE_MoQ (inclusive).
 Tip
The easiest way to do this is to select KEYDATE_Y, hold shift and select CASHDISCOUNT1DUEDATE_MoQ.
15. Change KEYDATE to Dimension under Type. 16. Ensure the following columns are set to Measure under Type:
 AMOUNTINCOMPANYCODECURR  CASHDISCOUNTBASEAMOUNT  NETPAYMENTAMOUNT  NETDUEDAYS  DUEDAYS

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 POSTINGDAYS  CLEARINGDAYS  OVERDUEDAYS  LASTDUNNINGDAYS  CASHDICSOUNT1DAYS  rr_CLEARINGDAYS 17. Rename AMOUNTINCOMPANYCODECURR to AMOUNTINCOCURR by double-clicking on the card's title. Rename rr_CLEARINGDAYS to PRED_CLEARINGDAYS. 18. Create a calculated column by selecting the "fx" button in the top toolbar, under Transformations. Name the calculated column PRED_OVERDUEDAYS. For the formula, use the following:
 Source Code
IF([PRED_CLEARINGDAYS]-[NETDUEDAYS]>=0, [PRED_CLEARINGDAYS]-[NETDUEDAYS], 0)
19. Click Preview to ensure the calculation is correct, and then click OK.
20.Click Create Model Create . 21. Identify AMOUNTINCOCURR CASHDISCOUNTBASEAMOUNT and NETPAYMENTAMOUNT as Currency
under Units & Currencies. 22. Change the default decimal places to 0 for:
 NETDUEDAYS  DUEDAYS  POSTINGDAYS  CLEARINGDAYS  OVERDUEDAYS  LASTDUNNINGDAYS  CASHDICSOUNT1DAYS  PRED_CLEARINGDAYS 23. Once complete, save the model.

2.8.6.4.2 Duplicate the Story and Remove the Existing Models
The easiest way to recreate the sample story and preserve the formatting is to Save As... a copy of the story with a different name.
In the new story, you will want to upload the new models. To do this, enter edit mode and navigate to the data tab. Where the existing models are listed, click to Add New Data and add both models you created in the previous steps.
Once you have completed this, navigate back to the story and enter designer mode. For all charts and tables, you will want to switch the existing model for your relevant model. You cannot easily switch input controls, so they need to be recreated. Once you have replaced all the models, save the story. SAP Analytics Cloud will ask you if you would like to remove models SAP__FI_AR_IM_PAYMENTHIST and SAP__FI_AR_IM_PAYMENTPRED because they are not being used. Click Remove. For good measure, navigate out to the file structure and

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navigate back into the story to ensure that the calculated measures and dimensions from the sample models are fully removed.
2.8.6.4.3 Recreate the Calculations
The next step is to create the calculated measures and dimensions to ensure the visualizations can be rebuilt. Please see the section FI-AR-PF: Stories above for the formulas required to rebuild the calculations.
2.8.6.4.4 Rebuild the Story
If you would like to rebuild the sample visualizations, open a new browser window and navigate to the sample story: SAP__FI_AR_PAYMENTFORECASTING. Recreate the visualizations by using the sample story as a reference and select the same measures and dimensions for your story. You can also add the same tooltips.
Next, you can move forward with replicating the conditional formatting and linked analysis settings.
If by chance, the formatting for the story is lost, follow this guide:  Chart Titles:
 Font: 72-Web  Size: 24  Color: Hex 213f57  Chart subtitles:  Font: 72-Web  Size: 16  Color: Hex 58595b  Table headers:  Font: 72-Web  Size: 14  Color: Hex 213f57  Style: Bold  Table Cells:  Font: 72-Web  Size: 13  Input Control titles:  Font: 72-Web  Size: 20  Color: Hex 213f57

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2.9 Financial Analytics Dashboard for SAP Analytics Cloud
2.9.1 Financial Analytics Dashboard for SAP Analytics Cloud
The Financial Analytics Dashboard for SAP Analytics Cloud content consists of two packages. An SAP Data Warehouse Cloud package and an SAP Analytics Cloud package for the visualizations. Find the SAP Datawarehouse Cloud package in the Content Network in your SAP Data Warehouse Cloud instance. Install both packages to use the content entirely.
Financial Analytics Dashboard for SAP Analytics Cloud content monitors and acts on the most critical business metrics and improve the company's overall Financial and Human Resource health. This package has a dependency on the SAP Data Warehouse Cloud Package: Financial analytics dashboard for SAP Analytics Cloud. Before importing the content, please read the documentation carefully and set up the required connections.
Find all details (architecture, configuration) and documentation about this package in 3013006 - Financial Analytics Dashboard for SAP Analytics Cloud - Implementation Help.

2.10 Financial Consolidation for SAP S/4HANA Cloud (SAP BEST PRACTICES)
2.10.1 Financial Consolidation for SAP S/4HANA Cloud (SAP BEST PRACTICES)
SAP Financial Consolidation for S/4HANA Cloud content (2K6) is using live connections. Before importing the content, please read the documentation carefully and set up the required connections. Find all details and documentation about this scope item in SAP Best Practices Explorer: SAP S/4HANA Cloud Consolidation content.

2.11 Finance Contract Accounts (FI-CA)
2.11.1 Architecture and Abstract
The contract accounts payable and receivable (FI-CA) sub ledger is an extended version of the Accounts Payable and Accounts Receivable components with additional functions for certain industries such as public utilities, insurance, and telecommunications (increased volume of customers). Architecture

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The Finance Contract Accounts content described herein is built on the SAP BW BI Content Add-On. It provides information on overdue and cleared customer bills, sub ledger Days Sales Outstanding as well as Dunning evaluation and activity.

Usage in Industry-specific Boardrooms
To use the Finance Contract Accounts boardroom as is, industries can make a copy of the story SAP__FI_CA_ANALYSIS to their own namespace.
Alternatively, industries can create their own stories, pointing to the FI-CA SAP Analytics Cloud models described as above. You will find below a list of industry stories pointing to one or more of these models:

Industry SAP Utilities SAP Utilities

Story SAP__UTL_RA_ANALYSIS SAP__UTL_CE_ANALYSIS

2.11.2 Stories
There is a single story for Finance Contract Analysis as described below:

2.11.2.1 Contract Accounts Analysis (SAP__FI_CA_ANALYSIS)

Name: SAP__FI_CA_ANALYSIS

Description: SAP Finance: Contract Accounts Analysis

Page: Detail

Charts

Title

Models Used

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Name: SAP__FI_CA_ANALYSIS

DSO Trend

SAP_FI_CA_IM_DSOYR

Sub ledger Days Sales Outstanding by Year

DSO by Main Transaction

SAP_FI_CA_IM_DSOYRMT

Sub ledger Days Sales Outstanding by Main Transaction for Current year

Current Overdue Amounts

SAP_FI_CA_IM_OVERDUE

Overdue amount by Time bucket (<1 day, 1 ­ 30 days, 31 ­ 60 days, 61 ­ 90 days, > 90 days) at Current date

Overdue Amount by Main Transaction SAP_FI_CA_IM_OVERDUE

Total overdue amount by Main transaction at Current date

Top 100 Customers Overdue

SAP_FI_CA_IM_OVERDUEBP

Top 100 customers overdue amount by Division (Electricity or Gas) at Current date

Clearing Analysis Last 12 Months

SAP_FI_CA_IM_CLEARING

Total clearing amount and Total number of cleared items by Clearing Reason Last 12 months

# of Dunning Activities Last 12 Months SAP_FI_CA_IM_DUNACT

Number of activities by Dunning procedure and Dunning Level Last 12 Months

All Divisions

SAP_FI_CA_IM_DUNEVA

Number of dunning notices, Dunning balance (USD), and Average dunning success (%) for All divisions

Electricity Division

SAP_FI_CA_IM_DUNEVA

Number of dunning notices, Dunning balance (USD), and Average dunning success (%) for Electricity division

Gas Division

SAP_FI_CA_IM_DUNEVA

Number of dunning notices, Dunning balance (USD), and Average dunning success (%) for Gas division

Overdue Amount Last 2 Quarters

SAP_FI_CA_IM_OVERDUE

Overdue amount by Time bucket (<1 day, 1 ­ 30 days, 31 ­ 60 days, 61 ­ 90 days, > 90 days) by Month for Last 2 quarters

Dunning Balance Last 2 Quarters

SAP_FI_CA_IM_OVERDUE

Dunning balance by Dunning level by Month for Last 2 quarters

Page: Context

Charts

Title

Models Used

Top 100 Customers Overdue

SAP__FI_CA_IM_OVERDUEBPGEO

Combination of Geomap and Grid visualizations allowing interactive analysis of Top 100 customers overdue by Geo loca tion.

2.11.3 Models

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2.11.3.1 Contract Accounts Overdue (SAP__FI_CA_IM_OVERDUE)

Model Name: SAP__FI_CA_IM_OVERDUE
 Model Description: SAP Finance: Contract Accounts Overdue
 Planning Enabled: No

Account

ID

Description

<_1_day_overdue_amount < 1 day overdue

1_-_30_days_over due_amount

1 - 30 days overdue

31_-_60_days_over due_amount

31 - 60 days overdue

61_-_90_days_over due_amount

61 - 90 days overdue

>_90_days_overdue_amount > 90 days overdue

Total_open_amount

Total open amount

Total_clearing_amount

Total clearing amount

Total_overdue_amount

Total overdue amount

Dimensions

Name

Descr.

Time*

Time

SAP_ALL_COMPANYCODE Company Code

SAP_ALL_DIVISION

Division

SAP_ALL_BUSINESSAREA Business Area

SAP_FI_CA_MAINTRANSAC Main Transaction TION

Connection
 Connection type: Data import from SAP BW  Connection Query: Custom Query
V_FICA05_Q0001_Z01 (see description in next step)  Connection Variables: Key Date for Comparison (Man
ual Entry to set Key Date for Net Due Date) (0P_CSDT2) For example: 20.10.2017  Key Date for Clearing Date (SAP Exit to set Key Date for Clearing Date) (0P_AUGDT)

Mapping/Formula < 1 day overdue amount 1 - 30 days overdue amount
31 - 60 days overdue amount
61 - 90 days overdue amount
> 90 days overdue amount Total open amount Total clearing amount [<_1_day_overdue_amount] +[1_-_30_days_overdue_amount] +[31_-_60_days_overdue_amount] +[61_-_90_days_overdue_amount] +[>_90_days_overdue_amount]

Mapping Description Document Date Company Code Division Business Area Main Transaction

Technical Name 0DOC_DATE 0COMP_CODE 0DIVISION 0BUS_AREA 0CAMNTRANS

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 Note
* Private dimension and other dimensions are public.
2.11.3.2 How to create Custom Query V_FICA05_Q0001_Z01
Procedure
1. Open query /IMO/V_FICA05_Q0001 with SAP BEx Query Designer. 2. Save it as V_FICA05_Q0001_Z01. 3. Navigate to the Rows/Column Tab. 4. Free Characteristics:
Drag/Drop dimensions from/to InfoProvider /IMO/V_FICA05 for a result as displayed in the screenshot below. 5. Rows: Drag/Drop dimensions from/to InfoProvider /IMO/V_FICA05 for a result as displayed in the screenshot below. 6. Columns:  Rename structure Grid to Key Figures for a result as displayed in the screenshot below.  Delete structure Open items for a result as displayed in the screenshot below.  Append overdue amount to the description of key figures "< 1", "1 ­ 30", "31 ­ 60", "61 ­ 90" and "> 90"
for a result as displayed in screenshot below.  Append open amount to the description of key figure Total for a result as displayed in the screenshot
below

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.

7. Edit key figure selections < 1 day overdue amount, 1 ­ 30 days overdue amount, 31 ­ 60 days overdue amount, 61 ­ 90 days overdue amount, > 90 days overdue amount, and Total open amount by adding dimension [0FC_ABWTP] Object Type with values = [#] Not Assigned and = [S] S in the Details of the

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Selection. The result for key figure < 1 day overdue amount is displayed in the screenshot below.

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8. Create key figure selection, Total clearing amount, following the definitions displayed in the screenshot below.

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9. Create key figure selection Total overdue amount, following the definitions displayed in the screenshot below.

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10. Set this key figure to Always Hide as displayed in the screenshot below.

11. Save the query.

2.11.3.3 Contract Accounts Overdue w/ Business Partner Data (SAP__FI_CA_IM_OVERDUEBP)

Model Name: SAP__FI_CA_IM_OVERDUEBP
 Model Description: SAP Finance: Contract Accounts Overdue w/ Business Partner Data
 Planning Enabled: No

DSO/DPO Account ID <_1_day_overdue_amount

Description < 1 day overdue

Connection
 Connection type: Data import from SAP BW  Connection Query: Custom Query
V_FICA05_Q0001_Z02 (see description in next step)  Connection Variables: Key Date for Comparison (Man
ual Entry to set Key Date for Net Due Date) (0P_CSDT2) For example: 20.10.2017  Key Date for Clearing Date (SAP Exit to set Key Date for Clearing Date) (0P_AUGDT) Set to 0P_CSDT2 via SAP Exit (Default is System Date)
Mapping/Formula < 1 day overdue amount

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Model Name: SAP__FI_CA_IM_OVERDUEBP

Connection

1_-_30_days_over due_amount

1 - 30 days overdue

31_-_60_days_over due_amount

31 - 60 days overdue

61_-_90_days_over due_amount

61 - 90 days overdue

>_90_days_overdue_amount > 90 days overdue

Total_open_amount

Total open amount

Total_clearing_amount

Total clearing amount

Total_overdue_amount

Total overdue amount

1 - 30 days overdue amount
31 - 60 days overdue amount
61 - 90 days overdue amount
> 90 days overdue amount Total open amount Total clearing amount [<_1_day_overdue_amount]

+[1_-_30_days_overdue_amount]

+[31_-_60_days_overdue_amount]

+[61_-_90_days_overdue_amount]

+[>_90_days_overdue_amount]

Dimensions

Name

Description

Mapping Description

Technical Name

Time*

Time

Document Date

0DOC_DATE

SAP_ALL_COMPANYCODE Company Code

Company Code

0COMP_CODE

SAP_ALL_DIVISION

Division

Division

0DIVISION

SAP_ALL_BUSINESSAREA Business Area

Business Area

0BUS_AREA

SAP_FI_CA_MAINTRANSAC Main Transaction TION

Main Transaction

0CAMNTRANS

SAP_ALL_CUSTOMER

Customer

Customer

0BPARTNER

SAP_ALL_CUSTOMERCOUN Customer Country TRY

Customer Country

0BPARTNER/0COUNTRY

SAP_ALL_CUSTOMERRE GION

Customer Region

Customer Region

0BPARTNER/0REGION

SAP_ALL_CUSTOMER PCODE

Customer Postal Code

Customer Postal Code

0BPARTNER/0POSTCD_GIS

Additional Notes about the model

This model extends the SAP__FI_CA_OVERDUE model by exposing Customer, Customer Country, Customer Region and Customer Postal Code dimensions. For volumetric reasons, it is mapped to a Top 100 Business Partners extension of the SAP__FI_CA_OVERDUE model data source as you will see described in detail below.

 Note
* Private dimension and other dimensions are public.

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2.11.3.4 How to create Custom Query V_FICA05_Q0001_Z02
Procedure
1. Open query /IMO/V_FICA05_Q0001 with SAP BEx Query Designer. 2. Save it as V_FICA05_Q0001_Z02. 3. Navigate to the Rows/Column Tab. 4. Free Characteristics:
Drag/Drop dimensions from/to InfoProvider /IMO/V_FICA05 for a result as displayed in the screenshot below. 5. Rows: Drag/Drop dimensions from/to InfoProvider /IMO/V_FICA05 for a result as displayed in the screenshot below.

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6. Columns:

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 Set key figure Total overdue amount to Always Show as displayed in the screenshot below. This is mandatory as the Top 100 condition set below uses this key figure. However, this key figure doesn't need to be mapped when acquiring from this BW Data Source as it is recomputed in SAP Analytics Cloud.

7. Select View/Conditions from the toolbar menu. This opens the Conditions tab. 8. Right-Click on the empty Conditions list to bring up the pop-up menu. Select New Condition. 9. Right-Click on the newly created condition to edit it. 10. Name this new condition Top 100. 11. Select the following condition parameters:
 Key figures: Total overdue amount  Operator: Top N  Values: 100 12. Click Transfer.

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The result is displayed in the screenshot below.

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13. Click OK
You now have a Top 100 condition set for the query V_FICA05_Q0001_Z02. 14. Savethe Query.

2.11.3.5 Contract Accounts Overdue w/ Business Partner and Geo Data (SAP__FI_CA_IM_OVERDUEBPGEO)

Model Name: SAP__FI_CA_IM_OVERDUEBP
 Model Description: SAP Finance: Contract Accounts Overdue w/ Business Partner Data
 Planning Enabled: No

DSO/DPO Account

ID

Description

<_1_day_overdue_amount < 1 day overdue

1_-_30_days_over due_amount

1 - 30 days overdue

31_-_60_days_over due_amount

31 - 60 days overdue

61_-_90_days_over due_amount

61 - 90 days overdue

>_90_days_overdue_amount > 90 days overdue

Total_open_amount

Total open amount

Total_clearing_amount

Total clearing amount

Total_overdue_amount

Total overdue amount

Dimensions Name Time*

Description Time

Connection
 Connection type: Data import from SAP BW  Connection Query: Custom Query
V_FICA05_Q0001_Z02 (see description in next step)  Connection Variables: Key Date for Comparison (Man
ual Entry to set Key Date for Net Due Date) (0P_CSDT2) for example 20.10.2017  Key Date for Clearing Date (SAP Exit to set Key Date for Clearing Date) (0P_AUGDT)  Set to 0P_CSDT2 via SAP Exit (Default is System Date)

Mapping/Formula < 1 day overdue amount 1 - 30 days overdue amount
31 - 60 days overdue amount
61 - 90 days overdue amount
> 90 days overdue amount Total open amount Total clearing amount [<_1_day_overdue_amount] +[1_-_30_days_overdue_amount] +[31_-_60_days_overdue_amount] +[61_-_90_days_overdue_amount] +[>_90_days_overdue_amount]

Mapping Description Document Date

Technical Name 0DOC_DATE

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Model Name: SAP__FI_CA_IM_OVERDUEBP

Connection

SAP_ALL_COMPANYCODE Company Code

Company Code

0COMP_CODE

SAP_ALL_DIVISION

Division

Division

0DIVISION

SAP_ALL_BUSINESSAREA Business Area

Business Area

0BUS_AREA

SAP_FI_CA_MAINTRANSAC Main Transaction TION

Main Transaction

0CAMNTRANS

SAP_ALL_CUSTOMER

Customer

Customer

0BPARTNER

SAP_ALL_CUSTOMERCOUN Customer Country TRY

Customer Country

0BPARTNER/0COUNTRY

SAP_ALL_CUSTOMERRE GION

Customer Region

Customer Region

0BPARTNER/0REGION

SAP_ALL_CUSTOMER PCODE

Customer Postal Code

Customer Postal Code

0BPARTNER/0POSTCD_GIS

Additional Notes about the model

This model extends the SAP__FI_CA_OVERDUE model by exposing Customer, Customer Country, Customer Region and Customer Postal Code dimensions. For volumetric reasons, it is mapped to a Top 100 Business Partners extension of the SAP__FI_CA_OVERDUE model data source as you will see described in detail below.

 Note
* Private dimension and other dimensions are public.

2.11.3.6 How to Geo Enrich the Model
Context
The model SAP__FI_CA_IM_OVERDUEBPGEO is delivered as an example with geocoded data pertinent to the delivered sample data set. You need to manually create your own SAP__FI_CA_IM_OVERDUEBPGEO model, as a derivative of model SAP__FI_CA_IM_OVERDUEBP, by injecting your own geo coding information. Perform the below steps:

Procedure
In Excel: 1. Create a table with headers CustomerPCodeGeo, Description, Latitude, Longitude, Time, and Measure. 2. Manually enter the values for each column.
 Description: The City name corresponding to these postal codes.  Latitude: The latitude corresponding to these postal codes.  Longitude: The longitude corresponding to these postal codes.

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 Time: The Start Date and the End Date for the analysis in model SAP__FI_CA_IM_OVERDUEBPGEO. You only need to enter these 2 distinct values across all rows.
 Measure: A value to set a measure for the model. For example, enter "1" for all rows. The result looks like the screenshot below.
In SAP Analytics Cloud: 3. Create a new model. 4. Select Import a file from your computer. 5. Upload the newly created Excel table as a CSV file. 6. This brings up the Data Integration screen. 7. Set the metadata for the imported CustomerPCodeGeo, Description, Latitude and Longitude headers. 8. Set CustomerPCodeGeo as Dimension. 9. Add Description header as Description attribute. 10. Add Latitude header as Property Attribute. 11. Add Longitude header as Property attribute. 12. Select Geo by Coordinate.

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13. Fill out the Create a Location Dimension dialog box as displayed in the screenshot below.

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14. Click on Create. 15. Set the metadata for the other imported headers.
 Time: Set as Time Dimension.  Measure: Set as Measure.
The result is displayed in the screenshot below.

16. Click on MODEL INFO. 17. Name the model SAP__FI_CA_IM_OVERDUEBPGEO. 18. Set the Description to SAP Finance: Contract Accounts Overdue w/ Business Partner and Geo Data. 19. Click on the Create Model button.

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A screenshot of the newly created initial SAP__FI_CA_IM_OVERDUEBPGEO model is displayed below
.
20.Clear this newly created model. 21. Delete Measure.
Your own model SAP__FI_CA_IM_OVERDUEBPGEO is now ready for mapping with its BW data source (see below).

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2.11.3.7 Contract Accounts Clearing (SAP__FI_CA_IM_CLEARING)

Model Name: SAP__FI_CA_IM_CLEARING
 Model Description: SAP Finance: Contract Accounts Clearing
 Planning Enabled: No

Account

ID

Description

Total_clearing_amount

Total clearing amount

Total_num ber_of_cleared_items

Total number of cleared items

Dimensions

Name

Description

Time*

Time

SAP_ALL_COMPANYCODE Company Code

SAP_ALL_DIVISION

Division

SAP_ALL_BUSINESSAREA Business Area

SAP_FI_CA_MAINTRANSAC Main Transaction TION

SAP_FI_CA_CLEARINGREA Clearing Reason SON

SAP_ALL_CUSTOMERCOUN Customer Country TRY

SAP_ALL_CUSTOMERRE GION

Customer Region

Connection
 Connection type: Import Data Connection to an SAP BW System
 Connection Query: Custom Query V_FICA05_Q0001_Z03 (see next step)
 Connection Variables: Date Range Selection (Manual Entry to set a range for Clearing Date) (0P_DATER). For example you can input [18.01.2014 - 20.10.2017].
Mapping/Formula Total clearing amount Total number of cleared items

Mapping Clearing Date Company Code Division Business Area Main Transaction
Clearing Reason
Country
Region

Technical Name 0CLEAR_DATE 0COMP_CODE 0DIVISION 0BUS_AREA 0CAMNTRANS
0FC_CLEARR
0BPARTNER/0BCOUNTRY
0BPARTNER/0REGION

 Note
* Private dimensionand other dimensions are public.

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2.11.3.8 How to create Connection Query: Custom Query V_FICA05_Q0001_Z03
Procedure
1. Open query V_FICA05_Q0001_Z01 with SAP BEx Query Designer. 2. Save it as V_FICA05_Q0001_Z03. 3. Navigate to the Rows/Column Tab. 4. Free Characteristics:
 Drag/Drop dimensions from/to InfoProvider /IMO/V_FICA05 for a result as displayed in the screenshot below.
5. Rows:  Drag/Drop dimensions from/to InfoProvider /IMO/V_FICA05 for a result as displayed in the screenshot below.
6. Columns:  Delete key figure selections < 1 day overdue amount, 1 ­ 30 days overdue amount, 31 ­ 60 days overdue amount, 61 ­ 90 days overdue amount, > 90 days overdue amount, Total open amount, and Total overdue amount for a result as displayed in the screenshot below.

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 Create key figure selection Total number of cleared items.

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 Edit key figure selection Total number of cleared items, following the definitions displayed in the screenshot below.

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 Click OK to validate your changes.
7. When acquiring from this BW data source into Analytics Cloud, we now need to make sure that we can select the correct volumetric for the number of records imported. This can be achieved by setting a variable as Characteristic Restriction filter for Clearing Date as follows:
8. Click on the Filter tab.
9. Drag/Drop [0CLEARDATE] Clearing Date into the Characteristic Restrictions area.
10. Restrict Characteristic [0CLEARDATE] Clearing Date by associating variable [0P_DATER] Date Range Selection to it. The result is shown in the screenshot below.

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11. Save the query.
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2.11.3.9 Contract Accounts DSO w/ Year (SAP__FI_CA_IM_DSOYR)

Model Name: SAP__FI_CA_IM_DSOYR
 Model Description: SAP Finance: Contract Accounts DSO w/ Year
 Planning Enabled: No

Account

ID

Description

2014_DSO

2014 DSO

2015_DSO

2015 DSO

2016_DSO

2016 DSO

2017_DSO

2017 DSO

Dimensions

Name

Description

SAP_ALL_COMPANYCODE Company Code

SAP_ALL_CUSTOMERCOUN Customer Country TRY

Connection
 Connection type: Import Data Connection to an SAP BW System
 Connection Query: Custom Query V_FICA05_Q0001_Z04
 Connection Variables: Because DSO is a non-additive key figure, Customer Country needs to be filtered to a single value (in our sample it is set to US) when acquir ing into SAP Analytics Cloud to retrieve the proper nonaggregable results.

Mapping/Formula 2014 DSO 2015 DSO 2016 DSO 2017 DSO
Mapping Company Code Customer Country

Technical Name 0COMP_CODE 0BPARTNER/0COUNTRY

 Note
* Private dimension and other dimensions are public.

2.11.3.10 How to create Connection Query: Custom Query V_FICA05_Q0001_Z04
Procedure
1. Open query V_FICA05_Q0001_Z03 with SAP BEx Query Designer. 2. Save it as V_FICA05_Q0001_Z04. 3. Navigate to the Filter tab.
Remove the characteristic restriction selection [0CLEAR_DATE] Clearing Date.

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4. Navigate to the Rows/Column tab. 5. Free Characteristics:
Leave as is. 6. Rows:
Remove the characteristic [0CLEAR_DATE] Clearing Date. 7. Columns:
 Remove selection Total clearing amount.  Remove selection Total number of cleared items.  Create selection 2014 clearing amount and set its display to Always Hide.

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 Add the definitions for selection "2014 clearing amount" as displayed in the screenshot below.

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 Create selections 2015 clearing amount, 2016 clearing amount, and 2017 clearing amount by replacing 2014 by respectively 2015, 2016, then 2017 in the definitions above.
 Create selection 2014 open amount and set its display to Always Hide.

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 Add the definitions for selection 2014 open amount as displayed in the screenshot below.

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 Create selections 2015 open amount, 2016 open amount, and 2017 open amount by replacing 2014 by respectively 2015, 2016, then 2017 in the definitions above.

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 Create formula 2014 DSO following the definitions displayed in the screenshot below.

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 Create formulas 2015 DSO, 2016 DSO, and 2017 DSO by replacing 2014 by respectively 2015, 2016, then 2017 in the definitions above. At this point, the custom query V_FICA05_Q0001_Z04 should look like this.

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8. Save the Query.

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2.11.3.11 Contract Accounts DSO w/ Year and Main Transaction Data (SAP__FI_CA_IM_DSOYRMT)

Model Name: SAP__FI_CA_IM_DSOYRMT Connection

 Model Description: SAP Finance: Contract Ac counts DSO w/ Year and Main Transaction Data
 Planning Enabled: No

 Connection type: Import Data Connection to an SAP BW System  Connection Query: Custom Query V_FICA05_Q0001_Z04  The custom BW query we acquire data from for this model is unchanged as compared
to model SAP__FI_CA_IM_DSOYR, since the computation of the non-additive key figure DSO is fully performed in BW  Because DSO is a non-additive key figure, Customer Country needs to be filtered to a single value (in our sample it is set to US) when acquiring into SAP Analytics Cloud to retrieve the proper non-aggregable results.

Account

ID

Description

Mapping/Formula

2014_DSO

2014 DSO

2014 DSO

2015_DSO

2015 DSO

2015 DSO

2016_DSO

2016 DSO

2016 DSO

2017_DSO

2017 DSO

2017 DSO

Dimensions

Name

Description

Mapping

Technical Name

SAP_ALL_COMPANYCODE Company Code

Company Code

0COMP_CODE

SAP_ALL_CUSTOMERCOUN Customer Country TRY

Customer Country

0BPARTNER/0COUNTRY

SAP_FI_CA_MAINTRANSAC Main Transaction TION

Main Transaction

0CAMNTRANS

Additional Notes about the model

This model is a derivative of model SAP__FI_CA_IM_DSOYR, in which we also retrieve dimension SAP_FI_CA_MAINTRAN SACTION to adequately gather proper non-aggregable values for reporting.

 Note
* Private dimension and other dimensions are public.

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2.11.3.12 Contract Accounts Dunning Evaluation (SAP__FI_CA_IM_DUNEVA)

Model Name: SAP__FI_CA_IM_DUNEVA

Connection

 Model Description: SAP Finance: Contract Accounts Dunning Evaluation
 Planning Enabled: No

 Connection type: Import Data Connection to an SAP BW System
 Connection Query: Custom Query 0FC_MP11_Q0001_Z01 (see next step)

Account

Mapping/Formula

ID

Description

Description

ID

Number_of_Dunning_Noti ces

Number of Dunning Notices Number of Dunning Notices 0FC_DUNNO

Success_Percentage

Success Percentage

Success Percentage

0FC_SUCPC

Dunning_Balance

Dunning Balance

Dunning Balance

0FC_MSALM

Dunning_Balance_Success Dunning Balance Successful Dunning Balance Successful 0FC_MSALMS ful

Dimensions

Mapping

ID

Description

Description

ID

SAP_ALL_COMPANYCODE Company Code

Company Code

0FC_OPBUK

SAP_ALL_DIVISION

Division

Division

0DIVISION

SAP_ALL_BUSINESSAREA Business Area

Business Area

0BUS_AREA

SAP_FI_CA_DUNNINGPRO Dunning Procedure CEDURE

Dunning Procedure

0CADUNN_PRC

SAP_ALL_CUSTOMERCOUN Customer Country TRY

Country

0COUNTRY

 Note
* Private dimension and other dimensions are public.

2.11.3.13 How to create Custom Query: 0FC_MP11_Q0001_Z01
Procedure
1. Open query 0FC_MP11_Q0001 with SAP BEx Query Designer. 2. Save it as 0FC_MP11_Q0001_Z01. 3. Navigate to the Rows/Columns tab.

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4. Columns:  Remove key figure [0FC_SUCCPERAMT] Success Percentage (Amount)  Remove key figure [0FC_SUCCPERNUM] Success Percentage (Number)  Drag/Drop key figure [0FC_SUCPC] Success Percentage in the Area
The resulting query definition is displayed in the screenshot below.

5. Save the Query.
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2.11.3.14 Contract Accounts Dunning Activity (SAP__FI_CA_IM_DUNACT)

Model Name: SAP__FI_CA_IM_DUNACT
 Model Description: SAP Finance: Contract Accounts Dunning Activity
 Planning Enabled: No

Account

ID

Description

Dunning_Balance

Dunning Balance

Number_of_Activities

Number of Activities

Dimensions

ID

Description

Time*

Time

SAP_ALL_COMPANYCODE Company Code

SAP_ALL_DIVISION

Division

SAP_ALL_BUSINESSAREA Business Area

SAP_FI_CA_DUNNINGPRO Dunning Procedure CEDURE

SAP_FI_CA_DUNNINGLEVEL Dunning Level

SAP_FI_CA_DUNNINGACTIV Dunning Activity ITY

SAP_ALL_CUSTOMERCOUN Customer Country TRY

Connection

 Connection type: Import Data Connection to an SAP BW System
 Connection Query: Custom Query 0FC_MP12_Q0001_Z01 (see next step)
 Connection Variables: Last 12 Months Including Current Month (Manual Entry to set a time range for analysis) (0CALMTH) For example, inputting 10.2017 will select the time range [11.2016 ­ 10-2017] for analysis.

Mapping/Formula Description Dunning Balance Number of Activities Mapping Description Calendar Year/Month Company Code Division Business Area Dunning Procedure

ID 0FC_MSALM 0FC_ACTNO
ID 0CALMONTH 0FC_OPBUK 0DIVISION 0BUS_AREA 0CADUNN_PRC

Dunning Level Dunning Activity

0FCDUNN_LEV 0FC_ACKEY

Country

0COUNTRY

 Note
* Private dimension and other dimensions are public.

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2.11.3.15 How to create Connection Query: Custom Query 0FC_MP12_Q0001_Z01
Procedure
1. Open query 0FC_MP12_Q0001 with SAP BEx Query Designer. 2. Save it as 0FC_MP12_Q0001_Z01. 3. Navigate to the Rows/Column Tab. 4. Rows:
Drag/Drop dimensions [0CADUNN_PRC] Dunning Procedure and [0FCDUNN_LEV] Dunning Level from InfoProvider 0FC_MP12 for a result as displayed in the screenshot below. 5. Rearrange the dimensions between Free Characteristics, Rows, and Columns areas for a result as displayed in the screenshot below.

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6. Save the query.

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2.12 Finance ­Financial Product Subledger For SAP S/ 4HANA- IFRS17
2.12.1 Architecture and Abstract
The S/4HANA for FPSL IFRS17 comprises a SAP Analytics Cloud Story for subledger reporting based on the specifications of IFRS17. In detail, the following pages are provided in the SAP Analytics Cloud story:
 Overview Page with KPI Tiles, enabled for exploration and Charts  Date Intake Analysis with the possibility to further explore data in the Cashflows table widget  Analysis of Change  Profit and Loss for GMM (General Measurement Model)  Profit and Loss for PAA (Premium Allocation Approach)  Subledger Postings with a detailed Overview of the posting documents
The above-mentioned SAP Analytics Cloud Story requires the availability of S/4HANA for financial products subledger FP01 (or higher) based on S/4HANA 1809. The SAP Analytics Cloud Story requires a live data connection to the S/4HANA FPSL HDB system.
 Note
The HANA calculation view package z_fpsl which is required for this business content package is not part of the standard delivery of SAP Financial Products Subledger package. The package is only available as part of a deployment of the preconfigured SAP Financial Products Subledger system available in the SAP Cloud Appliance Library (CAL). The CAL image is mainly targeted for PoCs and demonstration purposes. As the HANA Calculation Views depend on both configuration and data in the preconfigured SAP Financial Products Subledger system it will only work when the CAL image is deployed.

Architecture *The colored objects are documented in this chapter
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2.12.2 Overview
Overview
Here, the most important IFRS17 key figures are given at a glance.

Data Intake
Supports the user to verify the data imported from the upstream systems. The sample report focuses on the actuarial input, summarizing upload information on Group of Contract, Best Estimate Cashflows and the earning patterns. BECF data is aggregated, providing checksums on number of items and total amount. Further BECF details up to the line items can be accessed in the Explore Mode.

Analysis of Change
Shows the roll-forward of IFRS17 balance sheet positions throughout a year for selected group of contract and time period. The AoC is split up in three blocks, separating the present value of future cash flows, the risk adjustment and the CSM.

Profit and Loss (GMM)
Shows the P&L impact for groups of contracts measured under GMM and VFA. P&L positions are aggregated in line with the effects shown in the AoC.

Profit and Loss (PAA)
Represents a combined view on balance positions and P&L for business measured under PAA: Balance positions and their roll-forward in the selected period is shown on the left. On the right, the corresponding P&L effects are presented.

Subledger Postings
Details on all subledger postings on a line item view, allowing free data analysis on the raw data.

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2.12.3 Models
2.12.3.1 Model for Analysis of Change IFRS17 (SAP__FS_FPS_ANALYSISOFCHANGE)

Model Name: SAP__FS_FPS_ANALYSISOFCHANGE

Connection

 Model Description: S/4HANA FPSL - Model for Analysis of Change IFRS17
 Planning Enabled: No  Model Purpose: This model measures the dimensions
to analyse changes in Insurance Liabilities

 Connection type: Direct Live connection to HDB: SAPFPSLHDB
 Connection Query: Z_ANALYSISOFCHANGE_QUERY  Mandatory Variables: Legal Entity, Period Start Date, Pe
riod End Date

Dimensions Name [ACT_CONTRACT] [ACT_PF] [CHANGE_REASON_GROUP] [CHANGE_REASON_TXT] [CHILDTEXT_UOA] [CLIENT] [CONTCT_TEXT] [CalculationLevel] [GL_ACC_TXT] [Measures] [ONRST_TEXT] [ONSTIR_TEXT] [PAY_CAT_TXT] [PF_CONTRACT] [PROC_STEPID_TXT] [ProcessStepGroup] [SLALC_TEXT] [SubLedgerAccountText] [SubledgerAccountGroupText] [SubledgerAccountGroup] [UNIT_ACC] [YEAR] [Z_GLACCOUNT]

Description Actuarial Contract Actuarial Portfolio Change Reason Group Change Reason Description Text for Child Unit of Account SAPClient Contract Category Text Calculationlevel GL Account Text Measures Onerousness Status IR Text Onerous Status Text Cost or Revenue Element Text Portfolio Contract Process Step ID Text Process Step Group SubLedger LifeCycleStatus Text SubLedgerAccountText SubledgerAccountGroupText SubledgerAccountGroup Calculation Level Year GL Account

Mapping

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Dimensions [Z_Month] [Z_PostingDate] [Z_Quarter] [_BA1_BIL_CURR] [_BA1_C41FINST] [_BA1_C55ACCSY] [_BA1_C55CHGRSN] [_BA1_C55CMETHY] [_BA1_C55CMETH] [_BA1_C55CONTCT] [_BA1_C55DBCDF] [_BA1_C55DOCITM] [_BA1_C55DOCNUM] [_BA1_C55HOLDCT] [_BA1_C55LGENT] [_BA1_C55ONRST] [_BA1_C55PFID] [_BA1_C55PROCID] [_BA1_C55SLACC] [_BA1_C55SLALC] [_BA1_C55_ONSTIR]
[_BA1_CIDPSEID] [_BA1_CRCBECFVN] [_BA1_CRCPAYCAT] [_BA1_OBJ_CURR]
Measures Z_CSM_AMORT Z_CSM_AMORT_TCUR Z_CSM_CONTR_IN_REC Z_CSM_CONTR_IN_REC_TCUR
Z_CSM_IMP_CHG_BE_NON_FIN

Month Posting Date Quarter Functional currency Financial Instrument AccountingSystem Change Reason Methodology Calculation Method Contract Category Debit/Credit Flag Document Item Document Number Classification Legal Entity Onerous Status CSM Group Process Step ID SubLedgerAccount SubLedger LifeCycleStatus Onerousness Status on Initial Recogni tion Coverage ID Version Number Cost or Revenue Element Transaction Currency
Amortization (CSM) Amortization (CSM,TCur) Contract Initially Recognized (CSM) Contract Initially Recognized (CSM,TCur) Impact Due to Changes in BE Non-Fi nancial Assumptions (CSM)

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Measures

Z_CSM_IMP_CHG_BE_NON_FIN_TCUR Impact Due to Changes in BE Non-Fi nancial Assumptions (CSM,TCur)

Z_CSM_IMP_VAR

Impact Due To Experience Variance (CSM)

Z_CSM_IMP_VAR_TCUR

Impact Due To Experience Variance (CSM,TCur)

Z_CSM_NET_CLOSE_BAL

Net Closing Balance (CSM)

Z_CSM_NET_CLOSE_BAL_TCUR

Net Closing Balance (CSM,TCur)

Z_CSM_NET_OPEN_BAL

Net Opening Balance (CSM)

Z_CSM_NET_OPEN_BAL_TCUR

Net Opening Balance (CSM, TCur)

Z_CSM_UNWIND_VAR_FEE_LOCKED Unwind/Variable Fee (locked-in) (CSM)

Z_CSM_UN WIND_VAR_FEE_LOCKED_TCUR

Unwind/Variable Fee (locked-in) (CSM,TCur)

Z_CSM_VAR_FEE_CURRENT

Variable Fee (current) (CSM)

Z_CSM_VAR_FEE_CURRENT_TCUR

Variable Fee (current) (CSM,Tcur)

Z_LIC_CLAIMS_SERV_EXP_PAID

Claims Paid (LIC)

Z_LIC_CLAIMS_SERV_EXP_PAID_TCU Claims Paid (LIC,TCur) R

Z_LIC_IMP_CHG_BE_NON_FIN

Impact Due to Changes in BE Non-Fi nancial Assumptions (LIC)

Z_LIC_IMP_CHG_BE_NON_FIN_TCUR Impact Due to Changes in BE Non-Fi nancial Assumptions (LIC,TCur)

Z_LIC_IMP_CHG_DM_RATE

Impact Due to Changes in Discount/ Market Rate (LIC)

Z_LIC_IMP_CHG_DM_RATE_TCUR

Impact Due to Changes in Discount/ Market Rate (LIC,TCur)

Z_LIC_IMP_VAR

Impact Due To Experience Variance (LIC)

Z_LIC_IMP_VAR_TCUR

Impact Due To Experience Variance (LIC,TCur)

Z_LIC_NET_CLOSE_BAL

Net Closing Balance (LIC)

Z_LIC_NET_CLOSE_BAL_TCUR

Net Closing Balance (LIC,TCur)

Z_LIC_NET_OPEN_BAL

Net Opening Balance (LIC)

Z_LIC_NET_OPEN_BAL_TCUR

Net Opening Balance (LIC,TCur)

Z_LIC_REL_LRC

Release from LRC (LIC)

Z_LIC_REL_LRC_TCUR

Release from LRC (LIC,TCur)

Z_LIC_UNWIND

Unwind (LIC)

Z_LIC_UNWIND_TCUR

Unwind (LIC,TCur)

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Measures

Z_PVFCF_CLAIMS_SERV_EXP_PAID

Claims and Other Insurance Service Ex penses Paid (PVFCF)

Z_PVFCF_CLAIMS_SERV_EXP_PAID_T Claims and Other Insurance Service Ex

CUR

penses Paid (PVFCF,TCur)

Z_PVFCF_CONTR_IN_REC

Contract Initially Recognized (PVFCF)

Z_PVFCF_CONTR_IN_REC_TCUR

Contract Initially Recognized (PVFCF,TCur)

Z_PVFCF_EXP_PREM_REC

Expected Premiums Received (PVFCF)

Z_PVFCF_EXP_PREM_REC_TCUR

Expected Premiums Received (PVFCF,TCur)

Z_PVFCF_IMP_CHG_BE_NON_FIN

Impact Due to Changes in BE Non-Fi nancial Assumptions (PVFCF)

Z_PVFCF_IMP_CHG_BE_NON_FIN_TC Impact Due to Changes in BE Non-Fi

UR

nancial Assumptions (PVFCF,TCur)

Z_PVFCF_IMP_CHG_DM_RATE

Impact Due to Changes in Discount/ Market Rate (PVFCF)

Z_PVFCF_IMP_CHG_DM_RATE_TCUR Impact Due to Changes in Discount/ Market Rate (PVFCF,TCur)

Z_PVFCF_IMP_VAR

Impact Due To Experience Variance (PVFCF)

Z_PVFCF_IMP_VAR_TCUR

Impact Due To Experience Variance (PVFCF,TCur)

Z_PVFCF_NET_CLOSE_BAL

Net Closing Balance (PVFCF)

Z_PVFCF_NET_CLOSE_BAL_TCUR

Net Closing Balance (PVFCF,TCur)

Z_PVFCF_NET_OPEN_BAL

Net Opening Balance (PVFCF)

Z_PVFCF_NET_OPEN_BAL_TCUR

Net Opening Balance (PVFCF, TCur)

Z_PVFCF_UNWIND

Unwind (PVFCF)

Z_PVFCF_UNWIND_TCUR

Unwind (PVFCF,TCur)

Z_RA_CHG_RISK_EXP

Changes in RA for Risk Expired (RA)

Z_RA_CHG_RISK_EXP_TCUR

Changes in RA for Risk Expired (RA,TCur)

Z_RA_CONTR_IN_REC

Contract Initially Recognized (RA)

Z_RA_CONTR_IN_REC_TCUR

Contract Initially Recognized (RA,TCur)

Z_RA_IMP_CHG_BE_NON_FIN

Impact Due to Changes in BE Non-Fi nancial Assumptions (RA)

Z_RA_IMP_CHG_BE_NON_FIN_TCUR

Impact Due to Changes in BE Non-Fi nancial Assumptions (RA,TCur)

Z_RA_IMP_CHG_DM_RATE

Impact Due to Changes in Discount/ Market Rate (RA)

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Measures Z_RA_IMP_CHG_DM_RATE_TCUR
Z_RA_IMP_VAR
Z_RA_IMP_VAR_TCUR
Z_RA_NET_CLOSE_BAL Z_RA_NET_CLOSE_BAL_TCUR Z_RA_NET_OPEN_BAL Z_RA_NET_OPEN_BAL_TCUR Z_RA_UNWIND Z_RA_UNWIND_TCUR

Impact Due to Changes in Discount/ Market Rate (RA,TCUR)
Impact Due To Experience Variance (RA)
Impact Due To Experience Variance (RA,TCur)
Net Closing Balance (RA)
Net Closing Balance (RA,TCur)
Net Opening Balance (RA)
Net Opening Balance (RA,TCur)
Unwind (RA)
Unwind (RA.TCur)

2.12.3.2 Model for CashFlows IFRS17 (SAP__FS_FPS_CASHFLOW)

Model Name: SAP__FS_FPS_CASHFLOW

Connection

 Model Description: S/4HANA FPSL - Model for Cash Flows IFRS17
 Planning Enabled: No  Model Purpose: This model measures and dimension to
analyse changes in Insurance Liabilities

 Connection type: Direct Live connection to HDB: SAPFPSLHDB
 Connection Query: Z_CASHFLOW_QUERY  Mandatory Variables: sLegal Entity, Period Start Date,
and Period End Date

Dimensions Name [CF_VERSION] [CHILDTEXT_UOA] [CLIENT] [DDTEXT] [DESCRIPTION] [Measures] [TXTMI] [Time] [UoA] [VALID_TO_TS]

Description Version Number Text for Child Unit of Account SAPClient Contract category Text Cost or Revenue Element Text Measures Change Driver CF Description Time Uoa VALID_TO_TS

Mapping

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Dimensions [Z_KeyDate_CF] [Z_LAST_UPDATE] [_BA1_C55ACCSY] [_BA1_C55CONTCT] [_BA1_C55CONTCT_1] [_BA1_C55CONTID] [_BA1_C55LGENT] [_BA1_C55PFID] [_BA1_CIDPSEID] [_BA1_CR0KEYDAT] [_BA1_CR0SRCSYS] [_BA1_CR0TCGUID] [_BA1_CRCCFCATG] [_BA1_CRCCHDCF] [_BA1_CRCDUEDAT] [_BA1_CRCINCDAT] [_BA1_CRCISDAT] [_BA1_CRCPAYCAT] [_BA1_CRCREPDAT] [_BA1_CRCSETDAT] [_BA1_KRCCFAMDC] [_BA1_KRCCFAMEC]
Measures _BA1_KRCCFAMD _BA1_KRCCFAME

Key Date (CF) Last Update Accounting System ContractCategory Contract Category1 Calculation Level LegalEntity CSM Group Coverage Key Date Source System Guid Contract Category Change Driver Due Date Incurred Date Issue Date Cost or Reveneue Element Reported Date Settled Date Coverage Amount Currency Expected Amount Currency
Coverage Amount Expected Amount

Coverage Amount

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2.12.3.3 Model for DataIntake IFRS17 (SAP__FS_FPS_DATAINTAKE)

Model Name: SAP__FS_FPS_CASHFLOW

Connection

 Model Description: S/4HANA FPSL - Model for Cash Flows IFRS17
 Planning Enabled: No  Model Purpose: This model measures and dimension to
analyse changes in Insurance Liabilities

 Connection type: Direct Live connection to HDB: SAPFPSLHDB
 Connection Query: Z_CASHFLOW_QUERY  Mandatory Variables: Legal Entity, Period Start Date,
and Period End Date

Dimensions Name [CF_VERSION] [CHILDTEXT_UOA] [CLIENT] [DDTEXT] [DESCRIPTION] [Measures] [TXTMI] [Time] [UoA] [VALID_TO_TS] [Z_KeyDate_CF] [Z_LAST_UPDATE] [_BA1_C55ACCSY] [_BA1_C55CONTCT] [_BA1_C55CONTCT_1] [_BA1_C55CONTID] [_BA1_C55LGENT] [_BA1_C55PFID] [_BA1_CIDPSEID] [_BA1_CR0KEYDAT] [_BA1_CR0SRCSYS] [_BA1_CR0TCGUID] [_BA1_CRCCFCATG] [_BA1_CRCCHDCF] [_BA1_CRCDUEDAT]

Description Version Number Text for Child Unit of Account SAPClient Contract category Text Cost or Revenue Element Text Measures Change Driver CF Description Time Uoa VALID_TO_TS Key Date (CF) Last Update Accounting System ContractCategory Contract Category1 Calculation Level LegalEntity CSM Group Coverage Key Date Source System Guid Contract Category Change Driver Due Date

Mapping

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Dimensions [_BA1_CRCINCDAT] [_BA1_CRCISDAT] [_BA1_CRCPAYCAT] [_BA1_CRCREPDAT] [_BA1_CRCSETDAT] [_BA1_KRCCFAMDC] [_BA1_KRCCFAMEC]
Measures _BA1_KRCCFAMD _BA1_KRCCFAME

Incurred Date Issue Date Cost or Reveneue Element Reported Date Settled Date Coverage Amount Currency Expected Amount Currency
Coverage Amount Expected Amount

2.12.3.4 Model for Profit & Loss GMM IFRS17 (SAP__FS_FPS_PROFITANDLOSSGMM)

Model Name: SAP__FS_FPS_PROFITANDLOSSGMM

Connection

 Model Description: S/4 HANA FPSL - Model for Profit&Loss GMM IFRS17
 Planning Enabled: No  Model Purpose: This model measures and dimension to
analyse changes in Insurance Liabilities

 Connection type: Direct Live connection to HDB: SAPFPSLHDB
 Connection Query: Z_PROFITANDLOSS_QUERY  Mandatory Variables: Legal Entity, Period Start Date,
and Period End Date

Dimensions Name [CF_VERSION] [CONCTTEXT_CF] [CONCTTEXT_EPS] [CONTCT_CF] [CONTCT_EPS] [CSMGROUP_CF] [CSMGROUP_CSM] [CSMGROUP_EPS] [HOLDCAT_ID] [HOLDCT_TEXT] [MAX_KEYDATE_AC]

Description Version Number (CF) Contract Category Text (CF) Contract Category Text (EPS) Contract Category (CF) Contract Category (EPS) CSM Group (CF) CSM Group (CSM) CSM Group (EPS) Holding Category Holding Category Text Last Update Actuarial Contract

Mapping

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Dimensions [MAX_KEYDATE_AP] [Measures] [ONSTIR_TEXT] [PAYCAT_CF] [PAYCAT_EPS] [PAYCAT_TEXT_CF] [PAYCAT_TEXT_EPS] [TXTMI] [UNITACCOUNT_EPS] [Z_DUEDATE_CF] [Z_INCDATE_CF] [Z_KeyDate_CF] [Z_KeyDate_CSM] [Z_KeyDate_EPS] [Z_LAST_UPDATE] [Z_REPDATE_CF] [Z_SETDATE_CF] [_BA1_C55CONTID] [_BA1_C55LGENT] [_BA1_C55ONSTIR]
[_BA1_CIDPSEID] [_BA1_CRCBECFVN] [_BA1_CRCCHDCF] [_BA1_CRCDUEDAT] [_BA1_CRCINCDAT] [_BA1_CRCREPDAT] [_BA1_CRCSETDAT] [_BA1_KRCCFAMDC]
Measures Z_AMBAL_BEF_END Z_AMBAL_BEF_START Z_AMBAL_PER_SEL Z_AMOBJ_BEF_END
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Last Update Actuarial Portfolio Measures Onerousness Status IR Text Cost or Revenue Element Cost or Revenue Element (EPS) Cost or Revenue Element Text Cost or Revenue Element Text (EPS) Change Driver Text (CF) Calculation Level (EPS) Due Date (CF) Incurred Date (CF) Key Date (CF) Keydate CSM Group Key Date (EPS) Last Update Reported Date (CF) Settled Date (CF) Calculation Level (CF) Legal Entity Onerousness Status on Initial Recogni tion Coverage Version Number (EPS) Change Driver (CF) Due Date Incurred Date Reported Date Settled Date CF Currency
Amount To End Date (FCur) Amount Previous Period (FCur) Amount Period (FCur) Amount To End Date (TCur)

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Z_AMOBJ_BEF_START Z_AMOBJ_PER_SEL Z_AMORT_CSM Z_AQUISITION_COST_AMORT Z_EXP_ADJ_SERVICES
Z_EXP_BEN_EXP Z_INC_CLAIMS_SERV ICE_EXP_CLAIMS Z_INS_CONTR_REVENUE Z_INS_FIN_EXP Z_INS_INVEST_INC Z_INS_SERV_EXP_TOTAL Z_INS_SERV_RESULT Z_NET_FIN_RESULT Z_OTHER_COMPR_INC Z_PROFIT_LOSS Z_REL_AQUIS_COST Z_REL_OF_RISK_ADJ Z_TOTAL_COMPR_INCOME _BA1_K5SAMBAL _BA1_K5SAMOBJ

Amount Previous Period (TCur) Amount Period (Tcur) Amortization of CSM Amortization of acquisition costs Experience Adjustment for Current/ Past Services Expected Benefits and Expenses Incurred claims and other service ex penses Insurance Contract revenue Insurance Finance Expenses Insurance Investment Income Insurance Service Expenses Insurance Services Result Net Financial Result Other Comprehensive Income Profit and Loss Release of Aquisition Costs Release of Risk Adjustment Total Comprehensive Income Amount (FCur) Amount (TCur)

2.12.3.5 Model for Profit & Loss PAA IFRS17 (SAP__FS_FPS_PROFITANDLOSSPAA)

Model Name: SAP__FS_FPS_PROFITANDLOSSPAA
 Model Description: S/4 HANA FPSL - Model for Profit&Loss PAA IFRS17
 Planning Enabled: No  Model Purpose: This model measures dimensions to
analyse changes in Insurance Liabilities

Connection
 Connection type: Direct Live connection to HDB: SAPFPSLHDB
 Connection Query: Z_PROFITANDLOSS_PAA_QUERY  Mandatory Variables: Legal Entity, Period Start Date,
and Period End Date

Dimensions Name [ACCRST_TEXT]

Description Accrual Status Text

Mapping

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Dimensions [ACT_CONTRACT] [ACT_PF] [ALST_TEXT] [CALWEEK] [CHANGE_REASON_GROUP] [CHANGE_REASON_TXT] [CHILDTEXT_UOA] [CLIENT] [CONTCT_TEXT] [CalculationLevel] [DATE] [GL_ACC_TXT] [LTEXT] [MONTH] [Measures] [ONRST_TEXT] [ONSTIR_TEXT] [PAY_CAT_TXT] [PF_CONTRACT] [PROC_STEPID_TXT] [ProcessStepGroup] [QUARTERDESC] [SLALC_TEXT] [STEXT] [SubLedgerAccountText] [SubledgerAccountGroupText] [SubledgerAccountGroup] [UNIT_ACC] [YEAR_1] [Z_GLACCOUNT] [Z_PostingDate] [_BA1_BIL_CURR] [_BA1_C41FINST] [_BA1_C55ACCSY]

Actuarial Contract Actuarial Portfolio Asset/Liability Status Text Calendar Week Change Reason Group Change Reason Description Text for Child Unit of Account SAPClient Contract Category Text Calculationlevel Date GL Account Text Profit Center Text Month Measures Onerousness Status IR Text Onerous Status Text Cost or Revenue Element Text Portfolio Contract Process Step ID Text Process Step Group Quarter SubLedger LifeCycleStatus Text Organizational Unit Text SubLedgerAccountText SubledgerAccountGroupText SubledgerAccountGroup Calculation Level Year GL Account Posting Date Functional Currency Financial Instrument AccountingSystem

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Dimensions [_BA1_C55ALST] [_BA1_C55CHGRSN] [_BA1_C55CMETHY] [_BA1_C55CMETH] [_BA1_C55CONTCT] [_BA1_C55DBCDF] [_BA1_C55DOCITM] [_BA1_C55DOCNUM] [_BA1_C55HOLDCT] [_BA1_C55LGENT] [_BA1_C55ONRST] [_BA1_C55PFID] [_BA1_C55PROCID] [_BA1_C55PRODSG] [_BA1_C55SLACC] [_BA1_C55SLALC] [_BA1_C55YPER] [_BA1_C55_ONSTIR]
[_BA1_C58ACCRST] [_BA1_C58IMPSTA] [_BA1_C58WDST] [_BA1_C80ORGUNI] [_BA1_CIDPSEID] [_BA1_CP0PRFCTR] [_BA1_CRCBECFVN] [_BA1_CRCPAYCAT] [_BA1_OBJ_CURR]
Measures Z_AQUI_COSTS_NOT_YET Z_EQUITY Z_LIC_CLAIMS_PAID Z_LIC_CLOSE_BAL Z_LIC_IMP_CHG_BE_NON_FIN

Asset/Liability Status Change Reason Methodology Calculation Method Contract Category Debit/Credit Flag Document Item Document Number Classification Legal Entity Onerous Status CSM Group Process Step ID Product Segment SubLedgerAccount SubLedger LifeCycleStatus Financial Period Onerousness Status on Initial Recogni tion Accrual Status Impairment Status Write-down Status Organizational Unit Coverage ID Profit Center Version Number Cost or Revenue Element Transaction Currency
Aquisition Costs not yet Paid Cumulated P&L Effect to Equity Claims Paid (LIC) Closing Balance (LIC) Impact Due to Changes in BE Non-Fi nancial Assumptions (LIC)

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Measures Z_LIC_IMP_CHG_DM_RATE
Z_LIC_IMP_EXP_VAR
Z_LIC_OPEN_BAL Z_LIC_REL_LRC Z_LIC_UNWIND Z_LRC Z_PL_AMORT_AQUI_COSTS_neg Z_PL_CHG_RISK_ADJ_INC_CLAIMS
Z_PL_FIN_EXP_INC Z_PL_INCUR_CLAIMS Z_PL_INS_CONTR_REV Z_PL_INS_SERVICES_EXP Z_PL_INVEST_INCOME Z_PL_NET_FIN_RESULT Z_PL_OTHER_COMPR_INCOME Z_PL_SERVICES_RESULT Z_PL_TOTAL_INCOME Z_PREMIUMS_NOT_YET Z_RA_CHG_RISK_ADJ_LIC Z_RA_CLOSE_BAL_LIC Z_RA_OPEN_BAL_LIC Z_RA_UNWIND_LIC Z_ULTIMATE_CLAIMS_EXPEC Z_UPR

Impact Due to Changes in Discount/ Market Rate (LIC) Impact due to Experience Variance (LIC) Opening Balance (LIC) Release from LRC (LIC) Unwind (LIC) Liability for Remaining Coverage Amortization of Aquisition Costs Change in Risk Adjustment for incurred Claims Insurance Finance Expense or Income Incurred Claims Insurance Contract Revenue Insurance Services Expenses Investment Income Net Financial Result Other Comprehensive Income Insurance Services Result Total Comprehensive Income Premiums not yet Paid Change in Risk Adjustment (LIC) Risk Adjustment Closing Balance (LIC) Risk Adjustment Opening Balance (LIC) Risk Adjustment Unwind (LIC) Ultimate claims expectation (EoP) Unearned Premium Reserve

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2.12.3.6 Model for SubLedger Postings IFRS17 (SAP__FS_FPS_SUBLEGERPOSTINGS)

Model Name: SAP__FS_FPS_SUBLEDGERPOSTINGS

Connection

 Model Description: S/4 HANA FPSL - Model for Sub LedgerPostings IFRS17
 Planning Enabled: no  Model Purpose: This model measures and dimension to
analyse changes in Insurance Liabilities

 Connection type: Direct Live connection to HDB: SAPFPSLHDB
 Connection Query: Z_SUBLEDGER_POSTINGS_QUERY  mandatory Variables: Legal Entity, Period Start Date,
Period End Date

Dimensions Name [ACCRST_TEXT] [ACT_CONTRACT] [ACT_PF] [ALST_TEXT] [CHANGE_REASON_TXT] [CHILDTEXT_UOA] [CHNGR_GROUP] [CLIENT] [CONTCT_TEXT] [GL_ACCOUNT] [GL_ACC_TXT] [LTEXT] [Measures] [ONRST_TEXT] [ONSTIR_TEXT] [PAY_CAT_TXT] [PAY_CAT_TXT] [PF_CONTRACT] [PROC_STEPID_TXT] [ProcessStepGroup] [SLACC_GROUP] [SLALC_TEXT] [STEXT] [SubLedgerAccountText] [SubledgerAccountGroupText]

Description Accrual Status Text Actuarial Contract Actuarial Portfolio Asset/Liability Status Text Change Reason Description Text for Child Unit of Account Chngr Group SAPClient Contract Category Text GL Account GL Account Text Profit Center Text Measures Onerousness Status IR Text Onerous Status Text Cost or Revenue Element Text Payment Category Text Portfolio Contract Process Step ID Text Process Step Group Slacc Group SubLedger LifeCycleStatus Text Organizational Unit Text SubLedgerAccountText SubledgerAccountGroupText

Mapping

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Dimensions [Time] [UNIT_ACC] [UNIT_ACC] [UoA] [XBILK] [Z_GLACCOUNT] [Z_PostingDate] [_BA1_BIL_CURR] [_BA1_C41FINST] [_BA1_C55ACCSY] [_BA1_C55ACCSY] [_BA1_C55ALST] [_BA1_C55CMETHY] [_BA1_C55CMETH] [_BA1_C55CONTCT] [_BA1_C55DBCDF] [_BA1_C55DOCITM] [_BA1_C55DOCNUM] [_BA1_C55HOLDCT] [_BA1_C55LGENT] [_BA1_C55ONRST] [_BA1_C55PFID] [_BA1_C55POSTD] [_BA1_C55PROCID] [_BA1_C55PRODSG] [_BA1_C55SLALC] [_BA1_C55YEAR] [_BA1_C55YPER] [_BA1_C55YPER] [_BA1_C55_ONSTIR]
[_BA1_C58ACCRST] [_BA1_C58IMPSTA] [_BA1_C58WDST] [_BA1_C80ORGUNI]
Content Package User Guide Line of Business

Time Calculation Level Unit of Account Uoa XBILK GL Account Posting Date Functional Currency Financial Instrument Accounting System AccountingSystem Asset/Liability Status Methodology Calculation Method Contract Category Debit/Credit Flag Document Item Document Number Classification Legal Entity Onerous Status CSM Group DateSAP Process Step ID Product Segment SubLedger LifeCycleStatus Fiscal Year Financial Period Fiscal Year Period Onerousness Status on Initial Recogni tion Accrual Status Impairment Status Write-down Status Organizational Unit

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Dimensions [_BA1_C80ORGUNI] [_BA1_CIDPSEID] [_BA1_CP0PARTPC] [_BA1_CP0PRFCTR] [_BA1_CP0PRFCTR] [_BA1_CRCBECFVN] [_BA1_CRCPAYCAT] [_BA1_CRCPAYCAT] [_BA1_OBJ_CURR]
Measures Z_AMBAL_BEF_END Z_AMBAL_BEF_START Z_AMBAL_PER_SEL Z_AMOBJ_BEF_END Z_AMOBJ_BEF_START Z_AMOBJ_PER_SEL _BA1_K5SAMBAL _BA1_K5SAMOBJ

_BA1_C80ORGUNI Coverage ID Profit Center Profit Center _BA1_CP0PRFCTR Version Number Cost or Revenue Element Payment Category Transaction Currency
Amount To End Date (FCur) Amount Previous Period (FCur) Amount Period (FCur) Amount To End Date (TCur) Amount Previous Period (TCur) Amount Period (Tcur) Amount (FCur) Amount (TCur)

2.13 Finance for SAP S/4HANA Cloud
2.13.1 Architecture and Abstract
The purpose of the Financial KPI Dashboard, is to focus only on the financial views and KPIs. The dashboard offers basic finance reports, such as a general Corporate Overview, Profit& Loss and a Balance Sheet. In addition, the dashboard offers further financial KPIs. The data source is a Data Warehouse Cloud Model based on SAP S/4 HANA Cloud.

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2.13.2 Stories 2.13.2.1 Corporate Overview

The Corporate Overview page provides business users a financial overview with an analysis view of the most important financial metrics, such as Operating Profit, Total Revenue with filters on Company Code and on Profit Center including delta comparison year over year and actual to plan.
The Corporate Overview page is composed of following KPIs:
 Total Revenue  Operating Profit  Gross Profit  Operating Margin %  Earnings Before Interest, Taxes, Depreciation, Amortization (EBITDA)  Return on Equity in % (ROE)  Debt to Equity in %  Working Capital  Shareholder's Equity  Operating Cash Flow
The following table show the relevant basic measure calculation used in the story. Further calculations exist, which typically filter on version (ActualPlanCode) and time (YearType).

Measure Name Cost of Goods Sold (COGS)

Type

Debt To Asset % Debt to Equity %
Net Revenue Operating Income
Operating Margin %

Formula / Properties
- Measure COGS and Time Dimension Year Type - Compare COGS Current Year Actuals to COGS Last Year Actuals - Compare COGS Current Year Actuals to COGS Current Year Plan - Set No Data as Zero [Yes] - Calculate as Percentage [No]
Current Liabilities / Current Assets
Current Liabilities / Shareholders Equity
Gross Revenue - COGS
Operating Profit - Amortization of Intan gible Asset
Operating Profit ­ Recognized Revenue

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Measure Name ROA in % ROE in % ROE in %

Type

Formula / Properties Net Income ­ Assets Net Income ­ Shareholders Equity Current Assets ­ Current Liabilities

2.13.2.2 Profit and Loss
The Profit & Loss page provides an overview of additional key performance indicators (KPI) related to the income statement and balance sheet.
Find information on most relevant KPIs and their performance over time.
The page is divided into two areas. The upper part shows KPIs related to the financial statement with input controls of Company Code, Cost Center and Profit Center. The part below shows basic Profit & Loss KPIs over time.
The Profit & Loss page is composed of following KPIs:
 COGS  Operating Margin %  Employee Expense  Gross Margin  Income Tax  Interest  Net Income  Total Operating Expense  Operating Income  Net Revenue  Gross Margin %

2.13.2.3 Balance Sheet

The Balance Sheet focus on Assets and Liabilities as well as Shareholders' Equity. The KPIs show the current financial state.
 Balance Sheet KPIs:  Return on Asset %  Asset Turnover %  Debt to Asset %  Accounts Payables Changes  Accounts Receivables Changes

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 Current Asset  Current Liability  Shareholders' Equity
2.13.3 Models
The story is using the following Data Warehouse Cloud model. It's based on a live connection to the SAP Data Warehouse Cloud system. Setup the connection with the name SAPDWC. Model Name: Financial Data of the Last Three Years (FI) Technical Name: SAP_FI_GLDataOverTime Please navigate to the SAP Data Warehouse Cloud documentation for more details.
2.14 Finance: Operational Expense (OPEX) Planning and Analysis
2.14.1 Architecture and Abstract
Integration between S4HC and SAC is set up for integrated scenario where SAP Analytics cloud leverage the model and data from S4HC.
Usage in SAP Analytics Cloud To best leverage the model and data from S4HC in SAP Analytics Cloud, any modification or addition to the model master data should be change in S4HC (source system) to avoid master data override when the model is refreshed from S4HC.

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2.14.2 FP&A - GL Financial Planning 2.14.2.1 SAP__FI_ANA_IM_GLFP

Model Name: SAP__FI_ANA_IM_GLFP

Model Description: Financial Planning & Analysis - General Ledger Financial Planning

Planning Enabled: Yes

SAP_FI_S4HC_GLACCOUNT ­ G/L Account

ID

Description

Formula

KPI0010

Revenue

[FPA1/022]

KPI0015

Net Revenue

[FPA1/021]

KPI0020

COGS

[FPA1/020]

KPI0022

Personnel

[FPA1/033]

KPI0024

Depreciation

[FPA1/025]

KPI0026

Other Operating Expense

[FPA1/018]

KPI0030

Operating Income

[FPA1/016]

KPI0040

Net Income

[FPA1/08]

KPI0070

Interest Expense

[FPA1/013]

KPI0090

Shares Outstanding

[SHARES]

KPI0100

Gross Margin

[FPA1/017]

KPI0110

Gross Margin %

[KPI0100]/[KPI0015]

KPI0120

Return on Sales %

[KPI0040]/[KPI0010]

KPI0140

Earnings per Share

[KPI0040]/[KPI0090]

KPI0170

Operating Margin %

[KPI0030]/[KPI0010]

KPI0180

EBIT

[FPA1/09]

KPI0181

EBITDA

[KPI0180]+[FPA1/025]

KPI0183

EBIT %

[KPI0180]/[KPI0010]

KPI0185

EBITDA %

[KPI0181]/[KPI0010]

KPI0190

Operating Expense

[KPI0020]+[KPI0022]+[KPI0024]+[KPI0026]

KPI0210

Market Share %

[COMPANY_MARKET]/[TOTAL_MARKET]

Dimensions

Dimension Name

Dimension Description

Dimension type

Public/Private Dimension

Time & Categories

Time & Categories

Time (lowest granularity = month)

Private

Version

Version

Version (Actual, Plan)

Private

G/L Account

G/L Account

Public

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Model Name: SAP__FI_ANA_IM_GLFP

Company Code

Company Code

Cost Center

Cost Center

Functional Area

Functional Area

Profit Center

Profit Center

Audit Trail

Audit trail for data source

Additional Notes about the model

Public Public Public Public Private

Model is provided as part of the standard prebuilt content delivered in the S4HC Best Practice Solution Package Real Time Finance & Planning
Best practice methodologies to integrate real-time S/4HANA Cloud with SAP Analytics for Cloud. The content leverages P&L CDS-Views based on S/4HANA Cloud Finance data (Actual from ACDOCA and Plan from ACDOCP). In the planning scenario, Actuals are acquired (ACDOCA) from S/4HANA Cloud and Plan data retracted from SAP Analytics Cloud back into S/4HANA Cloud (ACDOCP).
Data Source Connection and Integration

Connection type: Import Data Connection to OData Services
Link to data source documentation in S/4HANA Cloud Best Practice Solution Package Real Time Finance & Planning: https://rapid.sap.com/bp/scopeitems/2EB

2.15 Financial Planning & Analysis for SAP S/4HANA Cloud (SAP BEST PRACTICES)
2.15.1 Financial Planning & Analysis for SAP S/4HANA Cloud (SAP BEST PRACTICES)
SAP Best Practices: Suite for Financial Planning & Analysis for SAP S/4HANA Cloud is made up of the following components. Follow the links for further information.
 Financial Planning for S/4HANA Cloud  P&L (Cost Center, Profit Center) planning based on S/4HANA Cloud  Share a financial model with analytics users
 Financial Analysis for S/4HANA Cloud  Merge data from multiple financial sources into SAP Analytics Cloud  Leverage SAP Analytics Cloud-based Plan data into analytics  Share a financial model with planning users
 Workforce Planning for SAP S/4HANA Cloud (SAP Best Practices)  Combine data from SuccessFactors and SAP S/4HANA Cloud for workforce planning and analysis
 Sales Planning For SAP S/4HANA Cloud (SAP Best Practice)  Offers gross margin planning and analysis in SAP Analytics Cloud based on SAP S/4HANA Cloud financial structures

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You can import all this content from the SAP Analytics Cloud: Business Content library, under:  Financial Planning & Analysis for S/4HANA Cloud (SAP Best Practices)  Workforce Planning for SAP S/4HANA Cloud (SAP Best Practices)  SAP Sales Planning for SAP S/4HANA Cloud (SAP Best Practices) For questions or comments, please contact S/4HANA Cloud product managers below:  Mark P. Burke ­ mark.p.burke@sap.com ­ Financial Planning & Analysis  Hardeep Tulsi ­ h.tulsi@sap.com ­ Finance Analytics
2.16 Financial Products Subledger for SAP S/4HANA
2.16.1 Architecture and Abstract
The financial products subledger for S/4HANA Workplace for Accountants and Actuaries comprises several SAP Analytics Cloud analytical applications for subledger reporting. In detail, the following analytical applications are provided as SAP Analytics Cloud content:  Journal entry item view  Financial statement reports for the following:
 Actual key date  Comparison of two key dates  Comparison of actual and scenario data for a key date  Comparison of two scenarios for a key date  Rollforward Report All of the above-mentioned SAP Analytics Cloud analytical applications require the availability of financial products subledger for S/4HANA FP02 (or higher) based on S/4HANA 1809. The SAP Analytics Cloud content applications require a live data connection to the S/4HANA FPSL system.

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Architecture

2.16.2 Analytical Applications
2.16.2.1 Journal Entry Item View (SAP__FS_FPS_JOURNALENTRYITEMVIEW_LI)
The analytical application Journal Entry Item View allows you to display journal entry items for a legal entity, accounting system and a posting date period. On the canvas page of the application, a standardized view shows journal entry items with the following dimensions and measures: Dimensions:  Journal Entry Item Number

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 Posting Date  Line Item Number  Debit/Credit Indicator  G/L Account  Subledger Account  Process Step ID  Calculation Method  Contract Category  Contract ID  Financial Instrument ID
 Measures:  Local Currency Amount  Functional Currency Amount  Group Currency Amount  Transaction Currency Amount
At the top of the canvas page, a filter line allows you to filter based on specific dimensions. By clicking on the Settings icon in the top right-hand corner, a popup appears, which allows you to add additional dimensions and measures. In this popup window, dimensions and measures can be selected in a checkbox group. The checkbox group contains all subledger coding block dimensions included in the S/4HANA FPSL virtual data model. These can be enhanced by custom fields using extension views. In addition, the display mode of all dimensions can be changed. The setting Default keeps the individual setting specified on the table level.
The Explorer icon allows you to switch to the explorer mode.
For a detailed view of one journal entry item, you can click on a line item. A popup window appears that gives you insights into all coding block dimensions. While the first tab in the popup window gives an overview, the header tab shows all coding block dimensions belonging to the journal entry item header. The item tab shows all the coding block dimensions of each item. The last tab (the status dimension tab) shows analytical statuses and the G/L account.

2.16.2.2 Financial Statement
The analytical application "Financial Statement" allows you to display a balance sheet and profit and loss statement for a legal entity, accounting system and a key date.
On the canvas page of the application, a standardized view shows the financial statement with the G/L account hierarchy in functional currency. At the top of the canvas page, a filter line allows you to filter based on specific dimensions. By clicking on the Settings icon in the top right-hand corner, additional dimensions can be added, the currency type can be switched from functional currency to another currency using a dropdown menu. Additionally, the financial statement can be reduced to display only accounts for the balance sheet or only the accounts for profit & loss.
By choosing additional dimensions, you can drill down in the balance sheet at the following 4 levels:
1. Account Level Default dimension: General Ledger Account (Hierarchy)
2. Account Level Dimensions: Segment, Profit Center (Hierarchy)

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3. Business Partner Level Dimensions: Industry (Hierarchy), Industry Segment, Industry System
4. Contract Level Dimensions: Contract, Financial Instrument

Selectable Currency Measures:
 Transaction Currency Amount  Amount in Functional Currency  Local Currency Amount  Group Currency Amount  Hard Currency Amount  Index Currency Amount  Add. Currency 1 Amt  Add. Currency 2 Amt  Add. Currency 3 Amt  Add. Currency 4 Amt

2.16.2.3 Financial Statement (Period Comparison)
The analytical application "Financial Statement (Period Comparison)" allows you to compare two balance sheets and profit and loss statements for a legal entity and accounting system on two different key dates. For more details about filtering, adding dimensions and changing currencies later on, please see the Financial Statement section. The canvas page of the application has the following structure and shows three different currency amounts:  Basis balance  Comparison balance

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 Difference amount (= basis balance ./. comparison balance)

2.16.2.4 Financial Statement (Actual/Scenario Comparison)
The analytical application "Financial Statement (Actual/Scenario Comparison)" allows you to compare two financial statements for a legal entity and accounting system on a key date. The comparison amount corresponds to a scenario (identified by the Scenario Run ID). The prerequisite for using this application is that you are using the Forecasting, Planning, and Simulation function of financial products subledger for S/4HANA.
For details about filtering, adding dimensions, and changing currency types later on, and about the structure of the canvas page, please see the Financial Statement (Period Comparison) section.

2.16.2.5 Financial Statement (Scenario/Scenario Comparison)
The analytical application Financial Statement (Scenario/Scenario Comparison) allows you to compare two financial statements of a legal entity, accounting system, key date and two different scenario run IDs. The prerequisite for using this application is that you are using the Forecasting, Planning, and Simulation function of financial products subledger for S/4HANA.
For details about filtering, adding dimensions, and changing currency types later on, and about the structure of the canvas page, please see the Financial Statement (Period Comparison) section.

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2.16.2.6 Rollforward Report
The analytical application Rollforward Report allows you to display the development of balance sheet positions of a legal entity and accounting system for a freely defined posting date period.
The canvas page is split into two panels. The upper panel shows a waterfall chart for the dimension Accounting Change, which is represented as a hierarchy and has the following level-1 items: previous recognition, initial recognition, time recognition, experience recognition, update recognition and derecognition. The measure for currency amounts can be selected in the Settings popup, while amounts in functional currency are shown in the default setting.
The lower panel shows the information on which the waterfall chart is based. The columns show the chosen currency measures divided into the accounting changes. This hierarchy can be used to drill down to all detailed accounting changes. By default, the table rows show the G/L account hierarchy. At the top of the canvas page, a filter line allows you to filter table entries based on specific dimensions.
The following dimensions can be added using the Settings popup:
 Segment  Profit Center (Hierarchy)  Industry (Hierarchy)  Industry Segment  Industry System  Contract  Financial Instrument
The following currency measures can be selected:
 Amount in Functional Currency  Local Currency Amount  Group Currency Amount  Hard Currency Amount  Index Currency Amount  Add. Currency 1 Amt  Add. Currency 2 Amt  Add. Currency 3 Amt  Add. Currency 4 Amt

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2.16.3 Models
2.16.3.1 Journal Entry Line Items (SAP__FS_FPS_LB_JOURNALENTRYITEM)

Model Name: SAP__FS_FPS_LB_JOURNALENTRYITEM

Connection

 Model Description: Journal Entry Items  Planning Enabled: No  Model Purpose: This model provides journal entry items comprising all sub
ledger coding block dimensions

 Connection Type: Data import from SAP BW (this is the interface used to access CDS Queries) Which system: Financial products subledger for SAP S/4HANA
 Connection Query: Journal Entry Items (2CCFPSASJEITEMQ)
 Mandatory Variables: Legal Entity, Accounting System, Posting Date
 Optional Variables: Account ing Scenario, Accounting Sce nario Run, Scenario Reference Date, Contract, Contract Source System, Financial In strument ID

Dimensions Name FPSDATABASEPARTITIONINGNMBR POSTINGDATE FPSACCOUNTINGSYSTEM FPSLEGALENTITY FPSSUBLDGRJOURNALENTRY FPSRESULTTYPE

Description Partitioning Key Posting Date Accounting System Legal Entity Journal Entry Number Result Type

FPSRESULTDATAAREA

Results Data Area

FPSACCTGSCENPROCESSCATEGORY Process Category

FPSSUBLDGRJOURNALENTRYITEM Journal Entry Line Item Number

FPSSUBLDGRACCTBALLFCYCSTAGE Lifecycle Stage (Subledger Account)

FPSFINPRODTRANSITIONAPPROACH Transition Approach

FPSSECURITYPOSITIONLOT

Lot ID

FPSFINANCIALPRODUCTSTATUS

Contract Status

FPSBUSTRANSACTRANSACTIONTYPE Transaction Type

FPSINSURCONTRCVRGSB PERDSTRTDTE

Coverage Subperiod Start Date

Mapping 2CHD4UX78XGTMLJEVX3LTRK2UU0 2CICALENDARDATE 2CIFPSACCSYST 2CIFPSLEGENT 2CNKUSL141AYOJI2FDRAEBA3NT2 2CQ7D2RN7U2O2NKPL8MBU MAHVM1 2CQTSPD9TK6EL6SKNOD8ZPDVD1W 2CTXWWNYA4I3PNR3PIEZCFGRUIC 2CU8GLTI4SIJWYLZ4ELGD1RVOU8 2CF8T8F1LNHCLGTIHFIVIAQAY82 2CFH6OA3JJVGCAPSQPUAKU131BU 2CFO9S4G0CH57YD7SFB19RI0OSQ 2CFOSEQDDHJTPQP6E5KDEZJPT5U 2CFQSYH07RX88JQ809MSGEDPHZL 2CFRSN6PO68PNCZ10ORCP58QY5A

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Model Name: SAP__FS_FPS_LB_JOURNALENTRYITEM

FPSSUBLDGRJRNLENTRRSET POSTGDTE

Posting Date of Reset

FPSBUSTRANSACTIONVATCOUNTRY Tax Country

FPSFINPRODASSETLIABILITYSTATUS Asset/Liability Status

FPSFINPRODMKTCONFORMITYSTA TUS

Market Conformity Status of Contract

FPSFINPRODWRITEDOWNSTATUS

Write-Down Status

FPSBESTESTCASHFLOWISCANCELED Cancellation Indicator

FPSSUBLDGRJOURNALENTRYRSE TREF

Reference to Reset Journal Entry

FPSPORTFOLIOCATEGORY

Portfolio Category

FPSREINSURCONTRACTBUSINES STYPE

Insurance Business Type

ACCOUNTINGPRINCIPLE

Accounting Principle

ACCOUNTINGDOCUMENTTYPE

Document type

CHARTOFACCOUNTS

Chart of Accounts

COMPANYCODE

Company Code

CONTROLLINGAREA

Controlling Area

FISCALYEAR

Fiscal Year

FPSGENERALLEDGERACCOUNT

G/L Account Number

PROFITCENTER

Profit Center

PARTNERSEGMENT

Partner Segment for Segmental Re porting

FINANCIALTRANSACTIONTYPE

Consolidation Transaction Type

FPSACCOUNTINGSCENARIORUN

ID of Accounting Scenario Run

SEGMENT

Segment for Segmental Reporting

FPSTGTBALANCECALCULATIONME THOD

Calculation Method

FPSTGTBALCALCMETHODOLOGY

Calculation Methodology

DEBITCREDITCODE

Debit/Credit Indicator

FPSFINANCIALPRODUCTCATEGORY Contract Category

FPSFINANCIALPRODUCT

Contract

FPSFINANCIALSTATEMENTSEGMENT Financial Statement Segment

FPSFINANCIALPRODUCTTYPE

Production Control

FPSBUSPARTDISCLINDSTRYSGMT

Industry Segment (Balance Sheet)

FPSBUSPARTDISCLINDUSTRY

Industry

FPSBUSPARTDISCLINDSTRYSYST

Industry System

Connection 2CG1U0HTM7Z45VYXVTOBOYR9B6S
2CG44SJLD83TDUZR7EN7M8DMW0U 2CGHANERC0ITHJTWA962493VMHT 2CGQ9749XC9BK306SMI20MIQR1K
2CGZ54V3X54DNVYR4VMDCOI2VAY 2CH02M6NFZ28BUHCJCHF1O6PO7X 2CH5M7MANMN6EJ5CE0NAYM5HELI
2CHFX745FK0R6IYS4HXMD7VHOQU 2CI88ZSDZAHG7SRPHZZHDSSZTQC
2CIACCPRINCIPLE 2CIFIACCDOCTYPE 2CIFICHOFACC 2CIFICOMPANYCODE 2CIFICONTAREA 2CIFIFYEARCC 2CIFIGLACCINCOA 2CIFIPROFITCENTER 2CIFISEGMENT
2CIFITRANSTYPE 2CIFPSACCSCENID 2CIFPSASJEITEMC-SEGMENT 2CIFPSCMETH
2CIFPSCMETHY 2CIFPSDEBITCREDITC 2CIFPSFINPRODCAT 2CIFPSFINPRODE 2CIFPSFINSTMNTSGMT 2CIFPSFPRODTYPE 2CIFPSINDSEG 2CIFPSINDUSTRY 2CIFPSINDUSTRYH

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Model Name: SAP__FS_FPS_LB_JOURNALENTRYITEM

Connection

FPSFINPRODUCTSOURCESYSTEM

Contract Source System

2CIFPSOURCESYSTEM

FPSACCOUNTINGPROCESSSTEP

Process Step ID for Process Controller 2CIFPSPROCID

FPSSECURITY

Financial Instrument ID

2CIFPSSECURITY

FPSSUBLEDGERACCOUNT

Subledger Account

2CIFPSSLACC

FPSTARGETBALANCECHANGE

Accounting Change

2CIFPSTARBALCH

FPSREPORTINGPRODUCTSEGMENT Product Segment (Balance Sheet)

2CIR0BEAECXC4E4D457V23QWQOB

FPSFINPRODINITIALRECGNONRSSTS Onerousness Status on Initial Recogni 2CIV36SKOEDBLT87Q2EP349IM6B tion

FPSBUSINESSTRANSACTION

Business Transaction ID

2CJ08HX8Z249H1MES6XH7JE6TER

FPSTIMESTAMPCOLLECTION

ID of Timestamp Collection

2CJ0W58EVGBV52GKVASPNWSEE4U

FPSRESULTCREATEDBY

Created By

2CJEHL8A0YUBM77R77CTPE3D4WN

FPSFINPRODONEROUSNESSSTATUS Onerousness Status

2CK2O9AKVJI015YN0ROHVVUW7HQ

FPSBUSTRANSACTIONVATREFER ENCE

ID of Reference Business Transaction 2CKL8FDUZUAQQI2N1F7IAY8D956

FPSPARKEDSUBLDGRJOURNALEN TRY

Reference to Parked Subledger Journal 2CKOOPY0PDS15OFTHMSPRLMHCPR En

FPSLOSSEVENT

Loss Event ID

2CL2X8GPRXS7GRWA9LJMIAQJ5P9

FPSBECFCANCLDVERSIONREFER ENCE

Cancellation Reference

2CLAT6ISL6CURNZ01AMSXQWXJMM

FPSFINPRODTERMSEGMENTSTATUS Term Segment (Balance Sheet)

2CLDILY0286G6CE5H5T2ASGDE8K

FPSPRKDSUBLDGRJRNLENTRRELDBY Preliminary Subledger Journal Entry Rele

2CLNHDXUM85RKEABQPICID700FO

FPSCONTRACTLIFECYCLESTAGE

Lifecycle Segment (Balance Sheet)

2CM35I04ABLBSFNE8PNY5Y8QNXL

FISCALYEARPERIOD

FIN Master Data: Fiscal Year and Period 2CM91PAZUAR0PMPEGBQN83CDLTQ

FPSBUSTRANSACTIONVALUEDATE

Value Date

2CMGB0RS9MY6R4M6SUSTDVZ6TAE

FPSFINPRODACCRUINGSTATUS

Accrual Status

2CMN9CIQ103SVV3CABECHX492IV

FPSSECURITYNODE

Node Number (Financial Instrument) 2CMNC5V2N2OC4GJ3MC4Y80RNBE6

ACCOUNTINGDOCUMENTHEADER TEXT

Journal Entry Header Text

2CN09A9K693J49BX0QCTNXKRKQS

FPSACCOUNTINGSCENARIO

Accounting Scenario

2CN0G51XO4NQZPQIOJU4P9DP7YG

FPSBUSTRANSACTIONISREVERSING Reversal Business Transaction By Value 2CN7UW272BQXERMYW4IS4JTE921

FPSCASHFLOWCATEGORY

Cash Flow Category

2CNQA0JBXISBECC97ZP424S8L6U

FPSCOSTREVENUEELEMENT

Cost or Revenue Element

2CNQGUCD4C2QJBZUIJFYHLSJ5M1

FPSRESULTCREATIONDATETIME

Point in Time

2CO374NC4HVNDZOVCWQUMVX8IZV

FPSBUSTRANSACTIONREVERSEDREF Business Transaction ID of Reversed BT 2CO4C3A355NID4AWTHNJ4D4SVM8

FPSJOURNALENTRYINVERTEDREF

Reference to Inverted Journal Entry

2CO6B5HBOY7WI8BEJIBA1Q85A9R

FPSSCENARIOREFERENCEDATE

Scenario Reference Date

2COA4N7ZJ6OS8KBA3ZDSTZLENDK

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Model Name: SAP__FS_FPS_LB_JOURNALENTRYITEM

Connection

PARTNERPROFITCENTER

Partner Profit Center

2COENXOUE8BAD00INFJY0UMU0FI

FPSFINPRODCLASSIFICATIONSTATUS Classification for Financial Products

2COII3X5YDAAPOHYBOU326F2I6A

FPSFINPRODIMPAIRMENTSTATUS

Impairment Status

2COPNX8NSSJN2L7VCXSIA08XGC2

FPSINSURCONTRCOVERAGESTART DATE

Start Date of Coverage

2COR2UKYY80ZODJGHKHR7NN1VP4

ISBUSINESSPURPOSECOMPLETED ISBUSINESSPURPOSECOMPLETED 2CP7B8ZIBLJZ480A2FI1XLUZX1F

FPSTGTBALINFLOWOUTFLOWIND

Inflow/Outflow

2CP88NO6LEWP4NQO22MX3UA5Z4M

FPSBUSTRANSACVALUEADDEDTAX CODE

Tax Code

2CPJTXWG05QYE78MTPJNZYYOD2P

FPSSECURITYTYPE

Instrument Type

2CPZD9DAIS068A4VD067D1VVYL0

FPSBUSTRANSACVALUEADDEDTAX TYPE

Transaction Key

2CQ779W85E3DMZK91145SKNJX4Y

FPSPOSTINGRECORD

Posting Record

2CQB2QKYGZNLTJV6ES6SJ2XK784

FPSBUSTRANSACTIONPOSTINGDATE Document Date

2CQDVAIED38O9K2Q5QBZPILZ18D

FPSFINPRODFAIRVALUELEVELSTATUS Level in Fair Value Hierarchy

2CQKB59ALGKF6O36T72SCA7K0K8

FPSSUBLDGRJOURNALENTRYISRSET Reset Document

2CQPHQXPF6SQ9POC7N49SNPA7EU

FPSREINSURCONTRINVENTOR YGROUP

Insurance Inventory Group

2CR20IRDXLZ7JZ3QFP5CZKO826D

FPSSECURITYSOURCESYSTEM

Securities Source System

2CRBNOG1D2L26J2E1BMKMCNDQCY

FPSPRKDSUBLDGRJRNLENTRCR TEDBY

Preliminary Subledger Journal Entry 2CRKBX0K9NLMOHPDIPZT4HPIMYM

FPSSECURITIESACCOUNTCATEGORY Securities Account Category

2CRQ02JZV4S1JOLS6MZU0PVGZOD

FPSBUSINESSTRANSACTIONITEM

Item Number

2CRXHG7Y3RHJOGSVS9HH14E0B5E

FPSBUSTRANSACTIONVATREFITEM

Reference Number of Business Trans action

2CS5N6Y9USO80WSV9SBVF5I9VMD

FPSSECURITYSTATUS

Securities Status

2CS74CMAFSIGE7KOB3Q5Q9LZZNN

FPSJOURNALENTRYISINVERTING

Inverting Journal Entry (X = Inverter) 2CSEE6KKB6AXOBILDKB9ATKBEA2

FPSBUSTRANSACTIONSOURCESYS TEM

Source System of Business Transaction 2CSVXQ1ZKDQWLQ0DGP202JY8NK6

FPSINSURANCECONTRACTCOVER AGE

Coverage Identifier

2CSZ914IZFZ3UFNGR6EEJIC15IN

FPSBUSTRANSACSOURCE SYSTCRTNDTE

System Date in Source System

2CTRQUENFR2HMALU5QAANAOGIZF

FPSBESTESTIMATECASHFLOWVER SION

Version Number

2CTZW89HPPUUTXN49YIFIV1U45V

FPSBUSTRANSACVATREFERENCETAX Reference Tax Code

2CU02PUOSWJ9I6GJR6DT0WMAC60

FPSBUSTRANSACSOURCE SYSTCRTNTME

System Time in Source System

2CU6459S6KMZ0MVER1BHLARG2TP

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Model Name: SAP__FS_FPS_LB_JOURNALENTRYITEM

FPSFINANCIALPRODUCTNODE

Node Number

Connection 2CU97J6WSOPE8LLDGV52VLEO08O

INDEXBASEDCURRENCY

Index-Based Currency

2CGTIMU9XOT0H3460BXUYNLPBXM

FPSBUSTRANSACNOMINALCUR RENCY

Key Figure Currency

2CHYE2220B56U80VY4LOC3F8VOK

FPSADDITIONALCURRENCY2

Additional Currency 2

2CI18HHZWISUB15TG2EE0Y6VIZR

FPSADDITIONALCURRENCY3

Additional Currency 3

2CIWTJ192XYXQS7OE0ZPTPWNZ3T

HARDCURRENCY

Hard Currency

2CJXO275TFM56NRVJFSA7RZIWY1

FPSFUNCTIONALCURRENCY

Functional Currency

2CLRV91R1PNQUBO8RA43HBASJLX

LOCALCURRENCY

Local Currency

2CMONVA6UGB1PXBCQEWDSGX2LM 6

FPSBUSTRANSACTIONQUANTITYUNIT Unit of Measure of a Key Figure

2CMWUFWSLFF25TAYTE0J2YWZYV9

GROUPCURRENCY

Group Currency

2CR16IPHNPEL6J7UL16S0CWQ3JQ

TRANSACTIONCURRENCY

Object Currency/Transaction Currency 2CR4335Y5XDV1O1E4JEWOMVW70V

FPSADDITIONALCURRENCY1

Additional Currency 1

2CR6ZPW25YU13VCQFNC25S5R233

FPSADDITIONALCURRENCY4

Additional Currency 4

2CSJ1JVD1OS0454J1807TM1E8BR

Name Dimension that only exists in SAC model and not in data source

Assign to #

Additional Notes about the model

Provide additional information about the model if needed

Measures

ELTUIDCMP1

Add. Currency 1 Amt

ELTUIDCMP10

Trans. Crcy Amount

ELTUIDCMP11

Quantity

ELTUIDCMP12

Nominal Amount

ELTUIDCMP13

Tax Base Amount (TC)

ELTUIDCMP14

Tax Base Amount (FC)

ELTUIDCMP2

Add. Currency 2 Amt

ELTUIDCMP3

Add. Currency 3 Amt

ELTUIDCMP4

Add. Currency 4 Amt

ELTUIDCMP5

Local Currency Amnt

ELTUIDCMP6

Amount in Func. Crcy

ELTUIDCMP7

Group Crcy Amnt

ELTUIDCMP8

Hard Crcy Amnt

ELTUIDCMP9

Index Crcy Amnt

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2.16.3.2 Financial Statement

Model Name: SAP__FS_FPS_LB_FINANCIALSTATEMENT

Connection

 Model Description: Model for Financial Statement  Planning Enabled: No  Model Purpose: This model provides a financial statement, including balance
sheet and profit and loss, for a certain key date

 Connection type: Data import from SAP BW (this is the interface used to access CDS Queries) Which sys tem: Financial products subledger for SAP S/4HANA
 Connection Query: Financial State ment (2CCFPSFINSTATEMENT)
 Connection Variables: mandatory Variables: Legal Entity, Accounting System, Key Date

Dimensions

Name

Description

FPSRESULTTYPE

Result Type

FPSACCTGSCENPROCESSCATEGORY Process Category

FPSSUBLDGRJOURNALENTRYITEM Journal Entry Line Item Number

POSTINGDATE

Posting Date

FPSACCOUNTINGSYSTEM

Accounting System

FPSLEGALENTITY

Legal Entity

FPSDATABASEPARTITIONINGNMBR Partitioning Key

FPSRESULTDATAAREA

Results Data Area

FPSSUBLDGRJOURNALENTRY

Journal Entry Number

Mapping 2CG8WU3APHYUHTPZVKH51QETGZF 2CHH05S64ON0GBGUYQLSOHGA1JE 2CI7VRQL4G8SH4VJ01DAQ4WT29Y 2CICALENDARDATE 2CIFPSACCSYST 2CIFPSLEGENT 2CL52PDPVKL0XRGEQ52UNWKZ5RX 2CMRC5OUB5FAGTFHE3X8857P820 2CS7R8WPITG0QVT1YV7YY9XX3LJ

GLACCOUNTHIERARCHY

G/L Account Hierarchy

CHARTOFACCOUNTS

Chart of Accounts

COMPANYCODE

Company Code

CONTROLLINGAREA

Controlling Area

FISCALYEAR

Fiscal Year

FPSGENERALLEDGERACCOUNT

G/L Account Number

PROFITCENTER

Profit Center

FPSFINANCIALPRODUCT

Contract

SEGMENT

Segment for Segmental Reporting

FPSFINANCIALSTATEMENTSEGMENT Financial Statement Segment

FPSBUSPARTDISCLINDSTRYSGMT

Industry Segment (Balance Sheet)

FPSBUSPARTDISCLINDUSTRY

Industry

FPSBUSPARTDISCLINDSTRYSYST

Industry System

2CHSS1J78GXKS7PNJPN1917SYSY 2CIFICHOFACC 2CIFICOMPANYCODE 2CIFICONTAREA 2CIFIFYEARCC 2CIFIGLACCINCOA 2CIFIPROFITCENTER 2CIFPSFINPRODE 2CIFPSFINSTATEMENT-SEGMENT 2CIFPSFINSTMNTSGMT 2CIFPSINDSEG 2CIFPSINDUSTRY 2CIFPSINDUSTRYH

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Model Name: SAP__FS_FPS_LB_FINANCIALSTATEMENT

Connection

FPSFINPRODUCTSOURCESYSTEM

Contract Source System

2CIFPSOURCESYSTEM

FPSSECURITY

Financial Instrument ID

2CIFPSSECURITY

FPSREPORTINGPRODUCTSEGMENT Product Segment (Balance Sheet)

2CLOAT6LGSI8GU44FJ7PTE44RVM

FPSADDITIONALCURRENCY1

Additional Currency 1

2CG19VA65QB8NHSZ92WF49TB07M

FPSADDITIONALCURRENCY4

Additional Currency 4

2CH75DHKTV10PDUY8S73O6DNRXH

INDEXBASEDCURRENCY

Index-Based Currency

2CL7LINZPZYB23B6NDRGPO1RDHL

FPSADDITIONALCURRENCY2

Additional Currency 2

2CLHUQAJ0JCOZVGVKSROTX3BDLM

FPSBUSTRANSACTIONQUANTITYUNIT Unit of Measure of a Key Figure

2CLQF5HKUKCSA89HM7Z3EKXALGO

FPSBUSTRANSACNOMINALCUR RENCY

Key Figure Currency

2CMHXP3VTIWJRE0MU32SK9L8GCS

HARDCURRENCY

Hard Currency

2CMS14LT8VVUCKMUHI6J8F5CCJ5

GROUPCURRENCY

Group Currency

2CMXG9CZO9J3K0PY60BXTH8N5HL

TRANSACTIONCURRENCY

Object Currency/Transaction Currency 2CNY9VUSENH2M74XRTEXT213YLJ

FPSFUNCTIONALCURRENCY

Functional Currency

2CPH45IZHOP2M6QB2S2BAT9WSQ3

FPSADDITIONALCURRENCY3

Additional Currency 3

2CTM5EYEQ1BXVXGZT3UATNSPGQP

LOCALCURRENCY

Local Currency

2CTO8NHNH2LYXLB0I4M3VOX7MQJ

Name Dimension that only exists in SAC model and not in data source Additional Notes about the model Provide additional information about the model if needed Measures ELTUIDCMP1 ELTUIDCMP10 ELTUIDCMP11 ELTUIDCMP12 ELTUIDCMP13 ELTUIDCMP14 ELTUIDCMP2 ELTUIDCMP3 ELTUIDCMP4 ELTUIDCMP5 ELTUIDCMP6 ELTUIDCMP7

Connection Type Name of the Report Assign to #
Nominal Amount Add. Currency 2 Amt Add. Currency 3 Amt Add. Currency 4 Amt Tax Base Amount (TC) Tax Base Amount (FC) Quantity Trans. Crcy Amount Amount in Func. Crcy Local Currency Amnt Group Crcy Amnt Hard Crcy Amnt

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Model Name: SAP__FS_FPS_LB_FINANCIALSTATEMENT ELTUIDCMP8 ELTUIDCMP9

Connection Index Crcy Amnt Add. Currency 1 Amt

2.16.3.3 Financial Statement (Period Comparison)

Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTPERIODCOMPARI SON

Connection

 Model Description: Model for Financial Statement (Period Comparison)  Planning Enabled: no  Model Purpose: This model provides a financial statement, including balance
sheet and profit and loss, of a legal entity and accounting system for two dif ferent key dates

 Connection type: Data import from SAP BW (this is the interface used to access CDS Queries) Which sys tem: Financial products subledger for SAP S/4HANA
 Connection Query: Financial State ment Period Comparison (2CCFPSFSPERDCOMP)
 Connection Variables: Key Date, Key Date Benchmark, Legal Entity, Accounting System

Dimensions

Name

Description

FPSRESULTDATAAREA

Results Data Area

FPSSUBLDGRJOURNALENTRY

Journal Entry Number

POSTINGDATE

Posting Date

FPSACCOUNTINGSYSTEM

Accounting System

FPSLEGALENTITY

Legal Entity

FPSACCTGSCENPROCESSCATEGORY Process Category

FPSDATABASEPARTITIONINGNMBR Partitioning Key

FPSRESULTTYPE

Result Type

FPSSUBLDGRJOURNALENTRYITEM Journal Entry Line Item Number

CHARTOFACCOUNTS

Chart of Accounts

COMPANYCODE

Company Code

CONTROLLINGAREA

Controlling Area

FISCALYEAR

Fiscal Year

FPSGENERALLEDGERACCOUNT

G/L Account Number

PROFITCENTER

Profit Center

FPSFINANCIALPRODUCT

Contract

Mapping 2CFGNH2XZ60O5G5T15NYQO5W34A 2CHJ1BX5H6UBBKTGBRCPWSGGG2Z 2CICALENDARDATE 2CIFPSACCSYST 2CIFPSLEGENT 2CNLXM3A7HWYOHG240N24SSVMJT 2CO8K8KYC20C1J13EYODH8WBAQB 2COGET3HVJQZ3TVPRSYNRBRO932 2CQJF4RBFMLNECB8F7KXWX49X7R 2CIFICHOFACC 2CIFICOMPANYCODE 2CIFICONTAREA 2CIFIFYEARCC 2CIFIGLACCINCOA 2CIFIPROFITCENTER 2CIFPSFINPRODE

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Connection

FPSFINANCIALSTATEMENTSEGMENT Financial Statement Segment

2CIFPSFINSTMNTSGMT

SEGMENT

Segment for Segmental Reporting

2CIFPSFSPERDCOMP-SEGMENT

FPSBUSPARTDISCLINDSTRYSGMT

Industry Segment (Balance Sheet)

2CIFPSINDSEG

FPSBUSPARTDISCLINDUSTRY

Industry

2CIFPSINDUSTRY

FPSBUSPARTDISCLINDSTRYSYST

Industry System

2CIFPSINDUSTRYH

FPSSECURITY

Financial Instrument ID

2CIFPSSECURITY

FISCALYEARPERIOD

Fiscal Year and Period

2CM13J5FK452TWVDGSBZ0IT77OF

FPSCOMPARISONPART

Analytic Comparison Part

2CNOVBP1RGXOSCDHNLAAAO DOQWK

GLACCOUNTHIERARCHY

G/L Account Hierarchy

2CONCBOE2EVO92W5KI1QJMO7QQE

FPSREPORTINGPRODUCTSEGMENT Product Segment (Balance Sheet)

2CTCZGPBGGJSVD8682PAJKH5W2N

FPSADDITIONALCURRENCY1

Additional Currency 1

2CFWP0LCQQP2FR4ZUM6D8ZZVYB2

FPSADDITIONALCURRENCY3

Additional Currency 3

2CGDV2Q3L4PIHF0MQCKHCY4QS2Q

FPSBUSTRANSACNOMINALCUR RENCY

Key Figure Currency

2CKFLBS2DF4HKR8YJGAGVXAWEA2

HARDCURRENCY

Hard Currency

2CKOG8X3LXQ521BP8HWMYP50TYE

FPSADDITIONALCURRENCY4

Additional Currency 4

2CMOBZ1FESYX8D3CFDHU6DVVF84

LOCALCURRENCY

Local Currency

2CPLCO0STFLUCHI23AAC4XNMYZP

FPSADDITIONALCURRENCY2

Additional Currency 2

2CQZILVEFUN4EH95TPXU9M6L4BS

FPSBUSTRANSACTIONQUANTITYUNIT Unit of Measure of a Key Figure

2CRVDOKZ6TXHCGID5B5TGBG3LTC

FPSFUNCTIONALCURRENCY

Functional Currency

2CSPHDD0BGOZ3E7WO6VDNBRWP6 Q

INDEXBASEDCURRENCY

Index-Based Currency

2CSR5XSG0ZJXB3RC1ELXGHC0R81

TRANSACTIONCURRENCY

Object Currency/Transaction Currency 2CT9YTTTYU1TFJPGMSFNX3C53I7

GROUPCURRENCY

Group Currency

2CTU9E0WK2DMQW0M1URCX9SGMV N

Name Dimension that only exists in SAC model and not in data source

Assign to #

Additional Notes about the model

Provide additional information about the model if needed

Measures

ELTUIDCMP1

Nominal Amount

ELTUIDCMP10

Add. Currency 2 Amt

ELTUIDCMP11

Add. Currency 3 Amt

ELTUIDCMP12

Add. Currency 4 Amt

ELTUIDCMP13

Tax Base Amount (TC)

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTPERIODCOMPARI SON ELTUIDCMP14 ELTUIDCMP15 ELTUIDCMP16 ELTUIDCMP17 ELTUIDCMP18 ELTUIDCMP19 ELTUIDCMP2 ELTUIDCMP20 ELTUIDCMP21 ELTUIDCMP22 ELTUIDCMP23 ELTUIDCMP24 ELTUIDCMP25 ELTUIDCMP26 ELTUIDCMP27 ELTUIDCMP28 ELTUIDCMP29 ELTUIDCMP3 ELTUIDCMP30 ELTUIDCMP31 ELTUIDCMP32 ELTUIDCMP33 ELTUIDCMP34 ELTUIDCMP35 ELTUIDCMP36 ELTUIDCMP37 ELTUIDCMP38 ELTUIDCMP39 ELTUIDCMP4 ELTUIDCMP40 ELTUIDCMP41 ELTUIDCMP42 ELTUIDCMP5 ELTUIDCMP6

Connection Tax Base Amount (FC) Nominal Cmprn Amount Comparison Quantity TrCrcy ComprnAmt CmpAmount Func. Crcy Local Curr. CmprnAmt Quantity Group Curr. CmprnAmt Hard Curr. CmprnAmt Index Curr. CmprnAmt AdCrcy 1 Comprn Amt AdCrcy 2 Comprn Amt AdCrcy 3 Comprn Amt AdCrcy 4 Comprn Amt Tax Base CmpAmt (TC) Tax Base CmpAmt (FC) Nominal Diff. Amount Trans. Crcy Amount Difference Quantity TrCrcy Diiff.Amt DifAmount Func. Crcy Local Curr. Diff.Amt Group Curr. Diff.Amt Hard Curr. Diff.Amt Index Curr. Diff.Amt AdCrcy 1 Diff. Amt AdCrcy 2 Diff. Amt AdCrcy 3 Diff. Amt Amount in Func. Crcy AdCrcy 4 Diff. Amt Tax Base DifAmt (TC) Tax Base DifAmt (FC) Local Currency Amnt Group Crcy Amnt

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTPERIODCOMPARI SON
ELTUIDCMP7 ELTUIDCMP8 ELTUIDCMP9

Connection Hard Crcy Amnt Index Crcy Amnt Add. Currency 1 Amt

2.16.3.4 Financial Statement (Actual/Scenario Comparison)

Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTACTSCENCOMPARISON

Connection

 Model Description: Model for Financial Statement (Actual/Scenario Comparison)  Planning Enabled: no  Model Purpose: Model Purpose: This model provides a financial statement, including
balance sheet and profit and loss, of a legal entity and accounting system for the actual and a forecast, planning or simulation scenario

 Connection type: Data import from SAP BW (this is the interface used to access CDS Queries) Which system: Financial products sub ledger for SAP S/4HANA
 Connection Query: Fi nancial Statement Ac tual Scenario Compari son (2CCFPSFNSTMACSCC MP)
 Connection Variables: Key Date, Accounting Scenario Run, Legal En tity, Accounting System

Dimensions

Name

Description

POSTINGDATE

Posting Date

FPSACCOUNTINGSYSTEM Accounting System

FPSLEGALENTITY

Legal Entity

FPSDATABASEPARTITIO NINGNMBR

Partitioning Key

FPSSUBLDGRJOURNALEN Journal Entry Line Item Number TRYITEM

FPSACCTGSCENPROCESS Process Category CATEGORY

FPSSUBLDGRJOURNALEN Journal Entry Number TRY

Mapping
2CICALENDARDATE
2CIFPSACCSYST
2CIFPSLEGENT
2CK60QG1T98LARI1752H7B 8Q29R
2CKN5G1KOVTTC9TATM3SZ H6KECD
2CNJWYJS1LFXR48ZKBW0I 1IOKVK
2CTN4SYYGMZ1012R3DH9V 52109V

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTACTSCENCOMPARISON

FPSREPORTINGPRODUCT Product Segment (Balance Sheet) SEGMENT

CHARTOFACCOUNTS

Chart of Accounts

COMPANYCODE

Company Code

CONTROLLINGAREA

Controlling Area

FISCALYEAR

Fiscal Year

FPSGENERALLEDGERAC COUNT

G/L Account Number

PROFITCENTER

Profit Center

FPSFINANCIALPRODUCT Contract

FPSFINANCIALSTATEMENT Financial Statement Segment SEGMENT

SEGMENT

Segment for Segmental Reporting

FPSBUSPARTDISCLIND STRYSGMT
FPSBUSPARTDISCLINDUS TRY
FPSBUSPARTDISCLIND STRYSYST
FPSSECURITY
FISCALYEARPERIOD

Industry Segment (Balance Sheet) Industry Industry System Financial Instrument ID FIN Master Data: Fiscal Year and Period

FPSANALYTICCOMPARI SONPART
GLACCOUNTHIERARCHY

Analytic Comparison Part G/L Account Hierarchy

HARDCURRENCY

Hard Currency

TRANSACTIONCURRENCY Object Currency/Transaction Currency

FPSADDITIONALCUR RENCY2
FPSBUSTRANSACTION QUANTITYUNIT
FPSADDITIONALCUR RENCY3
GROUPCURRENCY

Additional Currency 2 Unit of Measure of a Key Figure Additional Currency 3 Group Currency

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Connection 2CFBK4JRWY01P5GSBLDD7 ZLI73M 2CIFICHOFACC 2CIFICOMPANYCODE 2CIFICONTAREA 2CIFIFYEARCC 2CIFIGLACCINCOA
2CIFIPROFITCENTER 2CIFPSFINPRODE 2CIFPSFINSTMNTSGMT
2CIFPSFNSTMACSCCMPSEGMENT 2CIFPSINDSEG
2CIFPSINDUSTRY
2CIFPSINDUSTRYH
2CIFPSSECURITY 2CIK7LLR2J83AU7015XD1EF M1CO 2CKXMGZBSBDZO64J7YF3 6RKM5BQ 2CRNZN56LFK4BI8WBZPH ATCBZYV 2CFDSMLFL9VEYKKRJ9ZEG F7XR9Q 2CGMA7GRGPU6NMXYBY2 7S66PGIB 2CI0OAJ9GGZL3ANEHM1L9 U0Y5DX 2CKSVOWBDU4HA2UZ1D5X 96CGVM2 2CLQCULSKBC9PMMNYPX7 G1J4HJS 2CLUXFMJWZTJ4S5NGND2 FX371T0
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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTACTSCENCOMPARISON

FPSADDITIONALCUR RENCY4
LOCALCURRENCY

Additional Currency 4 Local Currency

INDEXBASEDCURRENCY

Index-Based Currency

FPSADDITIONALCUR RENCY1

Additional Currency 1

FPSFUNCTIONALCUR RENCY

Functional Currency

FPSBUSTRANSACNOMINAL Key Figure Currency CURRENCY

Name Dimension that only exists in SAC model and not in data source

Additional Notes about the model

Provide additional information about the model if needed

Measures

ELTUIDCMP1

Nominal Amount

ELTUIDCMP10

Add. Currency 2 Amt

ELTUIDCMP11

Add. Currency 3 Amt

ELTUIDCMP12

Add. Currency 4 Amt

ELTUIDCMP13

Tax Base Amount (TC)

ELTUIDCMP14

Tax Base Amount (FC)

ELTUIDCMP15

Nominal Cmprn Amount

ELTUIDCMP16

Comparison Quantity

ELTUIDCMP17

TrCrcy ComprnAmt

ELTUIDCMP18

CmpAmount Func. Crcy

ELTUIDCMP19

Local Curr. CmprnAmt

ELTUIDCMP2

Quantity

ELTUIDCMP20

Group Curr. CmprnAmt

ELTUIDCMP21

Hard Curr. CmprnAmt

ELTUIDCMP22

Index Curr. CmprnAmt

ELTUIDCMP23

AdCrcy 1 Comprn Amt

ELTUIDCMP24

AdCrcy 2 Comprn Amt

ELTUIDCMP25

AdCrcy 3 Comprn Amt

ELTUIDCMP26

AdCrcy 4 Comprn Amt

Connection
2CNKE92RWAC9F2C6QVNB 4DTYRCI
2CNS0C9R10SGP3Z0FANX7 XB5L5Q
2CNZ3ZGYQTQLI0WQ6YA7A QX746R
2CO1BR31VHU8UFLOCBBV6 2J459O
2CO86XGM1ZTNB94F7ETG9 OL6WJ8
2COTWH2LV9OME458J27P G7D3XOX
Assign to #

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTACTSCENCOMPARISON

ELTUIDCMP27 ELTUIDCMP28 ELTUIDCMP29 ELTUIDCMP3 ELTUIDCMP30 ELTUIDCMP31 ELTUIDCMP32 ELTUIDCMP33 ELTUIDCMP34 ELTUIDCMP35 ELTUIDCMP36 ELTUIDCMP37 ELTUIDCMP38 ELTUIDCMP39 ELTUIDCMP4 ELTUIDCMP40 ELTUIDCMP41 ELTUIDCMP42 ELTUIDCMP5 ELTUIDCMP6 ELTUIDCMP7 ELTUIDCMP8 ELTUIDCMP9

Tax Base CmpAmt (TC) Tax Base CmpAmt (FC) Nominal Diff. Amount Trans. Crcy Amount Difference Quantity TrCrcy Diiff.Amt DifAmount Func. Crcy Local Curr. Diff.Amt Group Curr. Diff.Amt Hard Curr. Diff.Amt Index Curr. Diff.Amt AdCrcy 1 Diff. Amt AdCrcy 2 Diff. Amt AdCrcy 3 Diff. Amt Amount in Func. Crcy AdCrcy 4 Diff. Amt Tax Base DifAmt (TC) Tax Base DifAmt (FC) Local Currency Amnt Group Crcy Amnt Hard Crcy Amnt Index Crcy Amnt Add. Currency 1 Amt

Connection

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2.16.3.5 Financial Statement (Scenario/Scenario Comparison)

Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTSCENARIOCOMPARISON

Connection

 Model Description: Model for Financial Statement (Scenario/Scenario Comparison)

 Connection type: Data

 Planning Enabled: no  Model Purpose: This model provides a financial statement, including balance sheet and
profit and loss, of a legal entity and accounting system for two different scenario runs

import from SAP BW (this is the interface used to access CDS Queries) Which system:

Financial products sub

ledger for SAP S/4HANA

 Connection Query: Fi nancial Statement Sce nario Comparison (2CCFPSFNSTMSCNCO MP)

 Connection Variables: Key Date, Accounting Scenario Run, Compari son Accounting Sce nario Run, Legal Entity, Accounting System

Dimensions

Name

Description

FPSSUBLDGRJOURNALEN Journal Entry Number TRY

POSTINGDATE

Posting Date

FPSACCOUNTINGSYSTEM Accounting System

FPSLEGALENTITY

Legal Entity

FPSACCTGSCENPROCESS Process Category CATEGORY

FPSSUBLDGRJOURNALEN Journal Entry Line Item Number TRYITEM

FPSDATABASEPARTITIO NINGNMBR

Partitioning Key

FPSANALYTICCOMPARI SONPART

Analytic Comparison Part

CHARTOFACCOUNTS

Chart of Accounts

COMPANYCODE

Company Code

CONTROLLINGAREA

Controlling Area

FISCALYEAR

Fiscal Year

Mapping
2CHV31J8WNKLUWU3OIP1 NNGR1QN
2CICALENDARDATE
2CIFPSACCSYST
2CIFPSLEGENT
2CL0SJID7HH8H2T51CMR8 04N7GF
2CLVOTP0WQ1GNB7IN4PO AT0YZHL
2CU7GRLURREL XICSNS308ACU02I
2CGTZA53XO3PDKAG9WYA 8Q4IQP8
2CIFICHOFACC
2CIFICOMPANYCODE
2CIFICONTAREA
2CIFIFYEARCC

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTSCENARIOCOMPARISON

FPSGENERALLEDGERAC COUNT

G/L Account Number

PROFITCENTER

Profit Center

FPSFINANCIALPRODUCT Contract

FPSFINANCIALSTATEMENT Financial Statement Segment SEGMENT

SEGMENT

Segment for Segmental Reporting

FPSBUSPARTDISCLINDUS TRY
FPSBUSPARTDISCLIND STRYSYST
FPSSECURITY
GLACCOUNTHIERARCHY

Industry Industry System Financial Instrument ID G/L Account Hierarchy

FPSREPORTINGPRODUCT SEGMENT
FISCALYEARPERIOD

Product Segment (Balance Sheet) Fiscal Year and Period

GROUPCURRENCY

Group Currency

FPSBUSTRANSACTION QUANTITYUNIT
TRANSACTIONCURRENCY

Unit of Measure of a Key Figure Object Currency/Transaction Currency

FPSADDITIONALCUR RENCY3
HARDCURRENCY

Additional Currency 3 Hard Currency

FPSBUSTRANSACNOMINAL Key Figure Currency CURRENCY

INDEXBASEDCURRENCY

Index-Based Currency

FPSADDITIONALCUR RENCY1
FPSADDITIONALCUR RENCY4
FPSFUNCTIONALCUR RENCY

Additional Currency 1 Additional Currency 4 Functional Currency

LOCALCURRENCY

Local Currency

Connection
2CIFIGLACCINCOA
2CIFIPROFITCENTER 2CIFPSFINPRODE 2CIFPSFINSTMNTSGMT
2CIFPSFNSTMSCNCOMPSEGMENT 2CIFPSINDUSTRY
2CIFPSINDUSTRYH
2CIFPSSECURITY 2CKMD9YPEC56IBL7ANKK WUV0YP8 2CLRQ7U2L5DNTSKFGZVAR GRX94Y 2CNZW8TD5E172I30BCQ7G 5AQTFM 2CFHS8VPYP02VA0ZJS0GA H5SMXJ 2CFL2XXGEM WUE9U24LFE06CTFHA 2CI6Y2V62KUBNA7E8QK22 PBLYQM 2CIR1B0VHSL8U7H962GJR YNJ0K7 2CJN2ZJ3YRCQS0HE5U7ED 5G14TH 2CL5MU7SI7UJ3R5Q4762C GMGZB5 2CLFXIX0423I37OFSFZU3K S72CU 2CO3C0XEV576R35IN FVA4IB3H2Z 2CO6H0LXA5PWW5D9W2B P7O07ZG9 2CO JUV9WY3KB1LXXXRZ8F7ZQ H37 2CRLVM9GCB487O9JT85V HFD3YXR

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTSCENARIOCOMPARISON

FPSADDITIONALCUR RENCY2

Additional Currency 2

Name Dimension that only exists in SAC model and not in data source

Additional Notes about the model

Provide additional information about the model if needed

Measures

ELTUIDCMP1

Nominal Amount

ELTUIDCMP10

Add. Currency 2 Amt

ELTUIDCMP11

Add. Currency 3 Amt

ELTUIDCMP12

Add. Currency 4 Amt

ELTUIDCMP13

Tax Base Amount (TC)

ELTUIDCMP14

Tax Base Amount (FC)

ELTUIDCMP15

Nominal Cmprn Amount

ELTUIDCMP16

Comparison Quantity

ELTUIDCMP17

TrCrcy ComprnAmt

ELTUIDCMP18

CmpAmount Func. Crcy

ELTUIDCMP19

Local Curr. CmprnAmt

ELTUIDCMP2

Quantity

ELTUIDCMP20

Group Curr. CmprnAmt

ELTUIDCMP21

Hard Curr. CmprnAmt

ELTUIDCMP22

Index Curr. CmprnAmt

ELTUIDCMP23

AdCrcy 1 Comprn Amt

ELTUIDCMP24

AdCrcy 2 Comprn Amt

ELTUIDCMP25

AdCrcy 3 Comprn Amt

ELTUIDCMP26

AdCrcy 4 Comprn Amt

ELTUIDCMP27

Tax Base CmpAmt (TC)

ELTUIDCMP28

Tax Base CmpAmt (FC)

ELTUIDCMP29

Nominal Diff. Amount

ELTUIDCMP3

Trans. Crcy Amount

ELTUIDCMP30

Difference Quantity

ELTUIDCMP31

TrCrcy Diiff.Amt

ELTUIDCMP32

DifAmount Func. Crcy

ELTUIDCMP33

Local Curr. Diff.Amt

ELTUIDCMP34

Group Curr. Diff.Amt

ELTUIDCMP35

Hard Curr. Diff.Amt

Connection
2CSML6ZLN24HJNDLGIV59 8RBX5L
Assign to #

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Model Name: SAP__FS_FPS_LB_ FINANCIALSTATEMENTSCENARIOCOMPARISON

ELTUIDCMP36

Index Curr. Diff.Amt

ELTUIDCMP37

AdCrcy 1 Diff. Amt

ELTUIDCMP38

AdCrcy 2 Diff. Amt

ELTUIDCMP39

AdCrcy 3 Diff. Amt

ELTUIDCMP4

Amount in Func. Crcy

ELTUIDCMP40

AdCrcy 4 Diff. Amt

ELTUIDCMP41

Tax Base DifAmt (TC)

ELTUIDCMP42

Tax Base DifAmt (FC)

ELTUIDCMP5

Local Currency Amnt

ELTUIDCMP6

Group Crcy Amnt

ELTUIDCMP7

Hard Crcy Amnt

ELTUIDCMP8

Index Crcy Amnt

ELTUIDCMP9

Add. Currency 1 Amt

Connection

2.16.3.6 Model for Rollforward Report

Model Name: SAP__FS_FPS_LB_ROLLFORWARDREPORT

Connection

 Model Description: Rollforward Report

Connection type: Data im

 Planning Enabled: no

port from SAP BW (this is the

 Model Purpose: This model provides data for balance sheet positions of a legal entity interface used to access CDS and accounting system to create a rollforward report for a certain (posting date) period Queries) Which system: Fi nancial products subledger

for SAP S/4HANA

Connection Query: Rollfor ward Report (2CCFPSBAL SHERFWQ)

Connection Variables:

 Mandatory Variables: Legal Entity, Accounting System, Posting Date From, Posting Date To
 Optional Variables: Con tract, Contract Source System, Financial In strument ID, Accounting Change

Dimensions

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Model Name: SAP__FS_FPS_LB_ROLLFORWARDREPORT

Name

Description

POSTINGDATE

Posting Date

FPSACCOUNTINGSYSTEM Accounting System

FPSLEGALENTITY

Legal Entity

FPSRESULTDATAAREA

Results Data Area

FPSDATABASEPARTITIO NINGNMBR

Partitioning Key

FPSACCTGSCENPROCESS Process Category CATEGORY

FPSSUBLDGRJOURNALEN Journal Entry Line Item Number TRYITEM

FPSSUBLDGRJOURNALEN Journal Entry Number TRY

FPSRESULTTYPE

Result Type

FPSFINPRODUCTSOURCE SYSTEM
FISCALYEARPERIOD

Contract Source System Fiscal Year and Period

CHARTOFACCOUNTS COMPANYCODE CONTROLLINGAREA FISCALYEAR FPSGENERALLEDGERAC COUNT PROFITCENTER SEGMENT

Chart of Accounts Company Code Controlling Area Fiscal Year G/L Account Number
Profit Center Segment for Segmental Reporting

FPSBUSPARTDISCLIND STRYSGMT
FPSBUSPARTDISCLINDUS TRY
FPSBUSPARTDISCLIND STRYSYST
FPSSECURITY
FPSFINANCIALPRODUCT

Industry Segment (Balance Sheet) Industry Industry System Financial Instrument ID Contract

FPSREPORTINGPRODUCT Product Segment (Balance Sheet) SEGMENT

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Connection Mapping 2CICALENDARDATE 2CIFPSACCSYST 2CIFPSLEGENT 2CJXIITV0KFJ8ZRJOXGD CIZG0I7 2CLDF1CVKE78P1BUO CYJZE6Q8C6 2CM6S6R7QXU2IB GIZWJW0V74LQF 2COVN8JF0I2KBIS GEZ2LE429SMH 2CPZ5SI1MZPOBA6PZ3AD1 LENI1N 2CTDQL4FG5J20WD6OI6B2 GXSYKS 2CGBC096CTL7Q37E4H1PU IEH71I 2CIDCQFVP JAYSMK2OJI4F2LEPD8 2CIFICHOFACC 2CIFICOMPANYCODE 2CIFICONTAREA 2CIFIFYEARCC 2CIFIGLACCINCOA
2CIFIPROFITCENTER 2CIFPSBALSHERFWC-SEG MENT 2CIFPSINDSEG
2CIFPSINDUSTRY
2CIFPSINDUSTRYH
2CIFPSSECURITY 2CLBYUKN7VCO32ZPAJ MYUIL91AP 2COAR9GDVRULVFNZNFW1 O2LOFZ8

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Model Name: SAP__FS_FPS_LB_ROLLFORWARDREPORT

FPSADDITIONALCUR RENCY1

Additional Currency 1

INDEXBASEDCURRENCY

Index-Based Currency

FPSADDITIONALCUR RENCY2
GROUPCURRENCY

Additional Currency 2 Group Currency

TRANSACTIONCURRENCY Object Currency/Transaction Currency

FPSADDITIONALCUR RENCY3
LOCALCURRENCY

Additional Currency 3 Local Currency

FPSBUSTRANSACNOMINAL Key Figure Currency CURRENCY

FPSBUSTRANSACTION QUANTITYUNIT

Unit of Measure of a Key Figure

FPSADDITIONALCUR RENCY4

Additional Currency 4

FPSFUNCTIONALCUR RENCY

Functional Currency

HARDCURRENCY

Hard Currency

Name Dimension that only exists in SAC model and not in data source

Additional Notes about the model

Provide additional information about the model if needed

Measures

ELTUIDCMP1

Nominal Amount

ELTUIDCMP10

Add. Currency 2 Amt

ELTUIDCMP11

Add. Currency 3 Amt

ELTUIDCMP12

Add. Currency 4 Amt

ELTUIDCMP13

Tax Base Amount (TC)

ELTUIDCMP14

Tax Base Amount (FC)

ELTUIDCMP2

Quantity

ELTUIDCMP3

Trans. Crcy Amount

ELTUIDCMP4

Amount in Func. Crcy

ELTUIDCMP5

Local Currency Amnt

ELTUIDCMP6

Group Crcy Amnt

Connection
2CF7B3KQF638NGP7EJNY6 04TL3W
2CGRDELWE89O59J54VH8 T0V7DI8
2CIB079GH6ZAH WRIYI8EFV2XNIP
2CLGEOZ ZOIUE9S08JJ80NH0GSAZ
2COPVSMVTWD906KR48C1 T4A1GN7
2COWIL6UYXZCH6FMJLAS WN89FCZ
2CQDUJA KAQSI8PZ4ZHOEJ0NDQ9T
2CR3FEECS9OA5E80UD9Z NP9BWEM
2CRS1MHI HEUVL675KXLVJCZEL6X
2CSBP6F9N7QGLQMJILY4D WK523F
2CTGUZ8GESU8R3SQKO5A CVJZVV5
2CU0JEIM84EU ZQUXDK0UT6BBE7Y
Assign to #

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Model Name: SAP__FS_FPS_LB_ROLLFORWARDREPORT

ELTUIDCMP7

Hard Crcy Amnt

ELTUIDCMP8

Index Crcy Amnt

ELTUIDCMP9

Add. Currency 1 Amt

Connection

2.17 Finance - Revenue Accounting and Reporting ContractBased Revenue Recognition
2.17.1 Architecture and Abstract
The Revenue Accounting and Reporting (Contract-Based Revenue Recognition) model and story provides recognized revenue of different dimensions based on the variables, such as company code, accounting principle, display currency, and fiscal year. Architecture

2.17.2 Stories
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2.17.2.1 SAP Finance: Contract Based Revenue Recognition ­ Revenue Analysis (SAP__FI_CRR_RECOG_REVN_ANLYS_LIVE)
The story contains two pages: Recognized Revenue and Recognized Revenue Reporting
A prompt is pop-up when the story page is loaded to inform user to fill in mandatory search criterial including Company Code (single value), Accounting Principle (single value), Display Currency (single value), Fiscal Year (multiple value). Other optional search criterial include Fiscal Period, Customer, Fulfilment Type and Performance Obligation name and they support multiple value.
For example,
 Company Code = 'FARR'  Accounting Principle = 'IFRS'  Display Currency = 'EUR'  Fiscal Year = 2018, 2019
The story page Recognized Revenue consists of the following two lanes:
 Top lane (Header) supplies the selected value of single Company Code and single Accounting Principle and SAP Analytics Cloud logo.
 Lower lane supplies the detail Recognized Revenue KPI referring to the page filter:  Recognized Revenue KPI of selected search criterial in prompt.  A waterfall chart shows how Recognized Revenue is affected by the Revenue from Fulfillment and Revenue Catch-up.  A donut chart shows the proportion of Recognized Revenue per Profit Center.  A line trend shows the Recognized Revenue per Fiscal Year and Posting Period.  A Bar/Column chart shows the Recognized Revenue per Fiscal Year and Business Partner.  A Bar/Column chart shows the Recognized Revenue per Fiscal Year and Performance Obligation Name.  A Bar/Column chart shows the Recognized Revenue per Fiscal Year and Fulfillment Type.
The story page 'Recognized Revenue Reporting' display aggregated recognized revenue by fiscal year, posting period, business partner and performance obligation name using a table chart.
 Note
Recognized revenue within the story is year-to-date revenue. If the current fiscal year is selected, the revenue from beginning the period and current period is supplied. If past fiscal year is selected, the revenue of whole past fiscal year is supplied.

Measure Name Revenue from Fulfillment
Recognized Revenue

Type Calculated Measure

Formula/Properties
Measure [Recognized Revenue] - Meas ure [Revenue Catch-up]
SAP__FI_CRR_LB_RECGDREVN:Recog nized Revenue

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Measure Name Revenue Catch-up

Type

Formula/Properties
SAP__FI_CRR_LB_RECGDREVN:Reve nue Catch-up

2.17.3 Models
The next chapter provides the detailed information about the Model which can be used for creating the Stories.

2.17.3.1 Recognized Revenue (SAP__FI_CRR_LB_RECGDREVN)

Model Name: Technical Name of Model
 Model Description: SAP Contract Based Revenue Recognition: Recognized Revenue
 Planning Enabled: No

Connection
 Connection Type: Direct - SAP HANA Live
 Connection with Authentication Method: SAML Single Sign On
 Connection Name: SAPEMC
 Note
The connection is already con figured between SAP S/ 4HANA Cloud system and SAP Analytics Cloud. For detailed steps, please refer to the Inte grating SAP Analytics Cloud (Choose the version according to SAP S/4HANA version)

 Tip

Measure ID RARecognizedRevnInDspCrcy

Description Recognized Revenue

Please use `SAPEMC' as the connection name (it is im portant that it is entered ex actly as shown).
 Calculation View: C_RAYrToDteR ecgdRevnQuery
Mapping/Formula RARecognizedRevnInDspCrcy

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Model Name: Technical Name of Model

RecgdCatchUpAmtInDspCrcy

Revenue Catch-up

Dimensions

Name

Description

Profit Center

Profit Center

Fiscal Year

Fiscal Year

Posting Period

Posting Period

Business Partner

Business Partner

Performance Obligation Name

Performance Obligation Name

Fulfillment Type

Fulfillment Type

Name Dimension that only exists in SAC model and not in data source

Additional Notes about the model

Provide additional information about the model if needed

 Note
*Private dimension, other dimensions are public.

Connection RecgdCatchUpAmtInDspCrcy
Mapping ProfitCenter FiscalYear FiscalPeriod BusinessPartnerName PerformanceObligationClass PerfOblgnFulfillmentType Assign to #

2.18 Finance: Sales - Revenue Planning
2.18.1 Architecture and Abstract
The package consists of two stories. Both stories are dealing with the planning of measure net revenue for a certain planning period, typically for one calendar year. With story Revenue Target Setting roles from top management first define targets for net revenue.
The roles from the sales organization do the planning against the targets. Goal for the planner is to achieve a reasonable plan that meets the target. This process can be iterative, i.e. sales planner might realize that targets can't be meet. In this case target planner might adapt targets and sales planning starts again.
Both stories share the same model (SAP__FI_SALES_REV_PLAN). Data is imported in this model from system S/4HANA On-Premise or from S/4HANA Cloud. In case of S/4HANA On-Premise query Journal Entry Analyser (2CCFIGLLITMQ0001) is used. If data is imported from a S/4HANA Cloud system, the OData service API_JOURNALENTRYITEMBASIC_SRV should be taken. Prices are imported from a local file.
Architecture

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2.18.2 Stories
The next chapters provide an overview of the stories used for Finance: Sales - Revenue Planning.
2.18.2.1 Sales ­ Revenue Target Setting (SAP__FI_SALES_REV_TARGET)
With this story, targets for the planning period are planned. The planner has the option to copy the actual net revenue of the previous year as a baseline to the target column by clicking the button Copy Actual* PY to Target. In the background data action SAP__FI_SALES_COPY_ACT_TO_TGT is processed. The planner can compare the target numbers also against the planned numbers of the current planning period, for example, in case the target planner needs to adapt the targets (iteration). A second chart in the story shows the history of targets and actual net revenue together with the difference between these measures.

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2.18.2.2 Sales ­ Revenue Planning (SAP__FI_SALES_REV_PLANNING)
With this story, the sales planner does the planning against the targets. Starting point is to copy either the actual net revenue of the year before the current planning period or the net revenue targets of the current planning period to create a baseline for the planning process. This copy process is triggered by the buttons Copy Actual* 2018 or Copy Targets 2019. In the background, the data actions SAP__FI_SALES_COPY_ACT or SAP__FI_SALES_COPY_TGT are triggered.
After the creation of a baseline, the planning of current period starts.

2.18.3 Models
There are three models.

2.18.3.1 C4C Service Cloud - Tickets (SAP__CRM_SRV_IM_TICKETS)

This is the main model of this content and provides most of the relevant drill-in dimensions and performance measures.

Model Name: SAP__CRM_SRV_IM_TICKETS
 Model Description: SAP CRM: C4C Service Cloud - Tickets  Planning Enabled: Yes

Account ID Lead_Time_s Number_of_Interaction_Steps Age_s Total_Time_at_Processor_s Total_Time_at_Processor_s Number_of_Response_Cycles Total_Response_Duration_s Number_of_Missed_Responses

Description Lead Time (s) Number of Interaction Steps Age (s) Total Time at Processor (s) Total Time at Requestor (s) Number of Response Cycles Total Response Duration (s) Number of Missed Responses

Connection
 Connection type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 Connection Query: Custom Query based on Data source CRMSRQHB
Formula/Mapping Lead_Time_s Number_of_Interaction_Steps Age_s Total_Time_at_Processor_s Total_Time_at_Requestor_s Number_of_Response_Cycles Total_Response_Duration_s Number_of_Missed_Responses

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Model Name: SAP__CRM_SRV_IM_TICKETS

Number_of_Tickets
Number_of_Tickets_Com pleted_on_Schedule
Average_Lead_Time

Number of Tickets
Number of Tickets Completed on Schedule
Average Lead Time (days)

Average_Age

Average Age (days)

Tickets_Open

Tickets Open

Tickets_InProcess

Tickets In Process

Tickets_InEscalation

Tickets In Escalation

Avg_Time_at_Processor_s
Avg__Time_at_Requestor_s
Avg_response_duration
Dimensions ID Time
Service_Organization_ID_ID Source_ID Escalation_Status_ID Lifecycle_Status_ID Ticket_Solution_Status_ID Status_ID Account_ID Ticket_ID Agent_ID Reported_By_ID Sales_Unit_ID Service_and_Support_Team_ID Affected_Product_Category_ID Product_ID

Average Time at Processor (days)
Average Time at Requestor (days)
Average Response Duration (days)
Description Time
Service Organization Source Escalation Status Lifecycle Status Ticket Solution Status Status Account Ticket Agent Reported By Sales Unit Service and Support Team Affected Product Category ID Product

Connection
Number_of_Tickets Number_of_Tickets_Com pleted_on_Schedule ([Lead_Time_s]/[Number_of_Tick ets])/(3600*24) ([Age_s]/[Number_of_Tickets])/(3600 *24) LOOKUP([Number_of_Tickets] ,[d/ Lifecycle_Status_ID]="1" ) LOOKUP([Number_of_Tickets] ,[d/ Lifecycle_Status_ID]="2") LOOKUP([Number_of_Tickets] , [d/ Lifecycle_Status_ID]=("1","2")and [d/ Escalation_Status_ID]="2") ([Total_Time_at_Processor_s]/[Num ber_of_Tickets])/(3600*24) ([Total_Time_at_Requestor_s]/[Num ber_of_Tickets])/(24*3600) ([Total_Response_Duration_s]/[Num ber_of_Tickets])/(24*3600)
Mapping Created on ­ filter on current and previ ous year Service_Organization_ID_ID Source_ID Escalation_Status_ID Lifecycle_Status_ID Ticket_Solution_Status_ID Status_ID Account_ID Ticket_ID Agent_ID Reported_By_ID Sales_Unit_ID Service_and_Support_Team_ID Affected_Product_Category_ID Product_ID

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Model Name: SAP__CRM_SRV_IM_TICKETS

Connection

Contract_ID_ID

Contract

Contract_ID_ID

Service_Category_ID_ID

Service Category

Service_Category_ID_ID

Contract_Status_ID

Contract Status

Contract_Status_ID

Priority_ID

Priority

Priority_ID

Completion_Date_ID

Completion Date

Completion_Date_ID

Additional Notes about the model

This model uses only local dimensions. Master data is uploaded during transactional data upload.

2.19 Group Reporting Planning for S/4HANA 2.19.1 Architecture and Abstract
The Group Reporting Planning model, stories and data actions support profit and loss (P&L) planning and balance sheet planning with option to plan by partner consolidation unit.

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2.19.2 Models

Group Reporting Planning (SAP__FI_GRP_IM_GROUP_REPORTING) Model Name: SAP__FI_GRP_IM_GROUP_REPORTING
- Model Description: Group Reporting Planning - Planning Enabled: yes

Connection
- SAP S/4HANA Import Connection "FP&A"
- OData Services Import Connection
SAP - GRTRANSACTIONDATA
 Note
Communications Scenario 0370 (Finance - Group Reporting Plan ning Integration) configured on SAP S/4HANA instance.

Account Dimension ID MEASURE* Dimensions Name
Date

Description Measure
Description Time

Mapping/Formula n.a.
Mapping/Formula n.a.

SAP_FI_GRP_FSITEM

Financial Statement Item

FSITEMATTRIBBYTIMEVERSION

SAP_FI_GRP_PRTNRCONSUNIT

Partner Consolidation Unit

PARNTERCNSLDTNUNIT

SAP_FI_GRP_FUNCTIONALAREA

Functional Area

FUNCTIONALAREA

SAP_FI_GRP_CONSUNIT

Consolidation Unit

CONSOLIDATIONUNIT

Key Custom Properties of SAP_FI_GRP_FSITEM

Name

Description

Calc Method

Cash balancing FS Item is manually labelled as "CHANGING_CASH".

Other FS Items that are calculated, rather than inputted, are manually labelled as "CHANGING_CALC".

Counter Account Partner Input

Used for Depreciation/Amortization FS Items whose results are transferred to ac cumulated Depreciation/Amortization FS Items
FS Items which can be planned by Partner within the planning input story are manually labelled as "PARTNER_INPUT"

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Model Name: SAP__FI_GRP_IM_GROUP_REPORTING

Connection

FS Item Role

Populated by the master data import. "S-ANI-PL" represents the negation of Net Income in Actuals (ACDOCU). "S-ANA-BS" represents Net Income in the Balance Sheet (Actuals, ACDOCU). These two labels are used by the Data Actions related to Actuals only.

Transaction Data Mapping

Name

Description

GRTRANSACTIONDATA Freehand Query

Group Reporting Transaction Data
GRTransactionData(P_ConsolidationUnitHierId='$',P_ConsolidationPrftCtr HierId='$',P_ConsolidationSegmentHierId='$',P_KeyDate=dateti me'2021-01-01T00:00:00')/Results?$select=FiscalYearPeriod,ConsolidationU nit,FinancialStatementItem,FinancialTransactionType,FunctionalArea,Partner ConsolidationUnit,AmountInLocalCurrency&$filter=ConsolidationVersion eq 'Y10' and PeriodMode eq 'PER' and ConsolidationGroup eq '' and FiscalYear eq '2021' and (startswith(PostingLevel , '0') or startswith(PostingLevel , '1'))

2.19.3 Stories
Stories for Group Reporting Planning  - SAP Finance: GRP - Group Reporting Planning Administration
(SAP__FI_GRP_IM_GROUP_REPORTING_ADMIN)  - SAP Finance: GRP - Group Reporting Planning (SAP__FI_GRP_IM_GROUP_REPORTING_PLANNING)  - SAP Finance: GRP - Group Reporting Planning Reports
(SAP__FI_GRP_IM_GROUP_REPORTING_REPORTS)

Group Reporting Planning Administration (SAP__FI_GRP_IM_GROUP_REPORTING_ADMIN)
This story allows the planner to create sample data and perform data actions for the planning scenarios. This story uses the following data actions - Calculate Balance Sheet Changing SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CHANGING - Calculate Balance Sheet Closing SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CLOSING - Clear Version (SAP__FI_GRP_IM_GROUP_REPORTING_CLEAR_VERSION) - Copy P&L and Balance Sheet from Actuals

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(SAP__FI_GRP_IM_GROUP_REPORTING_COPY_ACTUALS) - Create Sample Data for Actuals (SAP__FI_GRP_IM_GROUP_REPORTING_CREATE_SAMPLE_DATA) - Prepare Actuals (SAP__FI_GRP_IM_GROUP_REPORTING_PREPARE_ACTUALS)

Group Reporting Planning (SAP__FI_GRP_IM_GROUP_REPORTING_PLANNING)
This story has tabs for profit & loss planning with hierarchy, profit & loss planning with partner, balance sheet planning, balance sheet planning with partner and balance sheet reporting. It allows the planner to perform planning functions to copy last year's actuals and carry forward the balance sheet. This story uses the following data actions - Calculate Balance Sheet Changing SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CHANGING - Calculate Balance Sheet Closing SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CLOSING - Copy P&L and Balance Sheet from Actuals (SAP__FI_GRP_IM_GROUP_REPORTING_COPY_ACTUALS)

Group Reporting Planning Reports (SAP__FI_GRP_IM_GROUP_REPORTING_REPORTS)
This story has tabs for profit & loss and balance sheet. The reports allow the planner to analyze several views of profit & loss and balance sheet including filtering by consolidation unit, partner consolidation unit, and functional area.

2.19.4 Data Actions

Data Actions for Financial Statement Planning
 Calculate Balance Sheet ChangingSAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CHANGING  Calculate Balance Sheet Closing SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CLOSING  Clear Version (SAP__FI_GRP_IM_GROUP_REPORTING_CLEAR_VERSION)  Copy P&L and Balance Sheet from Actuals (SAP__FI_GRP_IM_GROUP_REPORTING_COPY_ACTUALS)

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 Create Sample Data for Actuals (SAP__FI_GRP_IM_GROUP_REPORTING_CREATE_SAMPLE_DATA)  Prepare Actuals (SAP__FI_GRP_IM_GROUP_REPORTING_PREPARE_ACTUALS)

Calculate balance sheet changing (SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CHANGING)
Carry forward balance amounts to the next periods after manual changes to the closing balance amounts and performs calculations for Cash Balance and Accumulated Depreciation/Amortization.

Calculate balance sheet closing (SAP__FI_GRP_IM_GROUP_REPORTING_CALC_BS_CLOSING)
Carry forward balance amounts to the next periods after manual changes to the changing balance amounts and performs calculations for Cash Balance and Accumulated Depreciation/Amortization.

Clear Version (SAP__FI_GRP_IM_GROUP_REPORTING_CLEAR_VERSION)
Delete a complete version. Can be applied to actual and plan versions.

Copy actual amounts to plan (SAP__FI_GRP_IM_GROUP_REPORTING_COPY_ACTUALS)
Copy the last year actual net income and balance sheet amounts to plan version as a starting point for planning. Before that, delete all P&L and balance sheet plan amounts.

Create sample data (SAP__FI_GRP_IM_GROUP_REPORTING_CREATE_SAMPLE_DATA)
Create sample data for the actual version.

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Prepare actuals (SAP__FI_GRP_IM_GROUP_REPORTING_PREPARE_ACTUALS)
Fill out the balance sheet by populating closing and opening values for the balance sheet accounts based upon the opening and changing transaction values loaded. Populate the opening values for P&L with zero and set the closing values equal to changing.

2.20 HR Analytics for S/4HANA Cloud and SAP SuccessFactors (SAP BEST PRACTICES)
2.20.1 HR Analytics for S/4HANA Cloud and SAP SuccessFactors (SAP BEST PRACTICES)
SAP Best Practices: HR Analytics for S/4HANA Cloud and SAP SuccessFactors for SAP S/4HANA Cloud is made up of three components. For further information, follow the dashboards mentioned below.
 Workforce Overview and Workforce Diversity This dashboard visualizes key measures based on data from SAP SuccessFactors. Prebuilt charts provide insights into Headcount and FTE trends, staff in management, turnover rates, and the diversity of workforce in terms of gender, tenure and generations, as well as contract types and span of control.
 Workforce Performance This dashboard visualizes key measures based on data from SAP S/4HANA Cloud and SAP SuccessFactors. KPIs for Total Workforce Ratio, Financial Expenses per FTE, Financial Actual, and Plan data by Cost Center are brought together with HR-related measures such as Headcount and Positions by Cost Center.
 Finance Overview This dashboard visualizes key measures based on data from SAP S/4HANA Cloud. Prebuilt charts show Balance Sheet, Net Income, and Cash Flow data as well as a Financial Statement table.
Find all the details and documentation about this content in the SAP Best Practices Explorer -HR Analytics S4/ HANA and SAP Success Factors

2.21 Human Resources (HR)
2.21.1 Architecture and Abstract
The Human Resources Boardroom shows the Company's Headcount and Staff related information for the current year. Due to the generic nature of HR, this content can be reused across multiple industries. The Human Resources Boardroom is built based on SAP Success Factors ODATA APIs. SAP Analytics Cloud provides a connector to SAP Success Factors.

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The SuccessFactors API Documentation can be found here: SAP SuccessFactors HCM Suite OData API: Reference Guide.
A simple Chinese version of the content exists for the following stories:  SAP__HR_GEN_HR  SAP__HR_GEN_RECRUITMENT
All objects are copied added the postfix _ZH.
SAP__HR_GEN_HR copied to SAP__HR_GEN_HR_ZH
SAP__HR_GEN_RECRUITMENT copied to SAP__HR_GEN_RECRUITMENT_ZH and translated into simple Chinese.
The underlying models have also been copied and the postfix _ZH is added.
The following text describes how to deal with the English version. The simple Chinese version can be mapped to and filled analogously.
Architecture
The building blocks are as shown.

The objects highlighted in green are added with CI10. For CI11, objects in yellow are copied to <original name>_ZH. The _ZH objects including screen elements and data is translated into Chinese The building blocks are as shown. The current usage in Industries is listed below:

Industry SAP Chemicals

Story SAP__HR_GEN_HR

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Industry SAP Consumer Products SAP Public Sector SAP Engineering, Construction and Operations SAP Public Services: Higher Education and Research SAP Oil & Gas SAP Utilities SAP Mill Products SAP Mining

Story SAP__HR_GEN_HR SAP__PS_HR_BOARDROOM* SAP__HR_GEN_HR SAP__PS_HER_HR* SAP__HR_GEN_HR, SAP__HR_GEN_RECRUITMENT SAP__HR_GEN_HR, SAP__HR_GEN_RECRUITMENT SAP__HR_GEN_HR, SAP__HR_GEN_RECRUITMENT SAP__HR_GEN_HR, SAP__HR_GEN_RECRUITMENT

 Note
*Please note that in SAP__PS_HR_BOARDROOM and SAP__PS_HER_HR, country related content is replaced by Division.

2.21.2 Dashboard
SAP_HR_AGENDA

2.21.3 Stories
2.21.3.1 SAP__HR_GEN_HEADCOUNT
Name: SAP__HR_GEN_HEADCOUNT
Description: SAP Human Resources: EC ­ Headcount The model that is used is SAP__HR_GEN_IM_EC_HEADCOUNT Page ­ Overview This page provides an overview of the HR figures in the organization for the current year. Page ­ Current Headcount The page is divided into a top and a bottom portion. Select a measure and a dimension to drive the heatmap. Linked analy sis is enabled. If one data point is selected in the heatmap, the rest of the charts will update accordingly. Also, there is a hyperlink enabled, which will hand over the filters to a detailed list of employees on the last page. Below, a measure can be selected and the average and median can be compared in both charts. The scatterplot below compared the average seniority and average potential where each bubble stands for a dimension member. The bubble size indicates the current headcount.

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Page ­ Hires and Terminations
At the top of the page, a hire year, termination year, and measure have to be selected. Every employee has a hire year and every employee that has left the company has a termination year.
In order to see Hires and Terminations for the current year, 2018 has to be selected in both selections. The left pane gives an overview of the selection that was made. Linked analysis is enabled again. Selecting one country on the world map or one cell in the treemap will filter the remaining charts. In the treemap, the manager hierarchy allows for a drilldown in to different teams.
SAP__HR_GEN_HR
Name: SAP__HR_GEN_HR
Description: SAP Human Resources: General Please note that unless explicitly mentioned for a chart, the model used is SAP__HR_GEN_IM_HEADCOUNT Page ­ Overview This page provides an overview of the HR figures in the organization for the current year. Charts Workforce Contains the following KPIs related to FTE: Current FTE, Average Age at Joining, Average Age at Leaving, Turnover Ratio, and Part-time FTE. Headcount Movement Shows the FTE count at the beginning of the year, hires and exits count YTD, and Current FTE count. Succession Management This tile shows Employee succession path through the following KPIs in FTE Count, Managers, Future Managers, New to Position, and High Impact of Loss. Gender Diversity Shows the split between Male and Female FTE. Age Diversity Shows the age distribution across the organization and the average employee age. Average Tenure vs Performance of Exits This graph shows the performance of the employees that exit and how was their tenure with the organization. This chart gives an understanding of whether the better performing employees find the organization attractive and stay beyond the years defined as Loyal to the company. Employee Engagement Index Shows the Employee engagement index across countries for the current year. This chart is based on model SAP__HR_SUR VEY_IM_RESULTS. Model linked to SAP__HR_GEN_HR through country.

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Page ­ Detail
This page forms the content screen for the Human Resources Boardroom. Aim of the content screen is to provide detail information on granularity of Country and Business Area. Page level filters are provided for Country and Business Area. Charts Distribution by Country A tree map showing the distribution of FTE across Countries. Distribution by Area A tree map showing distribution of FTE across Business Areas. Diversity - Women in Management This tile shows the total number of women in management and their distribution across countries. Navigation: Page ­ Context-Diversity Hire and Attrition Trend This chart shows the hires and terminations over the years. Navigation: Page, Context, and Movement and Performance Average Salary This chart shows average salaries in the different countries. Navigation: Page, Context-Salary Timeoffs
This tile shows the total number of days off and the breakdown of the days off by timeoff type. Model used SAP__HR_LEAVES_IM_LOA: Model linked to SAP__HR_GEN_HR through user. Training Spends
This tile shows the total amount spent in training and the breakdown by courses. Model used SAP__HR_COURSES_IM_SUMMARY: Model linked to SAP__HR_GEN_HR through user. Page - Context
This page forms the context screen for the Human Resources Boardroom by default. However, navigations are provided by various charts in the Detail page to other context screens as well. The purpose of this screen is to show the Employee Survey Results. Charts Employee Survey Results This heat map shows the survey results of the different survey indicators across different countries. Employee Engagement Index This chart shows the Employee Engagement Index for the current year across countries and the deviation from the previ ous year.

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Page ­ Context-Salary This page shows further details about salary distribution. There are page level filters for Country and Job Classification. Charts Average Salary per Country This chart shows average salaries in the different countries. Headcount per Job Classification This chart shows the distribution of headcount by Job Classification. Average Salary for Job Titles This chart shows the average salary for each Job Title grouped by country and Job Classification. Page ­ Context-Salary This page shows further details about salary distribution. There are page level filters for Country and Job Classification. Charts Average Salary per Country This chart shows average salaries in the different countries. Headcount per Job Classification This chart shows the distribution of headcount by Job Classification. Average Salary for Job Titles This chart shows the average salary for each Job Title grouped by country and Job Classification. Page - Context-Diversity This page provides further details about different diversity parameters in the company. The page filters are Country and Gender. Charts Gender Diversity This chart shows the male and female employees. Ethnic Diversity Ethnic distribution of FTE Age Diversity This chart shows the age distribution across the organization and the average employee age. Navigation: Page ­ Context Marital Status This chart shows married and single employees. Succession Management This chart shows the current managers and future managers. Page ­ Context - Movement & Performance This page provides additional information regarding Headcount movement and Employee performance. Page filters are Country and Job Classification.

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Page ­ Context-Salary Charts Workforce This chart shows KPI tiles for Current FTE, FTE having high impact of loss and turnover ratio for the current year. Headcount Movement This chart shows the FTE count at the beginning of the year, hires, and exits count YTD and Current FTE count. Employee Exits vs Performance The Performance of Employees that left the organization this year. Reason for Leaving This chart shows the reasons for leaving for exited employees. Average Tenure vs Performance of Exits This graph shows the performance of the employees that exit and how was their tenure with the organization. This chart gives an understanding of whether the better performing employees find the organization attractive and stay beyond the years defined as Loyal to the company. Performance Distribution This chart shows the distribution of Performance of employees for the current year. Navigation: Page ­ Context

2.21.3.2 SAP__HR_GEN_RECRUITMENT
Name: SAP__HR_GEN_RECRUITMENT Description: SAP Human Resources: Recruitment Please note that the model used is SAP__HR_GEN_IM_RECRUITMENT Page ­ Overview This page provides an overview of Recruitments in the selected job posting period. Charts Recruitment Overview This chart contains the following KPIs related to Recruitment: Positions Posted, Job Requisitions, Number of Applications, Hires, Position fulfilment ratio, Application Conversion Ratio, Days to Fill (Average), and Days to Start (Average). Job Requisitions This chart shows the trend of Job postings on granularity of month for the selected job posting period Requisitions per Country This treemap shows the distribution of requisitions by country. Requisitions per Department This treemap shows the distribution of requisitions by department.

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Name: SAP__HR_GEN_RECRUITMENT
Positions per Country This chart shows the number of jobs posted, number of hires, and the Position fulfilment ratio per country. Recruitment Sources This chart shows the different recruitment sources and the applications, hires, and application conversion ratio for each source. Gender Distribution This chart shows the gender distribution of applicants and hires. Page ­ Detail
This page forms the content screen for the Recruitment Agenda Item.
Aim of the content screen is to provide detail information on granularity of country and department based on a selected job posting period. Page level filters are provided for country, department and job posting period.
This page shows how the different modes of Recruitment are performing, Internal Candidates, External Candidates, and Referrals and Agencies in 4 swim lanes.
Charts Internal Candidates This chart shows KPIS for Internal Applications, Internal hires, and Conversion rate. The internal hire distribution is shown by department and by paygrade. External Candidates This chart shows KPIS for External Applications, External hires, and Conversion rate. The external hire distribution is shown by department and by paygrade. Employee Referrals This chart shows KPIs for number of referrals, successful referral, and conversion ratio. For each department, the number of job requisitions and number of referrals are shown. Agency Placements This chart shows KPIs for number of agencies, candidates proposed through agencies, successful hires, and conversion ratio. For each agency, the no. of proposed candidates and hires are shown. Page ­ Context This page forms the context screen for Recruitment Agenda item. The purpose of this screen is to provide more information on the Job requisitions posted. Charts Talent Pipeline This tile shows the number of applicants in different phases of the recruitment process. The phases are customizable in SuccessFactors. Hires This chart shows the number of hires each year for the job posting period selected. Job Requisitions

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Name: SAP__HR_GEN_RECRUITMENT This chart shows the number of job requisitions posted each year for the job posting period selected. It is possible to navi gate to the explorer from this chart to do free style analysis. Lead Times per Department This chart shows the average Days to Fill and Days to Start per department. Positions per Pay Grade This chart shows for each Paygrade, the number of postings, applications and hires. Full Time vs Part-time Positions For each department, this chart shows the number of postings for full time and part time employees. Lead Times per Job Classification This chart shows the average Days to Fill and Days to Start per job classification. Positions per Job Classification This chart shows the postings, applications, and hires for each job classification. Regular vs Temporary Positions This chart shows the postings for regular and temporary positions for each department.

2.21.4 Models
For all the models mentioned for HR, all the public dimensions mentioned should be manually filled with master data based on SuccessFactors before models can be loaded.

2.21.4.1 (SAP__HR_GEN_IM_EC_HEADCOUNT)

Model Name: SAP__HR_GEN_IM_
EC_HEADCOUNT

Connection

 Model Description: SAP Human Resources: EC Headcount
 Planning Enabled: No

 Connection type: Get data from an App  Which system: SuccessFactors  Connection Query: Job Information (SFSF EC - EmploymentInformation > EmpJob)

How to import data into the model

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Model Name: SAP__HR_GEN_IM_

EC_HEADCOUNT

Connection

The model and the Public Dimensions come with some predefined data import jobs.
1. Update the credentials in the connection SAPSFSF. 2. Import the master data into the Public Dimensions by running the predefined import jobs. 3. Import the transactional data into the model by running the predefined import job. 4. If both ran successfully, the import jobs into the public dimensions can be concatenated. This dependency would make
sure that the master data is consistent first before the transactional data is being imported.

Account Measure ID FTE BIRTHYEAR HIREYEAR TERMINATIONYEAR SENIORITYSTART PERFORMANCE POTENTIAL Transactional data import Dimension ID

ID Mapping

Fte

userNav/dateOfBirth

employmentNav/startDate

employmentNav/endDate

employmentNav/seniorityDate

userNav/performance

userNav/potential

Public Dimensions import

ID Mapping

Description Mapping

HIREDATE

employmentNav/startDate

Location: LOCATION

locationNav/externalcode

Country of Company: COUN countryofcompany TYOFCOMPANY

Additional Property Map ping

User: SAP_HR_GEN_USER userNav/userId

userNav/firstName userNav/lastName

Business Area: SAP_ALL_BUSINESSAREA

businessUnitNav/external code

businessUnitNav/name

Company Code:

companyNav/externalcode

SAP_ALL_COMPANY_CODE

companyNav/name

Cost Center: SAP_ALL_COSTCENTER

costCenterNav/externalCode costCenterNav/name

userNav/username: jobTitle
Parent: userNav/manager/ userId

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Model Name: SAP__HR_GEN_IM_

EC_HEADCOUNT

Connection

Department: SAP_HR_USER_DEPART MENT

departmentNav/external code

Division: SAP_HR_USER_DI divisionNav/externalcode VISION

Employment Status: SAP_HR_EMPLSTATUS
Ethnicity: SAP_HR_USER_ETHNICITY

emplStatusNav/external Code
userNav/ethnicity

Future Leader: SAP_HR_USER_FUTURE LEADER

userNav/futureLeader

Gender: SAP_HR_USER_GENDER

userNav/gender

Impact of Loss: SAP_HR_USER_LOSSIM PACT

userNav/impactOfLoss

Is Contingent Worker: SAP_HR_ISCONTINGENT

employmentNav/isContin gentWorker

Fulltime: SAP_HR_USER_IS isFulltimeEmployee FULLTIME

Job Classification: SAP_HR_USER_JOBCLASSI FICATION

jobCodeNav/externalCode

Location: SAP_HR_LOCA TION_COUNTRY

locationNav/externalcode

departmentNav/name divisionNav/name
jobCodeNav/name locationNav/name

New to Position: SAP_HR_USER_ISNEWTO POSITION

userNav/newToPosition

 locationNav/geozo neFlxNav/name
 locationNav/address NavDEFLT/country
 locationNav/location GroupNav/name

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Model Name: SAP__HR_GEN_IM_

EC_HEADCOUNT

Connection

Pay Grade: SAP_HR_USER_PAYGRADE

payGradeNav/externalCode payGradeNav/name

Performance: SAP_HR_USER_PERFORM ANCE

userNav/performance

Potential:

userNav/potential

SAP_HR_USER_POTENTIAL

Reason For Leaving: SAP_HR_USER_REASON FORLEAVING

userNav/reasonForLeaving

Seniority Start Date:

employmentNav/seniority Day

SAP_HR_SENIORITYSTART Date

DATE

Termination Date: SAP_HR_TERMINATION DATE

employmentNav/endDate Day

Note 1: Time handling

Month Year
Month Year

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Model Name: SAP__HR_GEN_IM_
EC_HEADCOUNT

Connection

Seniority Start Date
First, import data into the public dimension:
 Map Seniority Start Date to ID  Duplicate Seniority Start Date  Split on "-" repeat "2"  Assign day to description, month to month and year to year
When importing transactional data:
 Assign Seniority Start Date to dimension ID SAP_HR_SENIORITYSTARTDATE  Duplicate Seniority Start Date  Split on "-"  Assign Year to measure SENIORITYSTART  Delete residual
Termination Date
First, import data into the public dimension:
 Map Termination Date to ID  Duplicate Termination Date  Split on "-" repeat "2"  Assign day to description, month to month and year to year
When importing transactional data:
 Assign Termination Date to dimension SAP_HR_TERMINATIONDATE  Duplicate Termination Date  Split on "-"  Assign Year to measure TERMINATIONYEAR  Delete residual
Hire Date
 Assign Hire Date to Time  Duplicate Hire Date  Split on "-"  Assign Year to measure HIREYEAR  Delete residual
Note 2: Geo handling
The SuccessFactors OData API does not deliver Geo coordinates. In order to update the latitude and longitude values, an excel file with those values needs to be updated and they need to be mapped.

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2.21.4.2 General - Headcount (SAP__HR_GEN_IM_HEADCOUNT)

Model Name: SAP__HR_GEN_IM_HEADCOUNT
 Model Description: SAP Human Resources: General - Headcount  Planning Enabled: No

Headcount Account ID FTE Salary Starting Salary WeeklyHours DaysWeekly BirthYear HireYear LeaveYear Joining Age Leaving Age Tenure AverageTenure CurrentFTE
NewHires CurrentExits
LeftEmployees

Description Entire FTE
Standard Weekly Hours Working days per week Year of Birth Hire Year Leaving Year Joining Age Leaving Age Tenure Average Tenure Current FTE
New Hires Current Exits
Left Employees

Connection
 Connection type: Get data from an App
 System: SuccessFactors  Connection Query: Template Query
Headcount, with the additional di mensions Hire Date, Gender and IsShift: IsShift can be found in the Job Information  Hire date and Gender can be found on the left hand side to find user Nav and expand User, then drag Hire Date and Gender into the query.
Formula/Mapping FTE userNav>User>Salary userNav>User>Starting Salary Standard Weekly Hours Working Days per Week Please see Note1 Please see Note1 Please see Note1 [HireYear] -[BirthYear] [LeavingYear] - [BirthYear] [LeavingYear] -[HireYear] [Tenure] / [LeftEmployees] LOOKUP([FTE]) where terminationyear =2099 LOOKUP([FTE]) where hireyear = 2017 LOOKUP([FTE]) where terminationyear = 2017 LOOKUP([FTE]) where terminationyear < 2099

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Model Name: SAP__HR_GEN_IM_HEADCOUNT

Connection

Managers

LOOKUP([CurrentFTE]) where jobclas sification =("EXEC","IT-DIR","MKTDIR","President","VP-IT")

FTEStartCurrentYear

FTE Year Beginning

LOOKUP([FTE]) where hireyear < 2017 AND terminationyear = ("2017","2099")

Dimensions

ID

Description

Mapping

Time*

Time

userNav>User> Hire Date, also see Note 1

User

SAP_HR_GEN_USER

User ID

BirthDate

SAP_HR_USER_BIRTHDATE

userNav>User>Date of Birth

Birthyear

SAP_HR_USER_BIRTHYEAR

Please see Note1

Department

SAP_HR_USER_DEPARTMENT

Department

Division

SAP_HR_USER_DIVISION

Division

Ethnicity

SAP_HR_USER_ETHNICITY

Ethnicity

FutureLeader

SAP_HR_USER_FUTURELEADER

userNav>User>FutureLeader

Gender

SAP_HR_USER_GENDER

Scroll down and add user Nav>User>Gender

HireYear

SAP_HR_USER_HIREYEAR

Please see Note1

Fulltime

SAP_HR_USER_ISFULLTIME

Is Fulltime Employee

NewToPosition

SAP_HR_USER_ISNEWTOPOSITION userNav>User>New To Position

IsShift

SAP_HR_USER_ISSHIFT

Open Job Information and add Is Shift Employee

Job Classification

SAP_HR_USER_JOBCLASSIFICATION Job Classification

Job Title

SAP_HR_USER_JOBTITLE

Job Title

Impact Of Loss

SAP_HR_USER_LOSSIMPACT

userNav>User>Impact of Loss

Manager

SAP_HR_USER_MANAGER

ManagerUserNav>User>User ID

Married

SAP_HR_USER_MARRIED

userNav>User>Married

PayGrade

SAP_HR_USER_PAYGRADE

PayGradeID

Performance

SAP_HR_USER_PERFORMANCE

userNav>User>Performance

Potential

SAP_HR_USER_POTENTIAL

userNav>User>Potential

ReasonForLeaving

SAP_HR_USER_REASONFORLEAVING userNav>User>ReasonForLeaving

Termination Date

SAP_HR_USER_TERMINATIONDATE userNav>User>Termination Date

Termination Year

SAP_HR_USER_TERMINATIONYEAR Please see Note1

Legal Entity

SAP_ALL_COMPANY_CODE

Business Unit

Country

SAP_ALL_COUNTRY

Country

Headcount Account*

SAP_HR_HEADCOUNTACCOUNT

Company

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Model Name: SAP__HR_GEN_IM_HEADCOUNT Note 1

Connection

 Note
 Date handling needs some workarounds in SAP Analytics Cloud.  userNav>User> Hire Date in SuccessFactors ­ Let's say column [userNav/User/Hire Date]

Action

Result

Click on Hire Date and go from the Card View to the Column View

Split [userNav/User/Hire Date] on " " repeat "1"

Column [userNav/User/Hire Date] only has the Hire Date Column [userNav/User/Hire Date_2] has the Hire Time

Duplicate [userNav/User/Hire Date]

Column [userNav/User/Hire Date_3] is created with Hire Date

Split [userNav/User/Hire Date_3] on "-" repeat "1" Duplicate [userNav/User/Hire Date_3]

Column [userNav/User/Hire Date_3] has the Year Column [userNav/User/Hire Date_3_2] has the month and days
Column [userNav/User/Hire_Date_3_3] is created

Optional: delete unnecessary columns: Delete [userNav/User/Hire Date_2] Delete [userNav/User/Hire Date_3_2] Go back into the card view.

Map Time in the model to column [userNav/User/Hire Date]
Map Account HireYear in the model to column [userNav/ User/Hire Date_3]
Map Dimension HireYear in the model to column [userNav/ User/Hire Date_3_3]

In a similar way:
 userNav>User>TerminationDate columns should be mapped to account LeaveDate and dimension Termination Date  userNav>User>Date of Birth columns should be mapped to account BirthDate and Dimension BirthDate

 Note
* Private dimension and other dimensions are public.

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2.21.4.3 SAP Human Resources: Courses - Summary (SAP__HR_COURSES_IM_SUMMARY)

Model Name: SAP__HR_COURSES_IM_SUMMARY
 Model Description: SAP Human Resources: Courses - Summary  Planning Enabled: No

SAP_HR_COURSEACCOUNT (HR Course Account)

ID

Description

Tuition

Tuition

Reimbursement

Reimbursement

Dimensions

ID

Description

Connection  Connection type: Get data from an
App  System: SuccessFactors  Connection Query: Table Query
Classes
Formula/Mapping Tuition Reimbursement
Mapping

Time* User Course Name Grade

Time SAP_HR_GEN_USER SAP_HR_COURSE_COURSENAME SAP_HR_COURSE_GRADE

 Note
* Private dimension and other dimensions are public.

Tuition Reimbursement_Employee Course Grade Tuition Reimbursement Effective Date

2.21.4.4 Leaves - Leave of Absence (SAP__HR_LEAVES_IM_LOA)

Model Name: SAP__HR_LEAVES_IM_LOA
 Model Description: SAP Human Resources: Leaves - Leave of Absence  Planning Enabled: No

SAP_HR_LEAVESACCOUNT (HR Leaves Account)

ID

Description

DeductionQuantity

Deduction Quantity

Connection
 Connection type: Get data from an App
 System: SuccessFactors  Connection Query: Table Query
Employee Time
Formula/Mapping Deduction Quantity

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Model Name: SAP__HR_LEAVES_IM_LOA

Connection

FractionQuantity NumberDays NumberHours WorkflowRequest Dimensions ID

Fraction Quantity Number of Days Number of Hours Workflow Request
Description

Fraction Quantity Number of Days Number of Hours Workflow Request
Mapping

Time*

Time

User

SAP_HR_GEN_USER

LOA Actual Return Date

SAP_HR_LEAVES_ACTUALEND

LOA Expected Return Date

SAP_HR_LEAVES_EXPECTEDEND

Approval Status

SAP_HR_LEAVES_APPROVALSTATUS

Time Record Origin

SAP_HR_LEAVES_TIMERECORD

Time Type

SAP_HR_LEAVES_TIMETYPE

Name Dimension that only exists in SAP Analytics Cloud model and not in data source

Start Date User Leave of Absence Actual Return Date Leave of Absence Expected Return Date Approval Status Time Record Origin Time Type Assign to #

 Note
* Private dimension and other dimensions are public.

2.21.4.5 Survey - Survey Results (SAP__HR_SURVEY_IM_RESULTS)

Model Name: SAP__HR_SURVEY_IM_RESULTS

 Model Description: SAP Human Resources: Survey - Survey Results  Planning Enabled: No

SAP_HR_SURVEYACCOUNT (HR Survey Account) ID Indicator Dimensions ID Time* Legal Entity Country

Description Indicator
Description Time SAP_ALL_COMPANY_CODE SAP_ALL_COUNTRY

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Model Name: SAP__HR_SURVEY_IM_RESULTS

Department

SAP_HR_USER_DEPARTMENT

Survey Indicator

SAP_HR_SURVEY_INDICATOR

Data Source Connection and Integration

This model should be filled from an external source, for example, from a suitable spread sheet, so mapping description is not provided.

 Note
* Private dimension and other dimensions are public.

2.21.4.6 General - Recruitment (SAP__HR_GEN_IM_RECRUITMENT)

Model Name: SAP__HR_GEN_IM_RECRUITMENT

Connection

 Model Description: SAP Human Resources: General - Recruitment  Planning Enabled: No

 Connection type: Get data from an App
 System: SuccessFactors  Connection Query: Template Em
ployeeCentralRecruitmentMove mentSource

SAP_HR_RECRUITMENTACCOUNT (Recruitment Account)

ID

Description

Formula/Mapping

openings_system

Number of openings coming from sys JobRequisition>Number of Opening tem

hirecost

Cost of hire

JobRequisition>Cost of Hire

daystohire

Days to hire

JobApplication>Time to Hire

counter

Applicant counter

Map to a column with value 1

daystostart

Days to start

JobRequistion>Time to Fill

calculation_opening

Level 1 exception aggregation for open Internal calculation (not visible in story) ings

openings

Positions Posted

Calculation based on calculation open ing

posf

Hires

RESTRICT([counter],[d/ SAP_HR_RECRUIT_APPSTATUS] ="27")

Dimensions

ID

Description

Mapping

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Model Name: SAP__HR_GEN_IM_RECRUITMENT

Connection

Time*

Time

JobRequisition>Date Created

Application ID

SAP_HR_RECRUIT_APPLICATIONID JobApplication>Application Id

Job Requisition ID

SAP_HR_RECRUIT_JOBREQUISITION JobApplication>Job Requisition ID

Candidate ID

SAP_HR_RECRUIT_CANDIDATEID

JobApplication>Candidate Id

Application Status

SAP_HR_RECRUIT_APPSTATUS

JobApplicationStatus>Application Sta tus Id

External Employee

SAP_HR_RECRUIT_ISEXTERNAL

Candidate>External Candidate

Recruitment Source

SAP_HR_RECRUIT_SOURCE

JobApplication>Source

Former Employee

SAP_HR_RECRUIT_ISFORMEREMP

JobApplication>Former Employee

Employee Referral

SAP_HR_RECRUIT_EMPLOYEEREF

JobApplication>Referred By

Job Start Date

SAP_HR_RECRUIT_JOBSTARTDATE JobRequisition>Job Start Date Time

Job Hire Date

SAP_HR_RECRUIT_HIREDATE

JobApplication>Hired On

Agency Name

SAP_HR_RECRUIT_AGENCYNAME

JobApplication>Agency Info

User

SAP_HR_GEN_USER

JobApplication>User id

PayGrade

SAP_HR_USER_PAYGRADE

JobRequisition>Pay Grade

Gender

SAP_HR_USER_GENDER

JobApplication>Gender

Division

SAP_HR_USER_DIVISION

JobRequisition>Job Division

Department

SAP_HR_USER_DEPARTMENT

JobRequisition>Job Department

Fulltime

SAP_HR_USER_ISFULLTIME

JobRequisition>Is Full Time Employee

Country

SAP_ALL_COUNTRY

JobRequisition>Country

Job Start Year

SAP_HR_RECRUIT_STARTYEAR

Please see Note A

Job Hire Year

SAP_HR_RECRUIT_HIREYEAR

Please see Note A

Job Requisition Status

SAP_HR_RECRUIT_REQSTATUS

JobApplication>System Status

Job Posting Close Date

SAP_HR_RECRUIT_POSTINGCLOSE JobRequisition>Date Closed

Regular/Temporary

SAP_HR_RECRUIT_REGTEMP

JobRequisition>Reg/Temp

Job Requisition Stage

SAP_HR_RECRUIT_REQSTAGE

JobRequisition>Application Status Set ID

Job Classification

SAP_HR_USER_JOBCLASSIFICATION #

Job Title

SAP_HR_USER_JOBTITLE

JobRequisition>Job Level

Recruitment Account

SAP_HR_RECRUITMENTACCOUNT

Map measures individually (see above)

Additional Notes about the model

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Model Name: SAP__HR_GEN_IM_RECRUITMENT
 Note
Date handling needs some workarounds in SAP Analytics Cloud.
Hence, the following should be done while date mapping to the model: JobRequisition > Job Start Date Time in SuccessFactors, Let's say column A  Make duplicate column of column B (column C)  Use column split on column C to get only the year (column D)  Map Dimension Job Start Year in the model to column D
 Note
* Private dimension and other dimensions are public.

Connection

2.22 Human Experience Management (HXM) Workforce Planning
2.22.1 Overview: Use Case and Area of Application
This content package aims to enable HR planners in the area of FTE and salary cost planning, both on the aggregated (top-down) and detailed (bottom-up) level. Capabilities include planning for cost center and employment level changes, promotions, absences, terminations and the creation of new positions. Based on one central model, this content package offers a single source of truth for the planned FTE and related costs, enabling reports with insights to current workforce compositions, such as shrinkage or growth in a particular job role, gender distribution, or internal/external workforce ratio.
An extension of this package is possible with the add-on package ("SAP_HXM_Workforce_Planning_Addon") to publish the planned results into the Integrated Financial Planning for SAP S/4HANA content package.
This content package is best viewed when SAP Analytics Cloud is displayed in a screen with resolution of 1920 x 1200 px.

2.22.2 Architecture
This content package consists of five analytic applications and one reporting story, all based on one central data model of type: "New Model". WFP - Overview Page (SAP__HR_BPL_IM_WFP_OVERVIEW_PAGE) (Analytic app) Central entry point for all users to navigate to the setup, the three headcount and FTE planning applications, and the reports (story).

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WFP - Central Assumptions (SAP__HR_BPL_IM_WFP_CENTRAL_ASSUMPTIONS)
(Analytic app) Sets up the foundation of the workforce planning process. Maintain central assumptions for internal headcounts (e.g. midpoint salaries, contributing cost factors like social security, pensions etc.) and monthly rates for the external workforce. Define the planning granularity by choosing from a list of pre configured planning levels. Existing data, such as actuals, can be copied to seed the initial plan data.
WFP - Aggregated External Plan (SAP__HR_BPL_IM_WFP_AGGREGATED_EXTERNAL)
(Analytic app) Top-down headcount plan for external (contingent) workers. Plan headcount and see the resulting costs. Choose from a list of preconfigured planning levels to define the planning granularity to optimally reflect your organizational structure. For comparisons see chart visualization of the delta to budget or any other chosen version.
WFP - Aggregated Internal Plan (SAP__HR_BPL_IM_WFP_AGGREGATED_INTERNAL)
(Analytic app) Top-down headcount planning for internal workforce. Plan headcount and see the resulting costs. Choose from a list of preconfigured planning levels to define the planning granularity to optimally reflect your organizational structure. For comparisons see chart visualizations of the delta to budget or any other chosen version.
WFP - Detailed Internal (SAP__HR_BPL_IM_WFP_DETAILED_INTERNAL)
(Analytic app) Bottom-up FTE planning of individual employees. Carry out actions for existing employees such as cost center or employment level change, promotion, absence, or termination. Create new positions together with the corresponding attributes such as cost center, company code, location, job family etc. See resulting costs from the FTE planning of both existing and new positions. For comparisons see chart visualizations of the delta to budget or any other chosen version.
WFP - Reporting (SAP__HR_BPL_IM_WFP_REPORTING)
(Story) Reports showing current planning progress and the actuals performance. See gender analysis or workforce composition breakdown in different locations and roles. Get insights to internal/external headcount ratio. Assess current planning in comparison to budget.

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2.22.3 Analytic Applications and Stories
General Features
Plan level Selection For some applications it is necessary to select the intended plan level at the beginning of your workflow. For those cases you will find the settings under the button "General Settings". This ensures that the data is entered and/or seeded at the correct granularity. For some workflows it is also possible to change the level during planning. See the details to each application in the following sections for more information. Button
Options

Version Selection

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The content comes with 4 versions: - Actual - Aggregated Plan - Detailed Plan - TopDown Budget If additional versions are desired, simply create one via the Version Management. See SAP Help Portal for more details. For all chart visualizations, it is possible to switch between available versions in the model for desired comparison. View Switch / Sub-Workflows For some applications an alternative plan method is provided, or the workflow is divided into two areas for better overview and comprehensibility. Access to those is possible via the toggle under the headline.
Filter In all applications besides the landing page there is a filter icon above the headline. This allows for the setting of filter during the workflow to further refine your table layout. This filter, however, works purely as a visual filter and has no impact on the seeding granularity. Collapse / Expand Where applicable, collapse/expand capabilities are built in to allow for adjustments of the table height. It is possible to collapse each table, or to collapse the header altogether when it is not necessary for the workflow. To hide all other UI elements besides the current table in use, trigger the full screen mode of the desired table via the quick-action menu.
2.22.3.1 Overview Page
Use Case Central entry point for all users. Contains links to all parts of the content. Version(s) Used Aggregated_Plan

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2.22.3.2 Central Assumptions

Use Case
This application is for the setting up of the foundation for workforce planning solution. Parameters for salary cost calculations (central assumptions) are loaded here. These are then in turn used for the seeding of the plan data, albeit only at the chosen planning level. The rates maintained in the central assumptions are also taken for calculations made in the scope of planning new hires.
Parameters can be maintained for internal and external workforce. Depending on the cost type, the mode of entry could be in amount, percentage rate or headcount.
The workflow could be executed via a guided UI (click on button "Guide Me!") or - for the more experienced - by triggering the copy and seeding steps according to individual needs.
Workflow:  Click on "General Settings" to set up the version and plan level  If desired, click on "Copy Data" to seed the chosen version with data from another  Adjust the data manually, if needed, and click on "Confirm" when done

Version(s) Used
Two versions should be seeded to setup the whole solution: Detailed_Plan and Aggregated_Plan.

Data Action(s)

Data Action Technical Name

Data Action Name in Application

SAP__HR_BPL_IM_COPY_CEN TRAL_ASSUMP TIONS_FROM_OTHER_VERSION

da_copy_ca

SAP__HR_BPL_IM_INITIAL IZE_PLAN_WITHOUT_AGGREGATION

da_Seed_Scenario_0

SAP__HR_BPL_IM_INITIAL IZE_PLAN_LEVEL_01

da_Seed_Scenario_1

SAP__HR_BPL_IM_INITIAL IZE_PLAN_LEVEL_02

da_Seed_Scenario_2

Usage I
II III IV

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Data Action Technical Name
SAP__HR_BPL_IM_INITIAL IZE_PLAN_LEVEL_03
SAP__HR_BPL_IM_INITIAL IZE_PLAN_LEVEL_05

Data Action Name in Application da_Seed_Scenario_3

Usage V

da_Seed_Scenario_5

VI

Usage
- (I) Copies the central assumptions, written on Plan Level = Central Assumptions, from one version to another
- (II) Calculates the costs based on the cost parameters set on the plan level "CompanyCode/ CostCenter(Detailed Plan)" and prepopulates the chosen plan version with headcount values and costs. A prepopulation for headcount values and costs of the chosen plan version can only take place if there is at least one reference month in the dataset available to copy the data from.
- (III) Aggregates all data on a CompanyCode/BusinessUnit/Division level (plan level), calculates the costs based on the cost parameters set on the corresponding plan level and prepopulates the chosen plan version with headcount values and costs. For external workforce, the aggregation occurs on CompanyCode/ BusinessUnit/Division/Location level. A pre-population can only take place when the conditions described in (II) are met.
- (IV) Aggregates all data on a CompanyCode/BusinessUnit level (plan level), calculates the costs based on the cost parameters set on the corresponding plan level and prepopulates the chosen plan version with headcount values and costs. For external workforce, the aggregation occurs on CompanyCode/BusinessUnit/Location level. A pre-population can only take place when the conditions described in (II) are met.
- (V) Aggregates all data on a CompanyCode/CostCenter level (plan level), calculates the costs based on the cost parameters set on the corresponding plan level and prepopulates the chosen plan version with headcount values and costs. For external workforce, the aggregation occurs on CompanyCode/CostCenter/Location level. A pre-population can only take place when the conditions described in (II) are met.
- (VI) Aggregates all data on a CompanyCode/BusinessUnit/JobFamily level (plan level), calculates the costs based on the cost parameters set on the corresponding plan level and prepopulates the chosen plan version with headcount values and costs. For external workforce, the aggregation occurs on CompanyCode/ BusinessUnit/JobFamily/Location level. A pre-population can only take place when the conditions described in (II) are met.
2.22.3.3 Aggregated External

Use Case
This application is for top-down planning of external headcounts.
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Workflow: 1. Enter the total HC demand in the first table. 2. Click on the Calculate Costs in the second table to see the results 3. Click Confirm when done.
 Note
After being triggered, the calculated costs can be manually adjusted afterwards if desired. Toggle on "Show Adjustment" above the table. A column for manual adjustment entries will appear in the table.

Version(s) Used
Aggregated Plan

Data Action(s)
Data Action Technical Name
SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_01 SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_02 SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_03 SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_05 SAP__HR_BPL_IM_CALCU LATE_DELTA_VALUES

Data Action Name in Application da_AGGRPLAN_PL1_calculate_costs

Usage I

da_AGGRPLAN_PL2_calculate_costs II

da_AGGRPLAN_PL3_calculate_costs III

da_AGGRPLAN_PL4_calculate_costs IV

da_calculate_delta_FTE

V

Usage
 Calculates the costs for all cost types on plan level = CompanyCode/BusinessUnit/Division(+Location) based on the headcount values planned and parameters maintained in the central assumptions.
 Calculates the costs for all cost types on plan level = CompanyCode/BusinessUnit(+Location) based on the headcount values planned and parameters maintained in the central assumptions.
 Calculates the costs for all cost types on plan level = CompanyCode/CostCenter(+Location) based on the headcount values planned and parameters maintained in the central assumptions.
 Calculates the costs for all cost types on plan level = CompanyCode/BusinessUnit/JobFamily(+Location) based on the headcount values planned and parameters maintained in the central assumptions.

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 Calculates the amount of resulting hires and terminations based on the user input for overall headcount demand.
2.22.3.4 Aggregated Internal

Use Case
This application is for top-down planning of internal headcounts. There are two ways to do the planning here: 1. Start by planning the desired total headcount demand and let the system calculate the resulting necessary new hires. 2. Start by planning the necessary new hires and let the system calculate the resulting total demand. Toggling between these two modes are possible via the button:

Workflow: Plan Total Headcount: 1) Enter total headcount demand in the first table. 2) Click Calculate Costs and check the results in the second table. 3) Click Confirm when done. Plan New Hires Demand: 1) Enter new hires headcount demand in the first table. 2) Click Calculate Costs and check the results in the second table 3) Click Confirm when done Note: After being triggered, the calculated costs can be manually adjusted afterwards if desired. Toggle on Show Adjustment above the table to display a column for manual adjustments.

Version(s) Used
Aggregated Plan
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Data Action(s)

Data Action Technical Name
SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_01
SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_02
SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_03
SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_05
SAP__HR_BPL_IM_CALCU LATE_DELTA_VALUES
SAP__HR_BPL_IM_CALCU LATE_END_OF_PERIOD_VALUES

Data Action Name in Application da_AGGRPLAN_PL1_calculate_costs

Usage I

da_AGGRPLAN_PL2_calculate_costs II

da_AGGRPLAN_PL3_calculate_costs III

da_AGGRPLAN_PL4_calculate_costs IV

da_calculate_delta_FTE

V

da_calculate_EOP_FTE

VI

Usage
For first five entries, refer to the data actions listed in the topic Aggregated External. (VI) Calculates the total headcount for each month based on the user input for the amount of hires and terminations.
2.22.3.5 Detailed Internal

Use Case
This application is for bottom-up planning of internal headcounts. There are 2 separate workflows, each dedicated to a different part of FTE planning: 1) Adjustments (absence & movement) for existing employees: - Cost center change - Promotion - Absence - Employment Level - Termination 2) New hires creation

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Toggling between these two workflows are possible via the button:

Workflow: Absence & Movement: 1) Select your desired employee on the table, then select the action to perform 2) The resulting FTE and cost will be displayed in the tables 3) When done with planning, click Confirm. New Hires 1) Click on Create New Position. 2) Enter all necessary details 3) The resulting FTE will be displayed. [The resulting costs will be displayed in the Overview FTE Costs table] 4) When done with planning, click Confirm.
 Note
After being triggered, the calculated costs can be manually adjusted afterwards if desired. Toggle on Show Adjustment above the table. A column for manual adjustment entries will appear in the table.

Version(s) Used
Detailed_Plan

Data Action(s)

Data Action Technical Name

Data Action Name in Application

SAP__HR_BPL_IM_CREATE_NEW_PO da_createNewPosition SITION

SAP__HR_BPL_IM_TERMINATE_EM PLOYEE

da_terminateEmployee

SAP__HR_BPL_IM_CHANGE_COST_CE da_changeCostCenter NTER_OF_EMPLOYEE

SAP__HR_BPL_IM_PLAN_AB SENCE_FOR_EMPLOYEE

da_maintainAbsence

Usage I II III IV

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Data Action Technical Name

Data Action Name in Application

SAP__HR_BPL_IM_PLAN_PART_TIME_ da_adjustEmploymentLevel FOR_EMPLOYEE

SAP__HR_BPL_IM_REVERT_MAN UAL_CHANGES_FOR_EMPLOYEE

da_revertEmployee

SAP__HR_BPL_IM_PROMOTE_EM PLOYEE

da_promoteEmployee

SAP__HR_BPL_IM_DELETE_POSITION da_deletePosition

SAP__HR_BPL_IM_CALCU LATE_COSTS_PLAN_LEVEL_04

(Is not included in application, but a nested data action)

SAP__HR_BPL_IM_CALCU LATE_COSTS_FOR_NEW_POSI TION_PLAN_LEVEL_04

(Is not included in application, but a nested data action)

Usage V VI
VII
VIII IX
X

Usage
- (I) Books FTE values on a company code, cost center, position, pay grade, job family, business unit, division and department level and calculates the costs for the position based on the parameters set in the central assumption on the level "CompanyCode/CostCenter(Detailed Plan)".
- (II) Deletes all headcount values, FTE values and costs for a certain employee beginning from a certain month.
- (III) Change the cost center of an existing employee.
- (IV) Book an absence for specific period of time for an existing employee. The FTE values and costs are set on 0 for the specified period of time.
- (V) Adjust the FTE value for specific period of time for an existing employee. The FTE value is set on the user input and costs are reduced on a percentage basis compared to the initial state.
- (VI) Revert all changes planned for an existing employee to the initial state.
- (VII) Change the pay grade of a specific employee starting from a specified date.
- (VIII) Delete all data for a specific position.
- (IX) Calculates the costs for all cost types on plan level "CompanyCode/CostCenter(Detailed Plan) based on the FTE values planned and parameters set on the corresponding plan level in central assumption for a specific employee. This data action is not included in the application but embedded in other data actions (da_maintainAbsence, da_adjustEmploymentLevel, da_revertEmployee).
- (X) Calculates the costs for all cost types on plan level = CompanyCode/CostCenter(Detailed Plan) based on the FTE values planned and the parameters set on the corresponding plan level in the central assumption. This data action is not included in the application but embedded in another data action (da_createNewPosition).

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2.22.3.6 Reporting

Use Case
This story contains reports with insights to how the actual performance is in comparison to the planned data, with location and role breakdowns to offer an overview of the regional shrinkage/growth and also role development. Pages: 1) Progress Overview (Actuals  Plan) 2) Gender Analysis (Actuals  Plan) 3) External Workforce (Actuals  Plan) 4) Budget Comparison (Plan  Budget)

Version(s) Used
Aggregated_Plan, Detailed_Plan, TopDown Budget

Calculations
Measure Name % External HC (Actuals) % External HC (Plan) % Female HC (Actuals) % Female HC (Detailed Plan) % HC  (Actuals - Plan) % HC  (Plan - Budget)

Type Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure

Content Package User Guide Line of Business

Formula/Properties
[#External HC Actuals]/[#HC (Ac tuals)]
[#External HC Plan]/[#HC (Aggregated Plan)]
[#Female HC (Actuals)]/[#HC (Ac tuals)]
[#Female HC (Detailed Plan)]/[#HC (Detailed Plan)]
[#HC ACT  PLAN]/[#HC (Detailed Plan)]
[#HC (Plan  Budget)]/[#HC (Budget)]

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Measure Name Average Salary

Type Aggregation

External HC Actuals

Restricted Measure

External HC Plan

Restricted Measure

Female HC (Actuals)

Restricted Measure

Female HC (Detailed Plan)

Restricted Measure

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Formula/Properties - Measure: - TotalAmountGC - Operation: - AVERAGE excl. NULL - Aggregation Dimensions: - Employee - Measure: - HC - Dimensions // Value: - Is Contingent Worker // External - Version // Actual - Audit // Initial Data Load - Measure: - HC - Dimensions // Value: - Is Contingent Worker // External - Version // Aggregated_Plan - Audit // Manual Change - Measure: - HC - Dimensions // Value: - Gender // F - Version // Actual - Audit // Initial Data Load - Measure: - HC - Dimensions // Value: - Gender // F - Version // Detailed_Plan - Audit // Manual Change
Content Package User Guide Line of Business

Measure Name HC (Actuals)

Type Restricted Measure

HC (Aggregated Plan)

Restricted Measure

HC (Budget)

Restricted Measure

HC (Detailed Plan)

Restricted Measure

HC (Plan  Budget) HC ACT  PLAN MaxBaseSalary

Calculated Measure Calculated Measure Aggregation

Formula/Properties - Measure: - HC - Dimensions // Value: - Version // Actual - Audit // Initial Data Load
- Measure: - HC - Dimensions // Value: - Version // Aggregated_Plan - Audit // Manual Change
- Measure: - HC - Dimensions // Value: - Version // TopDown Budget - Audit // Manual Change
- Measure: - HC - Dimensions // Value: - Version // Detailed_Plan - Audit // Manual Change [#HC (Detailed Plan)]-[#HC (Budget)]
[#HC (Actuals)]-[#HC (Detailed Plan)]
- Measure: - BaseSalary - Operation: - Max - Aggregation Dimensions: - Employee

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Measure Name MinBaseSalary

Type Aggregation

Formula/Properties
- Measure: - BaseSalary - Operation: - MIN - Aggregation Dimensions: - Employee

2.22.4 Model

Model Name: SAP__HR_BPL_IM_WORKFORCE HXM (Human Experience Manage ment) Integrated Workforce Planning
Modeltype: New Model Measures ID
AMOUNT

Connection Connection Type: - SAP SuccessFactors Planning: Yes
Description Amount

Mapping/Formula XXX

FTE_Change

FTE Change

HC_Change

HC Change

HC_EoP

HC

HC

HC_BoP

HC Begin of Period

FTE_BoP FTE_EoP

FTE Begin of Period

FTE

FTE

Rate_Percentage

New percentage rate based on amount value

Change_Percentage

Delta percentage for an amount value

Rate_Absolute

Additional Rate as a absolut number

Manual_Adjustment

Adjustment

Calculated Measures:

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Model Name: SAP__HR_BPL_IM_WORKFORCE
ID
CM_BaseSalary

Connection Description
BaseSalary

CM_HC_Termination

Terminations (HC)

CM_HC_Hires

Hires (HC)

CM_Bonus

Bonus (%)

CM_FTE_Abscence

Absence (FTE)

CM_MidpointSalary

Midpoint Salary

CM_ITCosts CM_HealthInsurance_Rate

IT Costs Absolute Rate Health Insurance (%)

CM_TravelCosts

Travel Costs Absolute Rate

CM_CarCosts CM_Comission_Rate

Car Costs Absolute Rate Comission (%)

CM_LifeInsurance

Life Insurance (%)

CM_Pension CM_RetirementFund

Pension (%) Retirement Fund (%)

Content Package User Guide Line of Business

Mapping/Formula
RESTRICT([AMOUNT] ,[d/ SAP_HR_COSTTYPE]="SALARY" )
RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT]= "26" )
RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT] = "H" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE] = "BONUS" )
RESTRICT([FTE_Change] ,[d/ SAP_HR_USER_EVENT] = "10" )
RESTRICT([AMOUNT] ,[d/ SAP_HR_COSTTYPE] = "MIDPOINTSA LARY" )
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE] = "IT_COSTS" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE] = "HEALTH_IN SURANCE" )
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE] = "TRAVEL_COSTS")
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE]="CAR_COSTS" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE] = "COMMIS SION" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "LIFE_INSUR ANCE" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "PENSION" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "RETIRE MENT_FUND" )

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Model Name: SAP__HR_BPL_IM_WORKFORCE
CM_SocialInsurance

Connection Social Insurance (%)

CM_FTE_Termination CM_FTE Hires CM_HC_Promotion CM_FTE_Promotion CM_FTE_CostCenterChange CM_HC_CostCenterChange CM_Month_Rate

Terminations (FTE) Hires (FTE) Promotions (HC) Promotions (FTE) Cost Center Changes (FTE) Cost Center Changes (HC) Cost Rate For External Workers

CM_MeritIncrease
CM_MeritIncrease_Rate
CM_TotalAmount CM_HC_EoP CM_TotalAmountGC CM_AmountGC CM_AdjustmentGC
Dimensions Name Date SAP_HR_COSTTYPE SAP_HR_DIVISION

Merit Increase (Abs.)
Merit Increase (%)
Total Amount HC (no input) TotalAmountGC Amount (GC) CM_AdjustmentGC
Description Date Plan Cost Type Division

RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "SOC_INSUR ANCE" )
RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT]= "26" )
RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT] = "H" )
RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT] = "8" )
RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT] = "8" )
RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT] = "5" )
RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT] = "5" )
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE]= "MONTH_RATE" )
RESTRICT( [AMOUNT] ,[d/ SAP_HR_COSTTYPE]= "MERIT" )
RESTRICT( [Change_Percentage] ,[d/ SAP_HR_COSTTYPE]= "MERIT" )
[AMOUNT] + [Manual_Adjustment]
[HC_EoP]
[CM_AdjustmentGC]+[CM_AmountGC]
AMOUNT
Manual_Adjustment
Mapping EFFECTIVE_DATE
DIVISION

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Dimensions SAP_HR_DEPARTMENT SAP_HR_GEOZONE SAP_HR_BUSINESSUNIT SAP_HR_JOBFUNCTION SAP_HR_USER_PAYRANGE SAP_HR_USER_EMPLOYEE SAP_HR_USER_EMPLOYMENTTYPE SAP_HR_POSITION SAP_HR_USER_CONTRACTTYPE SAP_HR_USER_JOBLEVEL SAP_HR_USER_EVENT

Department Geo Zone Business Unit Job Family Pay Range Employee Employment Type Position Contract Type Job Level Event

SAP_HR_USER_LOCATION

Location

SAP_HR_USER_JOBCLASSIFICATION Job Classification

SAP_FI_BPL_GLACCOUNT

G/L Account

SAP_HR_USER_PAYGRADE

Pay Grade

SAP_ALL_COSTCENTER

Cost Center

SAP_HR_ISCONTINGENT

Is Contingent Worker

Audit

Audit

Plan_Level

Aggregation Level for Planning

SAP_ALL_COMPANY_CODE

Company Code

DEPARTMENT BUSINESSUNIT
USERID EMPLOYMENTTYPE
EVENT LOCATION JOBCODE PAYGRADE COSTCENTER
COMPANY

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2.22.5 Add-on 2.22.5.1 Overview
Use Case
This add-on aims to enable HR planners to publish their results from workforce planning (content package: "SAP_HXM_Workforce_Planning") to a Cost Center Planning and Budgeting model as part of the Integrated Financial Planning for SAP S/4HANA content package. This content is best viewed with a screen resolution of 1920 x 1200 px.
2.22.5.2 Architecture
This add-on consists of one analytic application. SAP__HR_BPL_IM_WFP_PUBLISH_PL (Analytic Application) Maps cost types from the workforce planning model (type: new model) to GL accounts and transfers costs to the Cost Center Planning and Budgeting model.

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2.22.5.3 Analytic Application

Use Case
Maps cost types from the workforce planning model (type: new model) to GL accounts and transfers costs to the Cost Center Planning and Budgeting model. Workflow: 1) Click "General Settings" to choose the version and the plan level to copy the data from 2) Click "G/L Mapping to map the costs from the cost types to the corresponding G/L accounts 3) Click "Publish to P&L" to transfer the results to the Cost Center Planning and Budgeting model (SAP_FI_BPL_COSTCENTER).

Version(s) Used
Actual, Aggregated_Plan, Detailed_Plan, Budget (To be selected)

Data Action(s)

Data Action Technical Name
SAP__HR_BPL_IM_DERIVE_GL_AC COUNTS
SAP__HR_BPL_IM_TRANS FER_COSTS_TO_FINANCIAL_PLAN

Data Action Name in Application da_derive_gl_accounts
da_copy_to_cc_model

Usage I II

Usage
- (I) Derives the G/L Accounts for the cost types based on the attribute "G/L Account" of the dimension "Cost Type". - (II) Copies over the costs from the Workforce Planning Model to the Financial Plan based on the global Dimension "G/L Accounts"

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2.22.5.4 Model

Model Name: SAP__HR_BPL_IM_WORKFORCE HXM (Human Experience Manage ment) Integrated Workforce Planning
Modeltype: New Model Measures ID
AMOUNT

Connection Connection Type: - SAP SuccessFactors Planning: Yes
Description Amount

Mapping/Formula XXX

FTE_Change

FTE Change

HC_Change

HC Change

HC_EoP

HC

HC

HC_BoP

HC Begin of Period

FTE_BoP FTE_EoP

FTE Begin of Period

FTE

FTE

Rate_Percentage

New percentage rate based on amount value

Change_Percentage

Delta percentage for an amount value

Rate_Absolute

Additional Rate as a absolut number

Manual_Adjustment

Adjustment

Calculated Measures: ID

Description

Mapping/Formula

CM_BaseSalary

BaseSalary

RESTRICT([AMOUNT] ,[d/ SAP_HR_COSTTYPE]="SALARY" )

CM_HC_Termination

Terminations (HC)

RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT]= "26" )

CM_HC_Hires

Hires (HC)

RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT] = "H" )

CM_Bonus

Bonus (%)

RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE] = "BONUS" )

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Model Name: SAP__HR_BPL_IM_WORKFORCE
CM_FTE_Abscence

Connection Absence (FTE)

CM_MidpointSalary

Midpoint Salary

CM_ITCosts CM_HealthInsurance_Rate

IT Costs Absolute Rate Health Insurance (%)

CM_TravelCosts

Travel Costs Absolute Rate

CM_CarCosts CM_Comission_Rate

Car Costs Absolute Rate Comission (%)

CM_LifeInsurance

Life Insurance (%)

CM_Pension CM_RetirementFund

Pension (%) Retirement Fund (%)

CM_SocialInsurance

Social Insurance (%)

CM_FTE_Termination CM_FTE Hires CM_HC_Promotion

Terminations (FTE) Hires (FTE) Promotions (HC)

RESTRICT([FTE_Change] ,[d/ SAP_HR_USER_EVENT] = "10" )
RESTRICT([AMOUNT] ,[d/ SAP_HR_COSTTYPE] = "MIDPOINTSA LARY" )
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE] = "IT_COSTS" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE] = "HEALTH_IN SURANCE" )
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE] = "TRAVEL_COSTS")
RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE]="CAR_COSTS" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE] = "COMMIS SION" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "LIFE_INSUR ANCE" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "PENSION" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "RETIRE MENT_FUND" )
RESTRICT([Rate_Percentage] ,[d/ SAP_HR_COSTTYPE]= "SOC_INSUR ANCE" )
RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT]= "26" )
RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT] = "H" )
RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT] = "8" )

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Model Name: SAP__HR_BPL_IM_WORKFORCE
CM_FTE_Promotion

Connection Promotions (FTE)

CM_FTE_CostCenterChange

Cost Center Changes (FTE)

CM_HC_CostCenterChange

Cost Center Changes (HC)

CM_Month_Rate

Cost Rate For External Workers

CM_MeritIncrease

Merit Increase (Abs.)

CM_MeritIncrease_Rate

Merit Increase (%)

CM_TotalAmount CM_HC_EoP CM_TotalAmountGC CM_AmountGC CM_AdjustmentGC

Total Amount HC (no input) TotalAmountGC Amount (GC) CM_AdjustmentGC

Dimensions Name Date SAP_HR_COSTTYPE SAP_HR_DIVISION SAP_HR_DEPARTMENT SAP_HR_GEOZONE SAP_HR_BUSINESSUNIT SAP_HR_JOBFUNCTION
SAP_HR_USER_PAYRANGE
SAP_HR_USER_EMPLOYEE
SAP_HR_USER_EMPLOYMENTTYPE

Description Date Plan Cost Type Division Department Geo Zone Business Unit Job Family
Pay Range
Employee
Employment Type

RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT] = "8" ) RESTRICT([FTE_Change],[d/ SAP_HR_USER_EVENT] = "5" ) RESTRICT([HC_Change],[d/ SAP_HR_USER_EVENT] = "5" ) RESTRICT([Rate_Absolute] ,[d/ SAP_HR_COSTTYPE]= "MONTH_RATE" ) RESTRICT( [AMOUNT] ,[d/ SAP_HR_COSTTYPE]= "MERIT" ) RESTRICT( [Change_Percentage] ,[d/ SAP_HR_COSTTYPE]= "MERIT" ) [AMOUNT] + [Manual_Adjustment] [HC_EoP] [CM_AdjustmentGC]+[CM_AmountGC] AMOUNT Manual_Adjustment
Mapping EFFECTIVE_DATE
DIVISION DEPARTMENT
BUSINESSUNIT
USERID EMPLOYMENTTYPE

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Dimensions SAP_HR_POSITION SAP_HR_USER_CONTRACTTYPE SAP_HR_USER_JOBLEVEL SAP_HR_USER_EVENT

Position Contract Type Job Level Event

SAP_HR_USER_LOCATION

Location

SAP_HR_USER_JOBCLASSIFICATION Job Classification

SAP_FI_BPL_GLACCOUNT

G/L Account

SAP_HR_USER_PAYGRADE

Pay Grade

SAP_ALL_COSTCENTER

Cost Center

SAP_HR_ISCONTINGENT

Is Contingent Worker

Audit

Audit

Plan_Level

Aggregation Level for Planning

SAP_ALL_COMPANY_CODE

Company Code

EVENT LOCATION JOBCODE PAYGRADE COSTCENTER
COMPANY

2.23 Human Resources - Salary and Employee Cost Planning
2.23.1 Architecture and Abstract
Integration between SuccessFactors and SAP Analytics Cloud is set up for integrated scenario where SAP Analytics Cloud leverages the model and data from SuccessFactors. Architecture

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2.23.2 Stories
The following stories are included:  SAP Human Resources: Salary Costs Input (SAP__HR_IM_GEN_SALARY_INPUT)  SAP Human Resources: Salary Costs Report (SAP__HR_IM_GEN_SALARY_REPORT)

2.23.3 Models
The next chapter provides the detailed information about the model used to create insightful Stories.

2.23.3.1 SAP Human Resources: General -Salary (SAP__HR_GEN_IM_SALARY)

SAP__HR_GEN_IM_SALARY

 SAP Procurement: Network- Invoice  Planning Enabled: Yes

Salary Account (SAP_HR_SAL_ACCOUNT *)

ID

Description

10

SALARY

101

Base Salary

100

ALLOWANCE

1001

Parking

1002

Meal

1003

Fuel

1004

Company Car

200

PENSION

2001

Fund Pension Contribution (in %)

300

BENEFITS

3001

Fitness

3002

Company Mobile

3003

Home Office connection

400

RATES

4001

Bonus Rate (in %)

4002

Tax Rate (in %)

Connection Upload from File
Mapping/Formula

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SAP__HR_GEN_IM_SALARY MISC Assignments Salary_Adj 101_LOOKUP 100_LOOKUP 300_LOOKUP 4001_LOOKUP 4002_LOOKUP 2001_LOOKUP Salary_If Salary_Adj_Rep Salary_Allow Salary_Benef Salary_Bonus Salary_Tax Salary_Pension Salary_Overall Assignments_Check

Miscellaneous Assignments Salary Adjustment Input Base Salary Temp Allowances Temp Benefits Temp Bonus Temp Taxes Temp Pension Temp Base Salary Salary Adjustment Allowances Benefits Bonus Taxes Pension Overall Salary Already Assigned

Dimensions Name Time*
Content Package User Guide Line of Business

Description Time

Connection
Lookup([101] ,[d/ t.S:SAP_HR_GEN_USER]= "#") Lookup([100] ,[d/ t.S:SAP_HR_GEN_USER]= "#") Lookup([300] ,[d/ t.S:SAP_HR_GEN_USER]= "#") Lookup([4001] ,[d/ t.S:SAP_HR_GEN_USER]= "#") Lookup([4002] ,[d/ t.S:SAP_HR_GEN_USER]= "#") Lookup([2001] ,[d/ t.S:SAP_HR_GEN_USER]= "#") IF([Assignments]!=0, [101_LOOKUP]*[Assignments],0) [Salary_Adj] IF([Assignments]!=0, [100_LOOKUP]*[Assignments],0) IF([Assignments]!=0, [300_LOOKUP]*[Assignments],0) IF([Assignments]!=0, ([4001_LOOKUP]*[Salary_If])) IF([Assignments]!=0, ([4002_LOOKUP]*[Salary_If])) IF([Assignments]!=0, ([2001_LOOKUP]*[Salary_If]))
LOOKUP([Assignments] ,[d/ SAP_HR_SAL_COUNTRY]=("AU", "CN", "HK", "IN", "JP", "KR", "NZ", "SG", "CH", "DE", "ES", "FR", "IE", "IT", "NL", "PT", "RU", "UK", "AR", "BR", "CL", "MX", "VE", "CA", "US")and[d/ t.S:SAP_HR_USER_PAYGRADE]= ("GR-10", "GR-11", "GR-12", "GR-13", "GR-14", "GR-15") ,[d/ SAP_HR_SAL_COUNTRY] )
Mapping

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SAP__HR_GEN_IM_SALARY

Connection

SAP_HR_SAL_COUNTRY

Country

SAP_HR_USER_PAYGRADE

Paygrade

SAP_HR_GEN_USER

User

Additional Notes about the model

This model could be optionally linked to a SuccessFactors query and benefit from data imports from SuccessFactors. Im putable fields of this model are accounts 101, 1001, 1002, 1003, 1004, 2001, 3001, 3002 3003, 4001, and 4002. Those are
the benefits and allowances linked to paygrades and location (regardless of the employee #Unassigned ). For now, the best approach is to use this planning application as a standalone one.

 Note
*Please refer to the Known issues selection when using this content.

2.24 Integrated Financial Planning for SAP S/4HANA
2.24.1 Architecture and Abstract
Financial planning consists of seven integrated areas: Cost center planning, product cost planning, sales and profitability planning, project planning, internal order planning, investment planning and financial statement planning.
The Cost Center Planning and Budgeting model, stories, allocations and data actions support an elaborated planning and budgeting process with expense planning, allocations, activity quantity planning, activity cost rate planning and activity cost rate calculation
The Product Cost Planning model, stories and data action support the calculation and of product costs based on raw material prices and activity cost rates. The activity cost rates are the output of the cost center planning.
The Sales and Profitability model, stories and data actions support a detailed planning process with sales and quantity planning, revenue, deductions and cost of goods sold calculation. The cost of goods sold calculation is based on the product cost rates that are the output of the product cost planning.
The Project model, stories and data actions support planners to capture project expense budgets and plans based on work breakdown structure (WBS) elements of projects. It is integrated with availability control functions and budget consistency checks in SAP S/4HANA Cloud.
The Internal Order model, stories and data actions support planners to enter costs that are expected to incur during the life cycle of an order. Using internal order planning, you can plan and compare your costs on G/L account basis
The Investment model, stories and data actions makes it easy to plan profit center expenses for acquiring, maintaining, or improving fixed assets, such as buildings, vehicles, equipment, or land. It allows to calculate the resulting depreciation plan amounts via straight-line or accelerated depreciation method. The amounts of the planned investments and their calculated depreciation are the results of the investment planning.

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The Financial Statement model, stories and data actions support a profit and loss (P&L) planning with allocation to trading partner and a closing balance sheet planning. The P&L gross margin could be transferred from the Sales and Profitability Planning, the P&L operating expense from the Cost Center Planning and the investments and depreciation from the Investment Planning.
The Cross Model Simulation Cockpit allows stakeholders in management or a central controlling department to perform what-if simulations for sample processes based on changes to drivers, such as sales quantities, personnel expenses or raw material prices.
Architecture

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2.24.2 Models
2.24.2.1 Cost Center Planning and Budgeting (SAP__FI_BPL_IM_COSTCENTER)

Model Name: SAP__FI_BPL_IM_COSTCENTER

Connection

 Model Description: Cost Center Planning and Budgeting  Planning Enabled: yes

SAP S/4HANA Import Connection "FP&A"

Account Dimension

ID

Description

Mapping/Formula

MEASURE*

Measure

n.a.

Dimensions

Name

Description

Mapping

Date

Time

n.a.

SAP_ALL_COMPANY_CODE

Company Code

API_COMPANYCODE_SRV

SAP_ALL_COSTCENTER

Cost Center

API_COSTCENTER_SRV

SAP_FI_BPL_PRTNRCOSTCENTER

Partner Cost Center

API_COSTCENTER_SRV

SAP_FI_BPL_CCACTIVITYTYPE

Cost Center Activity Type

API_COSTCENTERACTIVITYTYPE_SRV

SAP_FI_BPL_PRTNRCCACTIVITYTYPE Partner Cost Center Activity Type

API_COSTCENTERACTIVITYTYPE_SRV

SAP_FI_BPL_GLACCOUNT

GL Account

API_GLACCOUNTINCHARTOFAC COUNTS_SRV

SAP_FI_BPL_FIXVARIABLE

Fix/Variable Code

Assign to #

SAP_FI_BPL_CODEBITCREDITCODE Controlling Debit Credit Code

API_CONTROLLINGDEBITCREDIT CODE_SRV

SAP_ALL_PROFITCENTER

Profit Center

API_PROFITCENTER_SRV

SAP_ALL_FUNCTIOANLAREA

Functional Area

API_FUNCTIONALAREA_SRV

Transaction Data Mapping

Name

Description

API_JOURNALENTRYITEMBASIC_SRV API Journal Entry Item (ACDOCA)

API_FINPLANNINGENTRYITEM_SRV API Financial Planning Entry Item (ACDOCP)

 Note
* Private dimension, other dimensions are public

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2.24.2.2 Product Cost Planning (SAP__FI_BPL_IM_PRODUCTCOST)

Model Name: SAP__FI_BPL_IM_PRODUCTCOST

 Model Description: Product Cost Planning  Planning Enabled: Yes

Account Dimension ID MEASURE* Dimensions Name Date SAP_ALL_COMPANY_CODE SAP_ALL_PRODUCT SAP_ALL_PLANT SAP_ALL_MATERIAL SAP_FI_BPL_COMPONENTPLANT SAP_ALL_COSTCENTER SAP_FI_BPL_CCACTIVITYTYPE SAP_FI_BPL_GLACCOUNT

Description Measure
Description Time Company Code Sold Product Plant
Component Plant Cost Center Cost Center Activity Type GL Account

SAP_FI_BPL_FIXVARIABLE

Fix/Variable Code

SAP_FI_BPL_QUANTITY_UNIT

Quantity Unit

SAP_FI_BPL_LOTSIZE_UNIT

Lot Size Unit

SAP_FI_BPL_SALESQUANTITY_UNIT Sales Quantity Unit

SAP_FI_BPL_COMPQUANTITY_UNIT Component Quantity Unit

Transaction Data Mapping

Name

Description

API_FINPLAN_COSTESTIMATE_ITEMS API for Cost Estimate Items

 Note
* Private dimension, other dimensions are public

Connection SAP S/4HANA Import Connection "FP&A"
Mapping/Formula n.a.
Mapping n.a. API_COMPANYCODE_SRV API_PRODUCT_SRV API_PLANT_SRV API_PRODUCT_SRV API_PLANT_SRV API_COSTCENTER_SRV API_COSTCENTERACTIVITYTYPE_SRV API_GLACCOUNTINCHARTOFAC COUNTS_SRV n.a. C_FINUNITOFMEASURE_SRV C_FINUNITOFMEASURE_SRV C_FINUNITOFMEASURE_SRV C_FINUNITOFMEASURE_SRV

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2.24.2.3 Sales and Profitability Planning (SAP__FI_BPL_IM_PROFITABILITY)

Model Name: SAP__FI_BPL_IM_PROFITABILITY

Connection

 Model Description: Sales and Profitability Planning  Planning Enabled: Yes

SAP S/4HANA Import Connection "FP&A"

Account Dimension

ID

Description

Mapping/Formula

MEASURE*

Measure

n.a.

Dimensions

Name

Description

Mapping

Date

Time

n.a.

SAP_ALL_COMPANY_CODE

Company Code

API_COMPANYCODE_SRV

SAP_ALL_PRODUCT

SoldProduct

API_PRODUCT_SRV

SAP_ALL_PLANT

Plant

API_PLANT_SRV

SAP_ALL_CUSTOMER

Customer

API_BUSINESS_PARTNER

SAP_ALL_PROFITCENTER

Profit Center

API_PROFITCENTER_SRV

SAP_FI_BPL_GLACCOUNT

GL Account

API_GLACCOUNTINCHARTOFAC COUNTS_SRV

SAP_FI_BPL_QUANTITY_UNIT

Quantity Unit

C_FINUNITOFMEASURE_SRV

SAP_FI_BPL_FIXVARIABLE

Fix/Variable Code

n.a.

SAP_ALL_FUNCTIONALAREA

Functional Area

API_FUNCTIONALAREA_SRV

Transaction Data Mapping

Name

Description

API_JOURNALENTRYITEMBASIC_SRV API Journal Entry Item (ACDOCA)

API_FINPLANNINGENTRYITEM_SRV API Financial Planning Entry Item (ACDOCP)

 Note
* Private dimension, other dimensions are public

2.24.2.4 Project Planning (SAP__FI_BPL_IM_PROJECT)

Model Name: SAP__FI_BPL_IM_PROJECT
 Model Description: Project Planning  Planning Enabled: Yes

Connection
SAP S/4HANA Import Connection "FP&A"

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Model Name: SAP__FI_BPL_IM_PROJECT

Account Dimension

ID

Description

MEASURE*

Measure

Dimensions

Name

Description

Date

Time

SAP_ALL_COMPANY_CODE

Company Code

SAP_ALL_PROFITCENTER

Profit Center

SAP_FI_BPL_GLACCOUNT

GL Account

SAP_ALL_PROJECT_WBSELEMENT WBS Element
 Note
* Private dimension, other dimensions are public.

Connection
Mapping/Formula n.a.
Mapping n.a. API_COMPANYCODE_SRV API_PROFITCENTER_SRV API_GLACCOUNTINCHARTOFAC COUNTS_SRV API_FINWBSELEMENT_SRV

2.24.2.5 Internal Order Planning (SAP__FI_BPL_IM_INTERNAL_ORDER)

Model Name: SAP__FI_BPL_IM_INTERNAL_ORDER

 Model Description: Internal Order Planning  Planning Enabled: Yes

Account Dimension

ID

Description

MEASURE*

Measure

Dimensions

Name

Description

Date

Time

SAP_ALL_PROFITCENTER

Profit Center

SAP_FI_BPL_GLACCOUNT

GL Account

SAP_FI_BPL_INTERNAL_ORDER

Internal Order

 Note
 Private dimension, other dimensions are public

Connection  SAP S/4HANA Import Connection
"FP&A"
Mapping/Formula n.a.
Mapping n.a. API_PROFITCENTER_SRV API_GLACCOUNTINCHARTOFAC COUNTS_SRV API_INTERNALORDER_SRV

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2.24.2.6 Investment Planning (SAP__FI_BPL_IM_CAPEX)

Model Name: SAP__FI_BPL_IM_CAPEX

 Model Description:Investment Planning  Planning Enabled: Yes

Account Dimension

ID

Description

MEASURE*

Measure

Dimensions

Name

Description

Date

Time

SAP_ALL_PROFITCENTER

Profit Center

SAP_FI_BPL_GLACCOUNT

GL Account

SAP_ALL_COMPANY_CODE

Company Code

 Note
 Private dimension, other dimensions are public

Connection  SAP S/4HANA Import Connection
"FP&A"
Mapping/Formula n.a.
Mapping n.a. API_PROFITCENTER_SRV API_GLACCOUNTINCHARTOFAC COUNTS_SRV API_COMPANYCODE_SRV

2.24.2.7 Financial Statement Planning (SAP__FI_BPL_IM_FINANCIAL_STATEMENT)

Model Name: SAP__FI_BPL_IM_FINANCIAL_STATEMENT

 Model Description: Financial Statement Planning  Planning Enabled: Yes

Account Dimension ID MEASURE* Dimensions Name Date SAP_ALL_COMPANY_CODE SAP_FI_BPL_GLACCOUNT

Description Measure
Description Time Company Code GL Account

SAP_ALL_PROFITCENTER

Profit Center

Connection SAP S/4HANA Import Connection "FP&A"
Mapping/Formula n.a.
Mapping n.a. API_COMPANYCODE_SRV API_GLACCOUNTINCHARTOFAC COUNTS_SRV API_PROFITCENTER_SRV

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Model Name: SAP__FI_BPL_IM_FINANCIAL_STATEMENT

SAP_ALL_FUNCTIOANLAREA

Functional Area

SAP_ALL_TRADINGPARTNER

Trading Partner

Transaction Data Mapping

Name

Description

UI_FINS_GLACCOUNTFLOW

GL Account Balance Flow

 Note
* Private dimension, other dimensions are public

Connection API_FUNCTIONALAREA_SRV API_PARTNERCOMPANY_SRV

2.24.3 Stories
2.24.3.1 Stories for Cost Center Planning and Budgeting
 SAP Finance: BPL - Cost Center Planning Administration (SAP__FI_BPL_IM_COSTCENTER_PLAN_ADMIN)
 SAP Finance: BPL - Plan Cost Center Expenses (SAP__FI_BPL_IM_COSTCENTER_EXPENSES)
 SAP Finance: BPL - Plan Cost Center Cost Rates and Output Quantities (SAP__FI_BPL_IM_COSTCENTER_ACTIVITYPRICE_INPUT)
 SAP Finance: BPL - Calculate Cost Center Cost Rates (SAP__FI_BPL_IM_COSTCENTER_ACTIVITYPRICE_CALCULATION)
 SAP Finance: BPL - Cost Center Budgeting (SAP__FI_BPL_IM_COSTCENTER_BUDGET)
 SAP Finance: BPL - Cost Center Reporting (SAP__FI_BPL_IM_COSTCENTER_REPORTS)
 SAP Finance: BPL - Cost Center Analytics (SAP__FI_BPL_IM_COSTCENTER_ANALYTICS)

2.24.3.1.1 BPL - Cost Center Planning Administration (SAP__FI_BPL_IM_COSTCENTER_PLAN_ADMIN)
This story allows the planning administrator to maintain planning drivers (cost center distribution factors, activity type splitting factors, fix/variable splitting factors, activity allocation factors, activity relations) and execute planning functions across cost centers.
This story uses the following data actions:  Indirect activity allocation
(SAP__FI_BPL_IM_COSTCENTER_ACTIVITY_ALLOCATION)

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 Cost center activity type splitting (SAP__FI_BPL_IM_COSTCENTER_ACTIVITYTYPESPLIT)
 Assessment (SAP__FI_BPL_IM_COSTCENTER_ASSESSMENT)
 Create cost enter budget proposal on control parameters (SAP__FI_BPL_IM_COSTCENTER_BUDGET_CTL_PARAMS)
 Create Budget Sample Data (SAP__FI_BPL_IM_COSTCENTER_BUDGET_SAMPLE_DATA)
 Calculate activity quantities inversely (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_ACTIVITY_QUANTITY)
 Calculate activity costs (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_COSTS)
 Calculate activity cost rates (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_PRICE)
 Clear version (SAP__FI_BPL_IM_COSTCENTER_CLEAR_VERSION)
 Copy actual credit quantities (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTCREDITQUAN)
 Derive activity cost rates from actuals (SAP__FI_BPL_IM_COSTCENTER_DERIVE_ACTIVITY_PRICES)
 Copy actual debit amounts (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTDEBITS)
 Copy activity quantities from product cost planning (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTIVITYQUANTITY_FROM_PRODUCTCOST)
 Copy overhead costs from product cost planning (SAP__FI_BPL_IM_COSTCENTER_COPY_OVEREHADS_FROM_PRODUCTCOST)
 Copy cost center plan to budget (SAP__FI_BPL_IM_COSTCENTER_COPY_PLAN)
 Create actual sample data (SAP__FI_BPL_IM_ COSTCENTER_CREATE_ACTUAL_SAMPLE_DATA)
 Create plan sample data (SAP__FI_BPL_IM_COSTCENTER_CREATE_PLAN_SAMPLE_DATA)
 Cost center distribution (SAP__FI_BPL_IM_COSTCENTER_DISTRIBUTION)
 Cost center fix variable splitting (SAP__FI_BPL_IM_COSTCENTER_FIXVARSPLIT)
 Derive Profit Center and Functional Area based on Cost Center or Account Attribute (SAP__FI_BPL_IM_COSTCENTER_PCTR_FA_DERIVATION)
 Create cost center plan proposal based on control parameters (SAP__FI_BPL_IM_COSTCENTER_PLAN_CTL_PARAMS)
and allows the following allocations (all allocations are also available as data action)
 Indirect activity allocation (SAP__FI_BPL_IM_ COSTCENTER _ACTIVITY_ALLOCATION)
 Cost center activity type splitting (SAP__FI_BPL_IM_ COSTCENTER _ACTIVITYTYPESPLIT)
 Cost center fix variable splitting (SAP__FI_BPL_IM_ COSTCENTER _FIXVARSPLIT)

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 Cost center distribution (SAP__FI_BPL_IM_COSTCENTER_DISTRIBUTION)

2.24.3.1.2 BPL - Plan Cost Center Expenses (SAP__FI_BPL_IM_COSTCENTER_EXPENSES)
This story allows to copy actual expenses from last year as a planning proposal and then manually adjust the plan figures. After the manual planning process, expenses can be allocated to other cost centers based on the drivers that have been maintained in the plan admin story.
This story uses the following data actions
 Assessment: (SAP__FI_BPL_IM_COSTCENTER_ASSESSMENT)  Copy actual debit amounts: (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTDEBITS)  Cost center distribution: (SAP__FI_BPL_IM_COSTCENTER_DISTRIBUTION)  Create cost center plan proposal based on control parameters:
(SAP__FI_BPL_IM_COSTCENTER_PLAN_CTL_PARAMS)
and allows the following allocations (all allocations are also available as data action)
Cost center distribution: (SAP__FI_BPL_IM_COSTCENTER_DISTRIBUTION)

2.24.3.1.3 BPL - Plan Cost Center Cost Rates and Output Quantities (SAP__FI_BPL_IM_COSTCENTER_ACTIVITYPRICE _INPUT)
The actual data from last year serve as a planning proposal for the activity output quantities and activity cost rates. Output quantities and prices can be adjusted manually - both on an aggregated level or in a detailed way on partner cost centers - and then the costs are calculated by simple multiplication of quantity and prices.
Output quantities also can be determined automatically from the receiving cost centers via the "Inverse calculation of activity quantities" and the total activity output can be distributed to receiving cost centers via an allocation rule ("indirect activity allocation").
The capacity of a cost center can be planned manually and compared with the planned activity output.
This story uses the following data actions:
 Indirect activity allocation: (SAP__FI_BPL_IM_COSTCENTER_ACTIVITY_ALLOCATION)  Calculate activity quantities inversely:
(SAP__FI_BPL_IM_COSTCENTER_CALCULATE_ACTIVITY_QUANTITY)  Calculate activity costs: (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_COSTS)  Derive activity cost rates from actuals: (SAP__FI_BPL_IM_COSTCENTER_DERIVE_ACTIVITY_PRICES)
and allows the following allocations (all allocations are also available as data action)
 Indirect activity allocation: (SAP__FI_BPL_IM_ COSTCENTER _ACTIVITY_ALLOCATION)

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2.24.3.1.4 BPL - Calculate Cost Center Cost Rates
The cost center expense planning is the basis for this process.
The activity independent expenses are allocated to activity types based on the splitting factors that have been maintained in the plan admin story. Activity dependent expenses can also be planned manually.
There are two ways how to generate a proposal for the total activity quantities:
Either copy from last year's actuals same as in the story SAP Finance: BPL - Plan Cost Center Cost Rates and Output Quantities
Or copy from resource calculation (see story SAP Finance: BPL - Resources)
After that, the activity cost rate is calculated by dividing the activity dependent costs by the planned activity quantity. Note that the activity cost rate calculation is not iterative, i.e. it is suited for final cost centers (e.g. production cost centers) or in a step-down approach.
Optionally, the activity dependent expenses can be splitted to fix and variable portions based on the driver maintained in the plan admin story. The activity cost rate calculation then splits the activity cost rates also by fix and variable portions.
This story uses the following data actions
 Cost center activity type splitting: (SAP__FI_BPL_IM_COSTCENTER_ACTIVITYTYPESPLIT)  Calculate activity cost rates: (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_PRICE)  Copy actual credit quantities: (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTCREDITQUAN)  Copy actual debit amounts: (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTDEBITS)  Copy activity quantities from product cost planning:
(SAP__FI_BPL_IM_COSTCENTER_COPY_ACTIVITYQUANTITY_FROM_PRODUCTCOST)  Copy overhead costs from product cost planning:
(SAP__FI_BPL_IM_COSTCENTER_COPY_OVEREHADS_FROM_PRODUCTCOST)  Cost center fix variable splitting: (SAP__FI_BPL_IM_COSTCENTER_FIXVARSPLIT)
and allows the following allocations (all allocations are also available as data action)
 Cost center activity type splitting: (SAP__FI_BPL_IM_ COSTCENTER _ACTIVITYTYPESPLIT)  Cost center fix variable splitting: (SAP__FI_BPL_IM_ COSTCENTER _FIXVARSPLIT)

2.24.3.1.5 BPL - Cost Center Budgeting (SAP__FI_BPL_IM_COSTCENTER_BUDGET)
This content facilities the Cost Center Budgeting process by applying control parameters to expense accounts using historical or driver factors.
This story uses the following data actions:  Populate calculations for closed actual periods
(SAP__FI_BPL_IM_COSTCENTER_ANALYSE_DATA)  Create cost enter budget proposal on control parameters
(SAP__FI_BPL_IM_ COSTCENTER_BUDGET_CTL_PARAMS)

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 Copy Costcenter Plan to Budget (SAP__FI_BPL_IM_COSTCENTER_COPY_PLAN)
 Populate control drivers for closed budget periods (SAP__FI_BPL_IM_COSTCENTER_CTL_DRIVERS)

2.24.3.1.6 Cost Center Reporting (SAP__FI_BPL_IM_COSTCENTER_REPORTS)
This story has tabs for viewing expenses, expenses by cost center and activity quantities. The reports allow the planner to analyze several views of expenses and activity quantities including filtering by company code, cost center, profit center and version.

2.24.3.1.7 Cost Center Analytics (SAP__FI_BPL_IM_COSTCENTER_ANALYTICS)
This story has tabs for cost center metrics and visualizations. The reports allow the planner to view high-level metrics and utilize visualizations to drill-down for detailed analysis.

2.24.3.2 Stories for Product Cost Planning
 SAP Finance: BPL - Product Cost Planning Administration (SAP__FI_BPL_IM_PRODUCTCOST_PLAN_ADMIN)
 SAP Finance: BPL - Product Cost Rates (SAP__FI_BPL_IM_PRODUCTCOST_RATES)
 SAP Finance: BPL - Resources (SAP__FI_BPL_IM_PRODUCTCOST_RESOURCES)
 BPL - Product Cost Reports (SAP__FI_BPL_IM_PRODUCTCOST_REPORTS)
 BPL - Product Cost Analytics (SAP__FI_BPL_IM_PRODUCTCOST_ANALYTICS)

2.24.3.2.1 BPL - Product Planning Administration (SAP__FI_BPL_IM_PRODUCTCOST_PLAN_ADMIN)
This story allows the planning administrator to prepare a product cost plan from a cost estimate in S/4. As a prerequisite the cost estimate needs to be imported into the plan version "CostEstimate". From the cost estimate in this plan version the quantity structure (raw material and activity type quantities per lot size of the

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finished product), raw material prices, activity cost rates and overhead costs are derived and stored into plan version "Plan".
Further on the planning administrator can copy the sales quantities from the sales planning and calculate the resource consumption (total raw material quantity and activity quantity) from the quantity structure.
This story uses the following data actions
 Calculate overhead costs: (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_OVERHEADS)  Calculate product cost rates: (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RATES)  Calculate resources: (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RESOURCES)  Clear version: (SAP__FI_BPL_IM_PRODUCTCOST_CLEAR_VERSION)  Copy activity cost rates from cost center planning:
(SAP__FI_BPL_IM_PRODUCTCOST_COPY_ACTIVITY_PRICES)  Copy sales quantities: (SAP__FI_BPL_IM_PRODUCTCOST_COPY_SALES_QUANTITIES)  Create sample data: (SAP__FI_BPL_IM_PRODUCTCOST_CREATE_SAMPLE_DATA)  Derive activity cost rates from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_ACTIVIY_PRICES)  Derive overhead costs from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_OVERHEAD_COSTS)  Derive quantity structure from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_QUANTITY_STRUCTURE)  Derive raw material prices from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_RAW_MATERIAL_PRICES)

2.24.3.2.2 BPL - Product Cost Rates (SAP__FI_BPL_IM_PRODUCTCOST_RATES)
This story shows the proposals for the quantity structure, raw material prices, activity cost rates, overhead costs that were created by the administrator.
It even allows to create these proposals again via the respective data actions on the first five tabs. These proposals can be overwritten manually, and the new product costs are calculated on the last two tabs.
This story uses the following data actions
 Calculate product cost rates: (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RATES)  Copy activity cost rates from cost center planning:
(SAP__FI_BPL_IM_PRODUCTCOST_COPY_ACTIVITY_PRICES)  Derive activity cost rates from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_ACTIVIY_PRICES)  Derive overhead costs from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_OVERHEAD_COSTS)  Derive quantity structure from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_QUANTITY_STRUCTURE)  Derive raw material prices from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_RAW_MATERIAL_PRICES)

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2.24.3.2.3 BPL - Resources (SAP__FI_BPL_IM_PRODUCTCOST_RESOURCES)
This story allows to calculate the resource consumption (total raw material quantity and activity quantity) based on the sales quantities and the quantity structure. The corresponding data actions can be executed either within this story or within the Administrator story. In the latter case, this story here only is used to control the results.
This story uses the following data actions:
 Calculate Overhead Costs: (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_OVERHEADS)  Calculate Resources: (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RESOURCES)  Copy sales quantities: (SAP__FI_BPL_IM_PRODUCTCOST_COPY_SALES_QUANTITIES)  Derive quantity structure from cost estimate:
(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_QUANTITY_STRUCTURE)

2.24.3.2.4 BPL - Product Cost Reports (SAP__FI_BPL_IM_PRODUCTCOST_REPORTS)
This story has a report for analyzing and drilling into product cost details with detailed analysis of cost and quantity for the following dimensions: Plant, Resource, G/L Account, Lot Size Unit, and Fix/Variable Code.

2.24.3.2.5 BPL - Product Cost Analytics (SAP__FI_BPL_IM_PRODUCTCOST_ANALYTICS)
This story has tabs for product cost metrics and visualizations. The reports allows the planner to view highlevel metrics and utilize visualizations to drill-down for detailed analysis.

2.24.3.3 Stories for Sales and Profitability Planning
 SAP Finance: BPL - Sales & Profitability Planning Administration (SAP__FI_BPL_IM_PROFITABILITY_PLAN_ADMIN)
 SAP Finance: BPL - Sales & Profitability Planning (SAP__FI_BPL_IM_PROFITABILITY_PROF_INPUT)
 SAP Finance: BPL - Sales Planning (SAP__FI_BPL_IM_PROFITABILITY_REV_INPUT)
 SAP Finance: BPL - Sales & Profitability Reporting (SAP__FI_BPL_IM_PROFITABILITY_REPORTS)
 SAP Finance: BPL - Sales & Profitability Analytics (SAP__FI_BPL_IM_PROFITABILITY_ANALYTICS)

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2.24.3.3.1 BPL - Sales & Profitability Planning Administration (SAP__FI_BPL_IM_ PROFITABILITY_PLAN_ADMIN)
This story allows the planner to create sample data and execute data actions grouped by planning scenario.
This story uses the following data actions:
 Calculate Profitability: (SAP__FI_BPL_IM_PROFITABILITY_CALC_PROFIT)  Clear Version: (SAP__FI_BPL_IM_PROFITABILITY_CLEAR_VERSION)  Copy Quantities from Actuals: (SAP__FI_BPL_IM_PROFITABILITY_COPY_ACT)  Copy product cost rates: (SAP__FI_BPL_IM_PROFITABILITY_COPY_PRODUCTCOSTRATES)  Derive product cost rates from actuals:
(SAP__FI_BPL_IM_PROFITABILITY_DERIVE_PRODUCTCOSTRATES)  Create Sample Data: (SAP__FI_BPL_IM_PROFITABILITY_SAMPLE_DATA)  Apply Control Parameters: (SAP__FI_BPL_IM_PROFITABILITY_CREATE_CTL_PARAMS)  Derive Functional Area: (SAP__FI_BPL_IM_PROFITABILITY_FA_DERIVATION)

2.24.3.3.2 BPL - Sales & Profitability Planning (SAP__FI_BPL_IM_PROFITABILITY_PROF_INPUT)
This story has multiple tabs allowing the planner to maintain planning drivers (price, quantity, sales deduction %, product cost rates) and execute planning functions across customers and products.
This story uses the following data actions:
 Calculate Profitability (SAP__FI_BPL_IM_PROFITABILITY_CALC_PROFIT)
 Copy Quantities from Actuals (SAP_FI_BPL_IM_PROFITABILITY_COPY_ACT)
 Copy product cost rates (SAP__FI_BPL_IM_PROFITABILITY_COPY_PRODUCTCOSTRATES)
 Derive product cost rates from actuals (SAP__FI_BPL_IM_PROFITABILITY_DERIVE_PRODUCTCOSTRATES)
 Apply Control Parameters (SAP__FI_BPL_IM_PROFITABILITY_CREATE_CTL_PARAMS)

2.24.3.3.3 BPL - Sales Planning (SAP__FI_BPL_IM_PROFITABILITY_REV_INPUT)
This story has multiple tabs allowing the planner to maintain planning drivers (price, quantity, sales deduction %) and execute planning functions across customers and products. This story uses the following data actions:

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 Calculate Profitability: (SAP__FI_BPL_IM_PROFITABILITY_CALC_PROFIT)
 Copy Actual to Plan: (SAP__FI_BPL_IM_PROFITABILITY_COPY_ACT)
 Sales Quantity: (SAP__FI_BPL_IM_PROFITABILITY_CREATE_CTL_PARAMS)

2.24.3.3.4 BPL - Sales & Profitability Reporting (SAP__FI_BPL_IM_PROFITABILITY_REPORTS)
This story has tabs for gross margin and quantity reporting. The reports allow the planner to analyze several views of gross margin including filtering by company code, profit center, customer, product and plant.

2.24.3.3.5 BPL - Sales & Profitability Analytics (SAP__FI_BPL_IM_PROFITABILITY_ANALYTICS)
This story has tabs for profitability, customer, product and plant metrics and visualizations. The reports allow the planner to view high-level metrics and utilize visualizations to view detailed analysis.

2.24.3.4 Stories for Project Planning
 SAP Finance: BPL - Project Administration (SAP__FI_BPL_IM_PROJECT_PLAN_ADMIN)
 SAP Finance: BPL - Project Planning and Budgeting (SAP__FI_BPL_IM_PROJECT_PLANNING_AND_BUDGETING)

2.24.3.4.1 BPL - Project Administration (SAP__FI_BPL_IM_PROJECT_PLAN_ADMIN)
This story allows the planning administrator to prepare plan and budget data and execute planning functions to perform the profit center derivation based on the master data.
This story uses the following data actions:  Create budget sample data: (SAP__FI_BPL_IM_PROJECT_BUDGET_SAMPLE_DATA)  Clear Version: (SAP__FI_BPL_IM_PROJECT_CLEAR_VERSION)  Copy cost center plan to budget: (SAP__FI_BPL_IM_PROJECT_COPY_PLAN)  Create plan sample data: (SAP__FI_BPL_IM_PROJECT_CREATE_PLAN_SAMPLE_DATA)

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 Derive Profit Center based on WBS Element Attribute: (SAP__FI_BPL_IM_PROJECT_PCTR_DERIVATION)
2.24.3.4.2 BPL - Project Planning & Budgeting (SAP__FI_BPL_IM_PROJECT_PLANNING_AND_BU DGETING)
This story allows the planner to plan data based on WBS elements and copy plan data into budget version. This story uses the following data actions:  Copy project plan to budget: (SAP__FI_BPL_IM_PROJECT_COPY_PLAN)
2.24.3.5 Stories for Internal Order Planning
 SAP Finance: BPL - Internal Order Administration: (SAP__FI_BPL_IM_INTERNAL_ORDER_PLAN_ADMIN)
 SAP Finance: BPL - Internal Order Planning (SAP__FI_BPL_IM_INTERNAL_ORDER_PLANNING)
2.24.3.5.1 BPL - Internal Order Administration (SAP__FI_BPL_IM_INTERNAL_ORDER_PLAN_ADM IN)
This story allows the planning administrator to prepare plan data and execute planning functions to perform the profit center derivation based on the master data. This story uses the following data actions:  Clear Version: (SAP__FI_BPL_IM_INTERNAL_ORDER_CLEAR_VERSION)  Create plan sample data: (SAP__FI_BPL_IM_INTERNAL_ORDER_CREATE_PLAN_SAMPLE_DATA)  Derive Profit Center based on Internal Order Attribute:
(SAP__FI_BPL_IM_INTERNAL_ORDER_PCTR_DERIVATION)

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2.24.3.5.2 BPL - Internal Order Planning (SAP__FI_BPL_IM_INTERNAL_ORDER_PLANNING )
This story allows the planner to plan data based on Internal Orders.

2.24.3.6 Stories for Investment Planning
 SAP Finance: BPL - Investment Planning Administration (SAP__FI_BPL_IM_CAPEX_PLAN_ADMIN)  SAP Finance: BPL - Investment Planning (SAP__FI_BPL_IM_CAPEX_PLANNING)

2.24.3.6.1 SAP Finance: BPL - Investment Planning Administration (SAP__FI_BPL_IM_CAPEX_PLAN_ADMIN)
This story allows the planning administrator to create or clear sample data, to maintain new investments and depreciation parameter settings for several profit centers, and to execute planning function to calculate the depreciation.
This story uses the following data actions.
 Clear Version (SAP__FI_BPL_IM_CAPEX_CLEAR_VERSION)  Create actual sample data (SAP__FI_BPL_IM_CAPEX_CREATE_ACT_SAMPLE_DATA)
 Create plan sample data (SAP__FI_BPL_IM_CAPEX_CREATE_PLAN_SAMPLE_DATA)  Copy actual investment amounts to plan (SAP__FI_BPL_IM_CAPEX_COPY_ACT_INVESTMENTS)  Calculate Depreciation (SAP__FI_BPL_IM_CAPEX_CALCULATE_DEPRECIATION)

2.24.3.6.2 SAP Finance: BPL - Investment Planning (SAP__FI_BPL_IM_CAPEX_PLANNING)
This story allows the planner to plan investments / capital expenditure such as buildings, vehicles, equipment, or land for a profit center. It also allows to maintain the depreciation parameters and to calculate the resulting depreciation plan amounts via straight-line or accelerated depreciation method.
This story uses the following data actions.  Copy actual investment amounts to plan (SAP__FI_BPL_IM_CAPEX_COPY_ACT_INVESTMENTS)  Calculate Depreciation (SAP__FI_BPL_IM_CAPEX_CALCULATE_DEPRECIATION)

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2.24.3.7 Stories for Financial Statement Planning
 SAP Finance: BPL - Financial Statement Planning Administration (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_PLAN_ADMIN)
 SAP Finance: BPL - Financial Statement Planning (SAP__FI_BPL_IM_ FINANCIAL_STATEMENT_PLANNING)
 SAP Finance: BPL - Financial Statement Reporting (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_REPORTS)
 SAP Finance: BPL - Financial Statement Planning Analytics (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_ANALYTICS)

2.24.3.7.1 BPL - Financial Statement Planning Administration (SAP__FI_BPL_IM_ FINANCIAL_STATEMENT _PLAN_ADMIN)
This story allows the planner to create sample data, maintain trading partner allocation factors and execute data actions for the planning scenario.
This story uses the following data actions:
 Financial Statement Balance Sheet Carry Forward (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BS_CRYFWD)
 Financial Statement Cash Flow (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CASHFLOW)
 Clear Version (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CLEAR_VERSION)
 Create sample data (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_SAMPLE_DATA)
 Copy plan sample data (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CREATE_PLAN_SAMPLE_DATA)
 Copy gross margin amounts from profitability plan (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_PROFITABILITY)
 Copy operational expense amounts from cost center plan (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_COSTCENTER)
 Create company code plan proposal based on control parameters (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_PLAN_CTL_PARAMS)
 Financial Statement Balance Sheet Carry Forward (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BS_CRYFWD)
 Get trading partner allocation factors from actual data (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TP_ALLOC_FACTOR_FROM_ACTUAl)
 Allocate amounts on trading partner (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TP_ALLOCATION)
 Copy actual amounts to plan (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_ACTUALS)
 Copy investments and depreciation amounts from investment plan

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(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_CAPEX)
2.24.3.7.2 BPL - Financial Statement Planning (SAP__FI_BPL_IM_ FINANCIAL_STATEMENT _PLANNING)
This story has tabs for profit & loss planning, balance sheet planning, balance sheet reporting and cash flow planning. It allows the planner to execute planning functions to copy last year's actuals or data from other planning models, perform trading partner allocation, carry forward the balance sheet and generate the cash flow statement.
This story uses the following data actions  Copy actual amounts to plan
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_ACTUALS)  Copy gross margin amounts from profitability plan:
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_PROFITABILITY)  Copy operational expense amounts from cost center plan:
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_COSTCENTER)  Allocate amounts on trading partner: (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TP_ALLOCATION)  Copy investments and depreciation amounts from investment plan
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_CAPEX)  Financial Statement Cash Flow
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CASHFLOW)  Create company code plan proposal based on control parameters
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_PLAN_CTL_PARAMS)  Financial Statement Balance Sheet Carry Forward:
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BS_CRYFWD)
2.24.3.7.3 BPL - Financial Statement Reports (SAP__FI_BPL_IM_FINANCIAL_STATEMENT _REPORTS)
This story has tabs for profit & loss, balance sheet, and cash flow plan reporting. The reports allow the planner to analyze several views of profit & loss, balance sheet and cash flow including filtering by company code, profit center, functional area and trading partner.

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2.24.3.7.4 BPL - Financial Statement Analytics (SAP__FI_BPL_IM_FINANCIAL_STATEMENT _ANALYTICS)
This story has tabs for profit & loss and balance sheet metrics and visualizations. The reports allow the planner to view high-level metrics and utilize visualizations to drill-down for detailed analysis.
2.24.4 Analytic Applications
2.24.4.1 Analytic Application for Cross Model Simulation

Cross Model Simulation Cockpit (SAP__FI_BPL_IM_CROSS_SIMULATION_COCKPIT)
This application allows stakeholders in management or a central controlling department to perform what-if simulations for sample processes based on changes to drivers, such as sales quantity or personnel expenses.
As a controller, you may want to know the effect of changing the quantity of a sales product or the price of a raw material. After you have identified the driver you want to change and the corresponding simulation scenario, you can start the corresponding simulation. You are then guided step-by-step through the planning process. You can change the drivers, perform the corresponding data actions, and check the intermediate result in the reports. At the end of each simulation scenario, you can see the impact on the most important KPIs, for example, product profitability and your P&L statement.
This application uses the following data actions
- Split expenses and calculate prices with profit center and functional area derivation (SAP__FI_BPL_IM_COSTCENTER_BUNDLE_EXPENSES_CALC_ACT_PRICE)
- Calculate activity quantities, costs and prices with functional area derivation (SAP__FI_BPL_IM_COSTCENTER_BUNDLE_SALES_CALC_ACT_PRICE)
- Copy manufacturing overhead costs from product cost planning (SAP__FI_BPL_IM_COSTCENTER_COPY_OVERHEADS_FROM_PRODUCTCOST)
- Copy data from a source into a target version (SAP__FI_BPL_IM_COSTCENTER_COPY_SOURCE_TO_TARGET_VERSION)
- Allocate Expenses (SAP__FI_BPL_IM_COSTCENTER_EXPENSE_ALLOCATION)
- Calculate Profit and Loss (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BUNDLE_CALCULATE_P&L)
- Calculate Balance Sheet and Cash Flow (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BUNDLE_CALCULATE_BS_CF)

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- Copy data from a source into a target version (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_SOURCE_TO_TARGET_VERSION) - Copy prices and calculate product costs and overheads (SAP__FI_BPL_IM_PRODUCTCOST_BUNDLE_COPY_PRICE_CALC_PRODCOST_AND_OVERHEADS) - Copy sales quantities and calculate resources (SAP__FI_BPL_IM_PRODUCTCOST_BUNDLE_SALES_COPY_SALESQUANT_CALC_RESOURCES) - Copy data from a source into a target version (SAP__FI_BPL_IM_PRODUCTCOST_COPY_SOURCE_TO_TARGET_VERSION) - Copy product cost rates, calculate profitability and functional area derivation (SAP__FI_BPL_IM_PROFITABILITY_BUNDLE_COPY_PRODUCTCOSTRATES_CALC_PROFIT) - Copy data from a source into a target version (SAP__FI_BPL_IM_PROFITABILITY_COPY_SOURCE_TO_TARGET_VERSION)
2.24.5 Allocation Processes
2.24.5.1 Allocation Processes for Cost Center Planning and Budgeting
Cost center distribution (SAP_FI_BPL_IM_COSTCENTER_DISTRIBUTION)
Distribute cost center costs between cost centers based on a driver that is maintained on cost center level.

Cost center activity type splitting (SAP_FI_BPL_IM_COSTCENTER_ACTIVITYTYPESPLIT)
Distribute cost center costs down to activity types based on a driver that is maintained on cost center / activity type level.

Cost center fix variable splitting (SAP__FI_BPL_IM_COSTCENTER_FIXVARSPLIT)
Split cost center /activity type costs by fix and variable parts based on a driver that is maintained on GL account level.

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Indirect activity allocation (SAP__FI_BPL_IM_COSTCENTER_ACTIVITY_ALLOCATION)
Allocate the total activity output of a sender cost center to the receiving cost centers.
2.24.5.2 Allocation Processes for Financial Statement Planning

Allocate Trading Partner (SAP_FI_BPL_IM_FINSTA_ALLOCATE_TRADING_PARTNER)
Allocate P&L amounts on trading partners based on a driver 'Trading Partner Allocation Factor'. The driver is maintained in the admin story per company code on GL account level.

2.24.6 Data Actions
2.24.6.1 Data Actions for Cost Center Planning and Budgeting
 Indirect activity allocation (SAP__FI_BPL_IM_COSTCENTER_ACTIVITY_ALLOCATION)
 Cost center activity type splitting (SAP__FI_BPL_IM_COSTCENTER_ACTIVITYTYPESPLIT)
 Populate calculations for closed actual periods (SAP__FI_BPL_IM_COSTCENTER_ANALYSE_DATA)
 Create cost center budget proposal on control parameters (SAP__FI_BPL_IM_COSTCENTER_BUDGET_CTL_PARAMS)
 Create budget sample data (SAP__FI_BPL_IM_COSTCENTER_BUDGET_SAMPLE_DATA)
 Split expenses and calculate prices with profit center and functional area derivation (SAP__FI_BPL_IM_COSTCENTER_BUNDLE_EXPENSES_CALC_ACT_PRICE)
 Calculate activity quantities, costs and prices with functional area derivation (SAP__FI_BPL_IM_COSTCENTER_BUNDLE_SALES_CALC_ACT_PRICE)
 Calculate activity quantities inversely (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_ACTIVITY_QUANTITY)
 Calculate activity costs (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_COSTS)

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 Calculate activity cost rates (SAP__FI_BPL_IM_COSTCENTER_CALCULATE_PRICE)
 Clear version (SAP__FI_BPL_IM_COSTCENTER_CLEAR_VERSION)
 Copy actual credit quantities (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTCREDITQUAN)
 Derive activity cost rates from actuals (SAP__FI_BPL_IM_COSTCENTER_DERIVE_ACTIVITY_PRICES)
 Copy actual debit amount (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTDEBITS)
 Copy activity quantities from product cost planning (SAP__FI_BPL_IM_COSTCENTER_COPY_ACTIVITYQUANTITY_FROM_PRODUCTCOST)
 Copy Budget from Cost Center Plan (SAP__FI_BPL_IM_COSTCENTER_COPY_BUDGET_FROM_PLAN)
 Copy manufacturing overhead costs from product cost planning (SAP__FI_BPL_IM_COSTCENTER_COPY_OVEREHADS_FROM_PRODUCTCOST)
 Copy data from a source into a target version (SAP__FI_BPL_IM_COSTCENTER_COPY_SOURCE_TO_TARGET_VERSION)
 Create actual sample data (SAP__FI_BPL_IM_COSTCENTER_CREATE_ACTUAL_SAMPLE_DATA)
 Create plan sample data (SAP__FI_BPL_IM_COSTCENTER_CREATE_PLAN_SAMPLE_DATA)
 Populate control drivers for closed budget periods (SAP__FI_BPL_IM_ COSTCENTER_CTL_DRIVERS)
 Cost center distribution (SAP__FI_BPL_IM_COSTCENTER_DISTRIBUTION)
 Allocate Expenses (SAP__FI_BPL_IM_COSTCENTER_EXPENSE_ALLOCATION)
 Cost center fix variable splitting (SAP__FI_BPL_IM_COSTCENTER_FIXVARSPLIT)
 Derive Profit Center and Functional Area based on Cost Center or Account Attribute (SAP__FI_BPL_IM_COSTCENTER_PCTR_FA_DERIVATION)
 Create cost center plan proposal based on control parameters (SAP__FI_BPL_IM_COSTCENTER_PLAN_CTL_PARAMS)
Indirect activity allocation(SAP__FI_BPL_IM_COSTCENTER_ACTIVITY_ALLOCATION)
Allocate the total activity output of a sender cost center to the receiving cost centers.

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Cost center activity type splitting(SAP__FI_BPL_IM_COSTCENTER_ACTIVITYTYPESPLIT)
Distribute cost center costs down to activity types based on a driver that is maintained on cost center / activity type level.

Populate calculations for closed actual periods(SAP__FI_BPL_IM_COSTCENTER_ANALYSE_DATA)
Calculate historical parameters for Actual periods.

Create cost center budget proposal on control parameters(SAP__FI_BPL_IM_COSTCENTER_BUDGET_CTL_PARAMS)
Perform cost center expense budgeting based upon control parameter entered by user.

Create budget sample data(SAP__FI_BPL_IM_COSTCENTER_BUDGET_SAMPLE_DATA)
Create sample data for the Budget version. Contains expenses for a predefined account.

Split expenses and calculate prices with profit center and functional area derivation
This data action combines 4 other data actions: - SAP__FI_BPL_IM_COSTCENTER_ACTIVITYTYPESPLIT - SAP__FI_BPL_IM_COSTCENTER_FIXVARSPLIT - SAP__FI_BPL_IM_COSTCENTER_CALCULATE_PRICE - SAP__FI_BPL_IM_COSTCENTER_PCTR_FA_DERIVATION

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Calculate activity quantities, costs and prices with functional area derivation (SAP__FI_BPL_IM_COSTCENTER_BUNDLE_SALES_CALC_ACT_PRICE)
This data action combines 5 other data actions: - SAP__FI_BPL_IM_COSTCENTER_COPY_ACTIVITYQUANTITY_FROM_PRODUCTCOST - SAP__FI_BPL_IM_COSTCENTER_CALCULATE_ACTIVITY_QUANTITY - SAP__FI_BPL_IM_COSTCENTER_CALCULATE_COSTS - SAP__FI_BPL_IM_COSTCENTER_CALCULATE_PRICE - SAP__FI_BPL_IM_COSTCENTER_PCTR_FA_DERIVATION

Calculate activity quantities inversely(SAP__FI_BPL_IM_COSTCENTER_CALCULATE_ACTIVITY_QUANTITY )
Calculate activity quantities of a sender cost center based on the activity quantities of the receiving

Calculate activity costs(SAP__FI_BPL_IM_COSTCENTER_CALCULATE_COSTS)
Each activity quantity record is multiplied with this price to calculate the costs. Technically, this runs on credit values. The debits are calculated afterwards by switching cost center / activity type with partner cost center / partner activity type and multiplying by -1.

Calculate activity cost rates(SAP__FI_BPL_IM_COSTCENTER_CALCULATE_PRICE)
Calculate activity cost rates by dividing aggregated expenses by the activity quantity. The price is calculated as an average year price and stored with the same value into each period. After that, each activity quantity record is multiplied with this price to calculate the costs. Technically, this runs on credit values. The debits are calculated afterwards by switching cost center / activity type with partner cost center / partner activity type and multiplying by -1.

Clear version(SAP__FI_BPL_IM_COSTCENTER_CLEAR_VERSION)
Delete a complete version. Can be applied to actual and plan versions.

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Copy actual credit quantities(SAP__FI_BPL_IM_COSTCENTER_COPY_ACTCREDITQUAN)
Copy activity quantities from last year's actuals into a plan version. Technically, credit quantities are copied. The quantities are assigned to the GL account that is assigned to the activity type. The prerequisite for this data action is that the unit of the activity quantity in the actual data corresponds to the quantity unit in the master data of the activity type but this conditions typically is fulfilled.

Derive activity cost rates from actuals (SAP__FI_BPL_IM_COSTCENTER_DERIVE_ACTIVITY_PRICES)
Copy activity quantities from last year's actuals into a plan version. Technically, credit quantities are copied. The quantities are assigned to the GL account that is assigned to the activity type. Activity cost rates are calculated on the fly by dividing the corresponding costs by the quantities. The price is calculated as an average year price and stored with the same value into each period. The prerequisite for this data action is that the unit of the activity quantity in the actual data corresponds to the quantity unit in the master data of the activity type but this conditions typically is fulfilled.

Copy actual debit amount(SAP__FI_BPL_IM_COSTCENTER_COPY_ACTDEBITS)
Copy actuals expenses from last year into a plan version. Technically, debit amounts are copied. Existing expenses in the plan version are deleted before the copy.

Copy activity quantities from product cost planning(SAP__FI_BPL_IM_COSTCENTER_COPY_ACTIVITYQUANTITY_FROM _PRODUCTCOST)
Copy activity quantities from product cost planning.

Copy budget from cost center plan (SAP__FI_BPL_IM_COSTCENTER_COPY_BUDGET_FROM_PLAN)
Copy plan data into a budget version. Technically, amounts planned on G/L Account.

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Copy manufacturing overhead costs from product cost planning(SAP__FI_BPL_IM_COSTCENTER_COPY_OVEREHADS_FROM_PROD UCTCOST)
Copy total manufacturing overhead cost from product cost planning in order to credit the cost centers correctly.

Copy data from a source into a target version (SAP__FI_BPL_IM_COSTCENTER_COPY_SOURCE_TO_TARGET_VERSION)
Delete the data of the selected target version and copy the data of the selected source version into the target version

Create actual sample data(SAP__FI_BPL_IM_COSTCENTER_CREATE_ACTUAL_SAMPLE_DATA)
Create sample data for the actual version. They contain expenses and activity quantities.

Create plan sample data(SAP__FI_BPL_IM_COSTCENTER_CREATE_PLAN_SAMPLE_DATA)
Create sample data for drivers for cost center distribution, activity type splitting and fix/variable splitting.

Populate control drivers for closed budget periods (SAP__FI_BPL_IM_ COSTCENTER_CTL_DRIVERS)
Populate control drivers (Headcount Rolling Average) for use in control parameter setting entered by user.

Cost center distribution(SAP__FI_BPL_IM_COSTCENTER_DISTRIBUTION)
Distribute cost center costs between cost centers based on a driver that is maintained on cost center level.

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Allocate expenses (SAP__FI_BPL_IM_COSTCENTER_EXPENSE_ALLOCATION)
Perform a cost allocation from sender to receiver cost centers based on a driver that is maintained on sender cost center / receiver cost center level. The sender cost center is credited, and the receiver cost center is debited under a secondary account.

Cost center fix variable splitting(SAP__FI_BPL_IM_COSTCENTER_FIXVARSPLIT)
Split cost center/activity type costs by fix and variable parts based on a driver that is maintained on GL account level.

Derive Profit Center and Functional Area based on Cost Center or Account Attribute (SAP__FI_BPL_IM_COSTCENTER_PCTR_FA_DERIVATION)
Derive functional area from account or cost center based on master data attribute, derive profit center from cost center based on master data attribute.

Create cost center plan proposal based on control parameters(SAP__FI_BPL_IM_COSTCENTER_PLAN_CTL_PARAMS)
Perform cost center expense planning based upon control parameter entered by user.

2.24.6.2 Data Actions for Product Cost Planning
 Copy prices and calculate product costs and overheads (SAP__FI_BPL_IM_PRODUCTCOST_BUNDLE_COPY_PRICE_CALC_PRODCOST_AND_OVERHEADS)
 Copy sales quantities and calculate resources (SAP__FI_BPL_IM_PRODUCTCOST_BUNDLE_SALES_COPY_SALESQUANT_CALC_RESOURCES)
 Calculate manufacturing overhead costs (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_OVERHEADS)
 Calculate product cost rates (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RATES)
 Calculate resources (SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RESOURCES)
 Clear version (SAP__FI_BPL_IM_PRODUCTCOST_CLEAR_VERSION)

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 Copy activity cost rates from cost center planning (SAP__FI_BPL_IM_PRODUCTCOST_COPY_ACTIVITY_PRICES)
 Copy sales quantities (SAP__FI_BPL_IM_PRODUCTCOST_COPY_SALES_QUANTITIES)
 Copy data from a source into a target version (SAP__FI_BPL_IM_PRODUCTCOST_COPY_SOURCE_TO_TARGET_VERSION)
 Create sample data (SAP__FI_BPL_IM_PRODUCTCOST_CREATE_SAMPLE_DATA)
 Derive activity cost rates from cost estimate (SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_ACTIVIY_PRICES)
 Derive overhead costs from cost estimate (SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_OVERHEAD_COSTS)
 Derive quantity structure from cost estimate (SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_QUANTITY_STRUCTURE)
 Derive raw material prices from cost estimate (SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_RAW_MATERIAL_PRICES)

Copy prices and calculate product costs and overheads (SAP__FI_BPL_IM_PRODUCTCOST_BUNDLE_COPY_PRICE_CALC_PRODCOST _AND_OVERHEADS)
This data action combines 3 other data actions: - SAP__FI_BPL_IM_PRODUCTCOST_COPY_ACTIVITY_PRICES - SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RATES - SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_OVERHEADS

Copy sales quantities and calculate resources (SAP__FI_BPL_IM_PRODUCTCOST_BUNDLE_SALES_COPY_SALESQUANT_C ALC_RESOURCES)
This data action combines 2 other data actions: - SAP__FI_BPL_IM_PRODUCTCOST_COPY_SALES_QUANTITIES - SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RESOURCES

Calculate manufacturing overhead costs(SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_OVERHEADS)
Calculate total overhead costs by multiplying the overhead costs per unit with the sales quantities

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Calculate product cost rates(SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RATES)
Calculate product cost rates by valuating the quantity structure with the new raw material and activity cost rates.

Calculate resources(SAP__FI_BPL_IM_PRODUCTCOST_CALCULATE_RESOURCES)
Calculate resource consumption (total raw material quantity and activity quantity) by multiplying the quantity structure with the sales quantities

Clear Version(SAP__FI_BPL_IM_PRODUCTCOST_CLEAR_VERSION)
Delete a complete plan version.

Copy activity cost rates from cost center planning(SAP__FI_BPL_IM_PRODUCTCOST_COPY_ACTIVITY_PRICES)
Copy activity cost rates from cost center planning.

Copy sales quantities(SAP__FI_BPL_IM_PRODUCTCOST_COPY_SALES_QUANTITIES)
Copy sales quantities from sales planning

Copy data from a source into a target version (SAP__FI_BPL_IM_PRODUCTCOST_COPY_SOURCE_TO_TARGET_VERSION)
Delete the data of the selected target version and copy the data of the selected source version into the target version

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Create sample data(SAP__FI_BPL_IM_ PRODUCTCOST_CREATE_SAMPLE_DATA)
Create sample data for a cost estimate.

Derive activity cost rates from cost estimate(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_ACTIVIY_PRICES)
Extract the activity cost rates from other plan version that contains the cost estimate loaded from S/4HANA.

Derive overhead costs from cost estimate(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_OVERHEAD_COSTS)
Extract the overhead costs from other plan version that contains the cost estimate loaded from S/4HANA.

Derive quantity structure from cost estimate(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_QUANTITY_STRUCTURE )
Extract the quantity structure (raw material and activity type quantities per lot size of the finished product) from other plan version that contains the cost estimate loaded from S/4HANA.

Derive raw material prices from cost estimate(SAP__FI_BPL_IM_PRODUCTCOST_DERIVE_RAW_MATERIAL_PRICE S)
Extract the raw material prices from other plan version that contains the cost estimate loaded from S/4HANA.

2.24.6.3 Data Actions for Sales and Profitability Planning
 Copy product cost rates, calculate profitability and functional area derivation (SAP__FI_BPL_IM_PROFITABILITY_BUNDLE_COPY_PRODUCTCOSTRATES_CALC_PROFIT)
 Calculate profitability (SAP__FI_BPL_IM_PROFITABILITY_CALC_PROFIT)

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 Clear version (SAP__FI_BPL_IM_PROFITABILITY_CLEAR_VERSION)
 Copy actual to plan (SAP__FI_BPL_IM_PROFITABILITY_COPY_ACT)
 Copy product cost rates (SAP__FI_BPL_IM_PROFITABILITY_COPY_PRODUCTCOSTRATES)
 Derive product cost rates from actuals (SAP__FI_BPL_IM_PROFITABILITY_DERIVE_PRODUCTCOSTRATES
 Derive functional area from account attribute (SAP__FI_BPL_IM_PROFITABILITY_FA_DERIVATION)
 Create sample data (SAP__FI_BPL_IM_PROFITABILITY_SAMPLE_DATA)

Copy product cost rates, calculate profitability and functional area derivation (SAP__FI_BPL_IM_PROFITABILITY_BUNDLE_COPY_PRODUCTCOSTRATES_C ALC_PROFIT)
This data action combines 3 other data actions: - SAP__FI_BPL_IM_PROFITABILITY_COPY_PRODUCTCOSTRATES - SAP__FI_BPL_IM_PROFITABILITY_CALC_PROFIT - SAP__FI_BPL_IM_PROFITABILITY_FA_DERIVATION

Calculate profitability(SAP__FI_BPL_IM_PROFITABILITY_CALC_PROFIT)
Revenue in the Plan version is calculated by multiplying price by quantity. Deductions in the Plan version is calculated by applying the deduction percent against the revenue. COGS in the Plan version is calculated by multiplying product cost by quantity.

Clear version(SAP__FI_BPL_IM_PROFITABILITY_CLEAR_VERSION)
Used to clear all data from the selected version.

Copy actual to plan(SAP__FI_BPL_IM_PROFITABILITY_COPY_ACT)
Copies quantities calculates average prices and deductions percentages using Actuals and applies them as the basis for Plan. This data action is executed by the administrator at the start of the planning cycle.

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Copy Product Cost Rates(SAP__FI_BPL_IM_PROFITABILITY_COPY_PRODUCTCOSTRATES)
Used to transfer the product cost rates from model SAP__FI_BPL_IM_PRODUCTCOST

Copy data from a source into a target version (SAP__FI_BPL_IM_PROFITABILITY_COPY_SOURCE_TO_TARGET_VERSION)
Delete the data of the selected target version and copy the data of the selected source version into the target version.

Create quantity plan proposal based on control parameters (SAP__FI_BPL_IM_PROFITABILITY_CREATE_CTL_PARAMS)
Using several user-selectable control parameters, plan version values for quantity are calculated and populated.

Derive product cost rates from actuals (SAP__FI_BPL_IM_PROFITABILITY_DERIVE_PRODUCTCOSTRATES)
Used to calculate the product cost rates from Actuals in model SAP__FI_BPL_IM_PROFITABILITY.

Derive functional area from account attribute (SAP__FI_BPL_IM_PROFITABILITY_FA_DERIVATION)
Used to derive the functional area based on the attribute of GL Account

Create sample data (SAP__FI_BPL_IM_PROFITABILITY_SAMPLE_DATA)
Creates sample data for the Actual version. They contain revenue, quantity and deductions.

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2.24.6.4 Data Actions for Project Planning
 Create budget sample data (SAP__FI_BPL_IM_PROJECT_BUDGET_SAMPLE_DATA)
 Clear Version (SAP__FI_BPL_IM_PROJECT_CLEAR_VERSION)
 Copy cost center plan to budget (SAP__FI_BPL_IM_PROJECT_COPY_PLAN)
 Create plan sample data (SAP__FI_BPL_IM_PROJECT_CREATE_PLAN_SAMPLE_DATA)
 Derive profit center based on WBS (SAP__FI_BPL_IM_PROJECT_PCTR_DERIVATION)

Create budget sample data(SAP__FI_BPL_IM_PROJECT_BUDGET_SAMPLE_DATA)
Create sample data for the budget version.

Clear Version(SAP__FI_BPL_IM_PROJECT_CLEAR_VERSION)
Delete a complete version. Can be applied to budget and plan versions.

Copy cost center plan to budget(SAP__FI_BPL_IM_PROJECT_COPY_PLAN)
Copy plan data into a budget version. Technically, amounts planned on GL accounts will be aggregated to the GL account which is used for budgeting.

Create plan sample data(SAP__FI_BPL_IM_PROJECT_CREATE_PLAN_SAMPLE_DATA)
Create sample data for the plan version.

Derive profit center based on WBS(SAP__FI_BPL_IM_PROJECT_PCTR_DERIVATION)
Derive profit center from WBS element based on master data attribute.

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2.24.6.5 Data Actions for Internal Order Planning
Data Actions for Internal Order Planning
 Clear Version (SAP__FI_BPL_IM_INTERNAL_ORDER_CLEAR_VERSION)
 Create plan sample data (SAP__FI_BPL_IM_INTERNAL_ORDER_CREATE_PLAN_SAMPLE_DATA)
 Derive Profit Center based on Internal Order Attribute (SAP__FI_BPL_IM_INTERNAL_ORDER_PCTR_DERIVATION)

Clear Version(SAP__FI_BPL_IM_INTERNAL_ORDER_CLEAR_VERSION)
Used to clear all data from the selected version.

Create plan sample data(SAP__FI_BPL_IM_INTERNAL_ORDER_CREATE_PLAN_SAMPLE_DATA)
Create sample data for the plan version.

Derive Profit Center based on Internal Order Attribute(SAP__FI_BPL_IM_INTERNAL_ORDER_PCTR_DERIVATION)
Derive profit center from internal order based on master data attribute.

2.24.6.6 Data Actions for Investment Planning

 Clear Version (SAP__FI_BPL_IM_CAPEX_CLEAR_VERSION)  Create actual sample data (SAP__FI_BPL_IM_CAPEX_CREATE_ACT_SAMPLE_DATA)  Create plan sample data (SAP__FI_BPL_IM_CAPEX_CREATE_PLAN_SAMPLE_DATA)  Copy actual investment amounts to plan (SAP__FI_BPL_IM_CAPEX_COPY_ACT_INVESTMENTS)  Calculate Depreciation (SAP__FI_BPL_IM_CAPEX_CALCULATE_DEPRECIATION)

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Clear Version(SAP__FI_BPL_IM_INTERNAL_ORDER_CLEAR_VERSION)
Used to clear all data from the selected version.

Create actual sample data(SAP__FI_BPL_IM_CAPEX_CREATE_ACT_SAMPLE_DATA)
Create sample data for the actual version.

Create plan sample data (SAP__FI_BPL_IM_CAPEX_CREATE_PLAN_SAMPLE_DATA)
Create sample data for the plan version.

Copy actual investment amounts to plan (SAP__FI_BPL_IM_CAPEX_COPY_ACT_INVESTMENTS)
Copy previous year actual data to the plan version.

Calculate Depreciation (SAP__FI_BPL_IM_CAPEX_CALCULATE_DEPRECIATION)
Calculate the depreciation for the planning period according to the depreciation parameter settings for depreciation method (straight-line or accelerated depreciation method) and depreciation percentage. The depreciation starts in the period after the new investment is entered.

2.24.6.7 Data Actions for Financial Statement Planning
 Clear Version (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CLEAR_VERSION)
 Create sample data (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_SAMPLE_DATA)
 Copy actual amounts to plan (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_ACTUALS)
 Copy gross margin amounts from profitability plan

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(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_PROFITABILITY)  Copy data from a source into a target version
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_SOURCE_TO_TARGET_VERSION)  Create plan sample data
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CREATE_PLAN_SAMPLE_DATA)  Copy operational expense amounts from cost center plan
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_COSTCENTER)  Copy plan sample data
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CREATE_PLAN_SAMPLE_DATA)  Copy investment and depreciation amounts from capex plan
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_CAPEX)  Create company code plan proposal based on control parameters
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_PLAN_CTL_PARAMS)  Derive trading partner splitting factors from actuals
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_DERIVE_TP_SPLIT_FACTORS)  Allocate amounts on trading partner
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TP_ALLOCATION)  Financial Statement Cash Flow
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CASHFLOW)  Financial Statement Balance Sheet Carry Forward
(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BS_CRYFWD)
Calculate balance sheet and cash flow (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BUNDLE_CALCULATE_BS_CF)
This data action combines 2 other data actions: - SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CALCULATE_BS - SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CASHFLOW
Calculate profit and loss (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BUNDLE_CALCULATE_P&L)
This data action combines 3 other data actions: - SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_PROFITABILITY - SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_COSTCENTER - SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TPSPLIT

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Calculate financial statement balance sheet (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CALCULATE_BS)
Carry forward the balance amounts to the next periods after manual changes to the closing balance amount and performs calculations for Cash Balance and Accumulated Depreciation/Amortization.

Create company code plan proposal based on control parameters (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_PLAN_CTL_PARAMS)
Perform profit and loss planning based upon control parameter entered by user.

Split profit and loss amount by trading partner (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TPSPLIT)
Performs a split of profit and loss amount by trading partner splitting factors defined in the administration story.

Copy data from a source into a target version (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_SOURCE_TO_TARGET_VE RSION)
Delete the data of the selected target version and copy the data of the selected source version into the target version.

Create plan sample data (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CREATE_PLAN_SAMPLE_DATA)
Create control parameter sample data for the plan version.

Clear Version(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CLEAR_VERSION)
Delete a complete version. Can be applied to budget and plan versions.

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Create sample data(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_SAMPLE_DATA)
Create sample data for the actual version.

Copy actual amounts to plan (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_ACTUALS)
Copy the last year actual net income and balance sheet amounts to plan version as a starting point for planning. Before that, delete all P&L and balance sheet plan amounts.

Copy gross margin amounts from profitability plan(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_PROFITABILTY)
Copy gross margin from the profitability planning to the financial statement plan version. Before that, delete all gross margin plan amounts.

Copy operating expense from cost center plan(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_COST_CENTER)
Copy operating expense from the cost center planning to the financial statement plan version. Before that, delete all operating expense plan amounts.

Create plan sample data (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CREATE_PLAN_SAMPLE_DATA)
Create control parameter sample data for the plan version.

Copy investment and deprecation amounts from investment plan (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_COPY_CAPEX)
Copy investment and depreciation amounts from the investment planning to the financial statement plan version. Before that, delete investment and depreciation plan amounts.

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Create company code plan proposal based on control parameters (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_PLAN_CTL_PARAMS)
Perform profit and loss planning based upon control parameter entered by user.

Derive trading partner splitting factors from actuals (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_DERIVE_TP_SPLIT_FACTORS)
The administrator performs this data action on the last years actuals, which contain GL account postings on different trading partners. The data action performs the following: 1. It deletes all trading partner allocation factors. 2. For each company code and G/L account, it calculates the average trading partner share amount from last year's actuals. 3. It takes this share amount as Trading Partner Allocation Factor to each period of the plan version. Later, this Trading Partner Allocation Factor is used as driver to allocate the planned amounts to trading partners.

Allocate amounts on trading partner(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_TP_ALLOCATION)
Performs the trading partner allocation based on driver 'Trading Partner Allocation Factor' defined in the administration story.

Financial Statement Balance Sheet Carry Forward(SAP__FI_BPL_IM_FINANCIAL_STATEMENT_BS_CRYFWD)
Carry forward the balance amounts to the next periods after manual changes to the closing balance amount and performs calculations for Cash Balance and Accumulated Depreciation/Amortization..

Financial Statement Cash Flow (SAP__FI_BPL_IM_FINANCIAL_STATEMENT_CASHFLOW)
Calculate the cash flow statement using the changing amounts from the profit & loss and balance sheet.

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2.24.7 Add-on for Integrated Financial Planning for SAP S/ 4HANA
2.24.7.1 Architecture and Abstract
This package contains stories and data actions to support transfer of data between SAP Analytics Cloud Planning models and models contained in Integrated Financial Planning package.
Currently, this package contains a story and data action to support transfer of Employee Expense between Workforce Planning model and the Cost Center Planning model.
- The Cost Center Planning and Budgeting model, stories, allocations and data actions support an elaborated planning and budgeting process with expense planning, allocations, activity quantity planning, activity cost rate planning and activity cost rate calculation
- The Workforce Planning model is the source of the Employee Expense Plan data that is transferred to the Cost Center Planning model. The Workforce model is separate content from Integrated Financial Planning and is a prerequisite for this scenario.

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2.24.7.2 Stories

SAP Finance: BPL - Copy Expenses from WFP (SAP__FI_BPL_IM_ADDON_COPY_EXPENSES_FROM_WFP)
The story facilities the cross-model copy of Employee Expenses Plan data to the Cost Center Planning model. This story uses the data action Copy Employee Expenses (SAP__FI_BPL_IM_ADDON_COPY_EXPENSES_FROM_WFP).

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2.24.7.3 Data Actions
Copy Employee Expenses (SAP__FI_BPL_IM_ADDON_COPY_EXPENSES_FROM_WFP)
Plan data from SAP__FI_ANA_IM_WFP_JOB source model is transferred to the target model SAP__FI_BPL_IM_COSTCENTER.
2.25 Liquidity Planning for SAP S/4HANA Cloud (SAP BEST PRACTICES)
2.25.1 Liquidity Planning for SAP S/4HANA Cloud (SAP BEST PRACTICES)
SAP Liquidity Planning for SAP S/4HANA Cloud enables planners to complete a Liquidity plan, including calculated closing balances, in SAP Analytics Cloud based on information sources from SAP S/4HANA Cloud. Find all details and documentation about this scope item in SAP Liquidity Planning for SAP S/4HANA Cloud (3Y0).
2.25.2 Liquidity Planning for SAP S/4HANA Cloud (SAP BEST PRACTICES)
SAP Liquidity Planning for SAP S/4HANA Cloud enables planners to complete a Liquidity plan, including calculated closing balances, in SAP Analytics Cloud based on information sources from SAP S/4HANA Cloud. Find all details and documentation about this scope item in SAP Liquidity Planning for SAP S/4HANA Cloud (3Y0).

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2.26 Master Data Governance Data Quality Analysis 2.26.1 Architecture and Abstract

2.26.2 Stories
 SAP MDG Data Quality Analysis for Products (SAP__MDG_DQ_PRODUCT)

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 SAP MDG Data Quality Analysis for Business Partners (SAP__MDG_DQ_BP)

2.26.2.1 SAP MDG Data Quality Analysis for Products (SAP__MDG_DQ_PRODUCT) / SAP MDG Data Quality Analysis for Business Partners (SAP__MDG_DQ_BP)

Measure Name Dimension Score

Type Aggregation

Dimension Target Score

Aggregation

Category Score

Aggregation

Category Target Score

Aggregation

Rule Score

Aggregation

Formula/Properties
- Operation [AVG ] - Measure [MDQltyDimensionScore] by Aggregation Dimension [MDQltyDimen sion] Conditional Aggregation [No]
- Operation [AVG ] - Measure [MDQltyDimnTargetScore Value] by Aggregation Dimension [MDQltyDimension] Conditional Aggregation [No]
- Operation [AVG ] - Measure [MDQltyDimnCategory Score] by Aggregation Dimension [MDQltyDimensionCategory] - Conditional Aggregation [No]
- Operation [AVG ] - Measure [MDQltyDimnCatTargetScor eValue] by Aggregation Dimension [MDQltyDimensionCategory] - Conditional Aggregation [No]
- Operation [AVG ] - Measure [MDQltyDimensionScore] by Aggregation Dimension [MDQltyDimen sion] - Conditional Aggregation [No]

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2.26.3 Models

Model Name: SAP__MDG_DQ_LS_SCORE Model Description: SAP MDG Data Quality Score Analysis Planning Enabled: no Connection: Live Connection

Dimensions Name

Description

MasterDataChangeProcess MDQltyDimensionCategory DQltyDimension MDQualityBusinessRule MDQltyBusinessObjectTypeCode MDQualityBusinessRuleName MDQltyBusinessRuleBaseTable MDQltyBusinessRuleOwner MDQltyBusRuleCheckedField MDQltyBusinessRuleExpert MDChgProcessFinishDate

Evaluation Process Dimension Category Data Quality Dimension Business Rule Business Object Type Business Rule Name Base Table Rule Owner Checked Fields Rule Expert Evaluation Finishing Date

Mapping Connection Type Name of the Report

2.27 Outcome-based Business Insights
2.27.1 Architecture and Abstract
SAP Outcome-Based Business Insights enables you to track, plan and analyze your outcome-based contracts and solution portfolios. The analytic applications provided in the content serve as a template to be customized and tailored to your specific needs.

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2.27.2 Analytic Applications

- Outcome-Based Business Insights: My Solution Portfolios (SAP_OBBI_SolutionPortfolio)
- Outcome-Based Business Insights: Analyze Solution Portfolio Performance (SAP_OBBI_SolutionPortfolioFinance)

My Solution Portfolios (SAP_OBBI_SolutionPortfolio)

Measure Name

Type

Original Planned Costs

Aggregation

Properties Costs from Excel Sheet

Analyze Solution Portfolio Performance (SAP_OBBI_SolutionPortfolioFinance)

Measure Name

Type

quantity

Aggregation

amountInGlobalCurrency

Aggregation

cumulatedAmountInGC

Aggregation

Properties
Accumulated usages per month from S/4 data source
Accumulated costs or revenues per month from S/4 data source
Accumulated total costs and revenues until the specified month

2.27.3 Models

Solution Portfolios (OBBI): SAP_OBBI_SolutionPortfolios Solution Portfolios (OBBI): SAP_OBBI_SolutionPortfolios

Solution Portfolios (OBBI): This view in the reporting layer provides a list of the available Solution Portfolios with planned costs.

- Planning Enabled: no

Dimensions Technical Name

Description

Connection - Live Data Connection to DWC
Live Data Connection to DWC

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Solution Portfolios (OBBI): SAP_OBBI_SolutionPortfolios

solutionPortfolioExternalID

Solution Portfolio

description

Description

startDate

Start Date

endDate

End Date

dashboard

Dashboard

customers

Customers

globalCurrency

Global Currency

linkToPlanningData

linkToPlanningData

solutionPortfolioID

solutionPortfolioID

Connection Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC Live Data Connection to DWC

Solution Portfolio Records (OBBI): SAP_OBBI_SolutionPortfolioRec Solution Portfolio Records (OBBI): SAP_OBBI_SolutionPortfolioRec

Connection

Solution Portfolio Records (OBBI): This view in the reporting layer accumulates data from "SAP_OBBI_SolutionPortfolioRecS", using the corresponding Solution Portfolios' amounts and quantities.

- Live Data Connection to DWC

- Planning Enabled: no

Dimensions Technical Name subMetricType

Description sub Metric Type

Mapping Live Data Connection to DWC

solutionPortfolioDescription

Solution Portfolio Description

Live Data Connection to DWC

solutionPortfolioExternalID

Solution Portfolio

Live Data Connection to DWC

solutionPortfolioCustomers

customers

Live Data Connection to DWC

recordType

Record Type

Live Data Connection to DWC

metricID

Metric ID

Live Data Connection to DWC

metricDescription

metricDescription

Live Data Connection to DWC

metricType

Metric Type

Live Data Connection to DWC

postingDate

Posting Date

Live Data Connection to DWC

quantityUnit

quantityUnit

Live Data Connection to DWC

globalCurrency

Global Currency

Live Data Connection to DWC

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Solution Portfolio Records Accumulated Amount (OBBI): SAP_OBBI_SolutionPortfolioRecA

Solution Portfolio Records Accumulated Amount (OBBI): SAP_OBBI_Solution

PortfolioRecA

Connection

Solution Portfolio Records Accumulated Amount (OBBI): This view in the RL pro vides data for the chart "Accumulated Costs and Revenues" in the analytic appli cation "Outcome-Based Business Insights: Analyze Solution Portfolio Perform ance".

- Live Data Connection to DWC

- Planning Enabled: no

Dimensions Technical Name solutionPortfolioExternalID

Description Solution Portfolio

Mapping Live Data Connection to DWC

recordType

Record Type

Live Data Connection to DWC

metricType

Metric Type

Live Data Connection to DWC

postingDate

Posting Date

Live Data Connection to DWC

2.28 Portfolio and Project Management (PPM)
2.28.1 Architecture and Abstract
The Portfolio and Project Management (as part of the Enterprise Portfolio and Project Management offering in S/4HANA Enterprise Management) supports companies in planning, analyzing and executing the numerous projects. Companies can classify and aggregate their portfolio of projects to buckets to assess them per type, region, and risk or any other characteristic.
In this scenario, we focus on projects that are related to investments or maintenance (turnovers), both types represent significant budgets. The projects are scattered around the globe with different risk profile, expected commercial success, and criticality.
Architecture

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Usage in Industry-Specific Boardrooms
To use the Financial Boardroom, industries should make a copy of the story SAP__PPM_PROJECTPORTFOLIO to their own namespace. The current usage in Industries is listed below:

Industry Oil & Gas Utilities

Story SAP__OAG_PPM_PROJECTPORTFOLIO SAP__UTL_ PPM_PROJECTPORTFOLIO

2.28.2 Dashboard
The PPM story is used in SAP_OAG_AGENDA and SAP_UTL_AGENDA.

2.28.3 Stories

2.28.3.1 SAP__PPM_PROJECTPORTFOLIO (SAP Portfolio and Project Management: Project Portfolio - Summary)

It enables customers to assess, monitor, and analyse the project portfolio on a global scale according to costs and budget, risk, commercial value and strategic fit. Project types encompass internal, STO and capital projects which are all typically subject to mid- and long-term planning. KPI´s such as Net Present Value and expected Commercial Value are displayed to provide crisp information on the outcomes.

Page: Details

Charts

Title

Models Used

Navigate to

Project Budget by Type

SAP__PPM_IM_BUDGETANDCOSTS Open in Explorer

This chart shows total project budget per project type

NPV and Risk by Project

SAP__PPM_IM_BUDGETANDCOSTS Open in Explorer

This chart shows the NPV and risk in a bar chart

Budget and Costs by ­ Top 5

SAP__PPM_IM_PORTFOLIO

Open in Explorer

This chart shows the top 5 projects displaying total budget, actual costs, planned costs, and the deviation in total and %

Expected Commercial Value by Project- SAP__PPM_IM_PORTFOLIO Top 5

Open in Explorer

This chart shows the top 5 projects by expected commercial value

Page: Context1

Charts

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Page: Details

Title

Models Used

Navigate to

Costs Deviation by Cost Element

SAP__PPM_IM_BUDGETANDCOSTS Open in Explorer

This chart shows waterfall of costs and total costs

Annual Deviation of Budget and Costs SAP__PPM_IM_BUDGETANDCOSTS Open in Explorer

This chart Shows time-series of budget, planned- and annual costs

Total Costs and Expenses

SAP__PPM_IM_BUDGETANDCOSTS Open in Explorer

This chart shows list of cost types and total costs

Page: Context2

Charts

Title

Models Used

Navigate to

Expected Commercial Value by Projects SAP__PPM_IM_PORTFOLIOGEO

This chart shows geo map with a bubble layer presenting aggregated Expected Commercial Value by Project Location

Project

SAP__PPM_IM_ PORTFOLIOGEO

This chart shows Risk, Probability of Commercial Success, NVP of the Projects within selected geo location in a tabular view

2.28.4 Models
2.28.4.1 SAP Portfolio and Project Management (SAP__PPM_IM_PORTFOLIO)

Model Name: SAP__PPM_IM_PORTFOLIO

Connection

- Model Description: SAP Portfolio and Project Management: Project Portfolio - Summary
- Planning Enabled: No

- Connection type: Import Data Connection to SAP BW
- Connection Analytical Query: BW-Data Query name: 0RPM_DS06_Q0008

Account

ID

Description

Formula/Mapping

Assessed Risk

Assessed Risk

0RPM_ARISK

Expected Commercial Value Expected Commercial Value 0RPM_ECV

Probability Commercial Suc Probability Commercial Suc 0RPM_PCSI

cess

cess

Probability Technical Success Probability Technical Success 0RPM_PTSI

Net Present Value

Net Present Value

0RPM_NPV

Dimensions

Mapping

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Model Name: SAP__PPM_IM_PORTFOLIO

ID

Description

Time*

Time

SAP_PPM_PROJECTNAME Project Name

SAP_PPM_TYPE

Type

SAP_PPM_PROJECTLOCA TION

Project Location

SAP_PPM_GEOAREA

Geo Area

Additional Notes about the model

Connection ID 0CRM_PLTO 0RPM_IDID 0RPM_ITMT 0RPM_LOC
0RPM_GEO

Description Time Project Name¹ Type Project Location
Geo Area

 Unit of Measure: Expected Commercial Value and Net Present Value should be exposed to SAP Analytics ClouOnd in one Unit of Measurement only, where we used the Subject USD. Assessed Risk and Probabilities should be in the range from 0 to 1.
 The text for the project name that can be filled up in the master data can be taken from the field Item Detail: 0RPM_IDGU.

 Note
* Private dimension and other dimensions are public.

2.28.4.2 SAP Project Costs (SAP__PPM_IM_BUDGETANDCOSTS)

Model Name: SAP__PPM_IM_BUDGETANDCOSTS

Connection

 Model Description: SAP Portfolio and Project Manage ment: Project Portfolio - Budget and Costs
 Planning Enabled: No

Account ID Actual Costs Budget Actual/Budget Variance Actual/Planned Variance Planned Costs Dimensions ID Time (monthly)*

Description Actual Costs Budget Actual/Budget Variance Actual/Planned Variance Planned Costs
Description Time

 Connection Type: Import Data Connection to SAP BW  Connection Analytical Query: BW-Data Query name:
0RPM_C03_Q0202

Formula/Mapping

0RPM_C03_RK_ACT_COST

0RPM_C03_RK_BUDGET

[Actual Costs] ­ [Budget]

[Actual Costs] ­ [Planned Costs]

0RPM_C03_RK_PLAN_COST

Mapping

ID

Description

0FISCPER

Fiscal year/period

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Model Name: SAP__PPM_IM_BUDGETANDCOSTS

Connection

SAP_PPM_PROJECTNAME Project Name

0RPM_IGDU__0RPM_IDID Item Detail ID

SAP_PPM_COSTELEMENT Cost Element

0COSTELMNT

Cost Element

SAP_PPM_TYPE

Type

0RPM_IDGU__0RPM_ITMT Item Type (Attribute of Port folio Item)

SAP_PPM_GEOAREA

Geo Area

0RPM_PRO GUI__0RPM_GEO

Geo Area as an Attribute of Project Name

Additional Notes about the model

Unit of Measure: All Subjects from PPM should be exposed to SAP Analytics Cloud in one Unit of Measurement only, here we used the Subject USD.

 Note
* Private dimension and other dimensions are public.

2.28.4.3 SAP Portfolio Geo (SAP__PPM_IM_PORTFOLIOGEO)

Model Name: SAP__PPM_IM_PORTFOLIOGEO

Connection

 Model Description: SAP Portfolio and Project Management: Project Portfolio Connection Type: local file - Geo
 Planning Enabled: No

Account ID Assessed Risk Expected Commercial Value Probability Commercial Success Probability Technical Success Net Present Value Latitude Longitude Dimensions ID Time* SAP_PPM_PROJECTNAME SAP_PPM_TYPE SAP_PPM_PROJECTLOCATION

Description Assessed Risk Expected Commercial Value Probability Commercial Success Probability Technical Success Net Present Value Latitude Longitude
Description Time Project Name Type Location

Formula/Mapping Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file
Mapping Suitable column in local file Suitable column in local file Suitable column in local file Suitable column in local file

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Model Name: SAP__PPM_IM_PORTFOLIOGEO

SAP_PPM_GEOAREA

Geo Area

Project_Location

Project_Location

Additional Notes about the model

Connection Suitable column in local file Suitable column in local file

Unit of Measure: Expected Commercial Value and Net Present Value should be exposed to SAP Analytics Cloud in one Unit of Measurement only, here we used the Subject USD. Assessed Risk and Probabilities should be in the range from 0 to 1.
Project_Location dimension is generated during the data model creation time. It is based on the Location dimension and geo coordinates in the corresponding Latitude and Longitude columns.

 Note
* Private dimension and other dimensions are public.

2.29 Predictive Asset Insights
2.29.1 Architecture and Abstract
SAP Predictive Asset Insights (PAI) SAP Analytics Cloud (SAC) content provides:
 Six models, one for each of the OData APIs which you can use in PAI to extract data to SAC. These are:  Equipment  Indicator Values (the last one)  Models  Notifications  Work Orders  Locations
 Two sample stories.  A sample connection.  Sample data for each model.
One of the stories (...Fleet) is intended to be shown in the PAI Analytics Dashboards application. The other story (...Equipment) is intended to be shown on the PAI equipment object page. There are no sample stories for the other three PAI applications where SAC can be displayed, Models, Locations, Spare Parts.
Due to the limited nature of the data being exposed in the OData APIs these SAC stories are supposed to just illustrate what the data could look like in SAC stories in PAI. They are supposed to highlight some SAC functions like story tabs, page filters, and dimension selectors. They are not supposed to be stories delivering fullyfledged business insights based on common work practices.

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2.29.2 PAI configuration for SAC (and SAC Connection)
2.29.2.1 SAC Connection
The configuration for the SAC connection is documented in the PAI help pages here (select the latest release). The included sample connection has the Data Service URL provided, but each customer must add their specific other credentials.

2.29.2.2 PAI Configuration
The configuration of SAC in PAI is described in the PAI help pages here (select the latest release).

2.29.3 Stories
These stories are included:
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 Fleet View (SAP__PAI_GEN_FLEET)  Equipment Object Page (SAP__PAI_GEN_EQUIPMENT)

2.29.3.1 Fleet View (SAP__PAI_GEN_FLEET)
This story is intended to show in the PAI Analytics Dashboards application. It has two pages:  Count and Breakdowns  Indicators Counts and Breakdowns shows five key indicators on the left, which are all counts of the corresponding business object types, from the five models. To the right of key figures are bar charts, one for each business object type. They show the count of business objects by a dimension. The dimension can be selected in the control above each chart.
Indicators show the last indicator values for equipment.

2.29.3.2 Equipment Object Page (SAP__PAI_GEN_EQUIPMENT)
This story is intended to show in the PAI Equipment application on its object page. It has one pages:  Notification / Work Order Breakdown Notification / Work Order Breakdown shows a count of notifications and work orders, shown as a key figure, in a chart by type and status, and in another bar chart where the user can select the dimension by which to break down the count. All charts are just for illustrative purposes, to show what data could look like in the equipment object page.

2.29.4 Models

Context

There are six models provided, one for each of the available OData APIs in PAI.

Model Name Equipment Indicator Values Models Locations

Technical Name of Model SAP__PAI_GEN_IM_EQUIPMENT SAP__PAI_GEN_IM_INDICATOR SAP__PAI_GEN_IM_MODELS SAP__PAI_GEN_IM_LOCATIONS

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Model Name Spare Parts Notifications Work Orders

Technical Name of Model SAP__PAI_GEN_IM_SPAREPARTS SAP__PAI_GEN_IM_NOTIFICATIONS SAP__PAI_GEN_IM_WORORDERS

For each of the models some of the attributes available in the OData API were included. Apart from the indicator values the attributes are all dimensions, there are no measures. Note that SAC adds a measure on its own for models without measures. The available attributes are pretty self-explanatory when you call the PAI OData API in SAC. They are not separately listed here. How to see the available attributes:

Procedure

1. Launch function to import data via OData.
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2. Select the appropriate connection to your source system. 3. Select the OData service for the desired business object type.

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4. You can see a list of all attributes.

 Note
 In the provided models also better human-readable versions of the technical attribute names were provided.
2.30 Procurement (PROC) 2.30.1 Architecture and Abstract
The Procurement content described here is based on SAP Ariba. The models are based on the applications Procurement, Sourcing, Contracts, and Buyer Network.

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Architecture

2.30.2 Dashboard
The Dashboard SAP Procurement: Dashboard (SAP_PROC_Dashboard) brings together the stories from Spend Management and Buyer Network to provide seamless analytics through the components Spend, Sourcing, Contracts, and Network.

2.30.3 Stories
SAP Procurement: General- Overview (SAP_PROC_GEN_OVERVIEW) This story is used to provide an overview on the overall Procurement content. SAP Procurement: General- Spend Management (SAP_PROC_GEN_SPENDMANAGEMENT) This story provides content based on Ariba Spend Management for Spend (Spend Visibility, Purchase Orders, and Invoices), Sourcing and Contracts. SAP Procurement: Network- Buyer Network (SAP_PROC_NW_BUYER)

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This story provides, based on Ariba Network, the statistics of Buyer Network, and comparison to Spend Management.

2.30.3.1 General- Overview (SAP_PROC_GEN_OVERVIEW)

Measure Name Active Suppliers
Active Suppliers

Type Aggregation
Aggregation

PO Spend Current Year

Restricted Measure

PO Spend YoY Previous Year

Restricted Measure

 PO Spend YoY

Calculated Measure

Formula/Properties
 Model: SAP__PROC_NW_IM_IN VOICE
 COUNT Amount  Dimension: Supplier  Condition: Time = 2018
 Model: SAP__PROC_GEN_IM_PURCHA SEORDER
 COUNT PO Spend  Dimension: Supplier  Condition: Time = 2018
 Model: SAP__PROC_GEN_IM_PURCHA SEORDER
 Measure: PO Spend  Dimension: Time :2018
 Model: SAP__PROC_GEN_IM_PURCHA SEORDER
 Measure: PO Spend  Dimension: Time: Q1, Q2, Q3 2017
 Model: SAP__PROC_GEN_IM_PURCHA SEORDER
 Calculation: PO Spend Current Year - PO Spend YoY Previous Year

 Note
This story consists of a single page. The page brings together information from Invoices, Purchase Orders, and sourcing and Buyer Network.

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2.30.3.2 General- Spend Management (SAP_PROC_GEN_SPENDMANAGEMENT)

Measure Name Active Suppliers

Type Aggregation

Active Suppliers

Aggregation

PO Spend Current Year

Restricted Measure

PO Spend YoY Previous Year

Restricted Measure

 PO Spend YoY

Calculated Measure

Invited Suppliers Avg

Calculated Measure

Participated Suppliers Avg

Calculated Measure

Declined Suppliers Avg

Calculated Measure

Formula/Properties
Model: SAP__PROC_NW_IM_INVOICE
COUNT Amount
Dimension: Supplier
Condition: Time = 2018
 Model: SAP_PROC_GEN_IM_PUR CHASEORDER
 COUNT PO Spend  Dimension: Supplier  Condition: Time = 2018
 Model: SAP_PROC_GEN_IM_PUR CHASEORDER
 Measure: PO Spend  Dimension: Time: 2018
 Model: SAP_PROC_GEN_IM_PUR CHASEORDER
 Measure: PO Spend  Dimension: Time: Q1, Q2, Q3 2017
 Calculation: Invited Suppliers/ Event Count
 Model: SAP_PROC_GEN_IM_PUR CHASEORDER
 Calculation: PO Spend Current Year - PO Spend YoY Previous Year
 Model: SAP_PROC_GEN_SOURC ING
 Calculation: Invited Suppliers/ Event Count
 Model: SAP_PROC_GEN_SOURC ING
 Calculation: Participated Suppli ers/ Event Count
 Model: SAP_PROC_GEN_SOURC ING
 Calculation: Declined Suppliers/ Event Count

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This story consists of 4 pages:
 Spend Visibility - this page provides overall information on the different kind of invoice spends namely Contract based, Offcontract, and Non-managed spends
 Purchase Order - Detail analysis of Purchase Orders is provided to the level of line items  Invoice - Invoice analysis is provided based on status  Sourcing - overview of different types of sourcing events and related suppliers is provided  Contracts - Contract header information with available spends and comparison to non-contact spends is
shown  PO Ad-hoc Analysis - This page shows the relation between POs and related entities- invoices, contracts,
commodities, and parts.

2.30.3.3 Network- Buyer Network (SAP_PROC_NW_BUYER)

Measure Name Active Suppliers

Type Aggregation

Active Suppliers

Aggregation

PO Spend Current Year

Restricted Measure

PO Spend YoY Previous Year

Restricted Measure

 PO Spend YoY

Calculated Measure

Formula/Properties
 Model: SAP__PROC_NW_IM_IN VOICE
 COUNT: Amount  Dimension: Supplier  Condition: Time = 2018
 Model: SAP_PROC_GEN_IM_PUR CHASEORDER
 COUNT PO Spend  Dimension: Supplier  Condition: Time = 2018
 Model: SAP_PROC_GEN_IM_PUR CHASEORDER
 Measure: PO Spend  Dimension: Time :2018
 Model: SAP__PROC_GEN_IM_PURCHA SEORDER
 Measure: PO Spend  Dimension: Time: Q1, Q2, Q3 2017
 Model: SAP__PROC_GEN_IM_PURCHA SEORDER
 Calculation: PO Spend Current Year - PO Spend YoY Previous Year

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This story consists of 2 pages:
 Buyer Network - It provides you with network related statistics for invoices in the network.  Ariba Network vs Spend Management - Provides comparison of spend for selected supplier through Ariba
Network and Spend Management.

2.30.4 Models
Currently, there is direct connector in SAP Analytics Cloud for SAP Ariba, but this is in realization phase. The workaround used for connectivity is by extracting SAP Ariba reports into Excel and importing this data into prebuilt models. For each model described below, we provide the definition of the SAP Ariba report.

2.30.4.1 General- Purchase Order (SAP__PROC_GEN_IM_PURCHASEORDER)

The purpose of this model is to provide all information regarding purchase orders.

SAP__PROC_GEN_IM_PURCHASEORDER
 SAP Procurement: General- Purchase Order  Planning Enabled: Yes

Purchase Order Account (SAP_PROC_POACCOUNT *)

ID

Description

po_spend

PO Spend

amount_invoiced

Amount Invoiced

po_count

PO Count

item_count

Item Count

Dimensions Name Time* SAP_HR_GEN_USER SAP_ALL_SUPPLIER SAP_PROC_SPEND_PURCHASEOR DER

Description Time User (Requester) Supplier
Purchase Order

Connection
 Upload from File (Current option for Ariba connection)
 Purchase Order Report
Mapping/Formula PO Spend Amount Invoiced Exception Aggregation COUNT(SAP_PROC_SPEND_PURCHA SEORDER) [po_spend] Exception Aggregation COUNT(SAP_PROC_GEN_PART) [po_spend]
Mapping Ordered Date Requester ERP Supplier PO Id

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SAP__PROC_GEN_IM_PURCHASEORDER

SAP_PROC_CONTRACT_ID

Contract

SAP_ALL_COSTCENTER

Cost Center

SAP_PROC_SPEND_PURCHA SEGROUP

Purchasing Group

SAP_PROC_GEN_PART

Part

SAP_PROC_GEN_COMMODITY

Commodity

SAP_PROC_SPEND_LINETYPE

Line Type

Connection Contract Cost Center Purchase Organization Id
Part Name Commodity Line Type

 Note
* Private dimension and other dimensions are public.

This report should be extracted from Ariba Spend Management. Create the report with the following definition.

Report Name: Purchase Order Report
Main Fact: Purchase Order (Procurement & Invoicing)
 Data  PO Spend  Amount Invoiced
Rows
 Ordered Date  Line Type  Commodity  Part Name  Requester  ERP Supplier  PO ID  Contract  Cost Center  Purchase Organization Id
Filters
 Ordered Date (Relative) Time Period 2 years Most recent 2

2.30.4.2 General- Invoice (SAP__PROC_GEN_IM_INVOICE)

SAP__PROC_GEN_IM_INVOICE
 SAP Procurement: General- Invoice  Planning Enabled: Yes

Connection
 Upload from File (Current option for Ariba connection)
 Invoice Report

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SAP__PROC_GEN_IM_INVOICE

Invoice Account (SAP_PROC_INVOICEACCOUNT*)

ID

Description

total_invoiced

Total Invoiced

total_cost

Total Cost

non_managed_spend

Non Managed Spends

off_contract_pospend

Off Contract PO Spends

contract_spend

Contract Spends

non_managedspendratio contract_spendratio po_spends invoice_count

Non Managed Spend % Contract Spend % Total PO Spends Invoice Count

rejected_amount

Rejected Amount

cancelled_amount

Cancelled Amount

reconciled_amount

Reconciled Amount

Dimensions Name Time* SAP_PROC_INVOICE_NUMBER
SAP_PROC_INVOICE_TYPE SAP_PROC_INVOICE_STATUS SAP_HR_GEN_USER SAP_ALL_SUPPLIER SAP_PROC_SPEND_PURCHASEOR DER

Description Time
Invoice Number Invoice Type Invoice Status User (Requester) Supplier
Purchase Order

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Connection
Mapping/Formula Invoice Spend Not mapped (this field is provided for future use) LOOKUP([total_invoiced] ,[d/ SAP_PROC_INVOICE_TYPE]="others" ) LOOKUP([total_invoiced] ,[d/ SAP_PROC_INVOICE_TYPE]="pur chase_order" ) LOOKUP([total_invoiced] ,[d/ SAP_PROC_INVOICE_TYPE]="con tract" ) [non_managed_spend]/[total_in voiced] [contract_spend]/[total_invoiced] [total_invoiced] -[non_man aged_spend] Exception Aggregation COUNTNULL ( SAP_PROC_INVOICE_NUMBER) [to tal_invoiced] LOOKUP([total_invoiced] ,[d/ SAP_PROC_INVOICE_STATUS] ="re jected" ) LOOKUP([total_invoiced] ,[d/ SAP_PROC_INVOICE_STATUS]="can celled" ) LOOKUP([total_invoiced] ,[d/ SAP_PROC_INVOICE_STATUS]="rec onciled" )
Mapping Invoice Date Invoice ID
Invoice Type Invoice Status Requester ERP Supplier PO Id
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SAP__PROC_GEN_IM_INVOICE
SAP_PROC_CONTRACT_ID SAP_ALL_COSTCENTER SAP_PROC_SPEND_PURCHA SEGROUP SAP_PROC_GEN_SYSTEM

Contract Cost Center Purchasing Group
Source System

Connection Contract Cost Center Purchase Organization Id
Assign to 1

 Note
*Private dimension and other dimensions are public.

This report should be extracted from Ariba Spend Management. Create the report with the following definition.

Report Name: Invoice Report
Main Fact: Invoice (Procurement & Invoicing)
Data  Invoice Spend
Rows  Invoice Date  Invoice ID  Invoice Type  Invoice Status  Requester  ERP Supplier  PO ID  Contract  Cost Center  Purchase Organization ID
Filters  Invoice Date (Relative) Time Period 2 years Most recent 2

2.30.4.3 General- Sourcing (SAP_PROC_GEN_SOURCING)

SAP__PROC_GEN_IM_SOURCING
 SAP Procurement: General- Sourcing  Planning Enabled: Yes

Sourcing Account (SAP_PROC_SOURCINGACCOUNT *)

ID

Description

Connection  Upload from File (Current option
for Ariba connection)  Sourcing Report
Mapping/Formula

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SAP__PROC_GEN_IM_SOURCING baseline_spend participated_suppliers declined_suppliers invited_suppliers bids_submitted bids_removed target_savings

Baseline Spend Participated Suppliers Declined Suppliers Invited Suppliers Bids Submitted Bids Removed Target Savings %

event_count

Event Count

Dimensions Name Time* SAP_PROC_EVENT_ID SAP_PROC_EVENT_PROJECT SAP_PROC_EVENT_STATUS SAP_HR_GEN_USER SAP_PROC_GEN_COMMODITY SAP_PROC_EVENT_TYPE SAP_PROC_EVENT_FORMAT SAP_PROC_SPEND_PURCHA SEGROUP SAP_PROC_EVENT_TEMPLATE

Description Time Event Project Name Event Status User (Owner) Commodity Event Type Event Format Purchasing Group
Template Name

 Note
* Private dimension and other dimensions are public.

Report Name: Sourcing Report Main Fact: Event Level Summary

Connection Baseline Spend Participated Suppliers Declined Suppliers Invited Suppliers Bids Submitted Bids Removed
Target Savings % Add Exception Aggregation AVER AGE( SAP_PROC_EVENT_ID) Exception Aggregation COUNT(SAP_PROC_EVENT_ID) [base line_spend]
Mapping Event Publish Date Event Title Project Name Event Status Owner Commodity Event Type Event Format Purchasing Group
Template Name

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Report Name: Sourcing Report
Data
 baseline_spend  participated_suppliers  declined_suppliers  invited_suppliers  bids_submitted  bids_removed  target_savings
Rows
 Event Publish Date  Event Title  Project Name  Event Status  Owner  Commodity  Event Type  Event Format  Purchasing Group  Template Name
Filters
 Event Publish Date (Relative) Time Period 2 years Most recent 2

2.30.4.4 Sourcing- Supplier (SAP_PROC_SRC_SUPPLIER)

SAP_PROC_SRC_SUPPLIER
 SAP Procurement: Sourcing- Supplier  Planning Enabled: Yes

Sourcing Supplier Account (SAP_PROC_SRCSUPPLIERACCOUNT*)

ID

Description

baseline_spend

Baseline Spend

awarded_spend

Awarded Spend

Supplier_count

Active Supplier

Dimensions Name Time*

Description Time

Connection  Upload from File (Current option
for Ariba connection)  Sourcing Supplier Report
Mapping/Formula baseline spend awarded spend Exception Aggregation COUNT(t.S:SAP_ALL_SUPPLIER) [awarded_spend]
Mapping Event Publish Date

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SAP_PROC_SRC_SUPPLIER SAP_PROC_EVENT_ID SAP_ALL_SUPPLIER

Event Supplier

 Note
* Private dimension and other dimensions are public.

Report Name: Sourcing Supplier Report
Main Fact: Supplier Participation Data  baseline_spend  awarded spend
Rows  Event Title  ERP Supplier
Filters  Event Publish Date (Relative) Time Period 2 years Most recent 2

Connection Event Title ERP Supplier

2.30.4.5 General- Contract (SAP_PROC_GEN_CONTRACT)

SAP_PROC_GEN_CONTRACT
 SAP Procurement: General- Contract  Planning Enabled: Yes

Contract Account (SAP_PROC_CONTRACTACCOUNT*)

ID

Description

maximum_commitment

Maximum Commitment

minimum_commitment

Minimum commitment

amount_invoiced

Amount Invoiced

remaining_ratio

Remaining %

available_amount contract_count

Available Amount Contract Count

Connection
 Upload from File (Current option for Ariba connection)
 Contract Report
Mapping/Formula Maximum Commitment Minimum Commitment Amount Invoiced ([maximum_commitment][amount_invoiced]) / [maximum_com mitment] [maximum_commitment] [amount_invoiced] Exception Aggregation COUNT(SAP_PROC_CONTRACT_ID) [maximum_commitment]

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SAP_PROC_GEN_CONTRACT Dimensions Name Time* SAP_PROC_CONTRACT_ID SAP_PROC_CONTRACT_STATUS

Description Time Contract
Contract Status

SAP_PROC_CONTRACT_FROMDATE SAP_ALL_SUPPLIER SAP_ALL_COMPANY_CODE SAP_PROC_SPEND_PURCHA SEGROUP SAP_PROC_CONTRACT_TYPE
SAP_HR_GEN_USER SAP_PROC_CONTRACT_SCOPE

Effective Date - Year Supplier Company Code Purchasing Group
Contract Type User Scope

Connection
Mapping Expiration Date Contract Status Effective Date Common Supplier # Purchase Unit
Type Contact Scope

 Note
* Private dimension and other dimensions are public.

This report should be extracted from Ariba Spend Management. Create the report with the following definition.

Report Name: Contract Report
Main Fact: Contract(Release)
Data
 Maximum Commitment  Minimum Commitment  Amount Invoiced
Rows
 Expiration Date  Contract  Status  Effective Date (only year)  Common Supplier  Purchase Unit  Type  Contact  Scope
Filters
 Expiration Date (Relative) Time Period 2 years Most recent 2 Future 1

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2.30.4.6 Network- Invoice (SAP__PROC_NW_IM_INVOICE)

SAP__PROC_NW_IM_INVOICE
 SAP Procurement: Network- Invoice Planning Enabled: Yes

Invoice Account (SAP_PROC_INVOICEACCOUNT*)

ID

Description

Amount

Amount

disputed_amount

Disputed Amount

invoice_count

Invoice Count

Dimensions Name Time* SAP_ALL_SUPPLIER

Description Time Supplier

SAP_PROC_INVOICE_NUMBER

Invoice Number

SAP_PROC_NETWORK_REFERENCE Reference

SAP_PROC_NETWORK_ROUTINGSTA Routing Status TUS

SAP_PROC_NETWORK_INVOICESTA Invoice Status TUS

SAP_PROC_NETWORK_RECEIVING

Receiving Method

SAP_PROC_NETWORK_ORGIN

Origin

SAP_PROC_NETWORK_SOURCEDOC Source Document

SAP_PROC_NETWORK_SUBMISSION Submission Method

 Note
* Private dimension and other dimensions are public.

Connection  Upload from File (Current option
for Ariba connection)  Network Invoice Report
Mapping/Formula Invoice Spend Not mapped (this field is provided for future use) Exception Aggregation COUNT(SAP_PROC_INVOICE_NUM BER) [amount]
Mapping Created Date Supplier Invoice Number Reference Routing Status
Invoice Status
Receiving Method Origin Source Document Submission Method

Report Name: Network Invoice Report Report Type: Invoice

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Report Name: Network Invoice Report
Fields used for model  Supplier  Invoice Number  Reference  Routing Status  Invoice Status  Receiving Method  Origin  Source Document  Submission Method  Created Date
 Use time filter over 2 years. For all other filter criteria use defaults
2.31 Procurement for SAP S/4HANA Cloud (SAP BEST PRACTICES)
2.31.1 Procurement for SAP S/4HANA Cloud (SAP BEST PRACTICES)
SAP Procurement for S/4HANA Cloud content (29D) is using live connections. Before importing the content, please read the documentation carefully and set up the required connections. Find all details and documentation about this scope item in SAP Best Practices Explorer: SAP S/4HANA Cloud Procurement content.
2.32 Product Cost Planning (CO_PC) 2.32.1 Architecture and Abstract
Architecture

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2.32.2 Stories

Title: SAP_CO_PC_PRODCOST_INPUT Description: SAP Controlling: Product Cost Planning - Input Story used as input sheet for planners to enter plan data Page: Parameter Setup Charts Title Correlation by Segment/Cost Component/Cost Driver Page: Sales Volume Charts Title Sales Quantity and Sales Price by Material and Plant Page: Itemization Charts Title Quantity of Raw Material and Plant for Finished Good and Plant Page: Cost Driver Charts Title Cost Driver Changes Page: Raw Material Cost Charts Title Purchase Price split by Raw Material and Plant Page: Product Cost Charts Title Product Cost

Models Used SAP__CO_PC_IM_PRODCOST
Models Used SAP__CO_PC_IM_PRODCOST
Models Used SAP__CO_PC_IM_PRODCOST
Models Used SAP__CO_PC_IM_PRODCOST
Models Used SAP__CO_PC_IM_PRODCOST
Models Used SAP__CO_PC_IM_PRODCOST

Title: SAP_CO_PC_GEN_PRODCOST_REPORT Description: SAP Controlling: Product Cost Planning - Report Story for plant managers, category managers or product managers to monitor product relevant KPI's Page: Product Cost Plan - Summary Charts

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Title: SAP_CO_PC_GEN_PRODCOST_REPORT Title Product Cost Sales Revenue Contribution Margin Production Costs as % of Revenue by Plant Product Cost by Cost Component (plan) Planned Revenue/Cost of Goods Sold by Product Category Spend per Segment (plan) Product Cost by Cost Component (actual/plan)

Models Used SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST SAP__CO_PC_IM_PRODCOST

2.32.3 Models 2.32.3.1 Structure of the Model

Model Name: SAP__CO_PC_IM_PRODCOST

Model Description: SAP Controlling: Product Cost Planning

Planning Enabled: Yes

SAP_CO_PC_ACCOUNT

ID

Description

Formula

QUANTITY

Quantity

SALES_QUANTITY

Sales Quantity

LOTSIZE

Lotsize

PURCHASE_PRICE

Purchase Price

SALES_PRICE

Sales Price

CORRELATION

Correlation

PRICE_DIFFERENCE Driver Price Change %

Dimensions

Dimension Name

Dimension Description Dimension type

Time SAP_CO_PC_ACCOUNT Version SAP_CO_PC_SEGMENT

Time Account Version Material Driver Seg ment

Time (Quarter) Account Version Generic

Public/Private Dimen sion Private Private Private Private

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SAP_CO_PC_COSTCOMP SAP_CO_PC_MATERIAL SAP_CO_PC_PLANT SAP_CO_PC_PMATNR SAP_CO_PC_PWERKS SAP_CO_PC_DRIVER Additional Notes about the model

Cost Component Material (Finished) Plant (Finished) Material (Source) Plant (Source) Cost Driver

Generic Generic Generic Generic Organization Generic

Private Private Private Private Private Private

2.32.3.2 Data Source Connection and Integration

Model Name: SAP__CO_PC_IM_PRODCOST

Model Description: SAP Controlling: Product Cost Planning

Planning Enabled: Yes

SAP_CO_PC_ACCOUNT

ID

Description

QUANTITY

Quantity

SALES_QUANTITY

Sales Quantity

LOTSIZE

Lotsize

PURCHASE_PRICE

Purchase Price

SALES_PRICE

Sales Price

CORRELATION

Correlation

PRICE_DIFFERENCE Driver Price Change %

Dimensions

Dimension Name

Dimension Descrip tion

Time

Time

SAP_CO_PC_ACCOUNT

Account

Version

Version

SAP_CO_PC_SEGMENT

Material Driver Seg ment

SAP_CO_PC_COSTCOMP

Cost Component

SAP_CO_PC_MATERIAL

Material (Finished)

SAP_CO_PC_PLANT

Plant (Finished)

SAP_CO_PC_PMATNR

Material (Source)

SAP_CO_PC_PWERKS

Plant (Source)

Formula
Dimension type Time (Quarter) Account Version Generic Generic Generic Generic Generic Organization

Public/Private Di mension Private Private Private Private
Private Private Private Private Private

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Model Name: SAP__CO_PC_IM_PRODCOST SAP_CO_PC_DRIVER Additional Notes about the model

Cost Driver

Generic

Private

2.33 Project Budgeting & Planning for S/4HANA Cloud (SAP BEST PRACTICES)
2.33.1 Project Budgeting & Planning for S/4HANA Cloud (SAP BEST PRACTICES)
Project Budgeting & Planning for S/4HANA Cloud content (2YG) is using live connections. Before importing the content, please read the documentation carefully and set up the required connections. Find all details and documentation about this scope item in SAP Best Practices Explorer: Project Budgeting & Planning for S/4HANA Cloud content.
2.33.2 Project Budgeting & Planning for S/4HANA Cloud (SAP BEST PRACTICES)
Project Budgeting & Planning for S/4HANA Cloud content (2YG) is using live connections. Before importing the content, please read the documentation carefully and set up the required connections. Find all details and documentation about this scope item in SAP Best Practices Explorer: Project Budgeting & Planning for S/4HANA Cloud content.

2.34 Project Staff Planning
2.34.1 Architecture and Abstract
The project staff planning content package allows project managers to plan, manage, and collaborate on critical projects.
Manage resource allocation for critical tasks and monitor planned expenses. Improve communication between project team members and other stakeholders. Increase the quality of your forecasts for the quantities, costs, and revenues involved throughout the project lifecycle to deliver projects on budget. Plan for project related staff, expenses and third-party resources. Improve your planning and forecasting accuracy by leveraging SAP Analytics Cloud predictive capabilities. Develop detailed cost and revenue plans for your projects and monitor those by the SAP Analytics Cloud's unique reporting capabilities.

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Architecture

Usage in Industry - specific Stories
Industry Cross Industry Cross Industry

Story SAP Projects: Project Staff Planning SAP Projects: General - Manager Cockpit

2.34.2 Stories
 SAP Projects: General - Staff Planning (SAP__PRJ_GEN_STAFFPLANNING)  SAP Projects: General - Manager Cockpit (SAP__PRJ_GEN_MANAGERCOCKPIT)

2.34.3 Models
The next chapter provides the detailed information of the Model used for Project Staff Planning to create Stories.

2.34.3.1 SAP__PRJ_GEN_STAFFPLANNING

Model Name: SAP__PRJ_GEN_IM_STAFFPLANNING

 Model Description: SAP Projects: General- Staff Planning  Planning Enabled: Yes

SAP_PROJECT_SP_ACCNT ID WORK_DAYS HOUR_RATE LABOUR

Description Working Days Hourly Rate Labour Cost

Connection Connection Type: Import Data from File
Formula/Mapping

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Model Name: SAP__PRJ_GEN_IM_STAFFPLANNING

TOTAL_COST

Total Cost

INTERNAL_COST

Internal Cost

EXTERNAL_COST

External Cost

HOUR_RATE_LU

Hourly Rate (Lookup)

EXTERNAL_CHARGE

External Charges

TOTAL_CHARGE

Total Charges

INTERNAL_CHARGE

Internal Charges

HOUR_RATE_AVG

Average Hourly Rate

TOTAL_RESULT

Booking Total

PROJECT_KPI

Project KPI's

NON_PROJECT_OVERHEAD

Non-project related overhead

Dimensions

ID

Description

Time*

Time

SAP_PROJECT_SP_ACCNT*

Account

Version*

Version

SAP_ALL_PROJECT_WBSELEMENT WBS Element

SAP_HR_GEN_USER

User

SAP_ALL_CUSTOMER

Customer

SAP_ALL_COSTCENTER

Cost Center

Additional Notes about the model

Connection
Mapping Time Map measures above WBS Element User Customer Cost Center

2.35 Receivable Management for SAP S/4 HANA Cloud (SAP BEST PRACTICES)
2.35.1 Receivable Management for SAP S/4 HANA Cloud (SAP BEST PRACTICES)
Receivable Management for SAP S/4 HANA Cloud (4A6) is an analytical application that displays the receivable management related results from SAP S/4 HANA Cloud in real-time. Before importing the content, please read the documentation carefully. Find all details and documentation about this scope item in SAP Best Practices Explorer: Receivable Management Content Configuration with SAP Analytics Cloud.

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2.36 Sales Analytics for SAP S/4HANA Cloud (SAP BEST PRACTICES)
2.36.1 Architecture and Abstract
Architecture

2.36.2 Stories
The next chapter provides the purpose and KPI's of the Story used in Sales Analytics for SAP S/4HANA Cloud

2.36.2.1 SAP Sales & Distribution: General - Backorders (SAP__SD_GEN_BACKORDERS and SAP__SD_GEN_BACKORDERS_LIVE)
Main purpose of story SAP__CP_SD_BACKORDERS and SAP__SD_GEN_BACKORDERS_LIVE is to provide insights into current status of sales by analysing the product availability.
Backorders are orders that cannot be confirmed due to a lack of product availability. For example, if order items are not confirmed, or partially confirmed, for the requested delivery date.
KPIs:
 Confirmed: Sales order items that are confirmed as requested for the full quantity on the requested date, without any restrictions or delays.
 Delayed: Sales order items that are fully confirmed as requested, but at least one part is later than the requested date.

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 Partially Confirmed: Sales order items that are partially confirmed as requested, regardless of whether they are delayed or not.
 Not Confirmed: Sales order items for which no availability is confirmed as requested at all.

2.36.3 Models
The next chapters provide the detailed information about the Models used to create insightful Stories.

2.36.3.1 SAP Sales & Distribution: Backorders (SAP__SD_GEN_IM_BACKORDERS)

Model Name: SAP__SD_GEN_IM_BACKORDERS Model Description: SAP Sales & Distribution: Backorders Planning Enabled: No

Connection
 Connection Type: SAP BW Live Data Connection
 Source of Import: CDS View Ana lytics - Confirmation of Sales Or ders(2CCSDSLSORDCONFAQ)

Connection Variables:
 Exchange Rate Type: Please choose a valid exchange rate type (for example, "M").  Currency: The displayed currency has to map the currency in the target model. Model SAP Sales & Distribution, Sales
Volume uses currency the USD (US Dollar).

Backorders Account ID CONF DELAY PART_CONF
NOT_CONF TOTAL
CONF_RATIO DELAY_RATIO PART_CONF_RATIO NOT_CONF_RATIO Backlog

Description Confirmed Delayed Partially Confirmed
Not Confirmed Total
Confirmed Ratio Delayed Ratio Partially Confirmed Ratio Not Confirmed Ratio Backlog

Formula/Mapping Confirmed (No. Of) ELTUIDCMP13 Delayed (No. Of) ELTUIDCMP14 Partially Confirmed (No. Of) EL TUIDCMP15 Unconfirmed (No. Of) ELTUIDCMP16 [CONF]+[DELAY]+[PART_CONF] + [NOT_CONF] [CONF]/[TOTAL] [DELAY]/[TOTAL] [PART_CONF]/[TOTAL] [NOT_CONF]/[TOTAL] ([DELAY] + [NOT_CONF]) *[neta mount]

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Model Name: SAP__SD_GEN_IM_BACKORDERS

Workdone

Work done

Backlogratio Netamount Dimensions ID Time* SAP_ALL_COUNTRY

Sales Backlog Ratio Net Amount
Description Time Country

SAP_ALL_CUSTOMER SAP_ALL_CUSTOMERGROUP SAP_ALL_MATERIAL SAP_ALL_MATERIALGROUP SAP_ALL_PLANT SAP_ALL_BUSINESSAREA SAP_ALL_CUSTOMER_CLASSIFICAT SAP_ALL_SALESORGANISATION

Customer Customer Group Material Material Group Plant Business Area Customer Classification Sales Organisation

 Note
*Private dimension and other dimensions are public.

Connection ([PART_CONF] +[CONF]) *[neta mount] ([DELAY] +[NOT_CONF]) / [TOTAL]
Mapping Yr/Mo. Of Creation Navigation attribute Country of dimen sion Sold-to-Party Sold-to-Party Customer Group Material Material Group Plant Business Area Customer Classification Sales Organisation

2.36.3.2 SAP Sales & Distribution: Backorders (SAP__SD_GEN_LS_BACKORDERS)

Model Name: SAP__SD_GEN_LS_BACKORDERS - Model Description: SAP Sales & Distribution: Backorders

Connection
 Connection Type: SAP BW Live Data Connection  Source of Import: CDS View Analytics - Confirmation of
Sales Orders(2CCSDSLSORDCONFAQ)

Connection Variables:
 - Exchange Rate Type: Please choose a valid exchange rate type (for example, "M").  - Currency: The displayed currency has to map the currency in the target model. Model SAP Sales & Distribution, Sales
Volume uses currency the USD (US Dollar).

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2.37 Sales Performance (CRM)
2.37.1 Architecture and Abstract
SAP Sales Performance content is developed based on SAP Hybris Cloud for Customer. However, this content is built in a generic way and can be connected to another CRM source for sales performance. The components addressed are Sales Performance and Sales Target Planning. Architecture The building blocks are as shown:

2.37.2 Digital Boardrooms
There is a single Digital Boardroom for SAP CRM Sales Performance: SAP_CRM_Sales_Performance_Dashboard
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2.37.3 Stories
2.37.3.1 General- Sales Performance (SAP__CRM_GEN_SALESPERFORMANCE)
Name: SAP__CRM_GEN_SALESPERFORMANCE Description: SAP CRM: General - Sales Performance Page - Sales Performance Overview This page provides an overview of the overall Sales Performance of an organization. Please note that unless mentioned, all the charts in this story use the model. SAP__CRM_GEN_IM_OPPORTUNITIES Header In this lane the current date, current quarter, and days left for quarter to end are indicated. Growth This lane shows the growth related KPIs. Revenue Won The revenue won and its variance with target and weighted revenue are shown for the current quarter. Revenue Trend This chart shows the trend of revenue won, weighted revenue pipeline, and target and variance of revenue won w.r.t. previ ous year. Pipeline This lane shows information on leads and opportunities. Leads Generated
Model: SAP__CRM_GEN_IM_LEADS A numeric point chart shows the YTD Leads and YoY comparison. A trendline of the leads generated YTD on a monthly granularity is displayed. Opportunities by Close Date A numeric point chart shows the Current year's Opportunity Count and YoY comparison. A trendline of the opportunities on a monthly granularity is displayed. Average Sales Cycle A numeric point chart shows the YTD Average Cycle Time and YoY comparison. A trendline of average cycle time on a monthly granularity is displayed. Pipeline Funnel The funnel shows the weighted revenue pipeline in different stages for the current and next year. Sales Team This lane shows information on the performance of the Sales team. Revenue Won YTD The revenue won YTD and target is displayed per employee. It is possible to filter on top n employees.

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Name: SAP__CRM_GEN_SALESPERFORMANCE
Revenue Pipeline YTG The weighted revenue pipeline, unweighted revenue, and target are shown by employee for time from current date to end of current year. Page - Growth: Sales Revenue This page provides details on Revenue Won YTD. Overview Pane Filters are provided for Territory and Sales Unit. The revenue won and its variance with target and weighted revenue are shown for the current quarter, YTD, and Year to previous quarter. Detail Pane This area shows detailed analysis of the current year's revenue won. Revenue Won This chart provides a monthly view of the revenue won and its deviation with previous year. In the variance line, the devia tion from target is shown. Breakdown of Revenue Won
Based on selected dimension as breakdown dimension, the treemap shows by size the revenue won for the current year and the color denotes the growth in revenue won since previous year. The trendline shows the revenue won over quarters.
Page - Product Portfolio Filters are provided for Territory and Sales Unit. This page provides details on Product based Revenue, this might not neces sarily add up to Opportunity Revenue Won as this is calculated based on item value. Overview Pane
The Product Revenue won and distribution across new and existing products is shown in the numeric point chart.
With treemaps, one sees the distribution of revenue across all products and new products.
Detail Pane This area shows detailed analysis of the Product Portfolio. Revenue Growth Per Product Group This chart shows the revenue won per product group for the current year and its variance with previous year. The revenue pipeline for the current year is also shown. Revenue Distribution of New vs Existing Products by Product Group The distribution of revenue YTD is shown between existing and new products for each Product Group. The calculation of finding new products is based on the logic of looking at products which generated revenue for the current year but not in the previous years. The difference from calculation is used here with the option of replacing null values by zero for calculat ing between years. Product Performance by Product Group This chart shows the performance of each product's revenue along x axis and deviation from previous year's revenue in the y axis. The products are colored by product groups and using the legends, one can filter on specific product groups. Revenue by Product Group and Selection Dimension This heat map shows a matrix of revenue for each product group with a breakdown per country, territory, sales unit, indus try, and competitor or country

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Name: SAP__CRM_GEN_SALESPERFORMANCE Page ­ Customers This page shows Customer analysis of Revenue Won and in pipeline. Overview Pane The page can be filtered on Territory and Sales unit. The customer statistics shows customers for current and previous year. Detail Pane This area shows details on Customer analysis. Top Customers by Revenue Won Customers providing highest revenue won for the current year are shown along with growth w.r.t previous year. For these customers, the revenue pipeline is also shown. Revenue Pipeline by Customer and Additional Dimension Based on selected dimension as breakdown dimension, the treemap shows distribution of revenue pipeline by customer. Top Open Deals by Customer This chart shows value of open opportunities for customers at different sales phases. Tooltips give further information like the employee responsible and close date for the opportunity. Competitors for Lost Deals
This treemap shows the revenue lost associated with each competitor and the color shows the number of deals lost.
Page ­ Pipeline: Leads & Opportunities This page provides information about leads and opportunities. Filters are available for territories and sales units. Overview Pane Filters are available for territories and sales units. Numeric point charts are available for Leads generated and lead conver sion ratio for current year with YoY comparison (Model: SAP__CRM_GEN_IM_LEADS), Opportunities and Opportunity win rate by Close date for current year with YoY comparison. Leads Pane This lane provides all lead related details. Lead Generation Trend
Model: SAP__CRM_GEN_IM_LEADS The trend of leads generated for the current year with YoY deviation is shown.
Lead Breakdown by Selected Dimension
Model: SAP__CRM_GEN_IM_LEADS Based on the selected dimension qualification, territory or source, the breakdown of leads generated for current year with deviation YoY is shown.
Lead Contribution to Opportunities Based on the dimension selected, breakdown is provided for the current year to show the percentage of opportunities cre ated with a lead source. Opportunities Pane

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Name: SAP__CRM_GEN_SALESPERFORMANCE
This lane provides all opportunity related information. Opportunity Weighted Revenue Trend by Close Date The trend of opportunity weighted revenue for current year with deviation YoY. Weighted Value of Open Opportunities The list of open opportunities for the current quarter sorted for the current quarter. Campaign Influence on Revenue Won This chart shows the breakup of revenue earned by opportunities with campaigns associated verses those without. YoY var iance is shown, and breakdown is done by selected dimension. Page ­ Pipeline This page provides sales pipeline related information. Overview Pane Filters are available for territories, sales units, customer & employee responsible. Numeric point charts are available for op portunity win rate, deals won, deals lost, average deal size, and average sales cycle with YoY comparisons. Detail Pane This lane provides all pipeline details. Pipeline Funnel For each sales phase, shows the number of opportunities and weighted revenue for current and next year for opportunities that are not closed. Pipeline Health Scorecard The score card shows for each month of the current year the revenue won, revenue in pipeline, deals won, and deals in pipe line. It is possible for each month to see information in the detail level of dates. Average Cycle Time for Closed Opportunities This chart shows the trend of average cycle time per month with YoY comparison. This chart answers questions like have I been more efficient with closing sales this March vs last March. Pipeline Opportunity Count Distribution by Sales Phase For the next 6 months, the percentage of opportunities by close date per sales phase is shown. This chart answers ques tions like for the next month, are too many of my opportunities in the early sales phases. Page ­ Sales Team This page provides information on performance of the sales team. Overview Pane Filters are available for territories, sales units. Numeric point charts are available for revenue won for the current quarter and its deviation from target and Weighted revenue. Detail Pane This lane provides details on performance of the sales team. Employee Performance For each employee, all performance KPIs are shown for the current quarter in a tabular form. Average Deal Size by Employee Responsible

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Name: SAP__CRM_GEN_SALESPERFORMANCE
In this treemap, the size of each box shows the average deal size for an employee and the color indicates the weighted reve nue pipeline in total for the deals the employee is responsible for. This chart gives an indication of with which employees the big deals lie and the workload on this employee as the tooltip also informs us of how many deals is this employee involved in.
Weighted Revenue vs Target Per Employee
This chart shows how far is each employee from targets for the current quarter.
Weighted Revenue Distribution by Employee and Selected Dimension
Dimension selection is possible for industry, competitor, sales phase and customer. Based on one of these selected dimen sions, the breakdown of weighted revenue is shown per employee. This chart answers questions such as ­ which of my customers will give me the most revenue or which competitors pose the greatest threat.
Page ­ Win Loss Analysis
This page provides analysis of wins and losses for opportunities.
Overview Pane
Filters are available for territories, sales units & employee responsible. Numeric point charts are available for opportunity win rate, deals won, and deals lost.
Win Pane
This lane provides all win related details.
Opportunity Win Trend
Shows the trend of Opportunities won and revenue won per month for the current year.
Wins
The performance of wins per employee for the current quarter filtered on top 5 revenue won is shown. The filter of top 5 can be changed in presentation mode.
Deals Won by Select Dimension
Based on the dimension selected, breakdown is provided for the current quarter to show the number of opportunities won colored by revenue won. This chart answers questions such as what were the reasons for my wins, or which customers did I have most wins with.
Loss Pane
This lane provides all loss related details.
Opportunity Loss Trend
Shows the trend of Opportunities lost and revenue lost per month for the current year.
Losses
The performance of losses per employee for the current quarter filtered on top 5 revenue lost is shown. The filter of top 5 can be changed in presentation mode.
Deals Lost by Select Dimension
Based on the dimension selected, breakdown is provided for the current quarter to show the number of opportunities lost colored by revenue lost. This chart answers questions such as what were the reasons for my losses, or which competitors I lost to.
Page ­ Revenue Pipeline Simulation

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Name: SAP__CRM_GEN_SALESPERFORMANCE
Revenue Pipeline is shown based on Weighted Revenue. Weighted revenue is provided as a calculation of unweighted reve nue * chance of success. Chance of success is dependent on sales phase.
In revenue pipeline simulation, additional influencers are added to the chance of success. A business scenario that can be addressed here is: There is a sudden slowdown in the construction industry across Brazil and this has a negative effect by 10% on the revenue pipeline for this tuple (Construction in Brazil), how would this influence the overall revenue pipeline for my company?
Simulation Selections Pane
The time range for the simulation is displayed.
Using the slider, the influence on chance of success can be set between -50 to +50 %. The selection can be done on indus try, country, and customer. Any selection influences all other filters. The calculation is weighted revenue * influence/100.
Simulation Results Pane The results of simulated weighted pipeline based on influencers selected in the selections pane are shown. Weighted & Simulated Weighted Revenue Pipeline based on the following selections: Here we see the summary of influencers been selected. KPIs Total Actual Weighted Pipeline This chart shows the total weighted pipeline without simulation effects. Total Simulated Weighted Pipeline This chart shows the total weighted pipeline with simulation effects. Adjacent to this the variance of actuals vs Simulation is shown. Actual Weighted Pipeline for selection This chart shows the weighted pipeline without simulation effects for the opportunities that belong to simulation criteria. Simulated Weighted Pipeline for selection This chart shows the weighted pipeline with simulation effects for the opportunities that belong to simulation criteria. Adja cent to this, the variance of actuals vs Simulation is shown. Pipeline Breakup for Selected Industry, Country and Customer For the simulation selection, a breakup per month of actual and simulated revenue pipeline are shown.

2.37.3.2 Planning- Sales Target Planning (SAP__CRM_PLAN_TARGETPLANNING) (deprecated)
Name: SAP__CRM_PLAN_TARGETPLANNING Description: SAP CRM: Planning- Sales Target Planning Page ­ Overview

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Name: SAP__CRM_PLAN_TARGETPLANNING
Please note that all charts in this story use the model SAP__CRM_GEN_IM_OPPORTUNITIES.
Sales Target Planning is first done on territory level and then finetuned on the level of sales persons. The Overview Tab gives an overview of the current year's sales targets and performance of my Employees.
Revenue by Territory
In the overview page, a sales manager sees data based on his authorizations in SAP Analytics Cloud. Depending on the territories he/she is authorized to view, he/she can see the current year, the revenue won, revenue pipeline, and target reve nue by territory.
Revenue Trend for my Sales Unit
This chart shows the trend of revenue won, weighted pipeline revenue, and target revenue for the sales units that belong to me, authorization can be maintained for sales units based on which only sales units belonging to me are shown. Else, a filter can also be used in the chart to filter to sales units the Sales Manager is interested in.
Revenue Won vs Target for My Employees
The revenue won YTD and its variance with target for each employee belonging to the selected sales units is shown.
Weighted Revenue Pipeline vs Target for My Employees
The weighted revenue Year To Go and its variance with target for each employee belonging to the selected sales units is shown.
Page ­ Target Setting - Territories
In this page, the monthly target setting is possible on the level of individual territory or territory hierarchy. Target planning for territories can be done only if one has authorization to the specific territories. This can be filtered on Sales units.
Revenue Overview
This chart provided an aggregated overview of revenue won, in pipeline, and target for the year based on territories author ized.
Revenue Trend
This chart shows the trend of revenue won, weighted pipeline revenue, and target revenue for the territories I am authorized to.
Target Settings for a specific year
In this grid, target values can be entered as absolute value or as percentage increase or decrease in any cell which is a data point for target revenue for a territory for a month. If the target is on a higher level than a leaf, then the values are distrib uted to the leaves.
Page ­ Target Setting ­ Employees
In this page, the monthly target setting is possible on the level of individual employee. Target planning for territories can be done only if one has authorization to the specific sales units or a filter can be used for this. Employee selection is also avail able.
If you would like to do planning for new employees, then use unbooked data for the employee.
Revenue Overview
This chart provides an aggregated overview of revenue won, in pipeline, and target for the year based on employees se lected.
Revenue Trend

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Name: SAP__CRM_PLAN_TARGETPLANNING
This chart shows the trend of revenue won, weighted pipeline revenue, and target revenue for the employees I am responsi ble for. Target Settings for a specific year In this grid, target values can be entered as absolute value or as percentage increase or decrease in any cell which is a data point for target revenue for an employee for a month.
This story is deprecated. We recommend you to use SAP__CRM_PLAN_TERRITORYTARGET and SAP__CRM_PLAN_EMPLOYEEQUOTA .
These stories cover the sales planning scenario in greater depth.

2.37.3.3 Planning- Sales Territory Target Planning (SAP__CRM_PLAN_TERRITORYTARGET)
This story enables you to do Territory Target planning.
In the Overview page, there are charts showing the revenue by territory and revenue trend and on the righthand side the different steps of Territory Target Planning process are shown. From here, you can navigate to the pages where each of these process steps are available.
It is also possible to navigate from Territory Target Planning to Employee Quota Planning from this Overview page.
The steps are:
 Setup Target Revenue Baseline - You can define the base for your target planning either based on previous year's actuals or entering manually per territory.
 Setup Seasonality - You can distribute the target values based on seasonality using SAP Analytics Cloud's spreading functionality for the time dimension.
 Allocate Revenue to Product Group - You can distribute target across product groups using allocation step.  Plan Revenue for Territories - You can do a detailed planning on a monthly granularity for territories. Filter
on selected territory and do further planning on the level of Product Group. This page is also available for access directly from the story so it can be used for task creation.  Help page provides help for all quota planning steps.

2.37.3.4 Planning- Employee Quota Planning (SAP__CRM_PLAN_EMPLOYEEQUOTA)
This story enables you to do Employee Quota planning which is derived based on Top- level Territory Target planning.
In the Overview page, there are charts showing the performance of the team YTD and YTG. The revenue trend for the team and distribution of quota across Sales Units assigned to you are also shown. On the right-hand side, the different steps of Employee Quota Planning process are shown. From here, you can navigate to the pages where each of these process steps are available.

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It is also possible to navigate from Employee Quota Planning to Territory Target Planning from this Overview page.
The steps are:  Set Quota Baseline - You can define the quota version based on copy from target version.  Assign Employee to Sales Unit - Current employees are assigned quota based on previous year's
assignment. For new employees, assignment of quota, and sales unit can be done in this step.  Transfer Quota - Quota for selected employees can be transferred across sales units for selected quarters
using allocation.  Plan Quota for Employees - You can do a detailed planning for your employees on monthly level for sales
units and territory. For selected employees, it is possible to do planning on Product Group level. This page is also available for access directly from the story so it can be used for task creation.
The Quota Coverage simulation page shows the actuals for assigned quota and provides the possibility to simulate quota coverage by changing quota and number of employees.
Help page provides help for all quota planning steps.
2.37.3.5 Sales Performance Teaser (SAP__CRM_C4C_SPTEASER)
This story is meant to be a teaser for demonstrating how content can run out of the box by switching connectivity to another system. A subset of the content provided in the story SAP CRM: General - Sales Performance is shown in this story in a single page.

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2.37.4 Models
There are 2 models used in this content.

2.37.4.1 General - Opportunities (SAP__CRM_GEN_IM_OPPORTUNITIES)

Model Name: SAP__ CRM_GEN_IM_OPPORTUNITIES
 Model Description: SAP Sales Performance: General - Opportunities  Planning Enabled: Yes

Opportunity Account* ID Expected_Value Chance_of_Success Weighted_Value Item_Value Item_Total_Value Number_of_Opportunities Saleslength
Average_salescycle Revenue_won

Description Unweighted Revenue Chance of Success Weighted Revenue Item Value Item Total Value Number of Opportunities Saleslength
Average Sales Cycle Revenue Won

Connection
 Connection type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 - Connection Query: Opportunity Analysis (RPCO DOPPU_Q0018QueryResults). Please note that you might need to add some additional fields which are not selected by default (for ex ample, Campaign)
 Connection Query: Average Sales Cycle (RPCODOPPU_Q0009Quer yResults). Please note that you might need to add some additional fields which are not selected by de fault (for example, Campaign)** (this query is only used for map ping saleslength)
Formula/Mapping
Expected_Value
Chance_of_Success
Weighted_Value
Item_Value
Item_Total_Value
Number_of_Opportunities
**Should be mapped to Avg. Sales Cy cle Length from RPCO DOPPU_Q0009QueryResults
[Saleslength]/[Deals_won]
RESTRICT([Expected_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="4" )

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Model Name: SAP__ CRM_GEN_IM_OPPORTUNITIES

Average_deal_size

Average Deal Size

Sales_employees Revenue_item_won

Sales Employees Product Revenue Won

Revenue_item_lost

Product Revenue Won

Revenue_Pipeline

Product Revenue Lost

Deals_won

Weighted Revenue Pipeline

Deals_lost

Deals Won

Opportunity_win_ratio

Deals Lost

Deals_in_pipleline Revenue_lost

Opp Win Rate Revenue Lost

Target_revenue Deals_closed

Target Revenue Deals Closed

Revenue_item_pipeline

Product Revenue Pipeline

Quota_revenue
Product_weightage Revenue_item_pipeline
Product_factoring Seasonality_trend Dimensions ID

Quota Share - CY Product Revenue Pipeline Product Factoring Seasonality Trend
Description

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[Expected_Value]/[Number_of_Oppor tunities]
[Number_of_Opportunities]
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="4" )
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="4" )
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="5" )
RESTRICT([Weighted_Value],[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]=("1","2") )
RESTRICT([Number_of_Opportuni ties] ,[d/SAP_CRM_OPP_LIFECYCLES TATUS]="4" )
RESTRICT([Number_of_Opportuni ties] ,[d/SAP_CRM_OPP_LIFECYCLES TATUS]="5" )
[Deals_won]/ [Number_of_Opportuni ties]
RESTRICT([Expected_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="5" )
LOOKUP([Expected_Value] ,[d/ Version]="public.Target" )
RESTRICT([Number_of_Opportuni ties] ,[d/SAP_CRM_OPP_LIFECYCLES TATUS]=("4","5") )
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]=("1","2") )
LOOKUP([Expected_Value] ,[d/ Version]="public.Quota" )
LOOKUP([Revenue_item_won] ,[d/ Version]="public.Actual" )
[Item_Value] * [Product_weightage]
%GRANDTOTAL([Expected_Value] )
Mapping
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Model Name: SAP__ CRM_GEN_IM_OPPORTUNITIES

Connection

Time*

Time

Month/ Calendar Year ID: filter on previ ous, current and next year

SAP_ALL_COUNTRY

Country

Country ID

SAP_CRM_GEN_LEAD

Lead

Sales Lead ID

SAP_ALL_MATERIAL

Material

Product ID

SAP_ALL_MATERIALGROUP

Material Group

Product Group ID

SAP_CRM_OPP_WINLOSSREASON

Win Loss Reason

Reason for Status ID

SAP_CRM_OPP_SALESCYCLE

Sales Cycle

Sales Cycle ID

SAP_ALL_SALESORGANISATION

Sales Organisation

Sales Organization ID

SAP_CRM_OPP_SALESPHASE

Sales Phase

Sales Phase ID

SAP_ALL_SALESUNIT

Sales Unit

Sales Unit ID

SAP_ALL_CITY

City

City ID

SAP_CRM_GEN_OPPORTUNITY

Opportunity

Opportunity ID

SAP_ALL_CUSTOMER

Customer

Account ID

SAP_ALL_TERRITORY

Territory

Territory ID

SAP_CRM_OPP_ABCCLASSIFY

ABC Classification

ABC Classification ID

SAP_CRM_OPP_STARTDATE

Start Date

Start Date ID

SAP_CRM_OPP_CAMPAIGN

Campaign

Campaign ID

SAP_CRM_OPP_COMPETITOR

Competitor

Competitor ID

SAP_ALL_DISTRIBUTIONCHANNEL Distribution Channel

Distribution Channel ID

SAP_HR_GEN_USER

User

Employee Responsible ID

SAP_ALL_INDUSTRY

Industry

Industry ID

SAP_CRM_OPP_LIFECYCLESTATUS Lifecycle Status

Lifecycle Status ID

SAP_CRM_GEN_MAINCONTACT

Main Contact

Main Contact ID

Additional Notes about the Model

To load master data into this model please the generic oData connector where the connector URL syntax is https://<sys tem>/sap/c4c/odata/v1/c4codata and use the appropriate query to load the master data.

 Note
* Private dimension and other dimensions are public.

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2.37.4.2 General ­ Leads (SAP__CRM_GEN_IM_LEADS)

Model Name: SAP__CRM_GEN_IM_LEADS

Connection

 Model Description: SAP Sales Performance: General - Leads  Planning Enabled: Yes

 Connection Type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 Connection Query: Sales Leads By Status (RPCODLEAH_Q0002Quer yResults).

Lead Account*

ID

Description

Formula/Mapping

lead_count

lead count

Number of leads

hot

hot leads

RESTRICT([lead_count] ,[d/

SAP_CRM_LEAD_QUALIFICA

TION]="3" )

warm

warm leads

RESTRICT([lead_count] ,[d/ SAP_CRM_LEAD_QUALIFICA TION]="2" )

cold

cold leads

RESTRICT([lead_count] ,[d/

SAP_CRM_LEAD_QUALIFICA

TION]="1" )

lead_conversion

Lead Conversion Ratio

[converted_leads]/ [lead_count]

converted_leads

Converted Leads

RESTRICT([lead_count] ,[d/ SAP_CRM_LEAD_LIFECYCLESTA TUS]="6" )

Dimensions

ID

Description

Mapping

SAP_ALL_CUSTOMER

Customer

Account ID

SAP_ALL_TERRITORY

Territory

Territory ID

SAP_CRM_GEN_MAINCONTACT

Main Contact

Main Contact ID

SAP_CRM_LEAD_LIFECYCLESTATUS Life Cycle Status

Lifecycle Status ID

SAP_CRM_LEAD_QUALSTATUS

Qualification Status

Qualification Status ID

SAP_CRM_LEAD_QUALIFICATION

Qualification Level

Qualification Level ID

SAP_CRM_LEAD_SOURCE

Source

Source ID

SAP_CRM_GEN_LEAD

Lead

Lead ID

Time*

Time

Month / Calendar Year ID

Additional Notes about the model

To load master data into this model please the generic oData connector where the connector URL syntax is https://<sys tem>/sap/c4c/odata/v1/c4codata and use the appropriate query to load the master data.

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2.37.4.3 Sales Performance Teaser (SAP__CRM_C4C_IM_SPTEASER)

Model Name: SAP__CRM_C4C_IM_SPTEASER
 Model Description: SAP C4C: Sales Performance Teaser  Planning Enabled: Yes

Opportunity Account* ID Expected_Value Chance_of_Success Weighted_Value Item_Value Item_Total_Value Number_of_Opportunities Revenue_won
Average_deal_size Sales_employees Revenue_item_won
Revenue_item_lost
Revenue_Pipeline
Deals_won
Deals_lost

Description Unweighted Revenue Chance of Success Weighted Revenue Item Value Item Total Value Number of Opportunities Revenue Won
Average Deal Size Sales Employees Product Revenue Won
Product Revenue Won
Product Revenue Lost
Weighted Revenue Pipeline
Deals Won

Connection
 Connection type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 Connection Query: Opportunity Analysis (RPCO DOPPU_Q0018QueryResults).
 Connector: SAP Sales Cloud (SAP_C4C)
Formula/Mapping
Expected_Value
Chance_of_Success
Weighted_Value
Item_Value
Item_Total_Value
Number_of_Opportunities
RESTRICT([Expected_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="4" )
[Expected_Value]/[Number_of_Oppor tunities]
[Number_of_Opportunities]
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="4" )
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="4" )
RESTRICT([Item_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="5" )
RESTRICT([Weighted_Value],[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]=("1","2") )
RESTRICT([Number_of_Opportuni ties] ,[d/SAP_CRM_OPP_LIFECYCLES TATUS]="4" )

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Model Name: SAP__CRM_C4C_IM_SPTEASER

Opportunity_win_ratio

Deals Lost

Deals_in_pipleline Revenue_lost

Opp Win Rate Revenue Lost

Deals_closed

Deals Closed

Dimensions ID Time

Description Time

Country ID Product ID Product Category ID Reason for Status ID Sales Phase ID Sales Unit ID Opportunity ID Account ID Territory ID Competitor ID Employee Responsible ID Industry ID Lifecycle Status ID Additional Notes about the model

Country Product Product Category Reason for Status Sales Phase Sales Unit Opportunity Customer Territory Competitor Employee Responsible Industry Lifecycle Status

Connection
RESTRICT([Number_of_Opportuni ties] ,[d/SAP_CRM_OPP_LIFECYCLES TATUS]="5" ) [Deals_won]/ [Number_of_Opportuni ties] RESTRICT([Expected_Value] ,[d/ SAP_CRM_OPP_LIFECYCLESTA TUS]="5" ) RESTRICT([Number_of_Opportuni ties] ,[d/SAP_CRM_OPP_LIFECYCLES TATUS]=("4","5") )
Mapping Month/ Calendar Year ID: filter on previ ous, current and next year using Clos ing Date ID Country ID Product ID Product Category ID Reason for Status ID Sales Phase ID Sales Unit ID Opportunity ID Account ID Territory ID Competitor ID Employee Responsible ID Industry ID Lifecycle Status ID

This model uses only local dimensions. Master data is uploaded during transactional data upload. This model can be used to easily show customer data after switching connection.
Please note that for productive use, it is better to separately load the master and Tx data as is the case in the first 2 models. This model assumes that the date format for time dimension is MM/YYYY. If it is not, then you need to create your own query based on the selections mentioned above and perform the right data transformation to map your MonthYear to time dimension.

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2.38 Service Performance (SRV)
2.38.1 Architecture and Abstract
SAP CRM Service Performance content is developed based on SAP Hybris Cloud for Customer. The area addressed is in performance of Service Ticketing Architecture The building blocks are as shown:

2.38.2 Stories
SAP CRM: C4C Service Cloud - Service Performance (SAP__CRM_SRV_PERFORMANCE) This is the single story which consists of 3 pages. The story provides analysis of Service Tickets Performance. The Overview page helps analyse service ticket creation trend, priority and status, various performance times such as lead time, and social media involvement. The Agent Performance helps understand agent performance for agent groups and that of individual agents. In the Adhoc Analysis page, one can perform freestyle analysis of various KPIs, and dimensions driven by smart grouping.

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2.38.3 Models
There are 3 Models:

2.38.3.1 SAP CRM: C4C Service Cloud - Tickets (SAP__CRM_SRV_IM_TICKETS)

Model Name: SAP__CRM_SRV_IM_TICKETS
 Model Description: SAP CRM: C4C Service Cloud - Tickets  Planning Enabled: Yes

Account ID Lead_Time_s Number_of_Interaction_Steps Age_s Total_Time_at_Processor_s Total_Time_at_Requestor_s Number_of_Response_Cycles Total_Response_Duration_s Number_of_Missed_Responses Number_of_Tickets Number_of_Tickets_Com pleted_on_Schedule Average_Lead_Time
Average_Age
Tickets_Open
Tickets_InProcess
Tickets_InEscalation

Description Lead Time (s) Number of Interaction Steps Age (s) Total Time at Processor (s) Total Time at Requestor (s) Number of Response Cycles Total Response Duration (s) Number of Missed Responses Number of Tickets Number of Tickets Completed on Schedule Average Lead Time (days)
Average Age (days)
Tickets Open
Tickets In Process
Tickets In Escalation

Connection
 Connection type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 Connection Query: Custom Query based on Data source CRMSRQHB
Formula/Mapping Lead_Time_s Number_of_Interaction_Steps Age_s Total_Time_at_Processor_s Total_Time_at_Requestor_s Number_of_Response_Cycles Total_Response_Duration_s Number_of_Missed_Responses Number_of_Tickets Number_of_Tickets_Com pleted_on_Schedule ([Lead_Time_s]/[Number_of_Tick ets])/(3600*24) ([Age_s]/[Number_of_Tickets])/(3600 *24) LOOKUP([Number_of_Tickets] ,[d/ Lifecycle_Status_ID]="1" ) LOOKUP([Number_of_Tickets] ,[d/ Lifecycle_Status_ID]="2") LOOKUP([Number_of_Tickets] , [d/ Lifecycle_Status_ID]=("1","2")and [d/ Escalation_Status_ID]="2")

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Model Name:

SAP__CRM_SRV_IM_TICKETS

Connection

Avg_Time_at_Processor_s

Average Time at Processor (days)

([Total_Time_at_Processor_s]/[Num ber_of_Tickets])/(3600*24)

Avg__Time_at_Requestor_s

Average Time at Requestor (days)

([Total_Time_at_Requestor_s]/[Num ber_of_Tickets])/(24*3600)

Avg_response_duration

Average Response Duration (days)

([Total_Response_Duration_s]/[Num ber_of_Tickets])/(24*3600)

Dimensions

ID

Description

Mapping

Time

Time

Created on ­ filter on current and previ ous year

Service_Organization_ID_ID

Service Organization

Service_Organization_ID_ID

Source_ID

Source

Source_ID

Escalation_Status_ID

Escalation Status

Escalation_Status_ID

Lifecycle_Status_ID

Lifecycle Status

Lifecycle_Status_ID

Ticket_Solution_Status_ID

Ticket Solution Status

Ticket_Solution_Status_ID

Status_ID

Status

Status_ID

Account_ID

Account

Account_ID

Ticket_ID

Ticket

Ticket_ID

Agent_ID

Agent

Agent_ID

Reported_By_ID

Reported By

Reported_By_ID

Sales_Unit_ID

Sales Unit

Sales_Unit_ID

Service_and_Support_Team_ID

Service and Support Team

Service_and_Support_Team_ID

Affected_Product_Category_ID

Affected Product Category ID

Affected_Product_Category_ID

Product_ID

Product

Product_ID

Contract_ID_ID

Contract

Contract_ID_ID

Service_Category_ID_ID

Service Category

Service_Category_ID_ID

Contract_Status_ID

Contract Status

Contract_Status_ID

Priority_ID

Priority

Priority_ID

Completion_Date_ID

Completion Date

Completion_Date_ID

Additional Notes about the model

This model uses only local dimensions. Master data is uploaded during transactional data upload.

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2.38.3.2 SAP CRM: C4C Service Cloud - Ticket Times (SAP__CRM_SRV_IM_TICKETTIMES)

This model provides additional ticket times which is not available in the main model.

Model Name: SAP__CRM_SRV_IM_TICKETTIMES

Connection

 Model Description: SAP CRM: C4C Service Cloud- Ticket Times  Planning Enabled: No

 Connection type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 Connection Query: RPSEODSRQDTS01_Q0001Quer yResults (All Tickets)

Account

ID

Description

Formula/Mapping

Ticket_Handling_Time_Secs

Ticket Handling Time (Secs)

Ticket_Handling_Time_Secs

Initial_Review_Time_Secs

Initial Review Time (Secs)

Initial_Review_Time_Secs

Avg_Ticket_Handling_Time_Secs

Avg. Ticket Handling Time (days)

[Ticket_Handling_Time_Secs]/ (3600*24)

Avg_Initial_Review_Time_Secs

Avg. Initial Review Time (days)

[Initial_Review_Time_Secs]/(3600*24)

Dimensions

ID

Description

Mapping

Ticket_ID

Ticket

Ticket_ID

Additional Notes about the model

This model uses only local dimensions. Master data is uploaded during transactional data upload.

2.38.3.3 SAP CRM: Services - Ticket Interaction (SAP__CRM_SRV_IM_TICKETINTERACT)
This model tracks the entire set of interactions taking place on a ticket with additional focus on social media.

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Model Name: SAP__CRM_SRV_IM_TICKETINTERACT
 Model Description: SAP CRM: Services - Ticket Interaction  Planning Enabled: No

Interaction Account

ID

Description

Number_of_Interaction_Steps

Number of Interaction Steps

Number_of_Response_Cycles

Number of Response Cycles

Number_of_Missed_Responses

Number of Missed Responses

Number_of_EMail_Interactions

Number of E-Mail Interactions

Number_of_Chat_Conversations

Number of Chat Conversations

Number_of_Interactions

Number of Interactions

Number_of_Manually_Created_Tickets Number of Manually Created Tickets

Number_of_Portal_Replies_from_Cus Number of Portal Replies from Cus

tomer

tomer

Number_of_Portal_Interactions

Number_of_Portal_Interactions

Number_of_Portal_Replies_to_Cus tomer

Number_of_Portal_Replies_to_Cus tomer

Number_of_SMS_interaction

Number_of_SMS_interaction

Number_of_Phone_Calls

Number_of_Phone_Calls

Number_of_Social_Interactions

Number_of_Social_Interactions

Number_of_Internal_Notes

Number_of_Internal_Notes

Dimensions

ID

Description

Time

Time

Direction_ID Social_Media_Channel_Type_ID Channel_ID_ID Interaction_Direction_ID Social_Media_Message_Category Ticket_ID Interaction_Sentiment_ID Additional Notes about the model

Direction Channel Type Channel Interaction Direction Message Category Ticket Interaction Sentiment

Connection
 Connection type: SAP Hybris Cloud for Customer > SAP Hybris Cloud for Customer Analytics
 Connection Query: RPSEODSRQDTS01_Q0005Re sults (All Tickets with All Interac tions)
Formula/Mapping Number_of_Interaction_Steps Number_of_Response_Cycles Number_of_Missed_Responses Number_of_EMail_Interactions Number_of_Chat_Conversations Number_of_Interactions Number_of_Manually_Created_Tickets Number_of_Portal_Replies_from_Cus tomer Number_of_Portal_Interactions Number_of_Portal_Replies_to_Cus tomer Number_of_SMS_interaction Number_of_Phone_Calls Number_of_Social_Interactions Number_of_Internal_Notes
Mapping Interaction data ­ filter on current and previous year Direction_ID Social_Media_Channel_Type_ID Channel_ID_ID Interaction_Direction_ID Social_Media_Message_Category Ticket_ID Interaction_Sentiment_ID

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Model Name: SAP__CRM_SRV_IM_TICKETINTERACT

Connection

This model uses only local dimensions. Master data is uploaded during transactional data upload.

2.39 Solution Manager (SOLMAN)
2.39.1 Architecture and Abstract
SAP Solution Manager delivers content for two important areas:
- SAP Solution Manager IT Service Management ­ Incidents Analytics
- SAP Solution Manager Test Suite Analytics
The two areas are independent of each other and are consequently treated separately in this documentation:
SAP Solution Manager IT Service Management ­ Incident Analytics delivers a predefined analytic solution for SAP customers who make use of IT Service Management in SAP Solution Manager for their incident handling process.
It helps roles such as IT service desk, manager/IT, and the support lead/project manager monitor and analyse their focused incidents, such as how many incidents are created/closed/still open, what're these incidents about, and its current status, how they're distributed among support teams. It also provides more detailed insights such as historical trends and SLA (Service Level Agreement) adherence.
It provides an overview of KPIs such as:  Number of open/closed/created incidents  Trend of created/closed incidents  MPT/IRT compliance  Incident duration and processing time
Thus, IT service manager can ensure that all the incidents are solved in time and take actions to improve their incident handling process.
SAP Solution Manager IT Service Management ­ Incident Analytics is built based on BW query Master Query of Incident Reporting (technical name: 0SPR_BOC_SMQ_0SPRINCU) in SAP Solution Manager 720 SP06 (or newer). You should activate BW content during setting up IT Service Management scenario in SAP Solution Manager configuration to make BW query available.

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The building blocks are as shown:
SAP Solution Manager Test Suite Analytics delivers a predefined analytic solution for SAP customers who make use of Test Suite in SAP Solution Manager for managing their testing process. It helps roles such as test manager/test coordinator report their testing status, automatically compile important statistics and reports for current test cycle/scope, instead of manual calculations. It delivers an overview of current testing status such as how many test plans and test cases are there, what are the test execution status, how about the test coverage rate and OK rate. It also provides more detailed insights such as historical progress of test execution status as well as coverage/OK rate. SAP Solution Manager Test Suite Analytics is built based on the SAP BW query Progress Analytics (technical name: 0SMTMP01/0SMT_TP_STATUS_PROG) in Solution Manager 7.2 SP03 (or newer). You should activate BW content during setting up Test Suite scenario in SAP Solution Manager configuration, to make BW query available.

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The building blocks are as shown:

2.39.2 Stories
SAP Solution Manager ITSM Analytics - Incidents (SAP__SOLMAN_ITSM_INCIDENT) IT Service Management ­ Incident Created Model (SAP__SOLMAN_ITSM_INCIDENT_CR) SAP Solution Manager Test Suite Analytics (SAP_SOLMAN_TEST_SUITE_ANALYTICS)

2.39.3 SOLMAN IT Service Management: Models
2.39.3.1 IT Service Management ­ Incident Created Model (SAP__SOLMAN_ITSM_INCIDENT_CR)

Model Name: SAP__SOLMAN_ITSM_INCIDENT_CR

Connection

 Model Description: IT Service Management ­ Incident Created Model
 Planning Enabled: No

 Connection Type: Import Data Connection to an SAP BW System
 Connection Query: 0SPR_BOC_SMQ_0SPRINCU

Incident Measures* ID DOC_NO PROCESS AVERAGE_PROC_TIME DURATION DUR_TIME IRT_MEET

Description No. of Incidents Mean Time to Repair (Hours) Average Processing Time in Hours Processing time (Hours) Average Duration in Hours No. of IRT Meet

Formula/Mapping 0SPR_CKF_CNT 0SPR_CKF_MTTRH [PROCESS]/[DOC_NO] 0SPR_CKF_PROCTH [DURATION]/[DOC_NO] No. of IRT Meet

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Model Name: SAP__SOLMAN_ITSM_INCIDENT_CR

IRT_EXCEEDED

No. of IRT Exceeded

IRT_SPENT

IRT Spent(Minutes)

IRT_TIME

Average Time of IRT

Connection

IRT_COM MPT_MEET MPT_EXCEEDED MPT_SPENT MPT_TIME

Average IRT Compliance No. of MPT Meet No. of MPT Exceeded MPT Spent(Minutes) Average Time of MPT

MPT_COM

Average MPT Compliance

Dimensions

ID

Description

Time*

Time

SAP_SOL MAN_ITSM_LB_INAC

Incident Measures

SAP_SOL MAN_ITSM_LB_SID

System ID

SAP_SOL MAN_ITSM_LB_STATUS

Aggregated Status

SAP_SOL MAN_ITSM_LB_TYPE

Transaction Type

SAP_SOL MAN_ITSM_LB_GUID

Message Number

SAP_SOLMAN_ITSM_LB_PRI Priority

SAP_SOL MAN_ITSM_LB_STEAM

Support Team

SAP_SOL MAN_ITSM_LB_CAT

Category

SAP_SOL MAN_ITSM_LB_COMPF

Completed Flag

SAP_SOL MAN_ITSM_LB_CRET

Creation Date

SAP_SOL MAN_ITSM_LB_IRTM

IRT Meet

SAP_SOL MAN_ITSM_LB_MPTM

MPT Meet

SAP_SOL MAN_ITSM_LB_PROJ

Project

Content Package User Guide Line of Business

[DOC_NO]-[IRT_MEET] 0SPRIRTACT ([IRT_SPENT]/ [DOC_NO])/60 [IRT_MEET]/[DOC_NO] No. of MPT Meet [DOC_NO]-[MPT_MEET] 0SPRMPTACT ([MPT_SPENT]/ [DOC_NO])/60 [MPT_MEET]/[DOC_NO]
Mapping 0SPRCREATED
0SPR_SID
0SPRSMTST
0SPRTTYPE
0SPRMGNO
0SPRMGPRITD 0SPRBPSUT
0SPRCATLV1
0SPRCOMPL
0SPRCREATED
0SPRIRTMT
0SPRMPTMT
0SPRPPMPRO

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Model Name: SAP__SOLMAN_ITSM_INCIDENT_CR

SAP_SOL MAN_ITSM_LB_PROJPH

Project Phase

Connection

 Note
* Private dimension and other dimensions are public.

0SPRPPMPHS

2.39.3.2 IT Service Management ­ Incident Closed Model (SAP__SOLMAN_ITSM_INCIDENT_CL)

Model Name: SAP__SOLMAN_ITSM_INCIDENT_CL
 Model Description: IT Service Management ­ Incident Closed Model  Planning Enabled: No

Incident Measures ID DOC_NO PROCESS AVERAGE_PROC_TIME DURATION DUR_TIME IRT_MEET IRT_EXCEEDED IRT_SPENT IRT_TIME IRT_COM MPT_MEET MPT_EXCEEDED MPT_SPENT MPT_TIME MPT_COM Dimensions ID Time*

Description No. of Incidents Mean Time to Repair (Hours) Average Processing Time in Hours Processing time (Hours) Average Duration in Hours No. of IRT Meet No. of IRT Exceeded IRT Spent(Minutes) Average Time of IRT Average IRT Compliance No. of MPT Meet No. of MPT Exceeded MPT Spent(Minutes) Average Time of MPT Average MPT Compliance
Description Time

Connection  Connection Type: Import Data
Connection to an SAP BW System  Connection Query:
0SPR_BOC_SMQ_0SPRINCU
Formula/Mapping 0SPR_CKF_CNT 0SPR_CKF_MTTRH [PROCESS]/[DOC_NO] 0SPR_CKF_PROCTH [DURATION]/[DOC_NO] No. of IRT Meet [DOC_NO]-[IRT_MEET] 0SPRIRTACT ([IRT_SPENT]/[DOC_NO])/60 [IRT_MEET]/[DOC_NO] No. of MPT Meet [DOC_NO]-[MPT_MEET] 0SPRMPTACT ([MPT_SPENT]/[DOC_NO])/60 [MPT_MEET]/[DOC_NO]
Mapping 0SPRCDAY

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Model Name: SAP__SOLMAN_ITSM_INCIDENT_CL

SAP_SOLMAN_ITSM_LB_INAC

Incident Measures

SAP_SOLMAN_ITSM_LB_SID

System ID

SAP_SOLMAN_ITSM_LB_STATUS

Aggregated Status

SAP_SOLMAN_ITSM_LB_TYPE

Transaction Type

SAP_SOLMAN_ITSM_LB_GUID

Message Number

SAP_SOLMAN_ITSM_LB_PRI

Priority

SAP_SOLMAN_ITSM_LB_STEAM

Support Team

SAP_SOLMAN_ITSM_LB_CAT

Category

SAP_SOLMAN_ITSM_LB_COMPF

Completed Flag

SAP_SOLMAN_ITSM_LB_CRET

Creation Date

SAP_SOLMAN_ITSM_LB_IRTM

IRT Meet

SAP_SOLMAN_ITSM_LB_MPTM

MPT Meet

SAP_SOLMAN_ITSM_LB_PROJ

Project

SAP_SOLMAN_ITSM_LB_PROJPH

Project Phase

 Note
* Private dimension and other dimensions are public.

Connection
0SPR_SID 0SPRSMTST 0SPRTTYPE 0SPRMGNO 0SPRMGPRITD 0SPRBPSUT 0SPRCATLV1 0SPRCOMPL 0SPRCREATED 0SPRIRTMT 0SPRMPTMT 0SPRPPMPRO 0SPRPPMPHS

2.39.3.3 Test Suite ­ Analysis Model for Current (SAP__SOLMAN_TS_CURRENT)

Model Name: SAP__SOLMAN_TS_CURRENT
 Model Description: SAP Solution Manager Test Suite - Analysis Model for Current
 Planning Enabled: No

Accounts ID OK_Count

Description Number of Test Cases (OK)

Connection
 Connection Type: BW Query  Connection Query: BEx query in
BW (BEx query in SOLMAN 7.2 SP03 system: 0SMTMP01/0SMT_TP_STA TUS_PROG)  Connection Variables: Remove all the default variables
Formula/Mapping OK

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Model Name: SAP__SOLMAN_TS_CURRENT

Connection

No_Result_Count

Number of Test Cases

No Result

(No Result)

In_Progress_Count

Number of Test Cases

In Progress

(In Progress)

Errors_Count No_of_Test_Cases
Coverage_Rate
OK_Rate Dimensions ID

Number of Test Cases (Errors) Number of Test Cases
Coverage (%) OK Rate (%)
Description

Errors [No_Result_Count] + [In_Prog ress_Count] + [OK_Count] + [Er rors_Count] ([OK_Count] + [In_Progress_Count] + [Errors_Count])/[No_of_Test_Cases] [OK_Count]/[No_of_Test_Cases]
Mapping

Time SAP_SOLMAN_TS_LB_Solution SAP_SOLMAN_TS_LB_Branch SAP_SOLMAN_TS_LB_TestPlanID SAP_SOLMAN_TS_LB_TestCase SAP_SOLMAN_TS_LB_TCStatusTP

Time Solution Branch Test Plan ID Test Case Test Case Status (TestPlan)

Solution (text) Branch (text) Test Plan ID (text) Test Case (long text)
Test Case Status (Test Plan)

(text)

SAP_SOLMAN_TS_LB_CALDAY

Calendar Day

Snapshot Day (key)

Additional Notes about the model

During the selection fields from the BEx query in data importing, make sure field presentation as below: Solution (text), Branch(text), Test Plan ID (key and text), Test Case (key and long text), Test case Status (test plan) (text), and snapshot Day (key).

 Note
* Private dimension and other dimensions are public.

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2.39.3.4 Test Suite ­ Analysis Model for Historical (SAP__SOLMAN_TS_HISTORICAL)

Model Name: SAP__SOLMAN_TS_HISTORICAL

Connection

 Model Description: SAP Solution Manager Test Suite - Analysis Model for Historical
 Planning Enabled: No

 Connection Types: Connection type: BW Query
 Connection Query: 0SMTMP01/0SMT_TP_STA TUS_PROG from SAP Solution Manager 7.2 SP03
 Connection Variables: Remove all the default variables

Account* ID OK_Count No_Result_Count In_Progress_Count Errors_Count No_of_Test_Cases
Coverage_Rate
OK_Rate Dimensions ID Time* SAP_SOLMAN_TS_LB_Solution SAP_SOLMAN_TS_LB_Branch SAP_SOLMAN_TS_LB_TestPlanID SAP_SOLMAN_TS_LB_TestCase SAP_SOLMAN_TS_LB_TCStatusTP

Description Number of Test Cases (OK) Number of Test Cases (No Result) Number of Test Cases (In Progress) Number of Test Cases (Errors) Number of Test Cases
Coverage (%)
OK Rate (%)
Description Time Solution Branch Test Plan ID Test Case Test Case Status (TestPlan)

Formula/Mapping Snapshot Day (key) No Result In Progress Errors [No_Result_Count] + [In_Prog ress_Count] + [OK_Count] + [Er rors_Count] ([OK_Count] + [In_Progress_Count] + [Errors_Count])/[No_of_Test_Cases] [OK_Count]/[No_of_Test_Cases]
Mapping Snapshot Day (key) Solution (text) Branch (text) Test Plan ID (text) Test Case (long text)
Test Case Status (Test Plan)

(text)

Additional Notes about the model
During the selection fields from the BEx query in data importing, make sure field presentation as below: Solution (text), Branch(text), Test Plan ID (key and text), Test case (key and Long text), Test case Status (test Plan) (text), and Snapshot Day (key).

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 Note
* Private dimension and other dimensions are public.
2.40 Supply Base Optimization: Part Negotiation History 2.40.1 Architecture and Abstract
Architecture

The colored objects are documented in this chapter.
The documentation for the greyed-out stories and models can be found in the respective Lines of Business (LoB) chapters.
Usage in Industry specific Boardrooms

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The current usage in Industries is listed below:
Industry High Tech

Story SAP__PROC_SBO_PARTHISTORY_LI

2.40.2 Dashboard
Root Topic Name Part Negotiation History

Topic Level 1 Overall Part History Supplier Quote/Wtd.Avg.Price Demand

2.40.3 Models

Model Name: Technical Name of Model Model Description: Part History Detail Cube Planning Enabled: No
Model Description: Weighted Price Detail Cube Planning Enabled: No Additional Notes about the model Provide additional information about the model if needed.

Connection Live Connection
Live Connection

 Note
*Private dimension, other dimensions are public.

2.40.4 Stories

Part Negotiation History (SAP__PROC_SBO_PARTHISTORY_LI)

Measure Name Supplier Quote Award Split % Demand

Type SUM SUM SUM

Content Package User Guide Line of Business

Formula

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Measure Name Lead Time MOQ Target Price Baseline Price Wtd.Avg.Price MPQ

Type SUM SUM SUM SUM SUM SUM

Formula

2.41 Supply Base Optimization: Supplier Performance 2.41.1 Architecture and Abstract
Supplier Performance: Architecture and Abstract

The colored objects are documented in this chapter.
The documentation for the greyed out stories and models can be found in the respective Lines of Business (LoB) chapters:
Usage in Industry specific Boardrooms

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The current usage in Industries is listed below:
Industry High Tech

Story SAP__PROC_SBO_SUPPLIERPERFORMANCE_LI

2.41.2 Dashboard
Root Topic Name Supplier Performance

Topic Level 1 Performance(Single Supplier) Charts(Single Supplier) Performance(Comparison) Charts(Comparison)

2.41.3 Models

Model Name: Technical Name of Model
 Model Description: Supplier Performance Cube  Planning Enabled: No Additional Notes about the model Provide additional information about the model if needed

Connection Live Connection

 Note
*Private dimension, other dimensions are public.

2.41.4 Stories

Supplier Performance (SAP__PROC_SBO_SUPPLIERPERFORMANCE_LI)

Measure Name Baseline Price Baseline Spend Current Spend Current Split

Type SUM SUM SUM SUM

Formula

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Measure Name Demand Quoted Price Target Price Target Spend

Type SUM SUM SUM SUM

Formula

Title: SAP__PROC_SBO_SUPPLIERPERFORMANCE_LI Description: Supplier Performance The table provides a detailed description of the suppliers. Page: Performance(Single Supplier) Type: Responsive Charts Title Performance(Single Supplier)

Model Used SAP__PROC_SBO_LH_SUPPLIERPERFORMANCE

Provides the following KPIs for different projects:  Demand  Split %  Baseline Price  Quoted Price  Spend  Realized Savings
Supplier and Time Period are dynamic filters.
Title: SAP__PROC_SBO_SUPPLIERPERFORMANCE_LI
What is the demand for a specific commodity group for a supplier over the years?
Performance(Single Supplier)
Compare Demand, Split%, Baseline Price, Quoted Price, Spend, Realized Savings of a single supplier.
Performance(Single Supplier)
Page Filters/Input Control

Supplier Time Period Page: Charts(Single Supplier) Type: Responsive Charts Title Charts(Single Supplier)

Models Used SAP__PROC_SBO_LH_SUPPLIERPERFORMANCE

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Title: SAP__PROC_SBO_SUPPLIERPERFORMANCE_LI
Provides the following KPIs for a single supplier:  Requests with Responses  Requests without Responses  Awarded Requests  Disqualified Requests  Withdrawn Requests
Supplier and Time Period are dynamic filters. How many requests were awarded, withdrawn and disqualified which belongs to a particular supplier? Single Supplier Request Chart What is the Total Spend, Realized Savings and Realized Savings% for a single supplier? Single Supplier Request Chart Page Filters/Input Control
Supplier Time Period

Page: Performance(Comparison) Type: Responsive Charts Title Performance(Comparison)

Model Used SAP__PROC_SBO_LH_SUPPLIERPERFORMANCE

Provides the following KPIs for different Supply Base Managers:
 Demand  Split %  Baseline Price  Quoted Price  Spend  Realized Savings
Supplier and Time Period are dynamic filters.
Compare Demand, Split%, Baseline Price, Quoted Price, Spend, Realized Savings of multiple supplier.
Performance(Comparison)

Page Filters/Input Control Supplier Time Period

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Page: Charts(Comparison) Type: Responsive Charts Title Charts(Comparison)

Model Used SAP__PROC_SBO_LH_SUPPLIERPERFORMANCE

Provides the following KPIs for different Supply Base Managers:  Number of Parts Awarded per Supplier  Realized Savings per Supplier(in USD)  Awarded Spend per Supplier(in USD)
Supplier and Time Period are dynamic filters. Compare Parts Awarded per Supplier, Realized Savings per Supplier and Awarded Spend per Supplier for multiple supplier. Charts(Comparison) Page Filters/Input Control

Supplier Time Period

2.42 SAP Ariba: Enterprise Analytics for Procurement 2.42.1 Architecture and Abstract

The Procurement Analytics Story for SAP Analytics Cloud is one integrated solution that provides analytics based on Ariba Data. It measures Compliance, Process Efficiency, Sourcing Savings and Working Capital to reduce spend by following established procurement processes, payment terms and the most efficient processing methods within an organization.
1. Compliance ­ Measures contract and purchase order compliance by showing the resulting compliance benefits of using Ariba or cost of not using Ariba effectively. Users can investigate by dimensions such as suppliers, purchasing groups and cost centers to determine if best practices are being used as expected.
2. Process Efficiency ­ Measures an organization's invoice processing efficiency, either through automation or the use of procurement FTEs to determine invoice exceptions encountered when reconciling invoices. Exceptions monitoring for invoices ensure proper compliance on agreements with suppliers for items such as order quantity, quantity received and pricing terms.
3. Sourcing Savings ­ Measures the savings captured from Ariba savings forms for materials procured via established contracts. This allows for deeper analysis on when savings do not match negotiated savings by dimensions such as commodity, cost center and supplier.
4. Working Capital ­Measures KPIs to maximize working capital by showing when established supplier terms are followed and maximized. Also shows when early payment discounts negotiated with suppliers are achieved through efficient invoice processing.

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2.42.2 Stories
This package contains a story: SAP Ariba: Procurement Analytics (SAP__PROC_PROCUREMENT_ANALYTICS)
 Note
The currency used in the story is the same as the chosen reporting currency in the source Ariba system.

2.42.2.1 Compliance Page Calculated Measures

These calculations are based on measures and dimensions from the Invoice Line View model.

Measure Name Compliance Benefit Non Compliance Cost % Compliance Change Compliant Spend % Non Compliant Spend %

Type Calculated Measure
Calculated Measure
Calculated Measure
Calculated Measure Calculated Measure

Formula/Properties
[% Compliance Change] * ([Avg Sav ings Rate] / 100 ) * [Total Invoiced]
[Total Invoiced] * ([Avg Savings Rate] / 100) * (1 [Compliant Spend %])
[Compliant Spend %] ([Prior Year Com pliant % / 100)
[Compliant Spend] / [Total Invoiced]
[Non-Compliant Spend] / [Total In voiced]

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Measure Name PO Used Invoice Count % On Contract Spend Invoice Line Count Commodity Count Cost Center Count Supplier Count

Type Aggregation Aggregation Aggregation Calculated Measure Aggregation Aggregation Aggregation

Formula/Properties COUNT DIMENSIONS [Order Number Inv)] COUNT DIMENSIONS [Realm_Invoice] [Compliant Spend] / [Total Invoiced]
COUNT DIMENSIONS [Invoice Number-Line] COUNT DIMENSIONS [CommodityId] COUNT DIMENSIONS [Cost Center ID] COUNT DIMENSIONS [Supplier Full Name]

2.42.2.2 Process Efficiency Page Calculated Measures

These calculations are based on measures and dimensions from the Requisitions, Orders and Invoices model.

Measure Name Invoices Order Count Invoices with Exceptions Exceptions % FTE Count Invoice Count per FTE

Type Aggregation
Aggregation
Aggregation
Calculated Measure Aggregation
Calculated Measure

Formula/Properties COUNT DIMENSIONS - [Realm_Invoice] COUNT DIMENSIONS - [Order Number] COUNT DIMENSIONS - [Exception Short Invoice ID] [Invoices with Exceptions] / [Invoices] COUNT DIMENSIONS - [Preparer Name] [Invoices] / [FTE Count]

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Measure Name Exception Invoices per FTE

Type Calculated Measure

Formula/Properties
[Invoices with Exceptions] / [FTE Count]

2.42.2.3 Sourcing Savings Calculated Measures

These calculations are based on measures and dimensions from the Strategic Savings model.

Measure Name Actual Savings % Negotiated Savings %
Min Savings Duration

Type Calculated Measure Calculated Measure
Date Difference

Max Savings Duration

Date Difference

Avg Savings Duration

Date Difference

Project count

Aggregation

Formula/Properties [Actual Savings] / [ActualSpend]
[NegotiatedSavings] / [Negotiated SpendB] - Result Granularity: Day - Time A [Savings End Date] - Time B [Savings Start Date] - Result Aggregation Operation: MIN
- Result Granularity: Day - Time A [Savings End Date] - Time B [Savings Start Date] - Result Aggregation Operation: MAX
- Result Granularity: Day - Time A [Savings End Date] - Time B [Savings Start Date] - Result Aggregation Operation: AVERAGE
COUNT DIMENSIONS - [Project Information]

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2.42.2.4 Working Capital Calculated Measures

These calculations are based on measures and dimensions from the Requisitions, Orders and Invoices model.

Measure Name Avg NET Terms Discount Savings % Avg PO Amount
Avg Savings

Type Calculated Measure Calculated Measure Aggregation
Aggregation

Formula/Properties
[Terms Calc] / [Total Invoiced]
[Potential Discount Amout] / [PO Spend]
- AVERAGE - [PO Spend] by [Order Number (Inv)] - Conditional Aggregation [No]
- AVERAGE exl. 0, NULL - [Potential Discount Amount] by [Or der Number (Inv)] - Conditional Aggregation [No]

2.42.3 Models

The Story is using the following Data Warehouse Cloud models. They are all based on a live connection to the SAP Data Warehouse Cloud system. Setup the connection with the name SAPDWC.

Business Name Invoice Line View Strategic Savings Requisitions Orders and Invoices

Technical Name SAP_PROC_RL_INVOICES

Connection SAPDWC

SAP_PROC_RL_STRATEGIC_SAVINGS SAPDWC

SAP_PROC_RL_REQ_ORD_INV

SAPDWC

Please navigate to the SAP Data Warehouse Cloud content documentation for details.

2.43 SAP Ariba Spend Analysis 2.43.1 Architecture and Abstract
The SAP Ariba Spend Analysis package for SAP Data Warehouse Cloud and SAP Analytics Cloud provides a visualization extension of SAP Ariba Spend Analysis data. This package is aimed towards sourcing managers,

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category managers, and procurement business analysts to inform decision making within procurement spending.
2.43.2 Stories 2.43.2.1 Spend Analysis General Overview
(SAP__PROC_SA_GeneralOverview
Provides a general overview of the company's current spend. It displays how the spend is distributed among different factors and trends for a period of 8 quarters. The assessment also highlights compliance areas that need to be managed differently.

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SAP__PROC_SA_GeneralOverview Story Filters
Filters Applied Limitations/ Considerations

- Choose Date: Select the last quarter of data that should be included in the analysis.
- Site Region: Select specific company site region user wants included or excluded in the story.
- Source System: Select specific company site region user wants included or excluded in the story.
- Accounting Date: Displays the 8 quarters of data included in the story. The range automatically updates based on the "Choose Date" and cannot be modified.
- ACT L3: Select specific Ariba Custom Taxonomy level 3 cat egories user wants included or excluded in the story.
- Supplier Global Parent: Select specific Supplier Global pa rent user wants included or excluded in the story.
- Choose Date: Users can select the time range to analyze by selecting the last quarter of data that must be included in the story. All values displayed are calculated on the last 4 calendar quarters, based on the Choose Date. All variances displayed are comparing the most recent 4 quarters com pared to the previous 4 quarters.
- The user must select the "Choose Date" based on the last data loaded in SAC, and not based on the current calendar date.

2.43.2.2 Spend Analysis Spend Assessment (SAP__PROC_SA_SpendAssessment)
Highlights important spend categories having the highest number of suppliers or having unique source supplier. This story should also help identify compliance issues and where there are opportunities to consolidate low spend suppliers.

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SAP__PROC_SA_SpendAssessment Story Filters
Filters Applied
Content Package User Guide Line of Business

Choose Date: Select the last quarter of data that should be included in the analysis.
- Site Region: Select specific company site region user wants included or excluded in the story.
- Source System: Select specific company site region user wants included or excluded in the story.
- Accounting Date: Displays the 8 quarters of data included in the story. The range automatically updates based on the "Choose Date" and cannot be modified.
- ACT L3: Select specific Ariba Custom Taxonomy level 3 cat egories user wants included or excluded in the story.
- Choose Date: Users can select the time range to analyze by selecting the last quarter of data that must be included in the story. All measures displayed are calculated on the last 4 quarters. All variances displayed are comparing the most re cent 4 quarters compared to the previous 4 quarters. Values update base on the filtered data.
- ACT L3: The following categories are excluded as most or ganizations consider them "non-sourceable": Charity Organ izations, Funds transfer and clearance and exchange serv ices (including Inter/Intra company transfers), Utilities (Electric, Water and Sewer, Oil and Gas, Steam) Utilities" and Taxation (including Sales and Income Tax).

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SAP__PROC_SA_SpendAssessment Limitations/ Considerations

- The user must select the "Choose Date" based on the last data loaded in SAC, and not based on the current calendar date.

2.43.2.3 Spend Analysis Price Optimizations (SAP__PROC_SA_PriceOptimizations)
Highlights saving opportunities where the organization is purchasing the same parts from different suppliers, from the same supplier at different prices or different company site purchased at different prices.

SAP__PROC_SA_PriceOptimizations Story Filters

- Site Region: Select specific company site region user wants included or excluded in the story.
- Source System: Select specific company site region user wants included or excluded in the story.
- ACT L3: Select specific Ariba Custom Taxonomy level 3 cat egories user wants included or excluded in the story.

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SAP__PROC_SA_PriceOptimizations Filters Applied
Limitations/ Considerations

- Accounting Date: The story is prefiltered on the four most recent calendar quarters (regardless if the data is available or not in the system). All part analyses are done at the model level (for improved performance and accuracy) and cannot be modified at the story level.
- ACT L3: The following categories are excluded to focus on net spend linked to parts: Charity Organizations, Funds transfer and clearance and exchange services and Taxation (including Sales Tax).
- Only the last four complete quarter of data are included in the analyses. It is not possible to display variance values be tween the two most recent 2 years of data.
- Only invoice transactions with a part description and in voice quantity value are included in the model and in the story.
- The unit price averages and lowest values are calculated at the Part description level and only the invoices with a posi tive amount and positive quantity.

2.43.2.4 Measures included in Spend Analysis stories

Measure # Company Sites # ERP Suppliers # Invoices # Parts Invoice Unit Price
Measures ending with "(4Q)"

Type Aggregation Aggregation Aggregation Aggregation Calculated Measure
Restricted Measure

Formula/Properties
Sum of unique company site names, ex cluding blank/null values
Sum of unique ERP Supplier names, ex cluding blank/null values
Sum of unique Invoice Ids, excluding blank/null values
Sum of unique Part Descriptions, ex cluding blank/null values
Invoice Spend divided by Invoice Quan tity, including negative spend and nega tive quantity values
Calculating specific measure for the last 4 calendar quarters, based on the "Choose Date" story filter.

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Measure Measures ending with "(P4Q)"

Type Restricted Measure

Formula/Properties
Calculating specific measure for the 4 quarters prior to the current 4 calendar quarters, based on the "Choose Date" story filter.

2.43.2.5 Measures available in the General Overview and Spend Assessment stories

Measure # Payment Terms # POs % Maverick Spend % Non-Managed Spend % Managed Spend % Compliant Spend Non-Managed Spend Managed Spend Compliant Spend Maverick Spend Spend with Contract & No PO Spend with Contract & PO Spend with PO & No Contract Actual Paid Days

Type Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Aggregation Calculated Measure

Invoice Created Before PO Count

Aggregation

Formula/Properties
Sum of unique value in the Invoice "AP PaymentTerms" field
Sum of unique PO Id
Sum of Maverick Spend divided by the sum of Invoice Spend
Sum of Non-Managed Spend divided by the sum of Invoice Spend
Sum of Managed Spend divided by the sum of Invoice Spend
Sum of Compliant Spend divided by the sum of Invoice Spend
Sum of Invoice Spend without a PO Id
Sum of Invoice Spend WITH a PO Id
Sum of Invoice Spend with a Contract Name and/or a PO Id
Sum of Invoice Spend without a PO Id AND with contract type "Non-Contract"
Sum of Invoice Spend with a contract type "Contract" and no PO Id
Sum of Invoice Spend with contract type "Contract" AND a PO Id
Sum of Invoice Spend with a PO Id and contract type "Non-Contract"
Number of days difference between the Invoice Date and Paid Date, if both dates are provided
Count number of Invoices with Invoice Date earlier than PO Ordered Date

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2.43.2.6 Measure in Spend Analysis Price Optimizations (SAP_PROC_SA_PriceOptimizations)

Measure Purchase Price Variance (4Q)

Type Aggregation

PPV: Unit Price Lowest PPV: Average Unit Price Purchase Price Alignment (4Q)

Aggregation Aggregation Aggregation

PPA: Average Unit Price Spend Optimization Cost (4Q)

Aggregation Aggregation

SOC: Average Unit Price

Aggregation

Formula/Properties
Represents the potential saving oppor tunities over the last 4 quarters. It is calculated as the sum of the spend (for a specific Part Description and ERP Supplier Name), minus the lowest unit price paid (for the same part and sup plier) multiplied by the quantity pur chased.
Lowest unit price paid for a part (for a specific ERP Supplier), over the last 4 calendar quarters.
Average unit price paid for a part (for a specific ERP Supplier), over the last 4 calendar quarters.
Represents the potential saving oppor tunities over the last 4 quarters and the best average unit price. It is calculated as the sum of the spend (for a specific Part Description, ERP Supplier Name, and Company Site Name), minus the best average unit price paid (for the same Part and ERP Supplier) multiplied by quantity purchased.
Average unit price paid (over the last 4 quarters) by a Company Site for a spe cific part and a specific ERP Supplier.
Represents the potential saving oppor tunities over the last 4 quarters and the best average unit price. It is calculated as the sum of the spend (for a specific Part Description and ERP Supplier Name), minus the best average unit price paid multiplied by quantity pur chased.
Average unit price paid (over the last 4 quarters) by a supplier for a specific part.

The following limitations and considerations apply to all Spend Analysis stories: · Diversity and Green information are not available at this time. · The flex dimension tables are not currently reportable. · Multi-fact reporting with PO currently only show limited number of PO fields.

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· If a user would prefer to analyze the spend data with a custom taxonomy or the UNSPSC, the page filter and reports need to be updated.
· Only the last complete quarter of data can be shown, and partial months/quarters cannot be displayed.
· All measures and reports within a tab are linked together. If a user selects a specific value/range, all measures and reports on the tab will update.
· Only a calendar dates can be selected at this time. It is not possible to display/select a different fiscal calendar.
· All reporting is done in the customer's base currency in the SAP Ariba Analysis system. There is no possibility to report in different currencies or in the original currency.
· The Account, Supplier Parentage, Company Site and Taxonomy hierarchies are not available.

2.43.3 Models

The three stories are using the following Data Warehouse Cloud models. They are all based on a live connection to the SAP Data Warehouse Cloud system. Setup the connection with the name "SAPDWC" if not already available.
Please navigate to the SAP Data Warehouse Cloud content documentation for details.

Business Name

Technical Model Name

Connection

SAP Ariba: Spend Analysis

SAP_PROC_SA_RL_SPEND_ANALYSIS SAPDWC

SAP Ariba: Spend Analysis Part Optimi SAP_PROC_SA_RL_PART_OPTIMIZATI SAPDWC zations

2.43.4 Known Issues

Issue

Solution

Number Formatting lost for Chart Type Re-assign the correct Number Format 2016.24.x -

Numeric Point for imported stories

ting in Styling

Broken Page Filters in Story "SAP Chemicals: Pipeline Health": Segment, Customer Region and Material Group in combination with table

Use a different chart

2016.24.x fix planned for 2016.25.x

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2.44 SAP Central Order 2.44.1 Architecture and Abstract

2.44.2 Order Insights (SAP__SD_CO_ORDERINSIGHTS_DAQ)

Measure Name Number of Orders

Type Aggregation

Formula/Properties
- Operation [COUNT] - Measure [Measure 1] by Aggregation Dimension [Dimension 1] - Conditional Aggregation [Yes/No]

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2.44.3 Models 2.44.3.1 Addresses (SAP__SD_CO_IM_ADDRESS)

SAP__SD_CO_IM_ADDRESS

Connection

- Model Description: The model con tains address related information from the Order, with separate rows per ad dress type, and excluding attributes, that would lead to revealing a connec tion to a person

- Connection Type: Import Data Connection to OData Services - Name of the Report : SAPSDCO

- Planning Enabled: no

Dimensions Name

Description

Mapping

ID

Generated Identifier

Import Data Connection to Data Serv

ices

SAPSDCO

addressType

Type of Address (SHIP_TO, BILL_TO)

Import Data Connection to Data Serv ices
SAPSDCO

postalCode

Postal Code

Import Data Connection to Data Serv ices
SAPSDCO

city

City

Import Data Connection to Data Serv

ices

SAPSDCO

country

Country

Import Data Connection to Data Serv ices
SAPSDCO

state

State

Import Data Connection to Data Serv ices
SAPSDCO

orderID

ID of the related Order

Import Data Connection to Data Serv ices
SAPSDCO

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2.44.3.2 Order Items (SAP__SD_CO_IM_ITEM)

Order Items: SAP__SD_CO_IM_ITEM Connection

- Model Description: The model repre sents the line items of an order.
- Planning Enabled: no

- Connection Type: Import Data Connection to OData Services - Name of the Report : SAPSDCO

Dimensions Name

Description

Mapping

ID

Generated Identifier

Import Data Connection to Data Serv

ices

SAPSDCO

productId

Identifier of the purchased product

Import Data Connection to Data Serv ices
SAPSDCO

priceType

Price Type

Import Data Connection to Data Serv ices
SAPSDCO

quantityUnit

Unit for the quantity, e.g. EA

Import Data Connection to Data Serv ices
SAPSDCO

lineNumber

Line number within the order

Import Data Connection to Data Serv ices
SAPSDCO

orderID

ID of the related Order

Import Data Connection to Data Serv ices
SAPSDCO

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2.44.3.3 Sales Order (SAP__SD_CO_IM_ORDER)

Order Items: SAP__SD_CO_IM_OR DER

Connection

- Model Description: The model repre sents the sales order information on header level.

- Connection Type: Import Data Connection to OData Services - Name of the Report : SAPSDCO

- Planning Enabled: no

Dimensions Name

Description

Mapping

ID marketId orderStatus orderNumber orderID createdAt modifiedAt pricingDate

Generated Identifier

Import Data Connection to Data Serv ices

SAPSDCO

Identifier of the market where the order Import Data Connection to Data Serv

was created

ices

SAPSDCO

Fulfillment status of the order

Import Data Connection to Data Serv ices

SAPSDCO

Consecutive number of the order

Import Data Connection to Data Serv ices

SAPSDCO

ID of the related Order

Import Data Connection to Data Serv ices

SAPSDCO

Creation date of the order

Import Data Connection to Data Serv ices

SAPSDCO

Last modification date of the order

Import Data Connection to Data Serv ices

SAPSDCO

Date when the prices were calculated

Import Data Connection to Data Serv ices

SAPSDCO

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2.44.3.4 Payment Data (SAP__SD_CO_IM_PAYMENTDATA)

Order Items: SAP__SD_CO_IM_PAY MENTDATA

Connection

- Model Description: The model repre sents the sales order information on header level.

- Connection Type: Import Data Connection to OData Services - Name of the Report : SAPSDCO

- Planning Enabled: no

Dimensions Name

Description

Mapping

ID paymentMethod orderID

Generated Identifier
Payment Method that was chosen by the ordering party
ID of the related Order

Import Data Connection to Data Serv ices SAPSDCO
Import Data Connection to Data Serv ices SAPSDCO
Import Data Connection to Data Serv ices SAPSDCO

2.44.3.5 Price Totals (SAP__SD_CO_IM_PRICETOTALS)

Order Items: SAP__SD_CO_IM_PRI CETOTALS

Connection

- Model Description: The model con tains information about the prices - Planning Enabled: no
Dimensions Name

- Connection Type: Import Data Connection to OData Services - Name of the Report : SAPSDCO

Description

Mapping

ID

Generated Identifier

Import Data Connection to Data Serv

ices

SAPSDCO

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Order Items: SAP__SD_CO_IM_PRI CETOTALS category
orderID
Period

Connection

The category of the price totals

Import Data Connection to Data Serv ices

SAPSDCO

ID of the related Order

Import Data Connection to Data Serv ices

SAPSDCO

The duration for which the charge is ap Import Data Connection to Data Serv

plied when the category is recurring, such as monthly.

ices

SAPSDCO

2.44.3.6 Tax Lines (SAP__SD_CO_IM_TAXLINES)

Order Items: SAP__SD_CO_IM_TAX LINES

Connection

- Model Description: The model con tains information about the taxes. - Planning Enabled: no
Dimensions Name

- Connection Type: Import Data Connection to OData Services - Name of the Report : SAPSDCO

Description

Mapping

ID code name priceTotalId

Generated Identifier The tax code The name of the tax ID of the related Price Total entry

Import Data Connection to Data Serv ices SAPSDCO
Import Data Connection to Data Serv ices SAPSDCO
Import Data Connection to Data Serv ices SAPSDCO
Import Data Connection to Data Serv ices SAPSDCO

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2.45 SAP Entitlement Management
2.45.1 Overview
SAP Entitlement Management (EMS) provides a central entitlement repository with which you can manage and track the entire lifecycle of the entitlements including entitlement generation, operation, and consumption. EMS application is running on SAP Cloud Platform (SCP). The content package is built upon SAP Analytics Cloud (SAC), which is a powerful data acquisition application. EMS Customers can integrate EMS and SAC based on the content and build their own stories or reports because SAC provide powerful function for visible analytics reports. This document helps you start the analytics journey in SAC that is specific to EMS line of business (LoB). We assume that the reader is familiar with SAP Analytics Cloud and this document does not substitute SAP Analytics Cloud documentation, which can be found here: Help Portal: SAP Analytics Cloud. What is the purpose of EMS content package? EMS provides 9 different templates in SAC content package story:  View entitlements per customer  View entitlements per customer per entitlement model  View entitlements expiring in a given period  View entitlements  View entitlements with different statuses  View entitlements per offering  View entitlements by business category  View entitlements by reference document  View audit trail for entitlements records They are the reference to customers. You can use them as your analytics report or you can develop your own reports based on these templates. EMS provide extensionality for SAC to read data from EMS application, you can create your tenant connection by specific tenant url without contact us.
2.45.2 Architecture and Abstract
EMS SAC content helps customers to build their own reports based on the templates of content story. EMS SAC content has only one story with 9 different view templates and one data model, which is based on HANA live data connection to EMS tenant.

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2.45.3 Stories
2.45.3.1 View Entitlements by the different dimensions (SAP_AUTO_EMS_VIEW_ENTITLEMENTS_LIVE)

Measure Name Number of Entitlements Number of Valid Entitlements
Quantity

Type Aggregation Aggregation
Aggregation

Formula/Properties
 Operation COUNT  Conditional Aggregation No
 Operation COUNT  Conditional Aggregation Yes
(within validation period)
 Operation SUM  Measure Quantity by Aggregation  Conditional Aggregation No

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Measure Name Valid Entitlement Quantity

Type Aggregation

Consumed Quantity

Aggregation

Remaining Quantity

Aggregation

Formula/Properties
 Operation SUM  Measure Quantity by Aggregation  Conditional Aggregation Yes
(within validation period)
 Operation SUM  Measure Quantity by Aggregation  Conditional Aggregation Yes (con
sumption records)
 Operation SUM  Measure Quantity by Aggregation  Conditional Aggregation Yes  [Valid Period Quantity] - [Con
sumed Quantity]

2.45.4 Models
2.45.4.1 Entitlements full data (SAP_AUTO_EMS_LH_ENTITLEMENTS)

Model Name: SAP_AUTO_EMS_LH_ENTITLEMENTS Model Description: SAP Entitlement Management: Entitlements full data

Planning Enabled: yes

Connection:
 Live Data - SAP HANA  SAPEMS

Dimensions Name ParentEntitlementNo

Description Parent Entitlement No

Mapping

EntitlementNo

Entitlement No

EntitlementModelCode

Entitlement Model Code

EntitlementModelName

Entitlement Model Name

EntitlementTypeCode

Entitlement Type Code

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Name EntitlementTypeName UoM ValidFrom ValidTo StatusCode StatusName CustomerID CustomerGroupCode CustomerName DistributorID
DistributorName ThirdPartyID ThirdPartyName SourceSystem CustomerSystem OfferingSystem LatestRefDocType LatestRefDocNo LatestRefItemNo OriginationDocType OriginationDocNo OriginationItemNo FolderCode FolderName TheRight BusinessCategory

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Description Entitlement Type Name UoM Valid From Valid To Status Code Status Name Customer ID Customer Group Customer Name Distributor ID Distributor Name Third Party ID Third Party Name Source System Customer System Offering System Latest Ref Doc Type Latest Ref Doc No Latest Ref Item No Origination Doc Type Origination Doc No Origination Item No Folder Code Folder Name The Right Business Category

Mapping
Content Package User Guide Line of Business

Name DistributionChannel

Description Distribution Channel

Mapping

GeoLocation

Geo Location

OfferingID

Offering ID

OfferingName

Offering Name

OfferingCategory

Offering Category

GenerationMethod

Generation Method

CreatedBy

Created By

CreatedByID

Created ByID

CreatedAt

Created At

LastChangedBy

Last Changed By

LastChangedByID

Last Changed ByID

LastChangedAt

Last Changed At

RefDocType

Ref Doc Type

Entitlement History Ref Doc Type

RefDocNo

Ref Doc No

Entitlement History Ref Doc No

RefItemNo

Ref Item No

Entitlement History Ref Item No

S_EX_1

S_EX_1

Entitlement Extension Attribute: String

S_EX_200

S_EX_200

T_EX_1

T_EX_1

Entitlement Extension Attribute: Date

T_EX_30

T_EX_30

B_EX_1

B_EX_1

Entitlement Extension Attribute: Boo lean

B_EX_30

B_EX_30

N_EX_1 N_EX_100

N_EX_1 N_EX_100

Entitlement Extension Attribute: Deci mal/Boolean

The Extension attributes with the technical names are hidden by default, if you want to use them to show in stories, you can enable specific ones by modifying description with the actual attribute name. The attribute name and technical name mapping can be queried by EMS attribute query API .

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2.45.5 Live Data Connectivity 2.45.5.1 SAP HANA
To connect your EMS tenant to this SAC story, use the existing connection with the name SAPEMS and configure it as described here. You can connect to EMS HANA Service in SAP Analytics Cloud application, based on the following connectivity types.
Configure Data Source
First, you need to go to Connection page and add new connection by + at the upper right corner.

Connecting to EMS HANA Service
 Use the connection name SAPEMS.  Select Connection Type Direct.  Provide your EMS tenant URL with this format (with /sac suffix). For example, https://
{tenant_id}.ems.cfapps.{region}.hana.ondemand.com/sac/.

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 Note
The HTTPS port is 443.  Select Authentication Method SAML Single Sign On and then it will use the IDP on SCP configurated to
authenticate. For more information, see Live Data Connection to SAP HANA Using a Direct Connection and SSO.
2.46 SAP Field Service Management (FSM)
2.46.1 Architecture and Abstract
The Field Service Performance Dashboard SAC content gives an overview of your most important Fields Service KPI's. It gives information on Service Calls and Activities as well as all the Time and Material Journals. The Field Service Capacity Overview SAC content gives an overview of available capacity compare to already planned Jobs.

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Architecture

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The colored objects are documented in this chapter.
The documentation for the greyed-out stories and models can be found in the respective Lines of Business (LoB) chapters.

2.46.2 Stories
2.46.2.1 General ­ Performance (SAP__FSM_GEN_PERFORMANCE_DAQ)

Measure Name Average Activity duration

Type Aggregation

Average Distance traveled

Aggregation

Average Number of Activities per Tech Calculated Measure nician

Average Number of Service Calls per Technician

Calculated Measure

Average Service Call Duration

Aggregation

Average TimeEffortDuration

Aggregation

Average Travel Duration

Aggregation

Business Partners

Aggregation

Customer Satisfaction

Calculated Measure

Formula/Properties
Operation [AVERAGE] Measure [Activity Duration] by Aggre gation Dimension [Activity Id] Conditional Aggregation [No]
Operation [AVERAGE] Measure [Distance traveled] by Aggre gation Dimension [Mileage Id] [Number of Activities] / [Number of Ac tivity-Technicians] [Number of Service Calls] / [Number of Technicians]
Operation [AVERAGE excl. 0, NULL] Measure [Service Call duration] by Ag gregation Dimension [Service Call Code]
Operation [AVERAGE] Measure [Time Effort Duration] by Ag gregation Dimension [Time Effort Id]
Operation [AVERAGE] Measure [Travele Duration] by Aggrega tion Dimension [Mileage Id]
Operation [COUNT DIMENSION] Aggregation Dimension [Business Part ner Code] [Thumbs Up] / [Number of Ratings]

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Measure Name Equipments

Type Aggregations

FirstTimeFixRate Number of Business Partners

Calculated Measure Aggregation

Number of Equipments

Aggregation

Number of Technicians

Aggregation

Formula/Properties
- Operation [COUNT DIMENSION] - Aggregation Dimension [Equipment Code] 1- ([Followup] / [Closed])
Operation [COUNT DIMENSION] Aggregation Dimension [SAP FieldSer vice: General - BusinessPartners]
Operation [COUNT DIMENSION] Aggregation Dimension [SAP FieldSer vice: General - Equipments]
Operation [COUNT DIMENSION] Aggregation Dimension [User Name]

2.46.2.2 General ­ Capacity Overview (SAP__FSM_GEN_CAPACITY_DAQ)

Measure Name Backlog Assignments

Type Restricted Measure

Internal Assignments

Restricted Measure

External Assignments

Restricted Measure

Total Assignments Number of assigned Technicians

Calculated Measure Aggregation

Formula/Properties
Measure [Activity Duration] Dimensions [External Resource] Values [no Value]
Measure [Activity Duration] Dimensions [External Resource] Values [false]
Measure [Activity Duration] Dimensions [External Resource] Values [true] ["SAP__FSM_GEN_IM_ACTIVITIES":Du ration] Operation [COUNT DIMENSIONS] Aggregation Dimension [Persons ID]

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Measure Name Number of Available Technicians

Type Aggregation

Number of Backlog Service Calls

Calculated Measure

External Capacity

Calculated Measure

Internal Capacity Total Capacity

Calculated Measure

External Workload Internal Workload Total Workload Number of External Activities

Calculated Measure Calculated Measure Calculated Measure Restricted Measure

Number of Internal Activities

Restricted Measure

Number of Backlog Activities

Restricted Measure

Technician with Absences

Aggregation

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Formula/Properties
Operation [COUNT DIMENSIONS]
Aggregation Dimension [User Name]
[Number of Service Call]
Filter on External Resource [no Value]
["SAP__FSM_GEN_IN_WORKTIMEPAT TERNS":ExternalCapacity] ["SAP__FSM_GEN_IM_WORK TIMES":ExternalWorktime] ["SAP__FSM_GEN_IM_RESERVA TIONS":externalReservation]
Operation [COUNT DIMENSION]
Aggregation Dimension [Business Part ner Code]
["SAP__FSM_GEN_IN_WORKTIMEPAT TERNS":Capacity] ["SAP__FSM_GEN_IM_WORK TIMES":Duration] ["SAP__FSM_GEN_IM_RESERVA TIONS":Reservations] [#External Assignments] / [#External Capacity] [#Internal Assignments] / [#Internal Capacity] [#Total Assignments] / [#Total Ca pacity]
Measure [Number of Activities]
Dimensions [External Resource]
Values [true]
Measure [Number of Activities]
Dimensions [External Resource]
Values [false]
Measure [Number of Activities]
Dimensions [External Resource]
Values [no Value]
Operation [COUNT DIMENSIONS]
Aggregation Dimension [User Name]

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Measure Name Total Absences

Type Calculate Measure

Technician with Reservations

Average Exclusive Reserervations per Technician

Calculated Measure

Average Absences per Technician

Calculate Measure

Formula/Properties
["SAP__FSM_GEN_IM_WORK TIMES":Duration] + ["SAP__FSM_GEN_IM_RESERVA TIONS":Reservations]
Operation [COUNT DIMENSIONS]
Aggregation Dimension [User Name]
["SAP__FSM_GEN_IM_RESERVA TIONS":Reservations] / [#Technician with Reservations]
[SAP__FSM_GEN_IM_WORKTIMES:Ab sence] / [#Technicians with Absences]

2.46.3 Models
2.46.3.1 General ­ Activities (SAP__FSM_GEN_IM_ACTIVITIES)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General - Activities  Planning Enabled: No

Account ID Activities Activity_InDispatching

Description Number of Activities Activities in Dispatching

Activity_InExecution

Activities in Execution

Activity_InPlanning

Activities in Planning

Closed

Closed Activities

CreateDateTime_TS Duration

Activity CreateDateTime TimeStamp Activity Duration

Duration_SC

Service Call Duration

EndDateTime_TS

Activity EndDateTime TimeStamp

Connection
Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F: 1 F: IF ([executionStage] = " DISPATCH ING", 1, 0) F: IF (([executionStage]= " EXECU TION", 1, 0) F: IF (([executionStage]= " PLANNING", 1, 0) IF([status] = "CLOSED" and [previou sActivity]="#",1,0) M: [createDateTime/ts] F: ([endDateTime/ts] - [startDateTime/ ts]) / 3600 F: IF([object]="SERVICECALL", [Dura tion], 0 ) M: [endDateTime/ts]

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Model Name: Technical Name of Model

Connection

Followup

Followup Activities

F: IF([previousActivity]="#" ,0 ,1 )

StartDateTime_TS

Activity StartDateTime TimeStamp

M: [startDateTime/ts]

Dimensions

Name

Description

Mapping

Time*

Time

CreateDateTime/date

Account*

Account

Id

Activity Id

id

Status

Activity Status

status

Object

Object

object

PreviousActivity

Previous Activity

previousActivity

SAP_FSM_GEN_ADDRESS

SAP FieldService: General Addresses address

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business businessPartners Partners

SAP_FSM_GEN_EQUIPMENT

SAP FieldService: General ­ Equip ments

equipments

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons responsibles

Additional Notes about the model

Provide additional information about the model if needed

* Private dimension, other dimensions are public

2.46.3.2 General ­ Checkouts (SAP__FSM_GEN_IM_CHECKOUTS)

Model Name: Technical Name of Model

Connection

 Model Description: SAP FieldService: General ­ Checkouts  Planning Enabled: No

Import Data Connection to OData Serv ices: SAPFSM

Account ID Checkouts CreateDateTime_TS Dimensions Name Time* Account*

Description

Mapping(M)/Formula(F)

Number of Checkouts

F: 1

Checkout CreateDateTime TimeStamp M: createDateTime/ts

Description Time Account

Mapping CreateDateTime/date

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Model Name: Technical Name of Model

Connection

Activity

Activity

activities

Id

Id

id

Additional Notes about the model Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public

2.46.3.3 General ­ Expenses (SAP__FSM_GEN_IM_EXPENSES)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General - Expenses  Planning Enabled: No

Account ID ChargeableExpenses

Description Chargeable Expenses

Expenses ExternalAmount InternalAmount NoChargeOption

Number of Expenses Undefined Charge Option

NonChargeableExpenses

Non Chargeable Expenses

Dimensions Name Time* Account* Activity ChargeOption ExternalCurrency Id InternalCurrency ServiceCall

Description Time Account Linked Activity Expense Charge Option Expense External Currency Id Expense Internal Currency Service Call linked via Acitivity

Connection
Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F: IF ([chargeOption]="CHARGEABLE", 1, 0) F: 1 M: [externalAmount/amount] M: [internalAmount/amount] F: [Expenses] - [ChargeableExpenses] [NonChargeableExpenses] F: IF ([chargeOption]="NONCHARGEA BLE", 1, 0)
Mapping CreateDateTime/date
Activity/id chargeOption externalAmount/currency id internalAmount/currency Activity/object/objectId

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Model Name: Technical Name of Model

Connection

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business Activity/businessPartners Partners

SAP_FSM_GEN_EQUIPMENT

SAP FieldService: General ­ Equip ments

Activity/equipment

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons createPerson

SAP_FSM_GEN_EXPENSETYPE

SAP FieldService: General ­ Expense types

type

Additional Notes about the model

Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public.

2.46.3.4 General ­ Materials (SAP__FSM_GEN_IM_MATERIALS)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General - Materials  Planning Enabled: No

Account ID ChargeableMaterial

Description Chargeable Material

Material NoChargeOption

Number of Material Undefined Charge Option

NonChargeableMaterial

Non Chargeable Material

Price Quantity TotalPrice Dimensions Name Time* Account*

Material Price Material Quantity Total Material Price
Description Time Account

Connection
Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F: IF ([chargeOption]="CHARGEABLE", 1, 0) F: 1 F: [Expenses] - [ChargeableMaterial] [NonChargeableMaterial] F: IF ([chargeOption]="NONCHARGEA BLE", 1, 0) M: [unitPrice/amount] M: [quantity] F: [Price] * [quantity]
Mapping CreateDateTime/date

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Model Name: Technical Name of Model

Connection

Activity

Linked Activity

Activity/id

ChargeOption

Expense Charge Option

chargeOption

ExternalCurrency

Expense External Currency

externalAmount/currency

Id

Id

id

InternalCurrency

Expense Internal Currency

internalAmount/currency

ServiceCall

Service Call linked via Acitivity

Activity/object/objectId

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business Activity/businessPartners Partners

SAP_FSM_GEN_EQUIPMENT

SAP FieldService: General ­ Equip ments

Activity/equipment

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons createPerson

Additional Notes about the model

Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public.

2.46.3.5 General ­ Mileages (SAP__FSM_GEN_IM_MILEAGES)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General ­ Mileages  Planning Enabled: No

Account ID ChargeableMileages

Description Chargeable Mileages

Distance Duration

Distance traveled Travel Duration

Mileages NoChargeOption

Number of Mileages Undefined Charge Option

NonChargeableMileages

Non Chargeable Mileages

Connection
Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F: IF ([chargeOption]="CHARGEABLE", 1, 0) M: distance F: ([travelEndDateTime/ts] - [travel StartDateTime/ts]) / 3600 F: 1 F: [Expenses] - [ChargeableMileage] [NonChargeableMileage] F: IF ([chargeOption]="NONCHARGEA BLE", 1, 0)

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Model Name: Technical Name of Model

Connection

PrivateCarDistance

Distance traveled with a Private Car

F: IF ([privateCar] = TRUE,[Distance], 0)

PrivateCarMileages

Mileages with Private Car

F: IF ([privateCar] = TRUE, 1, 0)

Dimensions

Name

Description

Mapping

Time*

Time

CreateDateTime/date

Account*

Account

Activity

Linked Activity

Activity/id

ChargeOption

Expense Charge Option

chargeOption

Id

Id

id

PrivateCar

Was a private car used

privateCar

ServiceCall

Service Call linked via Acitivity

Activity/object/objectId

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business Activity/businessPartners Partners

SAP_FSM_GEN_EQUIPMENT

SAP FieldService: General ­ Equip ments

Activity/equipment

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons createPerson

Additional Notes about the Model

Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public.

2.46.3.6 General ­ Reservations (SAP__FSM_GEN_IM_RESERVATIONS)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General ­ Reservation  Planning Enabled: No

Account ID Duration

Description Duration

ExternalReservation

External Reservation

Connection
Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) ([endDateTime/ts] - [startDateTime/ ts]) / 3600 F: IF([Person/externalResource] = "true", [Reservations], 0)

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Model Name: Technical Name of Model

Connection

InernalReservation

Inernal Reservation

F: IF([Person/externalResource] = "false", [Reservations] ,0)

Reservations

Reservation

IF([Duration] > 8, 8, [Duration])

Dimensions

Name

Description

Mapping

Time*

Time

StartDateTime/date

Account*

Work Time Pattern

name

Id

Id

Id

Eclusive

Exclusive

exclusive

External

External

external

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons createPerson

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business businessPartner Partner

Additional Notes about the model

Provide additional information about the model if needed.

 Note
* Private dimension, other dimensions are public.

2.46.3.7 SAP FieldService: General ­ Requirement (SAP__FSM_GEN_IM_REQUIREMENT)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General ­ Requirement  Planning Enabled: No

Account ID Count Dimensions Name Time* Account* Activity*

Description Number of Skills
Description Time Account Linked Activity

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Connection Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F:1
Mapping Default Date 202001
Activity/id
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Model Name: Technical Name of Model

Id

Id

SAP_FSM_GEN_SKILL

SAP FieldService: General ­ Skills

Additional Notes about the model

Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public.

Connection id tag

2.46.3.8 General ­ ObjectRating (SAP__FSM_GEN_IM_OBJECTRATING)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General - ObjectRating  Planning Enabled: No

Account

ID

Description

Bad

Thumbs Down

Good

Thumbs Up

Rating

Rating value

Ratings

Number of Ratings

Dimensions

Name

Description

Time*

Time

Account*

Account

Checklout

Link to Checkout

Id

Id

Additional Notes about the model

Provide additional information about the model if needed

Connection Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F: IF ([Rating]>=2, 1, 0) F: IF ([Rating]<=1, 1, 0) M: [rating] F: 1
Mapping CreateDateTime/date
Object/objectId id

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2.46.3.9 General ­ ServiceAssignment (SAP__FSM_GEN_IM_SERVICEASSIGNMENT)

Model Name: Technical Name of Model

Connection

 Model Description: SAP FieldService: General ­ ServiceAssignment  Planning Enabled: No

Import Data Connection to OData Serv ices: SAPFSM

Account ID CreateDateTime_TS
ReleasedDateTime_TS
Dimensions Name Time* Account* Activity* Id ReleasedDateTime*

Description
Assignment Create DateTime Time Stamp
AssignmentReleased DateTime Time Stamp

Mapping(M)/Formula(F) M: [createDateTime/ts]
M: [releaseDateTime/ts]

Description Time Account Linked Activity Id Assignment Released DateTime

Mapping CreateDateTime/date
Activity/id id releasedDateTime/date

ServiceCall*

Service Call linked via Activity

Additional Notes about the model

Provide additional information about the model if needed

Activity/object/objectId

 Note
* Private dimension, other dimensions are public public.

2.46.3.10 General ­ ServiceCalls (SAP__FSM_GEN_IM_SERVICECALLS)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General ­ ServiceCalls  Planning Enabled: No

Account ID

Description

Connection Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F)

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Model Name: Technical Name of Model

Connection

CreateDateTime_TS

Service Call CreateDateTime Time Stamp

M: [createDateTime/ts]

Duration

Service Call Duration

F: IF((([endDateTime/ts]-[startDate Time/ts]) / 3600) < 0, 0, ([endDate Time/ts] - [startDateTime/ts]) / 3600)

EndDateTime_TS

Service Call EndDateTime TimeStamp M: [endDateTime/ts]

ServiceCalls

Number of Service Calls

F: 1

StartDateTime_TS

Service Call StartDateTime TimeStamp M: [startDateTime/ts]

Dimensions

Name

Description

Mapping

Time*

Time

CreateDateTime/date

Account*

Account

Code

Service Call code

Code

Id

Id

id

Priority

Service Call Priority

priority

ProblemType

Service Call Problem Type

problemTypeCode

SCType

Service Call Type

type

Status

Service Call status

statusCode

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business businessPartners Partners

SAP_FSM_GEN_EQUIPMENT

SAP FieldService: General ­ Equip ments

equipments

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons responsibles

Additional Notes about the model

Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public.

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2.46.3.11 SAP FieldService: General ­ Skills (SAP__FSM_GEN_IM_Skills)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General ­ Skills  Planning Enabled: No

Account

ID

Description

Count

Number of Skills

Dimensions

Name

Description

Time*

Time

Account*

Account

Code

Service Call code

Id

Id

SAP_FSM_GEN_SKILL

SAP FieldService: General ­ Skills

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons

Additional Notes about the model

Provide additional information about the model if needed

Connection Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F:1
Mapping Default Date 202001
Code id tag person

 Note
* Private dimension, other dimensions are public.

2.46.3.12 General ­ TimeEfforts (SAP__FSM_GEN_IM_TIMEEFFORTS)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General ­ TimeEfforts  Planning Enabled: No

Account ID ChargeableEfforts

Description Chargeable Efforts

Connection Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) F: IF ([chargeOption]="CHARGEABLE", 1, 0)

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Model Name: Technical Name of Model

Connection

Duration

Travel Duration

F: ([travelEndDateTime/ts] - [travel StartDateTime/ts]) / 3600

NoChargeOption

Undefined Charge Option

F: [Expenses] - [ChargeableExpenses] [NonChargeableExpenses]

NonChargeableEfforts

Non Chargeable Time Efforts

F: IF ([chargeOption]="NONCHARGEA BLE", 1, 0)

TimeEfforts

Number of Time Efforts

F: 1

Dimensions

Name

Description

Mapping

Time*

Time

CreateDateTime/date

Account*

Account

Activity

Linked Activity

Activity/id

ChargeOption

Expense Charge Option

chargeOption

Id

Id

id

ServiceCall

Service Call linked via Acitivity

Activity/object/objectId

SAP_FSM_GEN_BUSINESSPARTNER

SAP FieldService: General ­ Business Activity/businessPartners Partners

SAP_FSM_GEN_EQUIPMENT

SAP FieldService: General ­ Equip ments

Activity/equipment

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons createPerson

SAP_FSM_GEN_TIMETASK

SAP FieldService: General ­ TimeTasks task

Additional Notes about the Model

Provide additional information about the model if needed

 Note
* Private dimension, other dimensions are public.

2.46.3.13 General ­ WorkTimePatterns (SAP__FSM_GEN_IM_WORKTIMEPATTERNS)

Model Name: Technical Name of Model

Model Description: SAP FieldService: General ­ WorkTimePatterns

Planning Enabled: No

Account ID

Description

Connection Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F)

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Model Name: Technical Name of Model

Capacity

Overall Capacity

ExternalCapacity

ExternalCapacity

InernalCapacity

InernalCapacity

Dimensions

Name

Description

Time*

Time

Account*

Work Time Pattern

WorkTimePattern

Linked Activity

From

Work Time Pattern Start Time

To

Work Time Pattern End Time

external

external

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons

Additional Notes about the model

Provide additional information about the model if needed.

Connection ([endDateTime/ts] - [startDateTime/ ts]) / 3600 F: IF([Person/externalResource]= "true" , [Capacity] ,0 ) F: IF([Person/externalResource]= "false" , [Capacity] ,0 )
Mapping StartDateTime/date name Activity/id startDateTime/date endDateTime/date Person/externalResource createPerson

 Note
* Private dimension, other dimensions are public.

2.46.3.14 General ­ WorkTime (SAP__FSM_GEN_IM_WORKTIME)

Model Name: Technical Name of Model

 Model Description: SAP FieldService: General - Worktimes  Planning Enabled: no

Account ID Duration

Description Duration

Reservation Duration ExternalWorktime

Duration External Worktime

Connection
Import Data Connection to OData Serv ices: SAPFSM
Mapping(M)/Formula(F) ([endDateTime/ts] - [startDateTime/ ts]) / 3600 F: IF([Duration] > 8, 8, [Duration]) F: IF([Person/externalResource] = "true", [ReservationDuration], 0)

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Model Name: Technical Name of Model

InernalWorktime

Inernal Worktime

Dimensions

Name

Description

Time*

Time

Account*

Work Time Pattern

Id

Id

Task

Task

SAP_FSM_GEN_PERSON

SAP FieldService: General ­ Persons

Additional Notes about the model

Provide additional information about the model if needed

Connection F: IF([Person/externalResource] = "false",ReservationDuration] ,0)
Mapping StartDateTime/date name Id Task createPerson

 Note
* Private dimension, other dimensions are public.

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2.46.4 OData Service
To connect your FSM solution to this SAC story the SAPFSM connection must be set up correctly:

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 Data Service URL: https://[cluster].coresystems.net/analytics-odata/[account]/[company]/api/v2  OAuth Client ID: your Client ID  Secret: your secret  Token URL: https://[cluster].coresuite.com/api/oauth2/v1/token
[cluster]: eu, de, us or cn (depending on your setup) [account]: your account [company]: your company
2.47 SAP Healthcare Enterprise Capacity Planning
2.47.1 Architecture and Abstract
Healthcare providers are faced with a growing need tobetter understand and managecritical care capacity for their entire enterprise. Understanding patient volumes from a historical perspective is valuable,but knowing what's happening today, and ultimately planning for tomorrow,is mission critical when managing an uncertain healthcare demand, especially during a pandemic.This pre-built content enables decision-makers at hospitals and health systems of all sizes topredict andmanage surges, in the emergency department and throughout their facilities. These decision-makers need the ability to accurately estimatecritical carestaffing requirements and predict equipmentand supplyneeds based on operational data currently buried in multiple disparate systems.

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2.47.2 Stories
SAP Healthcare - Capacity Planning and Staffing (SAP_HC_CP_CAPACITY_AND_STAFFING) In this story, we provide a view into important hospital metrics, broken down by department and service line. The Overview tab gives insights into census, admissions, transfers, and discharges, both for the current day, and over a monthly time series. The ED Arrivals tab is a deep dive on the Emergency Department, highlighting key metrics such as average wait time, turnaround discharge time, and average length of stay. The ED tab breaks down metrics for the Emergency Department by service line and by diagnosis, enabling detailed breakdowns by hour of the day and by shift. Hospital Inpatient compares ICU and Non-ICU metrics and a view of occupancy over time. The Staffing tab is focused on nurses, and compares the actual nurses staffed to the anticipated needs based on historical data.
2.47.2.1 SAP Healthcare - Capacity Planning and Staffing (SAP_HC_CP_CAPACITY_AND_STAFFING)

Measure Name ICU Non-ICU

Type Restricted Measure
Restricted Measure

Formula/Properties
Measure [Occupancy] restricted by [Department] on [Cardiology]
Measure [Occupancy] restricted by [Department] on [Anesthesiology, En docrinology, Family medicine, Internal Medicine, Neonatology, Neurology, Ob stetrics and Gynecology, Surgery] Measure [Occupancy] restricted by [Department] on [Anesthesiology, En docrinology, Family medicine, Internal Medicine, Neonatology, Neurology, Ob stetrics and Gynecology, Surgery]

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2.47.3 Models
2.47.3.1 SAP Healthcare Enterprise Capacity Planning Census and Staffing (SAP_HC_CP_CENSUS_STAFFING)

Model Name: SAP_HC_CP_CENSUS_STAFFING

Connection

- Model Description: SAP Healthcare Enterprise Capacity Planning - Census and Staffing

- Import Data Connection to an SQL Da tabase

- Planning Enabled: no

Account Census ID

Description

Mapping/Formula

ADM1 BED1 BED1_INT DIS1 MAX1 MAX_INT
NUR1
OCC_PCT OCC1
TRAN1
Dimensions Name CensusDate AccountCensus Department Service CensusDayOfWeek
CensusHour Additional Notes about the model

Admissions Beds Available Beds Available (Interim) Discharges Max Occupancy Max Occupancy (Interim) Nurses Staffed Occupancy % Occupancy Transfers
Description Census Date AccountCensus Department Service Census (Day of Week) Census (Hour)

From data load [BED1_INT] [MAX1]-[OCC1] From data load [MAX_INT] [d/Department].[p/DeptMaxOcc] From data load IF([MAX1]=0 ,0 ,[OCC1]/[MAX1] )
From data load From data load
Mapping

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Name

Description

Mapping

This model provides day and hour level granularity for the hospital census and staffed nurses, with planned and actual val ues
Model uses Max Occupancy property of Department dimension in calculations. This value must be populated when loading master data from source. A hidden, interim account is utilized to apply exception aggregation to the Beds Available meas ure, in order to accurately represent values by day and by hour.
Sample data is provided to illustrate required granularity and structure of dimension master data. Models are to be popu lated from customerspecific data sources.

2.47.3.2 SAP Healthcare Enterprise Capacity Planning Service Times (SAP_HC_CP_SERVICE_TIMES)

Model Name: SAP_HC_CP_SERVICE_TIMES

Connection

Model Description: SAP Healthcare Enterprise Capacity Planning - Service Times - Planning Enabled: no

- Import Data Connection to an SQL Da tabase

Account Census ID AST1

Description Arrival to Service Time

Mapping/Formula From data load

DIAG1

Diagnoses

From data load

LOS1

Length of Stay

From data load

PAT1

Patients

From data load

TDT1

Turnaround Time

From data load

WT1

Wait Time

From data load

Dimensions Name AdmissionDate AccountServiceTimes Department Service
DRG
PrimaryDiagnosis

Description Census Date AccountCensus Department Service DRG
Primary Diagnosis

Mapping

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Name

Description

Mapping

BoarderFlag Additional Notes about the model

Boarder Flag

This model provides day level granularity for hospital service times such as wait time, length of stay, and turnaround dis charge time. It also provides aggregated patient and diagnoses counts.
Model uses Average exception aggregation for all times across Department, Service, AdmissionDate, DRG, and Primary Diagnosis.
Sample data is provided to illustrate required granularity and structure of dimension master data. Models are to be popu lated from customerspecific data sources.

2.48 SAP Intelligent Asset Management
2.48.1 Architecture and Abstract
SAP Intelligent Asset Management (IAM) SAP Analytics Cloud (SAC) content provides:
 Seven models, one for each of the OData APIs which you can use in IAM to extract data to SAC. These are:  Equipment  Indicator Values (the last one)  Models  Notifications  Work Orders  Locations  Spare parts
 Two sample stories, mostly based on the first five of the seven models above.  A sample connection.  Sample data for each model.
One of the stories (...Fleet) is intended to be shown in the IAM Analytics Dashboards application. The other story (...Equipment) is intended to be shown on the IAM equipment object page. There are no sample stories for the other three IAM applications where SAC can be displayed, Models, Locations, Spare Parts.
Due to the limited nature of the data being exposed in the OData APIs these SAC stories are supposed to just illustrate what the data could look like in SAC stories in IAM. They are supposed to highlight some SAC functions like story tabs, page filters, and dimension selectors. They are not supposed to be stories delivering fullyfledged business insights based on common work practices.

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2.48.2 IAM Configuration for SAC (and SAC Connection)
2.48.2.1 SAC Connection
The configuration for the SAC connection is documented in the IAM help pages, e.g. for PdMS here (select the latest release). The included sample connection has the Data Service URL provided, but each customer must add their specific other credentials.

2.48.2.2 IAM Configuration

The configuration of SAC in IAM is described in the IAM help pages, e.g. for PdMS here (select the latest release).

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2.48.3 Stories
These stories are included:  Fleet View (SAP__IAM_GEN_FLEET)  Equipment Object Page (SAP__IAM_GEN_EQUIPMENT)

2.48.3.1 Fleet View (SAP_IAM_GEN_FLEET)
This story is intended to show in the IAM Analytics Dashboards application. It has six pages:  Count and Breakdowns  Map  Indicators  Health Scores  Tables  Notification History
Counts and Breakdowns shows six key indicators on the left, which are all counts of the corresponding six business object types, from the six models. Above the key indicators is a page filter for equipment IDs. To the right of key figures are bar charts, one for each business object type. They show the count of business objects by a dimension. The dimension can be selected in the control above each chart.
Map shows the geospatial location of the equipment on a map.
Indicators and Health Scores show the last indicator values for equipment. The first tab shows all indicators, and they can be filtered by equipment and indicator IDs. The second tab show just an indicator called Health Score, and adds a threshold to show good and bad values.
The other two pages are merely for illustrative purposes, to show that SAC offers the ability to show tables and charts for timelines.

2.48.3.2 Equipment Object Page (SAP_IAM_GEN_EQUIPMENT)

This story is intended to show in the PAI Equipment application on its object page. It has one pages:
 Notification / Work Order Breakdown
Notification / Work Order Breakdown shows a count of notifications and work orders, shown as a key figure, in a chart by type and status, and in another bar chart where the user can select the dimension by which to break down the count.
All charts are just for illustrative purposes, to show what data could look like in the equipment object page.

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2.48.4 Models

Context

There are seven models provided, one for each of the available OData APIs in IAM.

Model Name Equipment Indicator Values Models Locations Spare Parts Notifications Work Orders

Technical Name of Model SAP__IAM_GEN_IM_EQUIPMENT SAP__IAM_GEN_IM_INDICATOR SAP__IAM_GEN_IM_MODELS SAP__IAM_GEN_IM_LOCATIONS SAP__IAM_GEN_IM_SPAREPARTS SAP__IAM_GEN_IM_NOTIFICATIONS SAP__IAM_GEN_IM_WORORDERS

For each of the models all attributes available in the OData API were included. Apart from the indicator values the attributes are all dimensions, there are no measures. Note that SAC adds a measure on its own for models without measures. The available attributes are pretty self-explanatory when you call the IAM OData API in SAC. They are not separately listed here. How to see the available attributes:

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Procedure

1. Launch function to import data via OData. 2. Select the appropriate connection to your source system.

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3. Select the OData service for the desired business object type. 4. You can see a list of all attributes.

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 Note
 In the provided models also better human-readable versions of the technical attribute names were provided.
 In the equipment model the source attribute for "Coordinates" has been split into a latitude and a longitude attribute, and the model has been geo-enabled.
 In the indicator value model, the source attribute for "Value" has been split into a value attribute for numeric values (which is then made the measure), and another for non-numeric values (boolean, text, date).
2.49 SAP Integrated Business Planning (IBP)
2.49.1 Architecture and Abstract
Integrated Business Planning SAC content provides information relevant to the management business review process which is part of the Sales and Operations Planning process. During management business review, the executive management of the business units involved determine if the proposal presented aligns with the company's financial targets and key performance indicators. This results in an approved final consensus demand and supply plan ultimately designed to drive the revenue growth and increase market share, optimize product, customer profitability, minimize inventory costs, and overcome capacity constraints. SAP Integrated Business Planning SAP Analytics Cloud content comprises of one dashboard, one story, and one data model. The data model receives its data from an OData service from an SAP IBP system. Alternatively, you can upload the master data from flat files.

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Architecture

2.49.2 Dashboard
The SAP Integrated Business Planning: Sales and Operation Planning - Management Business Review (SAP_IBP_ MANAGEMENTBUSINESSREVIEW_DASHBOARD) dashboard contains the Executive Summary, the Overview of Revenues, and the Overview of Quantities from the SAP Integrated Business Planning: Sales and Operation Planning - Management Business Review (SAP__IBP_SOP_MANAGEMENTBUSINESSREVIEW) story.

2.49.3 Stories
SAP Integrated Business Planning: Sales and Operation Planning - Management Business Review (SAP__IBP_SOP_MANAGEMENTBUSINESSREVIEW). The story consists of three pages:  Executive Summary  Overview of Revenues  Overview of Quantities

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Executive Summary
This story page consists of two charts and two numeric points. It focuses on providing a high-level overview of the financial targets. This data can be filtered by product families.
Actual Revenues: A numeric point used to compare the revenues of the current year with the revenues of the previous year.
Gross Profit: A numeric point used to compare the gross profit of the current year with the gross profit of the previous year.
Actual Revenues per Year: This time-series chart shows how actual revenues have trended over time. It covers a period of four years (current year, + 2 years in the past, and 1 year in the future). The forecast is automatically calculated based on linear regression.
Identify the association between Actuals Rev. and Consensus Demand Rev. by Quarter This time-series chart shows the trend of actual revenues and consensus demand revenues by quarters for a period of two years.

Overview of Revenues
This story page consists of three charts, five numeric points, and a table. It provides a detailed overview of the revenues. This data can be filtered by product families.
Compare Actual Revenues (Current year) and Actual Revenues (Previous year) per Customer Groups: For each customer group, this bar chart compares the revenues of the current year with the revenues of the previous year. Additionally, five numeric points are used to show this comparison (in percent).
Compare the Actuals Rev. by Product Family and Location: This tree map analyses the actual revenues by product families and locations. A smart insight shows the top contributor and the related percentage above or below the average.
Actual Revenues - Current Year: A detailed table shows the revenues of the current year by quarter/month and product ID.
Analyse Actual Revenues / Gross Profit (Current year) per Product ID (Top 5): This bar chart shows the contribution of the top 5 product IDs to the revenues and gross profit of the current year. A smart insight shows the top contributor and the related percentage above or below the average.

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Overview of Quantities
This story page consists of three charts and a table. It provides a detailed overview of the quantities. This data can be filtered by product families.
Analyse how Actuals Qty is trending over time: This time-series chart shows how actual quantities have trended over time. It covers a period of five years (current year, + 3 years in the past, and 1 year in the future). The forecast is automatically calculated based on linear regression.
Analyse the Monthly Average Actuals Qty. per Product Family: This pie chart shows the monthly average actual quantity per product family. It covers a period of four years (current period and + 3 years in the past).
Actual Qty - Current Year: A detailed table shows the quantities of the current year by quarter/month and product ID.
Analyse Constrained Demand and Consensus Demand per Product Family: This chart compares the constrained demand and the consensus demand. Values are analysed by product families for a period of two years (current year and + 1 year in the future). A smart insight shows the top contributor and the related percentage above or below the average.

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2.49.4 Models
2.49.4.1 Sales and Operation Planning - Management Business Review (SAP__IBP_SOP_IM_MANAGEMENTBUSINESSREVI EW)

Model Name: SAP__IBP_SOP_IM_MANAGEMENTBUSINESSREVIEW

Connection

 Model Description: SAP Integrated Business Planning: Sales and Operation Planning - Management Business Review
 Planning Enabled: Yes

 Connection Type: Import Data Connection to SAP Integrated Business Planning
 You can find the OData service URL from the IBP system as follows:
 Communication Arrangement App à Inbound services
 The service is specified as:https:// %3CsystemID%3Eapi.wdf.sap.corp/sap/opu/ odata/IBP/EXTRACT_ODATA_SRV

Account Dimension: SAP_IBP_GEN_ACCOUNT

ID

Description

Properties

Actuals Qty

Actuals Qty

Account type: NFIN

Actuals Rev.

Actuals Rev.

Account type: INC

AOP Qty

AOP Qty

Account type: NFIN

AOP Rev.

AOP Rev.

Account type: INC

Capacity Supply

Capacity Supply

Account type: NFIN

Capacity Usage of Production Resource Capacity Usage of Production Resource Account type: NFIN

Consensus Demand Plan Qty

Consensus Demand Plan Qty

Account type: NFIN

Consensus Demand Plan Rev

Consensus Demand Plan Rev

Account type: INC

Constrained Demand Rev.

Constrained Demand Rev.

Account type: INC

Gross Profit

Gross Profit

Account type: INC

Marketing Fcst Qty

Marketing Fcst Qty

Account type: NFIN

Marketing Fcst Rev.

Marketing Fcst Rev.

Account type: INC

Open Orders Rev.

Open Orders Rev.

Account type: INC

Planned Price

Planned Price

Account type: INC

Aggregation type: None

Production Receipt

Production Receipt

Account type: NFIN

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Model Name: SAP__IBP_SOP_IM_MANAGEMENTBUSINESSREVIEW

Projected Stock

Projected Stock

Projected Stock Value

Projected Stock Value

Recommended Safety Stock

Recommended Safety Stock

Recommended Safety Stock Value

Recommended Safety Stock Value

Sales Fcst Qty

Sales Fcst Qty

Sales Fcst Rev.

Sales Fcst Rev.

Total Customer Receipt

Total Customer Receipt

Total Open Order Qty

Total Open Order Qty

Total Production Value

Total Production Value

Generic Dimensions

Name

Description

Date

Month

SAP_IBP_GEN_PRODUCT

Product

SAP_IBP_GEN_PRODFAM

Product Family

SAP_IBP_GEN_LOCATION

Location

SAP_IBP_GEN_CUSTOMER

Customer

SAP_IBP_GEN_UOM

Unit of Measure

SAP_IBP_GEN_CURRENCY

Currency

SAP_IBP_GEN_CUSTGROUP

Customer Group

Additional Notes on the Model

Connection Account type: NFIN Account type: INC Account type: NFIN Account type: INC Account type: NFIN Account type: INC Account type: NFIN Account type: NFIN Account type: INC
Properties
Enable Currency: YES

Transactional data and master data are loaded using the IBP OData service:

https://<systemID>-api.wdf.sap.corp/sap/opu/odata/IBP/EXTRACT_ODATA_SRV

Master data (SAP_IBP_GEN_xxx generic dimensions) can also be loaded from a flat file. You can use the master data files for the SAPIBP1 sample planning area that are part of the SAP Best Practices for SAP Integrated Business Planning content as a template:

https://rapid.sap.com/bp/#/rds_ibp planning view templates)

 Accelerators  Technical assets for SAPIBP1 (sample data, master data, and

2.49.4.2 Setting up the connection between SAP Analytics Cloud and SAP Integrated Business Planning
When you import the SAP Integrated Business Planning package into your system, the technical objects described in the previous chapters are imported. You also have predefined sample data that you can use for demo purposes.
If you want to update the predefined sample data with your own data, you must follow the steps described in this chapter.

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Prerequisite Before you start, ensure that the SAP Best Practices for SAP Integrated Business Planning content is available in the SAP IBP system. You must copy the SAPIBP1 sample planning area and upload the sample master data and key figure data available for the SAP IBP Best Practices . The pre-built content refers to the IBP sales and operations planning process and is based on a planning area in which SOP is up and running.
2.49.4.2.1 SAP Integrated Business Planning Configuration
To enable the integration with SAP Analytics Cloud, you must define the following in your SAP Integrated Business Planning system:  A communication user with a productive password,  A communication system where your communication user is defined as an Inbound user,  A communication arrangement based on communication scenario SAP_COM_0143. In the Inbound Services section, you will find the URL to access the OData services, for example: https://<systemID>-api.wdf.sap.corp/sap/opu/odata/IBP/EXTRACT_ODATA_SRV The planning area to be used in the SAC Queries is configured in the Global Configuration app  Parameter Group FLEXIQUERY  Parameter Name PLANNINGAREA.
2.49.4.2.2 SAP Analytics Cloud Configuration
Context
You must create an SAP Integrated Business Planning import connection in SAP Analytics Cloud:

Procedure
1. From the main menu, choose Connection  Add Connection (+). 2. In the Select a Datasource dialog box, choose SAP Integrated Business Planning. 3. In the New SAP Integrated Business Planning Connection dialog box, enter the connection information.
Make sure to use the data service URL specified in your communication arrangement. Enter your IBP communication user as the Username along with the corresponding productive password.
 Note
If you want to use the imported SAPIBP connection instead of creating a new one, make sure to update the SAPIBP connection with your own URL, IBP communication user and productive password.

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2.49.4.2.3 Loading Transactional Data from IBP OData Service
Context
Transactional data (SAP_IBP_GEN_ACCOUNT account dimension) is loaded using the IBP OData service. To use the model with your own data, you must create a new query related to your planning area.
 Note
The sample query we deliver refers to a planning area called UNIPA. If you have a non-productive SAP IBP system (test tenant), you will find the planning area UNIPA preconfigured in your system. For more information on the preconfigured planning area, refer to the WIKI page .
Procedure
1. Open the SAP__IBP_SOP_IM_MANAGEMENTBUSINESSREVIEW model. 2. On the Model detail screen, select the Data Management tab and choose Import data  Datasource.

3. Select the SAP Integrated Business Planning datasource.
4. In the Import Data from SAP Integrated Business Planning dialog box, choose your connection to the IBP System.
5. Select Create a new query and choose Next.
6. Select your planning area and choose Next.
7. In the Build SAP Integrated Business Planning Query dialog box, select the items listed below, and move them to the Selected Data section:
 The 24 key figures listed in the table above,  Time dimension as Month,  Version/Scenario,  Generic dimensions Product ID, Product Family, Location ID, Customer ID, and Customer Group/
Segment,  Base UoM and Target Currency.

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 Do not forget to include Target UoM and Target Currency in filters. Otherwise, you will get an error when the model is built. Define the filters as Target Currency = USD and Target UoM = EA; PC.

8. Once you have moved the 33 items in the Selected Data section and entered the two filters, choose Create.
9. After the content is uploaded, map the dimension set that is extracted from the OData service to the SAC dimensions.

10. You might be required to make some manual adjustments, for example:  Month: Define the date format as YY MM.
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Since there is no template for YY-MM in SAC, a workaround is required: select the Month column, choose Create a transform, and replace "-" with " " in the formula.  Version/Scenario: Map Base Version to the Planning category.
11. Once the issues are solved, select Convert value symbol by account type in the Mapping Options.

12. Choose Finish Mapping.

Results
The new query is created and the predefined content is updated with your own data.
2.49.4.2.4 Loading Master Data from IBP OData Service
Context
Master data (SAP_IBP_GEN_xxx generic dimensions) is loaded using the IBP OData service.

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Procedure
1. On the Dimension detail screen, select the Data Management tab and choose Import data  Datasource.
2. Select the SAP Integrated Business Planning datasource. 3. In the Import Data from SAP Integrated Business Planning dialog box, choose your connection to the IBP
system. 4. Select your planning area. 5. In the Build SAP Integrated Business Planning Query dialog box, select the relevant dimensions and move
them to the Selected Data section (for example: Product ID and Product Desc).

6. After the content is uploaded, map the dimension set that is extracted from the OData service to the SAC dimensions (for example: Dimension ID = Product ID and Description = Product Desc.). Then choose Finish

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Mapping.
7. Repeat the steps for all SAP_IBP_GEN_xxx generic dimensions.
 Note
A currency in SAC is always expected to have three structural fields: Dimension ID, Description, and Currency ID. Therefore, duplicate the column Currency ID with the drop-down function and assign the newly duplicated column to the Currency ID.

2.49.4.2.5 Loading Master Data from a flat file
Context
You can also load master data (SAP_IBP_GEN_xxx generic dimensions) from flat files.

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You can use the master data files for the SAPIBP1 sample planning area that are part of the SAP Best Practices for SAP Integrated Business Planning content as a template:
https://rapid.sap.com/bp/#/rds_ibp  Accelerators  Technical assets for SAPIBP1 (sample data, master data, and planning view templates).

Generic Dimension

Description

SAP_IBP_GEN_LOCATION Location

SAP_IBP_GEN_CUSTOMER Customer

SAP_IBP_GEN_UOM SAP_IBP_GEN_CURRENCY

Unit of Measure Currency

SAP_IBP_GEN_PRODUCT Product SAP_IBP_GEN_PRODFAM Product Family SAP_IBP_GEN_CUSTGROUP Customer Group

Flat File

Mapping to SAC dimension IDs

020_Location_<release>.csv LOCID

010_Customer_<re lease>.csv

CUSTID

090_UOMTo_<release>.csv UOMTOID

080_Currency_<re lease>.csv

CURRID

030_Product_<release>.csv PRDID

030_Product_<release>.csv PRDFAMILY

010_Customer_<re lease>.csv

CUSTGROUP

Procedure
1. On the Dimension detail screen, select the Data Management tab and choose Import data  File. 2. Select your local file (for example: 030_Product_<release>.csv) and choose Import. 3. After the content is uploaded, map it to the SAC dimensions (for example, Dimension ID = PRDID and
Description = PRDDESCR). Then choose Finish Mapping.

4. Repeat the steps for all SAP_IBP_GEN_xxx generic dimensions.
For further information on how to set up the connection between SAP Analytics Cloud and SAP Integrated Business Planning, you can refer to SAP Note 2814555

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2.49.4.2.6 Updating the Story
You can now update the predelivered story with your own data. 1. Open the SAP__IBP_SOP_MANAGEMENTBUSINESSREVIEW story. 2. On the Story screen, choose Refresh. 3. Story widgets are updated with your own data.
2.49.4.2.7 SAP Note
For further information on how to set up the connection between SAP Analytics Cloud and SAP Integrated Business Planning, you can refer to SAP Note 2814555

2.50 SAP Integration Suite
2.50.1 Overview
SAP Integration Suite is an enterprise integration platform as a service(iPaaS) that allows you to seamlessly integrate on-premise and cloud-based applications and processes with tools and prebuilt content managed by SAP. The computing infrastructure and embedded intelligence in Integration Suite offer a great opportunity for organizations to become intelligent enterprises. An intelligent enterprise enables you to achieve results faster and gain business agility with a versatile, dynamic, and enterprise-grade cloud integration platform. SAP Integration Suite comes with following key capabilities: 1. Cloud Integration Cloud Integration supports end-to-end process integration across cloud-based and on-premise applications based on the exchange of messages 2. API Management Get access to simple, scalable, and secure digital assets through application programming interfaces (APIs) and consume these. 3. Open Connectors Open Connectors simplifies and allows you to build seamless integrations with over 160 non-SAP applications using pre-built connectors. 4. Integration Advisor Integration Advisor is an intelligent integration content management system that helps you accelerate the development of business-oriented interfaces and mappings. Currently, in SAP Analytics Cloud you can explore the dashboards for Cloud Integration and API Management capabilities.

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Cloud Integration Reporting Dashboard The Cloud Integration reporting dashboard offers the tenant administrators with an unbiased view on the performance of messages and integration content artifacts deployed on a tenant. For more information, see Architecture & Abstract - SAP Help Portal. API Management Reporting Dashboard API Management, as SAP Integration Suite capability creates a digital experience to design, develop, and manage APIs in a secure and scalable environment. The API Management Reporting Dashboard is built upon SAP Analytics Cloud (SAC), describing various patterns of API consumption and performance. What is the purpose of the Dashboard? The API Management Reporting Dashboard displays runtime data of APIs gathered and analyzed as charts and key performance indicators. The data can be viewed across various report pages namely Overview, Health, and Usage, with each page providing information about key API metrics. - Overview: The Overview page provides a summarized report on API usage and performance. On the Overview page, you can analyze reports and view API trends for the last seven days about the most popular APIs, the total number of API calls, response time, and latency. - Health: The Health page provides reports about key metrics related to the performance of your APIs. The Health page allows to quickly monitor API metrics that affect the performance of APIs and view API error trends for the selected interval. - Usage: The Usage page provides reports about key metrics related to user engagement. On the Usage page, you can analyze API metrics that indicate the overall traction or acceptance of the API program and view API trends for the selected interval.
2.50.2 Architecture & Abstract
SAP Integration Suite connects and contextualizes processes and data while enabling new content-rich applications to be assembled faster with less dependence on IT.

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2.50.3 Stories
 Cloud Integration - Stories  API Management -API Management Reporting Dashboard (SAP__ALL_GEN_APIMGMTREPORTING_DAQ)
[page 462] Stories

2.50.3.1 API Management Reporting Dashboard (SAP__ALL_GEN_APIMGMTREPORTING_DAQ)

Measure Name Success
CM_AVG_RESPONSETIME

Type Calculated Measure
Calculated Measure

Formula/Properties
Measure [CallCount] - Measure [Su mErrors]
Measure [SumResponseTime] / Meas ure [CallCount]

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Measure Name CM_KPI_SUMAPICALLS_PREVWEEK

Type Restricted Measure

CM_KPI_SUMAPICALLS_CURRWEEK Restricted Measure

CM_KPI_DIFF_TO TAL_API_CALLS_PREV_WEEK

Calculated Measure

CM_KPI_SUMRESPONSETIME_CURR Restricted Measure WEEK

CM_KPI_SUMRESPONSETIME_PRE VWEEK

Restricted Measure

CM_KPI_AVGRESPONSETIME_CURR WEEK

Calculated Measure

CM_KPI_AVGRESPONSETIME_PRE VWEEK

Calculated Measure

CM_KPI_AVGDIFF_RESONSE TIME_PREV_WEEK

Calculated Measure

CM_KPI_SUMREQUESTPROCESSIN GLATENCY_CURRWEEK

Restricted Measure

CM_KPI_SUMREQUESTPROCESSIN GLATENCY_PREVWEEK

Restricted Measure

CM_KPI_DIFF_REQUESTPROCESSIN GLATENCY_PREV_WEEK

Calculated Measure

CM_KPI_SUMAPIERRORS_CURRWEEK Restricted Measure CM_KPI_SUMAPIERRORS_PREVWEEK Restricted Measure

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Formula/Properties
Measure [Total Calls ] restricted by [CreatedTime] on [ Previous Week ]
Measure [Total Calls ] restricted by [CreatedTime] on [ Current Week ]
Measure [CM_KPI_SUMAPI CALLS_CURRWEEK]- Measure [CM_KPI_SUMAPICALLS_PREVWEEK]
Measure [SumResponseTime ] re stricted by [CreatedTime] on [ Current Week ]
Measure [SumResponseTime ] re stricted by [CreatedTime] on [ Previous Week ]
Measure [CM_KPI_SUMRESPONSE TIME_CURRWEEK] / Measure [CM_KPI_SUMAPICALLS_CURRWEEK]
Measure [CM_KPI_SUMRESPONSE TIME_PREVWEEK] / Measure [CM_KPI_SUMAPICALLS_PREVWEEK]
Measure [CM_KPI_AVGRESPONSE TIME_CURRWEEK]- Measure [CM_KPI_AVGRESPONSETIME_PRE VWEEK]
Measure [SumRequestProcessingLa tency ] restricted by [CreatedTime] on [ Current Week ]
Measure [SumRequestProcessingLa tency ] restricted by [CreatedTime] on [ Previous Week ]
Measure [CM_KPI_SUMREQUESTPRO CESSINGLATENCY_CURRWEEK] Measure [CM_KPI_SUMREQUESTPRO CESSINGLATENCY_PREVWEEK]
Measure [Failure ] restricted by [Crea tedTime] on [ Current Week ]
Measure [Failure ] restricted by [Crea tedTime] on [ Previous Week ]

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Measure Name
CM_KPI_DIFF_APIER RORS_PREV_WEEK

Type Calculated Measure

CM_KPI_SUMTARGETERRORS_CURR Restricted Measure WEEK

CM_KPI_SUMTARGETERRORS_PRE VWEEK

Restricted Measure

CM_KPI_DIFF_TARGETER RORS_PREV_WEEK

Calculated Measure

CM_KPI_SUMTARGETRESPONSE TIME_CURRWEEK

Restricted Measure

CM_KPI_SUMTARGETRESPONSE TIME_PREVWEEK

Restricted Measure

CM_KPI_AVGTARGETRESPONSE TIME_CURRWEEK

Calculated Measure

CM_KPI_AVGTARGETRESPONSE TIME_PREVWEEK

Calculated Measure

CM_KPI_AVGDIFF_TARGETRESPON SETIME_PREV_WEEK

Calculated Measure

Average Target Response Time

Calculated Measure

CM_AVG_POLICYRESPONSETIME

Calculated Measure

Formula/Properties
Measure [CM_KPI_SUMAPIER RORS_CURRWEEK]-Measure [CM_KPI_SUMAPIERRORS_PRE VWEEK]
Measure [SumTargetError ] restricted by [CreatedTime] on [ Current Week ]
Measure [SumTargetError ] restricted by [CreatedTime] on [ Previous Week ]
Measure [CM_KPI_SUMTARGETER RORS_CURRWEEK] - Measure [CM_KPI_SUMTARGETERRORS_PRE VWEEK]
Measure [SumTargetResponseTime ] restricted by [CreatedTime] on [ Cur rent Week ]
Measure [SumTargetResponseTime ] restricted by [CreatedTime] on [ Previ ous Week ]
Measure [CM_KPI_SUMTARGETRES PONSETIME_CURRWEEK] / Measure [CM_KPI_SUMAPICALLS_CURRWEEK]
Measure [CM_KPI_SUMTARGETRES PONSETIME_PREVWEEK] / Measure [CM_KPI_SUMAPICALLS_PREVWEEK]
Measure [CM_KPI_AVGTARGETRES PONSETIME_CURRWEEK] - Measure [CM_KPI_AVGTARGETRESPONSE TIME_PREVWEEK]
Measure [SumTargetResponseTime] / Measure [ CallCount]
Measure [PolicyResponseTime] / Measure [CallCount]

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2.50.4 Models
Cloud Integration Models:  SAP Generic: General - CPI Message Processing Logs
(SAP__ALL_GEN_IM_CPIMESSAGEPROCESSINGLOGS) [page 40]  SAP Generic: General - CPI Integration Runtime Artifacts (SAP__ALL_GEN_IM_CPIRUNTIMEARTIFACTS)
[page 41]  SAP Generic: General - CPI Service Endpoints (SAP__ALL_GEN_IM_CPISERVICEENDPOINTS) [page 42]

API Management Models

Model Name: SAP__ALL_GEN_IM_APIMGMT

Connection

- Model Description: SAP Generic: Gen eral - SAP Analytics
- Planning Enabled: no

- Import Data Connection to OData Services - SAPAPIM

Account ID

Description

Mapping/Formula

AvgErrors

AvgErrors

AvgPolicyError

AvgPolicyError

AvgRequestP_r486o04v70

AvgRequestProcessingLatency

AvgRequestSize

AvgRequestSize

AvgResponse_16m7204x5k

AvgResponseProcessingLatency

AvgResponseTime

AvgResponseTime

AvgTargetError

AvgTargetError

AvgTargetResponseTime

AvgTargetResponseTime

CallCount

CallCount

MaxRequestP_6f72f3k3h3

MaxRequestProcessingLatency

MaxRequestSize

MaxRequestSize

MaxResponse_713s560632

MaxResponseProcessingLatency

MaxResponseTime

MaxResponseTime

MaxTargetResponseTime

MaxTargetResponseTime

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Model Name: SAP__ALL_GEN_IM_APIMGMT MinRequestP_3g232804kg MinRequestSize MinResponse_2f1a2b01y3 MinResponseTime MinTargetResponseTime PolicyResponseTime SumErrors SumPolicyError SumRequestP_6q4p6801l5 SumRequestSize SumResponse_5e6s6a3k1e SumResponseTime SumTargetError SumTargetResponseTime
Dimensions Name Account* ID_k3850253g4 ApiProxy ProxyBasepath RequestUrl RequestMethod ResponseCode DeveloperName ApplicationName ProductName

Connection MinRequestProcessingLatency MinRequestSize MinResponseProcessingLatency MinResponseTime MinTargetResponseTime PolicyResponseTime SumErrors SumPolicyError SumRequestProcessingLatency SumRequestSize SumResponseProcessingLatency SumResponseTime SumTargetError SumTargetResponseTime

Description Account ID_k3850253g4 ApiProxy ProxyBasepath RequestUrl RequestMethod ResponseCode DeveloperName ApplicationName ProductName

Mapping

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Dimensions

CacheHit

CacheHit

TargetHost

TargetHost

TargetUrl

TargetUrl

PlatformName

PlatformName

AgentsName

AgentsName

DeviceType

DeviceType

OsFamilyName Additional Notes about the model

OsFamilyName

Import Method Used: Clean and replace selected version data - Deletes the existing data and adds new entries to the target model. Configure Data Scheduling: By default, the scheduling frequency is set to None. We recommend you to schedule a data import every one hour, see Updating and Scheduling Models.

2.50.5 Data Connectivity
Cloud Integration: OData Connectivity [page 43] API Management To connect your API Management tenant to this SAC story, use the existing connection with the name SAPAPIMGMT and configure it as described here. You can connect to an OData Service in SAP Analytics Cloud application, based on the connectivity types. By default, the data acquired and displayed initially in the dashboard is from a sample data.

Configure OAuth
First, you must obtain the OAuth 2.0 credentials (OAuth Client ID, Secret), and the Token Endpoint URL in order to access the API Management ODATA APIs. Refer to the help documentation to retrieve the OAuth 2.0 credentials and make a note of it. 1. Provide your API Management tenant URL that has the format https://<apimanagement-tenant-url>/api/v1 2. Select OAuth 2.0 Client Credentials. 3. Provide the OAuth Client ID registered in the cockpit.

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4. Provide the Secret password defined in cockpit. 5. Use the Token Endpoint URL obtained from the cockpit.
2.51 SAP Logistics Business Network - Supply Chain Network Analytics
2.51.1 Architecture and Abstract
SAP Logistics Business Network is an open and secure network that connects multiple business partners for inter-company logistics collaboration and insights. These are predefined analytics samples that can be consumed by the intelligent insights option for SAP Logistics Business Network.

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2.51.2 Stories 2.51.2.1 Logistics Execution Insights Dashboard

Logistics Execution Insights Dashboard (SAP__SCM_LBN_LOGISTICSEXECUTIONINSIGHTSDASHBOARD_LIVE)

Measure Name

Type

Formula/Properties

Total Cargo Volume

Calculated Measure

Float of cargo volume

Total Cargo Weight

Calculated Measure

Float of cargo weight

Total Pick-up Running Late

Calculated Measure

Total number of loading shipments whose ETA time difference > 10 min

Total Deliveries Running Late

Calculated Measure

Total number of unloading shipments whose ETA time difference > 10 min

2.51.2.2 Logistics Performance Insights Dashboard

Logistics Performance Insights Dashboard (SAP__SCM_LBN_LOGISTICSPERFORMANCEINSIGHTS_LIVE)

Measure Name

Type

Formula/Properties

Activity Time

Calculated Measure

Activity duration time

Transition Time Between Locations

Calculated Measure

Transit Time between two transporta tion locations

2.51.3 Models 2.51.3.1 Dock Appointments

Model Name: SAP__SCM_LBN_LH_DOCKAPPOINT MENTS
- Model Description: Dock Appointments - Planning Enabled: No

Connection - HANA live connection -Direct - P_CV_DockAppointments

Additional Notes about the model
This model is used for chart: Open Appointments in Coming 7 Days in Logistics Execution Insights Dashboard.

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2.51.3.2 Reported Events for In Execution Orders

Model Name: SAP__SCM_LBN_LH_REPORTEDEVENTS FORINEXECUTIONORDERS

Connection

- Model Description: Reported Events for In Execution Orders - HANA live connection -Direct

- Planning Enabled: No

- P_CV_ReportedEventsForInExecutionOrders

Additional Notes about the model
This model is used for chart: Delay/Late Reasons for In Execution Shipments in Logistics Execution Insights Dashboard.

2.51.3.3 In Execution Freight Documents Tracking

Model Name: SAP__SCM_LBN_LH_INEXECUTION FREIGHTDOCUMENTSTRACKING
- Model Description: In Execution Freight Documents - Planning Enabled: No

Connection - HANA live connection -Direct - P_CV_InExecutionFreightDocumentsTracking

Additional Notes about the model
This model is the main data source for in execution shipments that is used for all the other charts in Logistics Execution Insights Dashboard.

2.51.3.4 Executed Activities (SAP__SCM_LBN_LH_ALLEXECUTEDACTIVITIES)

Model Name: SAP__SCM_LBN_LH_ALLEXECUTEDACTIVI

TIES

Connection

Model Description: Executed Activities

HANA live connection - Direct

Planning Enabled: No

P_CV_PerformanceInsightAllExecutedActivities

Additional Notes about the model This model is used in Logistics Performance Insights dashboard.

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2.51.3.5 Event Logs (SAP__SCM_LBN_LH_ALLEVENTLOGS)

Model Name: SAP__SCM_LBN_LH_ALLEVENTLOGS Model Description: Event Logs Planning Enabled: No

Connection HANA live connection - Direct P_CV_PerformanceInsightAllEventLog

Additional Notes about the model This model is used in Logistics Performance Insights dashboard.

2.51.3.6 Transportation Stages (SAP__SCM_LBN_LH_STAGES)

Model Name: SAP__SCM_LBN_LH_STAGES Model Description: Transportation Stages Planning Enabled: No

Connection HANA live connection - Direct P_CV_PerformanceInsightStages

Additional Notes about the model This model is used in Logistics Performance Insights dashboard.

2.52 SAP Marketing
2.52.1 SAP Marketing
Two sets of content are delivered for SAP Marketing:  SAP Marketing Cloud and On Premise based on live connection  Data acquisition: Sentiment Media Mix based on SAP Marketing on-premise (one story only including
sample data)

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2.52.1.1 SAP Marketing (Live Connections)
SAP Marketing content uses a live connection. Before activating the SAP Marketing content. Please read the documentation carefully and set up the required connections.
2.52.1.2 SAP Marketing Cloud
This content package covers the following topics:

Campaign Analytics
 Success of Email and SMS Campaigns Overview of Email and SMS campaign success for the last three months. Information includes numbers for Sent Messages, Delivered Messages, Unique Clicks, Hard Bounces, Soft Bounces, Missing Opt-in, Missing Communication Data, Relevant Overall Rates, and a comparison of Open Rate versus Opened Messages and more.
 Campaign Statistics Key campaign statistics and KPIs applicable for all campaigns during the last three months.
 Paid Social Campaigns Success Overview of the performance over time of paid social campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).
 Paid Search Campaigns Success Overview of the performance over time of paid search campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).
 Display Ad Campaigns Success Overview of the performance over time of display ad campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).
 Campaign Success for Mobile Push Notifications Operational report based on campaign success for mobile push notifications for the last three months.
 Bounce Statistics Overview of the hard and soft bounces in your campaign, including the recipient id, name of the contact and bounce reason and description.
 Hard Bounce Displays a list of contacts behind hard bounces.
 Soft Bounce Displays a list of contacts behind soft bounces.

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Contacts and Profiles
 Profile Analytics Overview of the channels used by the contacts to interact (in) during the last 3 months.
 Channel Interest Mix Overview of the distribution of interests across channels or communication media. It also visualizes the number of interactions raised for a given interest during the last 3 months.
 New and Converted Contacts Overview of how many new contacts have been created and how many contacts have been converted from a lower to a higher validation status during the last 3 months.

Leads and Accounts
 Lead Dashboard Detailed Analysis on progress and success of marketing driven lead management providing KPIs for leads, opportunities, lead stages, associated interests, and products.
 Spotlighting Accounts Overview of the KPIs for accounts and for accounts that are ABM-relevant. It allows you an insight into data related to accounts with respect to master data completeness and interaction effectiveness.
 Lead Nurture Performance Helps you understand the performance of a lead nurture stream.

Marketing Planning and Performance
 Spend for Marketing Plans Overview of the top planned spend per media type and spend type, planned spend compared to actual spend, and the programs and campaigns with the highest deviation from the planned spend.
 Marketing Conversions Overview of the counts and amounts of the key conversions defined as important in your business in the Conversions application. By default, the story analyses leads, opportunities and sales orders.

Offer Management
 Offer Preview Overview of offers that are planned during the next 3 months.
 Offer Success Detailed analysis and comparison of the success of offers that were valid during the last 3 months.

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Marketing Data Analysis
 Performance of Mobile Push Notifications Last Six Months Operational report for the performance of the mobile push notification campaign for the last six months.
NPS Feedback Analysis, by Accounts
Make the experience dimension measurable. Gauge the success of ABM programs based on experience data from Qualtrics using NPS.
 Note
 Last Update: Release 2020.08  You need to setup a live connection to see data. Please find more information on the SAP Help Portal
for SAP Marketing Cloud Getting Started Implement Onboarding Guide Setup of SAP Analytics Cloud  Please find more information on the stories on the SAP Help Portal for SAP Marketing Cloud Use Application Help English/German Business Features Analytics Analytics and Report Gallery

Related Information
https://help.sap.com/viewer/product/SAP_MARKETING_CLOUD/2005.500/en-US?task=discover_task https://help.sap.com/viewer/product/SAP_MARKETING_CLOUD/2005.500/en-US?task=discover_task

2.52.1.3 SAP Marketing On Premise (1909)
This content package covers the following topics:

Campaign Analytics
 Success of Email and SMS Campaigns Overview of Email and SMS campaign success for the last three months. Information includes numbers for Sent Messages, Delivered Messages, Unique Clicks, Hard Bounces, Soft Bounces, Missing Opt-in, Missing Communication Data, Relevant Overall Rates, and a comparison of Open Rate versus Opened Messages and more.
 Campaign Statistics Key campaign statistics and KPIs applicable for all campaigns during the last three months.

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 Paid Social Campaigns Success Overview of the performance over time of paid social campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).
 Paid Search Campaigns Success Overview of the performance over time of paid search campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).
 Display Ad Campaigns Success Overview of the performance over time of display ad campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).
 Campaign Success for Mobile Push Notifications Operational report based on campaign success for mobile push notifications for the last three months.
 Bounce Statistics Overview of the hard and soft bounces in your campaign, including the recipient id, name of the contact and bounce reason and description.
 Hard Bounce Displays a list of contacts behind hard bounces.
 Soft Bounce Displays a list of contacts behind soft bounces.
Contacts and Profiles
 Profile Analytics Overview of the channels used by the contacts to interact (in) during the last 3 months.
 Channel Interest Mix Overview of the distribution of interests across channels or communication media. It also visualizes the number of interactions raised for a given interest during the last 3 months.
 New and Converted Contacts Overview of how many new contacts have been created and how many contacts have been converted from a lower to a higher validation status during the last 3 months.
 Leads and Accounts Detailed Analysis on progress and success of marketing driven lead management providing KPIs for leads, opportunities, lead stages, associated interests, and products.
 Spotlighting Accounts Overview of the KPIs for accounts and for accounts that are ABM-relevant. It allows you an insight into data related to accounts with respect to master data completeness and interaction effectiveness.
 Lead Nurture Performance Helps you understand the performance of a lead nurture stream.

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Marketing Planning and Performance
 Spend for Marketing Plans Overview of the top planned spend per media type and spend type, planned spend compared to actual spend, and the programs and campaigns with the highest deviation from the planned spend.
Offer Management
 Offer Preview Overview of offers that are planned during the next 3 months.
 Offer Success Detailed analysis and comparison of the success of offers that were valid during the last 3 months.
Marketing Data Analysis
 Performance of Mobile Push Notifications Last Six Months Operational report for the performance of the mobile push notification campaign for the last six months. The content above is relevant for SAP Marketing On Premise (Release 1909). Last Update: Release 2020.08
 Note
 You need to setup a live connection to see data. Please find more information on the SAP Help Portal for SAP Marketing On Premise > Integration > Integration Guide > Integration Scenarios > ApplicationEnabling Integrations > Integration with SAP Analytics Cloud (1SO).
 Please find more information on the stories on the SAP Help Portal for SAP Marketing On Premise > Analytics and Reporting > Analytics Stories
2.52.1.4 SAP Marketing On Premise (2009)

Campaign Analytics
 Success of Email and SMS Campaigns Overview of Email and SMS campaign success for the last three months. Information includes numbers for Sent Messages, Delivered Messages, Unique Clicks, Hard Bounces, Soft Bounces, Missing Opt-in, Missing Communication Data, Relevant Overall Rates, and a comparison of Open Rate versus Opened Messages and more.
 Campaign Statistics

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Key campaign statistics and KPIs applicable for all campaigns during the last three months.  Paid Social Campaigns Success
Overview of the performance over time of paid social campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).  Paid Search Campaigns Success Overview of the performance over time of paid search campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).  Display Ad Campaigns Success Overview of the performance over time of display ad campaigns with a breakdown by key dimensions, such as marketing area or agency, and key measures, such as the number of impressions, for the top campaigns. It includes ad serving spend and related cost measures such as CPM (cost per 1000 impressions).  Campaign Success for Mobile Push Notifications Operational report based on campaign success for mobile push notifications for the last three months.  Bounce Statistics Overview of the hard and soft bounces in your campaign, including the recipient id, name of the contact and bounce reason and description.  Hard Bounce Displays a list of contacts behind hard bounces.  Soft Bounce Displays a list of contacts behind soft bounces.
Contacts and Profiles
 Profile Analytics Overview of the channels used by the contacts to interact (in) during the last 3 months.
 Channel Interest Mix Overview of the distribution of interests across channels or communication media. It also visualizes the number of interactions raised for a given interest during the last 3 months.
 New and Converted Contacts Overview of how many new contacts have been created and how many contacts have been converted from a lower to a higher validation status during the last 3 months.
 Leads and Accounts Detailed Analysis on progress and success of marketing driven lead management providing KPIs for leads, opportunities, lead stages, associated interests, and products.
 Spotlighting Accounts Overview of the KPIs for accounts and for accounts that are ABM-relevant. It allows you an insight into data related to accounts with respect to master data completeness and interaction effectiveness.
 Lead Nurture Performance Helps you understand the performance of a lead nurture stream.

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Marketing Planning and Performance
 Spend for Marketing Plans Overview of the top planned spend per media type and spend type, planned spend compared to actual spend, and the programs and campaigns with the highest deviation from the planned spend.
Offer Management
 Offer Preview Overview of offers that are planned during the next 3 months.
 Offer Success Detailed analysis and comparison of the success of offers that were valid during the last 3 months.
Marketing Data Analysis
 Performance of Mobile Push Notifications Last Six Months Operational report for the performance of the mobile push notification campaign for the last six months. The content above is relevant for SAP Marketing On Premise (Release 1909). Last Update: Release 2020.08
 Note
 You need to setup a live connection to see data. Please find more information on the SAP Help Portal for SAP Marketing On Premise > Integration > Integration Guide > Integration Scenarios > ApplicationEnabling Integrations > Integration with SAP Analytics Cloud (1SO).
 Please find more information on the stories on the SAP Help Portal for SAP Marketing On Premise > Analytics and Reporting > Analytics Stories

2.52.1.5 SAP Marketing ­ Data Acquisition (CEC_MKT_SE)
The next chapters provide the detailed information about Architecture, Stories, Models of SAP Marketing-Data Acquisition.

2.52.1.5.1 Architecture and Abstract
As described in the diagram below, we acquire data from SAP Marketing (On Premise), connecting via OData to the corresponding HANA On Premise instance. Architecture

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Usage in Industry-specific Boardrooms
To use the SAP Marketing Sentiment Media Mix boardroom as is, industries can make a copy of the story SAP__CEC_MKT_SE_SentimentMediaMixIM to their own namespace.
Alternatively, industries can create their own stories, pointing to the CEC_MKT_SE SAP Analytics Cloud models described above. You will find a list of industry stories pointing to one or more of these models below:

Industry SAP Utilities

Story SAP__UTL_CE_ANALYSIS

2.52.1.5.2 Stories
SAP Marketing (On Premise): Sentiment Media Mix, Last Week Imported (SAP__CEC_MKT_SE_SentimentMediaMixIM) There is a single story for SAP Marketing Sentiment Media Mix as described below
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Name: SAP__CEC_MKT_SE_SentimentMediaMixIM

Description: SAP Marketing (On Premise): Sentiment Media Mix, Last Week Imported

Page: Sentiment Media Mix

Charts

Title

Models Used

Social Media Posts Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMM

Number of positive, neutral, and negative posts on social media by day over the last 7 days.

Social Media Posts Last 7 Days by Communication Medium SAP__CEC_MKT_SE_IM_SNTCOMM

Number of positive, neutral, and negative posts on social media by communication medium over the last 7 days.

Top 5 Interests with Pos. Sentiments Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMMINT

Top 5 items of interest with regards to number of positive posts over the last 7 days.

Top 5 Interests with Neg. Sentiments Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMMINT

Top 5 items of interest with regards to number of negative posts over the last 7 days.

# of Posts for Top 5 Interests with Pos. Sent. Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMMINT

# of positive, neutral, & negative posts for each of the Top 5 items of interest with regards to # of pos. posts over the last 7 days.

2.52.1.5.3 Models
The next chapters provide the detailed information about the Model: (SAP_CEC_MKT_SE_IM_SNTCOMM)

2.52.1.5.3.1 Sentiment Media Mix Last 7 Days (SAP__CEC_MKT_SE_IM_SNTCOMM)

Model Name: SAP__CEC_MKT_SE_IM_SNTCOMM

Model Description: SAP Marketing (On Premise): Sentiment Media Mix Last 7 Days

Planning Enabled: No

Account* ID Positive_Sentiment Neutral_Sentiment Negative_Sentiment

Description Positive Neutral Negative

Connection Connection Type: Import Data Connec tion to OData Services (see description below)
Formula/Mapping POSTS_POSITIV POSTS_NEUTRAL POSTS_NEGATIV

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Model Name: SAP__CEC_MKT_SE_IM_SNTCOMM

Number_of_Posts

Number of Posts

Dimensions ID Time* SAP_CEC_MKT_COMM Additional Notes about the model

Description Time Communication Medium

Connection [Positive_Sentiment]  +[Neutral_Sentiment]  +[Negative_Sentiment]
Mapping DATE_SQL COMM_MEDIUM

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Model Name: SAP__CEC_MKT_SE_IM_SNTCOMM

Connection

Connection HANA Calculation View: sap.hanaapp.cuan.mkteff.XSAPP.v::CA_SE_INTERACTION_ANALYSIS Open HANA Studio Create an XS Project "SentimentOData" Create file "MediaMix.xsodata" and edit it with the following code:
 Source Code

service { "sap.hana-
app.cuan.mkteff.XSAPP.v::CA_SE_INTERACTION_ANALYSIS" as "MediaMix" keys generate local "ID" aggregates always; }

Leave file .xsapp blank Make sure you set authentication to Basic in the .xsaccess file:
 Source Code

{ "authentication" :

"exposed" : true,
{ "method": "Basic" }, "cache_control" : "must-revalidate", "cors" : { "enabled" : false }, "enable_etags" : false, "force_ssl" : false, "prevent_xsrf" : true }

Activate your XS project via its Team/Activate context menu For more details on the steps above, refer to the following blogs: https://blogs.sap.com/2012/12/21/hana-development-xs-odata-services/ https://blogs.sap.com/2013/01/22/rest-your-models-on-sap-hana-xs/

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Model Name: SAP__CEC_MKT_SE_IM_SNTCOMM

Connection

On your SAP Analytics Cloud System, create an OData connection as displayed in the screenshot below.

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Model Name: SAP__CEC_MKT_SE_IM_SNTCOMM

Connection

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Model Name: SAP__CEC_MKT_SE_IM_SNTCOMM

Connection

You can now use this SentimentMediaMix oData connection to map the "Data Acquisition" model SAP__CEC_MKT_SE_IM_SNTCOMM to its HANA data source.

 Note
*Private dimension and other dimensions are public.

2.52.1.5.3.2 Sentiment Media Mix Last 7 Days w/ Item of Interest Data (SAP__CEC_MKT_SE_IM_SNTCOMMINT)

Model Name: SAP__CEC_MKT_SE_IM_SNTCOMMINT

Connection

 Model Description: SAP Marketing (On Premise): Sentiment Media Mix Last 7 Days w/ Item of Interest Data
 Planning Enabled: No

Connection type: Import Data Connec tion to OData Services (see details be low)

Account* ID Positive Neutral Negative Dimensions ID Time* SAP_CEC_MKT_COMM Item of Interest Additional Notes about the model

Description Positive Neutral Negative
Description Time Communication Medium Interest

Formula/Mapping POSTS_POSITIV POSTS_NEUTRAL POSTS_NEGATIV
Mapping DATE_SQL COMM_MEDIUM INTEREST_ITEM

Connection HANA Calculation View: sap.hanaapp.cuan.mkteff.XSAPP.v::CA_SE_INTERACTION_ANALYSIS
Use the SentimentMediaMix oData connection created earlier to map the "Data Acquisition" model SAP__CEC_MKT_SE_IM_SNTCOMMINT to its HANA data source.

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2.53 SAP Procurement: Contract Management
2.53.1 Architecture and Abstract
The SAP Procurement: Contract Management content package is an integrated set of analytics based on SAP Ariba Contracts data. The package covers three areas to provide insight into procurement contracts: 1. Overview ­ Provides an overview status and insight into an organization's active procurement contracts. 2. Contract Compliance ­ Measures an organization's compliance on making purchases against active contracts. 3. Contract Workspace and Clauses ­ Provides insights into contract execution efficiency and insights into contract clause usage.

2.53.2 Stories
This package contains the following story: - SAP Procurement Contract Management (SAP__PROC_Contract_Management) Remark: The currency used in the story is the same as the chosen reporting currency in the source Ariba system.

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Overview Page Measures

Measure Name Total Contract Amount

Type Restricted Measure

Number of Open Contracts

Restricted Measure

Number of Commodities Number of Suppliers Number of Contracts Number of Open Contracts

Restricted Measure Restricted Measure Aggregation Aggregation

Contract Compliance Page Measures

Measure Name Amount Invoiced

Type Restricted Measure

Amount Used

Restricted Measure

Amount Left

Restricted Measure

Number of Open Contracts

Aggregation

Content Package User Guide Line of Business

Formula/Properties
Measure [ Total Contract Amount ] re stricted by Category [ Actual ] and Expi ration Date [ Include before 2021 ]
COUNT DIMENSION [ Contract ID ] restricted by Category [ Actual ] and Status [ Open ]
COUNT DIMENSION [ Commodity ] restricted by Category [ Actual ]
COUNT DIMENSION [ Supplier ID ] restricted by Category [ Actual ]
COUNT DIMENSION - Contract ID
COUNT DIMENSION - Contract ID

Formula/Properties
Measure [ Amount Invoiced ] restricted by Category [ Actual ] and Expiration Date [ Exclude before 2021 ]
Measure [ Amount Used ] restricted by Category [ Actual ] and Expiration Date [ Exclude before 2021 ]
Measure [ Amount Left ] restricted by Category [ Actual ] and Expiration Date [ Exclude before 2021 ]
COUNT DIMENSION - Contract ID

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Measure Name Account Max Commitment

Type Restricted Measure

Account Amount Left Percentage
Contract Spend Non-Contract Spend Measure Name Number of Executed Contracts

Calculated Measure
Restricted Measure Restricted Measure Type Calculated Measure

Number of Completed Contracts

Calculated Measure

Average Duration Clause Count Account Max Commitment

Calculated Measure Restricted Measure Restricted Measure

Number of Projects

Aggregation

Duration

Restricted Measure

Formula/Properties
Measure [ Account Max Commitment ] restricted by Category [ Actual ] and Ex piration Date [ Exclude before 2021 ] and Status [ Open ]
["SAP__PROC_CON_IM_CON TRACTS":AmountPercentLeft]/100
Version [ Actual ]
Version [ Actual ]
Formula/Properties
Measure [ Number of Projects ] re stricted by Category [ Actual ] and Expi ration Date [ Exclude before 2021 ] and State [ Active ]
Measure [ Number of Projects ] re stricted by Category [ Actual ] and Expi ration Date [ Exclude before 2021 ] and State [ Completed ]
AVERAGE [ Duration ] aggregated by [ ProjectId ] restricted by Category [ Ac tual ] and State [ Completed ]
Measure [ Clause Count ] restricted by Category [ Actual ]
Measure [ Account Max Commitment ] restricted by Category [ Actual ] and Ex piration Date [ Exclude before 2021 ] and Status [ Open ]
COUNT DIMENSIONS [ ProjectId ] re stricted by Account [ Duration, Total Contract Amount, Number of Projects ] and Begin Date [ 2020, 2021 ] and Cat egory [ Actual ]
Restricted by Account [ Duration, Total Contract Amount, Number of Projects ] and Begin Date [ 2020, 2021 ] and Cat egory [ Actual ]

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Measure Name Total Contract Amount

Type Restricted Measure

Formula/Properties
Restricted by Account [ Duration, Total Contract Amount, Number of Projects ] and Begin Date [ 2020, 2021 ] and Cat egory [ Actual ]

2.53.3 Models

Data Connectivity for the models is based on SAP Ariba Contracts and SAP Ariba Contract Compliance. SAP Ariba provides a reporting API that allows scheduled data extraction into SAP Analytics Cloud via a consumer specific OData Service that requires additional services. Please contact your designated SAP Ariba support representative for implementation details.

Model Name

Technical Model Name

Connection

- SAP Procurement: Contract Manage - SAP__PROC_CON_IM_CONTRACTS ment: Contracts

- SAP Ariba created OData connection

- SAP Procurement: Contract Manage ment: Contract vs. Non Contract Spend By Commodity

- SAP__PROC_CON_IM_CON TRACTS_COMMODITY

- SAP Ariba created OData connection

- SAP Procurement: Contract Manage ment: Contract vs. Non Contract Spend By Supplier

- SAP__PROC_CON_IM_CON TRACTS_SUPPLIER

- SAP Ariba created OData connection

- SAP Procurement: Contract Manage - SAP__PROC_CON_IM_CON

ment: Contract Clauses

TRACT_CLAUSES

- SAP Ariba created OData connection

- SAP Procurement: Contract Manage - SAP__PROC_CON_IM_CON

ment: Contract Line Items

TRACT_LINEITEMS

- SAP Ariba created OData connection

- SAP Procurement: Contract Manage - SAP__PROC_CON_IM_CON

ment: Contract Workspaces

TRACT_WORKSPACES

- SAP Ariba created OData connection

2.53.4 Data Source

Data Connectivity for the models is based on SAP Ariba Contracts and SAP Ariba Contract Compliance. SAP Ariba provides a reporting API that allows scheduled data extraction into SAP Analytics Cloud via a consumer specific OData Service that requires additional services. Please contact your designated SAP Ariba support representative for implementation details.

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The OData connection name that the SAC models connect to will be defined by the customer once the data extractor is deployed in the customer environment. The OData service will have a dedicated URL per customer and must be connected to an OData connection in SAC.

2.54 SAP Product Carbon Footprint Analytics
2.54.1 Overview
Fighting climate change is rapidly moving up on the business agenda. The motivation of industry leaders goes beyond a heartfelt obligation to leave a livable planet to their children and grandchildren.
To safeguard their "license to operate" and to be a viable investment on the capital market, leading enterprises make their business model, product portfolio, operations, and supply chains compatible with customer and investor preferences ­ and resilient to more climate-related regulation.
Fighting climate change begins with understanding the CO2 footprint of a business. Greenhouse gas emissions don't just happen, they rather are the result of many distributed business decisions on all levels of the enterprise.
To enable businesses to minimize their CO2 footprint, they need the tools to analyze the impact of production, transportation, logistics, and the embedded contribution of procured materials, components, and energy to the overall greenhouse gas balance of services and finished goods. Dynamic and transparent insight is the foundation to minimize greenhouse gas emissions in day-to-day operations, to analyze business performance, to negotiate with suppliers, and to communicate with customers and ultimately consumers.
To optimize the carbon footprint of any operations, the best place to start is the end-product, which accumulates all the greenhouse gas emissions generated by all suppliers and all emissions by the enterprise itself, much in the same way that an end product accumulates all costs to calculate profitability.
If you find in a portfolio analysis that a product, a plant, a raw material, a piece of equipment, or a business unit consistently underperforms, then you can focus on these specific aspects to improve the overall performance. There is no fundamental difference between cost, revenue, and greenhouse gas performance.
With SAP Product Carbon Footprint Analytics, we believe that we can give you the tools to analyze your business portfolio and identify the things that need attention. The focus of this solution is on carbon footprint and the different factors playing into the carbon footprint for each product or plant.

2.54.2 Getting Started
For installation, see the general part of the documentation for an overview to select packages from the Business Content and install the packages.
The first time when an SAP Analytics Cloud package is imported, it is recommended to import all data (leave all data checkboxes checked) to import example data. However, once productive data is available in the system, it is recommended to uncheck the data checkbox for Models\SAP__C21_ANA_IM_CO2EPRODUCT to leave the existing data intact.

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2.54.3 Configuration
In a first step, the data connection to S/4HANA, "FP&A - SAP Best Practices" must be configured (see menu "Connection") if not done yet. Please supply the relevant credentials of a technical user for the S/4HANA system which can be used to access the APIs. Note that only this connection needs to be maintained. Maintenance of further connections that are shipped with this package is optional. These would only be needed to supply dimensions with master data from further connected systems.
Within the data model, SAP__C21_ANA_IM_CO2EPRODUCT, first the master data must be configured. In many SAC tenants, most of the dimensions would already have data replicated. If not, for each dimension, the data must be replicated from the S/4HANA system after the relevant parameters have been configured to match business customization. It is important that all dimensions are imported first.
 Note
The demo data that is shipped with the package comes with its own data entries also in the relevant dimensions.
The dimension SAP__C21_ANA_IM_CO2ECATAGORY has no service for import attached, it is automatically filled during the import step.
Afterwards, the transaction data has to be configured and imported via the "Data Management" button. The SAP Product Carbon Footprint Analytics package uses three queries:
 Quantity Structure: Used with an inner join to sales quantities to load only those structures that have sales available and hence are relevant for CO2e footprint. The quantity structures determine which raw materials and processing activities flow into each product.
 Unit of Measures: Used also with an inner join to sales quantities, to download for all quantity structures the different conversions for unit of measures that are available for each product. These are sets of conversions are between a base and an alternative unit which are then used to make suggestions for conversions between Lot Size Units and Sales Quantity Units.
 Sales Quantities: This API is used to retrieve the quantities of each product sold. (Note that the current version does not support the use of production quantities for the purpose of CO2e footprint calculation.)
It may be required to edit each query (via "Edit Query") to match the configuration and customization in the S/ 4HANA system. For example, Costing Variant could be different within the business process, which would require an update of data imports in the model to the correct variant. In other cases, configurations may require applying specific filters to the Costing Status to restrict replication to relevant products. One can also consider creating a separate quantity structure, as a new variant, specifically for CO2e calculations. Furthermore, G/L Accounts should be reviewed, to make sure all G/L Accounts used for sales revenues are listed.
Note that queries are preconfigured to run in update mode. In order to support a delta load of S/4HANA data while keeping previously maintained CO2e values, it is recommended to keep queries in update configuration.
It is possible to plan a regular automatic import for these three APIs or to manually trigger an import. After each import, in the Data Maintenance story (SAP__C21_ANA_CO2EDATAMAINTENANCE) the Initialize Data Model data action must be triggered.

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2.54.4 Architecture and Abstract
The SAP Product Carbon Footprint Analytics content on SAP Analytics Cloud consists of the following two stories:
 Data Maintenance for CO2e Emissions: In the first step, relevant CO2 equivalent (CO2e) emission values need to be maintained for production steps, e.g. the CO2e values for raw materials purchased, energy (specifically electricity consumed) and CO2e produced in processing steps.
 Product Carbon Footprint Monitoring: When emissions data has been maintained, the monitoring story can be used to look at the overall emissions for a company or to analyse the emissions by products and/or plants.
Architecture

2.54.5 Models 2.54.5.1 Base Model for CO2e Emissions per Product

Model Name: SAP_C21_ANA_IM_CO2EPRODUCT

 Model Description: Base Model for CO2e Emissions per Product  Planning Enabled: yes

Account

ID

Description

MEASURE*

Measure

Dimensions

Connection SAP S/4HANA Import Connection "FP&A - SAP Best Practices"
Mapping/Formula n.a.

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Model Name: SAP_C21_ANA_IM_CO2EPRODUCT

Name

Description

Date

Date

SAP_ALL_PLANT

Plant

SAP_ALL_PRODUCT

Sold Product

SAP_FI_BPL_COMPONENTPLANT

Component Plant

SAP_ALL_MATERIAL

Material

SAP_ALL_COSTCENTER

Cost Center

SAP_FI_BPL_CCACTIVITYTYPE

Cost Center Activity Type

SAP_FI_BPL_COMPQUANTITY_UNIT Component Quantity Unit

SAP_FI_BPL_SALESQUANTITY_UNIT Sales Quantity Unit

SAP_C21_ANA_CO2ECATEGORY

CO2e Category

SAP_ALL_PROFITCENTER

Profit Center

SAP_FI_BPL_LOTSIZE_UNIT

Lot Size Unit

SAP_ALL_COMPANY_CODE

Company Code

Transaction Data Mapping

API Name

API_JOURNALENTRYITEMBASIC_SRV

API_FINPLAN_COSTESTIMATE_ITEMS_SRV

API_PRODUCT_SRV

Connection API Mapping n.a. API_PLANT_SRV API_PRODUCT_SRV API_PLANT_SRV API_PRODUCT_SRV API_COSTCENTER_SRV API_COSTCENTERACTIVITYTYPE_SRV C_FINUNITOFMEASURE_SRV C_FINUNITOFMEASURE_SRV n.a. API_PROFITCENTER_SRV C_FINUNITOFMEASURE_SRV API_COMPANYCODE_SRV
Description API Journal Entry Item (ACDOCA) API for Cost Estimate Items API for Product Units of Measure

*Private dimension, other dimensions are public.
All APIs from the table above refer to APIs that are exposed by S/4HANA systems (both On Premise and Cloud) via the reused S/4HANA - SAC import connection "FP&A - SAP Best practices". Custom queries on top of this import connection are used to import the transactional data. (bottom three lines in the table above)

2.54.5.2 Geo Model for CO2e Emissions

Model Name: SAP__C21_ANA_IM_CO2EGEO  Model Description: Geo Model for CO2e Emissions

Account Dimension ID MEASURE* Dimensions

Description Measure

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Model Name: SAP__C21_ANA_IM_CO2EGEO

Name

Description

Date

Date

Area

Area

SAP_ALL_COMPANY_CODE

Company Code

Connection
Basis Model Member ID
n.a.
SAP_C21_ANA_IM_CO2EPRO DUCT.SAP_ALL_COM PANY_CODE.Country
SAP_C21_ANA_IM_CO2EPRO DUCT.SAP_ALL_COMPANY_CODE

The data model SAP__C21_ANA_IM_CO2EGEO uses the data model SAP_C21_ANA_IM_CO2EPRODUCT as reference data set. The data replication is handled by the Data Action SAP__C21_ANA_UPDATE_GEO_CO2E.

2.54.6 Stories
2.54.6.1 CO2e Emissions Data Maintenance (SAP__C21_ANA_CO2EDATAMAINTENANCE)
This story is used for entering all relevant CO2 equivalent (CO2e) emissions for a company along the different steps of the value chain. It focuses on four main sources of emissions: purchased goods and energy, direct emissions from the production steps and output transport emissions. With this story all relevant CO2e information is captured; the analytical presentation is done in the monitoring story (see below).
This story requires a few steps to prepare the data for computing the final emissions by product, plant and profit center for reporting purposes. We assume that the relevant structural data has already been imported from S/4HANA (Quantity Structures and Sales Quantities).
 Data is replicated from S/4HANA, using standard SAP Analytics Cloud (SAC) features. Of importance is to first parameterize the APIs to fetch the correct data according to your customization, for example controlling area, fiscal year, etc.
 After new products have been imported from S/4HANA, on the Overview tab, the "Initialize Data Model" button has to be clicked once to prepare the data model for CO2e data maintenance. Note that this does not overwrite or reset previously maintained CO2e data. This step should be completed each time after new data has been imported from a S/4HANA system.
 By default, only one quantity structure is specified in the model and this single quantity structure is applied to all relevant periods. This quantity structure is imported directly into the "Actual" version of the data model and is then replicated into all periods. However, if different quantity structures are relevant for different periods, then the import of the quantity structure from S/4HANA must be changed to import the "Imported Quantity Structure" version. As a next step, use then the data action "Copy Time Dependent Data", on the Overview page, to copy the imported quantity structure into the relevant periods in the "Actual" version. This process can be repeated any number of times, each time after the quantity structure is updated. The updated quantity structure is synced again into the "Imported Quantity Structure" version and from there copied into new relevant periods again with the "Copy Time Dependent Data" data action.
 For all data values to be entered, time series support has been activated. It is possible to either enter an average value to be used as value over all periods, or it is possible to enter individual values for specific periods. In this case, you the default SAC drag-and-extend feature to replicate the value to adjacent periods.

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 In addition, an optional benchmark value can be added for each CO2e value specified. These benchmark numbers, if available, are then used in the monitoring, to show total CO2e values against the benchmark numbers. Note that total benchmark values are also computed similar to actual CO2e total values (based of sales quantities), so that after all computations, the actual total CO2e values can be compared to the planned benchmark numbers.
 Purchased Goods tab is used to enter CO2e emissions for all purchased materials, which are directly used by the company to produce own products. This tab reflects all materials that are part of the Bill of Materials (BOM) of products that have been sold in the time period of the data available from S/4HANA interface. What is required are the individual CO2e values for each material in the displayed base quantity. Recommended is to use Life Cycle Assessment (LCA) databases that are freely/commercially available for looking up CO2e values for materials, to obtain these values from suppliers or to use other sources of assessment.
 The Inbound Transport tab is used to capture CO2e emissions associated with the transportation of raw materials to the plant. Note that here CO2e emissions are specified relative to the respective raw materials for each product. In cases where complex transportation routes are used for inbound transportation to the plant, one could consider using average shipment values per raw material for the calculations.
 Purchased Energy tab is used to enter CO2e emissions associated with energy consumption of the individual processing steps directly required for producing the company's own products. All activities according to Routing or Recipe information of products that have been sold in the replicated time period are reflected in this tab.
 Direct Emissions tab is used to enter emissions that are caused directly in the production process itself, for example emissions measured at exhaust outlets of a production plant. This value has to be broken down over the specific products produced in the plant. The default option for allocation a total measured directed emission value for the complete plant to all products produced at the plant is to manually estimate the actual allocation per product. To support in this process, several heuristics are supported via data actions. Each of these heuristics will take the total CO2e direct emissions for a specific target plant and then allocate the emissions based on the programmed heuristics. For example: it is possible to allocate based on the sales quantities for each produced product.
 Outbound Transport Emissions tab is used to enter (averaged) emissions caused from transporting sold goods to their destination (e.g., the customer). For example: if your product is transported a specific number of kilometers per ship and a second leg with road transport, one takes the individual kilometer distances and for each type of transport multiplies that with the relevant CO2e emission values per kilometer. In the last step, one computes the number of products transported in such a shipment and then it is possible to compute the CO2e emissions per product for outbound transportation. In cases where complex transportation routes are used for shipment to different destinations, one could consider using average shipment values per product for the calculations.
 Overhead Emissions tab can optionally be used to capture any additional CO2e emissions that are associated with a specific product produced in a specific plant, that is not entered under any one of the other defined categories. This is effectively a place for miscellaneous CO2e entries.
 The Carbon Costs tab is used to maintain shadow costs associated with CO2e emissions. Such shadow costs could reflect company-internal fees, taxation, changes in buying propensities of customers, or virtual costs from non-material origins for example. A user is required to enter individual carbon costs for each sold product in the displayed currency per kg CO2e.
 The carbon footprint is computed based on sales quantities, which may be measured in other units of measurement than the production units. Generally, unit of measurement conversion factors are replicated from SAP S/4HANA, as far as they are available. In certain cases, however, the user may need to manual review and maintain these conversion factors in the Unit Conversion tab. All sales quantity units of products that have been sold in the replicated time period are reflected in this tab. A user is required to enter suitable Sales Quantity Unit and Lot Size Unit Factors for each non-identical unit conversion.

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 For review purposes, the Quantity Structures and Sales Quantities tabs allow the user to review the product quantity structures and sales quantities as replicated from SAP S/4HANA. The tabs Product-Level Emissions and Total Emissions allow the user to review the calculated CO2e footprint on a product unit level and on a total level, respectively. The Detailed Information tab provides an overview of all values currently captured in the model and is targeted at advanced users. All these tabs are not relevant for data input or analytical purposes.
After completing CO2e data maintenance, on the Overview tab, use both the Recalculate Carbon Footprint and Update Geospatial Data buttons to trigger a calculation of aggregated CO2e emissions on a product, plant and profit center level for reporting purposes. This option can be triggered any number of times, at a minimum once after all data has been entered. Afterwards, this version of the data needs to be published using the Publish Data button in the toolbar, so that the monitoring story can work against the updated data model.

2.54.6.2 Product Carbon Footprint Monitoring (SAP__C21_ANA_CO2EMONITORING)
The data maintenance story focused on the gathering off all CO2 equivalent (CO2e) emissions for a company over products and plants. The monitoring story focusses on distilling the information and presenting it in actionable form.
Several different views onto the data are available below.
 The Total View shows an overview of the total CO2e values over all products as produced in all plants. The total values are also broken down into the six main categories: purchased goods, purchased energy, inbound transport, overhead emissions, direct emissions, and outbound transport.
 The views Plant, Country, Profit Center and Product shows first at a high-level the total company CO2e emissions as well as the emissions per period. In a second step, the different emissions are broken down relative to the main view selected.
 The Product Unit view displays in high detail the CO2e values based on the raw materials used per product, as well as the production steps to produce the product.
 Carbon Costs view attaches a monetary shadow cost to the CO2e produced, based on the configured costs associated per CO2e unit for each plant location.
 Ranked View gives a Top 5 overview of each product causing the most CO2e values per category.

2.54.7 Data Actions
2.54.7.1 Data Actions for Base Model for CO2e Emissions per Product
 Initialization of SAP Product Carbon Footprint Analytics data model for newly replicated product quantity structures (SAP__C21_ANA_INIT_PRODUCT_CO2E). The focus of this data action is to create all the relevant data lines required to enter the different CO2e category values per product, as well as the relevant CO2e values for raw materials. In addition, it triggers a prefilling of unit of measurement conversion factors: Products can be produced and sold in different units of measure. Therefore, a unit of measure conversion factor is required during calculation. Via S4/HANA, relevant conversion factors are

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downloaded. If conversion rules can be identified that match the conversion factors required, these are automatically prefilled into the data. However, the user is still required to verify correctness of these conversion factors, see Unit Conversion tab of the Maintenance Story (refer to CO2e Emissions Data Maintenance (SAP__C21_ANA_CO2EDATAMAINTENANCE) [page 494]). Note that also values that have been filled in automatically can be overwritten by a user; if values are maintained for a data row, these will in particular not get updated anymore, even if a user re-executes the initialization of the data model (SAP__C21_ANA_INIT_PRODUCT_CO2E).
 Usually a single quantity structure is supported for the complete model. This quantity structure is replicated into all relevant periods. However, if different quantity structures are required, then these must be synced into the "Imported Quantity Structure" version and then replicated to the Actual version for the relevant periods using the copy data action (SAP__C21_ANA_VERSION_COPY).
 After data has been entered, the calculate product carbon footprint (SAP__C21_ANA_CALCULATE_PRODUCT_CO2E) data action will compute and update all relevant total CO2e emissions as used for the monitoring story in the next steps. Because geospatial data is computed via a second model, also a second data action is required to update the total product carbon footprint for each country (SAP__C21_ANA_UPDATE_GEO_CO2E). These two data actions must be triggered at least once after all data has been entered. They can be triggered any number of times as intermediate steps.
 A number of data actions implement special heuristics to allocate total CO2e emission values to different products (SAP__C21_ANA_ALLOCATE_PLANT_CO2E, SAP__C21_ANA_ASSIGN_COMPANY_CO2E and SAP__C21_ANA_ASSIGN_PLANT_CO2E). These data actions all use an allocation process (SAP__C21_ANA_ALLOCATE_PLANT_CO2E) to do the actual allocation after all relevant heuristics has been computed.

2.54.8 Data Exporting and Importing
SAP Product Carbon Footprint Analytics is designed such that required data can be imported from S4/HANA systems (see Known Issues and Restrictions) and maintained within the Maintenance Story (refer to CO2e Emissions Data Maintenance (SAP__C21_ANA_CO2EDATAMAINTENANCE) [page 494]). However, in some cases it might be helpful to perform maintenance of CO2e base data and other related attributes in an offline spreadsheet application instead. For such cases, SAP Product Carbon Footprint Analytics supports download and upload of data using a dedicated template.

2.54.8.1 Data Maintenance Template
The XLSX template has an exact format that reflects the data model used one to one. This is to ensure a consistent import of data without data wrangling being required. It enables the user, in cases where complex CO2e computations are required, to do these offline and upload the final numbers into SAP Analytics Cloud.
As the XLSX follows the data model in SAP Analytics Cloud, there are a fixed number of columns that must be available. These columns are both the dimensions used, as well as additional measures. Depending on the type of data entered in any row, a specific subset of the columns needs to be filled.
 Note
The row types are qualified exactly by columns filled or not filled. It is critical that for each row type, exactly the required columns are completed correctly. It is recommended to start off with an exported data set,

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just to get the correct columns filled per row, and from there to transform the XLSX into the format required for input. Do not include any extra rows into the XLS, as this data will also be imported, and will cause severe errors in the model.
The first block of rows (in the example XLSX shipped), describes completely the product structures. Three different row types are defined to describe a product.
 Note
For the three row types, the Date is hard-coded to be 001.2020.
 Any number of rows for Raw Materials: These rows describe the raw materials used in the specific product.  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_FI_BPL_COMPONENTPLANT, SAP_ALL_MATERIAL, SAP_FI_BPL_COMPQUANTITY_UNIT  Measures: QuantityPerProductLotSize
 Any number of rows for Activities: These rows describe the activities in the production steps used to produce the product. Typical would be specify for example, time used on a specific production machine.  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_ALL_COSTCENTER, SAP_FI_BPL_CCACTIVITYTYPE, SAP_FI_BPL_COMPQUANTITY_UNIT  Measures: QuantityPerProductLotSize
 One row for Production Lot Size Description: this row describes the lot size of the product that is produced in one batch, for which the raw materials and activities above are the input. In addition, the "shadow" carbons costs for CO2e are defined per product per plant. This is the cost factor used to compute monetary value for total CO2e.  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_FI_BPL_LOTSIZE_UNIT  Measures: ProductLotSize, CarbonCostPerBaseQuantity
The second block of rows are the sales quantities per product per time unit. Here the Date field reflects the exact time unit for the sales quantities.
 Dimensions: Date, SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_ALL_PROFITCENTER, SAP_FI_BPL_SALESQUANTITY_UNIT
 Measures: SalesQuantity
The next block of rows describes the different inputs required in each CO2e category. Depending on the CO2e category, the "key" of each row may be a finished product, a raw material, or an activity. In total, there are four groups of values gathered. In all cases the Date column is hard coded to 001.2020.
 One row per Purchased Goods for the CO2e base value: These rows describe the CO2e values for each raw material used over all products.  Dimensions: Date (=001.2020), SAP_FI_BPL_COMPONENTPLANT, SAP_ALL_MATERIAL, SAP_FI_BPL_COMPQUANTITY_UNIT, SAP_C21_ANA_CO2ECATEGORY (=PURCHASED_GOODS)  Measures: CO2eBaseQuantity (=1), CO2ePerBaseQuantity
 One row per Inbound Transportation for the CO2e base value: These rows describe the CO2e values for each raw material used over all products.  Dimensions: Date (=001.2020), SAP_FI_BPL_COMPONENTPLANT, SAP_ALL_MATERIAL, SAP_FI_BPL_COMPQUANTITY_UNIT, SAP_C21_ANA_CO2ECATEGORY (=INBOUND_TRANSPORTATION)  Measures: CO2eBaseQuantity (=1), CO2ePerBaseQuantity

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 One row per Activity for the CO2e base values of Purchased Energy: These rows describe the CO2e values for each activity step used over all products.  Dimensions: Date (=001.2020), SAP_ALL_COSTCENTER, SAP_FI_BPL_CCACTIVITYTYPE, SAP_FI_BPL_COMPQUANTITY_UNIT, SAP_C21_ANA_CO2ECATEGORY (=PURCHASED_ENERGY)  Measures: CO2eBaseQuantity (=1), CO2ePerBaseQuantity
 One row per product per plant for Direct Emissions: These rows describe the additional direct emission CO2e values from the production per product per plant.  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_FI_BPL_LOTSIZE_UNIT, SAP_C21_ANA_CO2ECATEGORY (=DIRECT_EMISSIONS)  Measures: CO2eBaseQuantity (=1), CO2ePerBaseQuantity
 One row per product per plant for Outbound Transportation: These rows describe the CO2e values from the production per product per plant caused by outbound transportation.  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_FI_BPL_LOTSIZE_UNIT, SAP_C21_ANA_CO2ECATEGORY (=OUTBOUND_TRANSPORTATION)  Measures: CO2eBaseQuantity (=1), CO2ePerBaseQuantity
 One row per product per plant for Overhead: These rows describe the CO2e values that cannot be allocated to one of the other CO2e categories.  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_FI_BPL_LOTSIZE_UNIT, SAP_C21_ANA_CO2ECATEGORY (=OVERHEAD)  Measures: CO2eBaseQuantity (=1), CO2ePerBaseQuantity
The final block of rows describes possible unit of measure conversions for each product.
  Dimensions: Date (=001.2020), SAP_ALL_COMPANY_CODE, SAP_ALL_PLANT, SAP_ALL_PRODUCT, SAP_FI_BPL_LOTSIZE_UNIT, SAP_FI_BPL_SALESQUANTITY_UNIT
 Measures: CO2eBaseQuantity (=1), SalesQuantityUnitFactor, LotSizeUnitFactor
 Note
The Date is hard-coded to be 001.2020 and the value "1" for CO2eBaseQuantity must not be changed.
2.54.8.2 Data Exporting
To download data, go to the Maintenance Story (refer to Known Issues and Restrictions) and select the Detailed Information tab. This tab shows the complete data model with all relevant data gathered into one display table.
Select any cell in the table, to activate the More Actions menu for the table. Select Export. For the export itself, it is recommended to set filetype to XLSX. Depending on use case, decide to include formatting or not.
 Note
If the data will be (partially) imported back into SAP Product Carbon Footprint Analytics, it is recommended to not set the checkbox to include formatting and indent hierarchy.

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2.54.8.3 Data Importing
For data importing, the XLSX format must be so defined that it matches the model used for SAP Product Carbon Footprint Analytics exactly. For this, a reference XLSX is available within the product folder on SAP Analytics Cloud. The path is My Files/Public/SAP_Content/ SAP_C21_Product_Carbon_Footprint_Analytics. The data in the XLSX must be prepared for importing in exactly the format as described above (refer to Data Maintenance Template [page 497]).
 Note
The data exported from SAP Analytics Cloud will not match this format by default. The exported data contains some additional columns, e.g. for descriptions to make the data easier to interpret and process. These columns must not be in the XLSX to be uploaded and needs to be deleted. In addition, the headers read differently and may therefore not be automatically matched during the upload process. For uploading data, it is therefore strongly recommended to copy any downloaded data row-wise or block-wise into the reference XLSX provided, while ensuring that the structure of the reference is kept.
Please also note that rows will need to be filled completely in order to avoid problems during upload or even risk data corruption. This means, all fields of a specific row type that are filled in the template will also need to be filled in any uploaded row of data of the same row type.
The Data importing itself is done via the model (SAP__C21_ANA_IM_CO2EPRODUCT). Within the model, select Data Management and then the option "Import Data".

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After the XLSX has been uploaded, select it and look at the data wrangling. If the imported XLSX format matches template, columns are typically automatically matched, and no data wrangling is required. Still, in certain cases the matching heuristics may fail, so it is recommended to verify correctness of the matching before importing and update the mapping manually if needed (refer also to the appropriate sections regarding data uploading of the general SAP Analytics Cloud documentation).
In most cases, the import will be completed in Update mode, where the existing model and version is updated. It is important to note, however, that this may overwrite previously maintained data row, and in case data in the XLSX file to be uploaded is not specified correctly, this may even lead to corrupt data in extreme cases. It is therefore recommended to do a test import into a separate data version first, by using "Clean and replace selected data" option and selecting a different or even a new version. Only after a successful to review the import should be repeated in "Update" mode into the "Actuals" version. For productive use, the upload should be imported into the "Actual" version. This is also the data version to which all stories of SAP Product Carbon Footprint Analytics point by default.

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After ensuring that all settings are correct, press the button "Finish Mapping" as a final step to trigger the data import.

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2.54.9 Overview of CO2e Computational Steps
This section will describe how, conceptually, CO2e footprint calculation is performed in SAP Product Carbon Footprint Analytics. The starting point for computing the CO2e emissions is the actual raw materials used in the product (based on the S/4HANA Bill of Materials) and the production steps (based on the S/4HANA Routings/Recipes). These values are retrieved from S/4HANA for all products. Of importance here is that production is specified scaled to a product lot size. The amount and unit of a product lot size is replicated from S/4HANA together with the rest of the quantity structure of that product, which contains the exact list of raw materials that are used as well as the different activities in the production process. After a successful replication from S/4HANA, the retrieved quantity structures can be inspected in the Quantity Structures tab of the Maintenance Story (refer to CO2e Emissions Data Maintenance (SAP__C21_ANA_CO2EDATAMAINTENANCE) [page 494]).
In this example, to produce a lot size of 12 cartons of cinnamon cookies, the required raw materials and processing steps are listed. Note that the product production is tied to a specific plant. For all raw materials used in all products, for a specific production plant, the CO2e base values must be specified. This enables at a later stage the computation of CO2e values per product for the relevant raw materials used in the product.

Similarly, for the energy used in the different activities of the production process, the CO2e values needs to be specified per activity.

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For the production process, it is also possible that CO2e is produced in the production process itself. This CO2e can be measured, for example, at the chimney of the factory, and then would apply to all products been produced at the specific plant. If a measurement for direct emissions is available, this measurement needs to be broken down over a specific time period into the quantities of each product produced within that period at the plant, and from this, a CO2e value for direct emissions for the production of a product in the displayed unit of measure can be computed and entered. Alternatively, direct emissions may be derived/calculated from process knowledge in other cases.
Similarly, the CO2e caused by outbound transportation must be computed, or estimated, separately for each product. In this calculation, the transportation methods should be considered, distances travelled, number of product units per transport, distances travelled and then the CO2e used for overall transportation. From this, an average CO2e value can be computed per product.

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Based on the quantity structure and the CO2e specification for raw materials and activity steps, plus the CO2e values for direct emissions and outbound transport, the overall product level CO2e emissions are calculated by simple multiplication and summation. This is effectively the CO2e values for the production per one lot size and, appropriately scaled, one product unit.

Once this CO2e values are computed per product produced, the next step is to look at the actual sales quantities for a specific product. These are sales quantities per month. However, important is that the sales quantity units of measure are not always equivalent to the product lot size unit of measure. In this case, the values entered for Unit Conversions are used to match the numbers in the same base unit (the product lot size unit).

Based on the values for CO2e per product multiplied with the sales quantities in a month, the total CO2e produced for a product is computed.

These computed numbers are then visualized in the monitoring story, allowing detailed analysis per product and/or per plant.

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2.55 SAP SuccessFactors Workforce Planning (SAP Best Practices)
2.55.1 SAP Best Practices for SAP SuccessFactors Workforce Planning (SAP Best Practice)
Strategic Workforce Planning is a scenario-based approach to predict workforce demand, supply, gap and cost and develop a five year workforce strategy. Operational Headcount Planning is a job classification or positionbased yearly planning of headcount for hires, terminations, transfers and cost. Find the details and documentation about this scope item in SAP Best Practices Explorer - SAP SuccessFactors Workforce Planning .
2.56 SAP Qualtrics Customer Satisfaction Score (CSAT)
2.56.1 Architecture and Abstract
Customer satisfaction (CSAT) helps you understand the relationship your customers have with your brand or product. The Qualtrics survey for CSAT focuses on understanding customers' experiences at key moments in the customer journey. This content is built based on excel export of results for a Qualtrics survey based on XM Solution Automated Project CSAT. Architecture

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2.56.2 Stories
SAP Qualtrics: Customer Satisfaction (SAP__CRM_SURVEY_CSAT) The story does an in-depth analysis of a Qualtrics standard CSAT survey. There are 4 pages which are explained in further chapters.

Overview:
Get a total overview of your CSAT survey for selected products, be it trend of your survey responses and CSAT, geographical and demographical results, likelihood of purchase, willingness to recommend and understanding of negative comments.

Attributes:
Get into the details of all attributes addressed in your survey to analyse the satisfaction level and importance given to them by your survey respondents.

Details:
Get further insights into your survey results by analyzing customer service engagement and all details on demographical responses.

Adhoc Analysis:
Freely analyse the responses based on measures and dimensions of your choice.

2.56.2.1 Customer Satisfaction (SAP__CRM_SURVEY_CSAT)

Measure Name Customer Service Contacted
Customer Service Contacted?

Type Restricted Measure
Calculated Measure

Formula/Properties
Responses where Contacted Customer Service? = yes
[#Customer Service Contacted]/ ["SAP__CRM_SURVEY_IM_CSAT GEN":recipientCount]

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Measure Name Follow-up OK Follow-up OK?
Resolved to Satisfaction
Issue Resolved to Satisfaction?

Type Restricted Measure Calculated Measure
Restricted Measure
Calculated Measure

Formula/Properties
Responses where Followup OK? = yes
[#Follow-up OK] /["SAP__CRM_SUR VEY_IM_CSATGEN":recipientCount]
Responses where Resolved to satisfac tion?= yes
[#Resolved to Satisfaction]/[#Cus tomer Service Contacted]

2.56.3 Models
The data source for the models is the project created based on standard CSAT template which is part of XM Solution Automated Projects. Step-by-Step guide for uploading Qualtrics data into this content

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Create your project based on Qualtrics standard template for CSAT e.g SAP Analytics Cloud Business Content CSAT

 If you want to use an embedded field in the survey so that it can be associated with other scenarios like product, then add the embedded field embeddedfield1 to your survey
 Create a connection to Qualtrics as mentioned in SAC documentiation.  Use the importing data into an Exisiting model for Qualtrics basic steps provided in the Procedure section.

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2.56.3.1 Customer Satisfaction (CSAT) (SAP__CRM_SURVEY_IM_CSATGEN)
This is the primary model for CSAT. All information apart from attribute specific questions are stored here. The other models are linked to this model in the story using ResponseId as linked dimension. Query Builder has the following selections: Drag both the folders from Available Data into Selected Data section and then remove the highlighted questions from the Selected Data section.

Delete the first row in the data wrangling page.

Model Name: SAP__CRM_SURVEY_IM_CSATGEN

 Model Description: SAP Qualtrics: Customer Satisfaction (CSAT)  Planning Enabled: No

Account Dimension ID

Description

Duration_in_seconds Progress Q52 recipientCount

Duration (in sec) Progress Age Responses

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Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C) M: Duration_in_seconds M: Progress M:Q52 C: 1 (step1.b in Further Information sec tion)
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Model Name: SAP__CRM_SURVEY_IM_CSATGEN

Connection

avgAge

Average Age

F: [Q52]/[recipientCount]

avgResponseDuration

Average Response Duration

F:[Duration_in_seconds]/[recipient Count]

CSAT

CSAT

F:([satisfiedCount] /[recipientCount]) *100

satisfiedCount

Satisfied Count

F:LOOKUP([recipientCount],[d/ Q16]=("12","11"))

surveyCompletionRatio

Survey Completion Ratio

F:[surveysCompleted]/[recipient Count]

surveysCompleted

Surveys Completed Count

F:LOOKUP([recipientCount] ,[d/ Finished]="1" )

willingToPurchase

Willing To Purchase

F:LOOKUP([recipientCount] ,[d/ Q20]=( "4","5") )

willingToPurchaseRatio

Willing To Purchase

F:[willingToPurchase]/[recipientCount]

willingToRecommend

Willing to Recommend

F:LOOKUP([recipientCount] ,[d/Q21] =("5","6") )

willingToRecommendRatio

Willing to Recommend

F:[willingToRecommend]/[recipient Count]

Dimensions

Name

Description

Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C)

Status

Status

M:Status

IPAddress

IPAddress

M:IPAddress

Finished

Finished

M: Finished

ResponseId

ResponseId

M: ResponseId

RecipientLastName

RecipientLastName

M:RecipientLastName

RecipientFirstName

RecipientFirstName

M:RecipientFirstName

RecipientEmail

RecipientEmail

M: RecipientEmail

ExternalReference

ExternalReference

M: ExternalReference

DistributionChannel

DistributionChannel

M: DistributionChannel

UserLanguage

UserLanguage

M: UserLanguage

Q56_9_TEXT

Employment Status- other text

M: Q56_9_TEXT

Q58

Gender

M:Q58

Q60

Marital Status

M:Q60

Q74

Zip Code

M:Q74

Q63

Frequency of use

M:Q63

Q17

Contacted customer service?

M:Q17

Q19

Why customer support not contacted? M:Q19

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Model Name: SAP__CRM_SURVEY_IM_CSATGEN

Connection

Q20

Purchase again?

M:Q20

Q21

Recommend product?

M:Q21

Q22

Comments

M:Q22

Q23

Followup OK?

M:Q23

Q25

Followup email

M:Q25

embeddedfield1

embeddedfield1

M: embeddedfield1

StartDate

StartDate

M:StartDate

EndDate

EndDate

M:EndDate

RecordedDate

RecordedDate

M:RecordedDate

Q54

Education

M:Q54

Q56

Employment Status

M:Q56

Q16

Overall satisfaction

M:Q16

Q18

Resolved to satisfaction?

M:Q18

Q30

Income

M:Q30

GEO_DIM_Location

Location

W:LocationLatitude , LocationLongitude (map LocationLatitude to Geo Latitude and LocationLongitute to Geo Longi tude)

* Please note that you don't need to have all the fields in your survey. If a field is not available in your survey, then map the dimension in the model to #.

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The mapping summary as seen in the data management tab for the selected import job.

2.56.3.2 Customer Satisfaction Rating (SAP__CRM_SURVEY_IM_CSATRATING)
This model stores the satisfaction scores for attributes.

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Query Builder has the following selections

Delete the first row in the data wrangling page.

Model Name: SAP__CRM_SURVEY_IM_CSATRATING

 Model Description: SAP Qualtrics: Customer Satisfaction Rating  Planning Enabled: No

Account Dimension ID

Description

counter

counter

CSAT Satisfied count

CSAT Satisfied count

Dimensions Name

Description

ResponseId KEY

ResponseId Attribute

Value

Rating

Connection Excel import based on Qualtrics CSAT Standard Template
Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C) C: 1 (step1.b in Further Information sec tion) F: ([satisfiedcount]/[counter]) *100 F:LOOKUP([counter] ,[d/ VALUE]=("4","5") )
Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C) M:ResponseId Follow step 1.a-c of the Further informa tion section. Then map KEY to Attribute Subsequently map value to Rating

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The mapping summary as seen in the data management tab for the selected import job.

2.56.3.3 Customer Satisfaction Importance (SAP__CRM_SURVEY_IM_CSATIMPORTANCE)
This model stores the importance for attributes.

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The mapping summary as seen in the data management tab for the selected import job.

Delete the first row in the data wrangling page.

Model Name: SAP__CRM_SURVEY_IM_CSATIMPORTANCE

 Model Description: SAP Qualtrics: Customer Satisfaction Importance  Planning Enabled: No

Account Dimension ID

Description

counter

counter

Dimensions Name

Description

ResponseId KEY

ResponseId Attribute

Value

Rating

Connection Excel import based on Qualtrics CSAT Standard Template
Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C) C: 1 (step1.b in Further Information sec tion)
Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C) M:ResponseId Follow step 1.a-c of the Further informa tion section. Then map KEY to Attribute Subsequently map value to Rating

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The mapping summary as seen in the data management tab for the selected import job.

Further information:
1. For filling models SAP__CRM_SURVEY_IM_CSATRATING and SAP__CRM_SURVEY_IM_CSATIMPORTANCE you need to unpivot the data. The following steps explain how. 1. In the wrangling screen for importing data, retain the columns: 1. ResponseId 2. Q14_1 to Q14_7 for SAP__CRM_SURVEY_IM_CSATRATING 3. Q15_1 to Q15_7 for SAP__CRM_SURVEY_IM_CSATIMPORTANCE

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2. Create a calculated column named counter with value 1 3. Unpivot the Q.. columns

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You should now have your fact table look like this.

Here's a blog on Best Practices for using the Qualtrics Connector.

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2.57 SAP Qualtrics Surveys (QUALTRICS) 2.57.1 Architecture and Abstract
Qualtrics provides various survey capabilities. This content is built based on data extracted from Qualtrics. It analyses the distribution and completion of surveys.
Architecture
The building blocks are as shown.

The survey distribution excel should be downloaded from Qualtrics and the columns should be mapped to the model mentioned in the coming model section.
2.57.2 Stories
SAP Qualtrics: Survey Distribution Analysis (SAP__CRM_SURVEY_DISTRIBUTION) For a selected set of surveys, this story provides the KPIs for delivery of the surveys, audience information, and completion of received surveys.

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2.57.2.1 Survey Distribution Analysis (SAP__CRM_SURVEY_DISTRIBUTION)

Measure Name Completion Rate Audience Size Responses Surveys Sent

Type Calculated Measure Restricted Measure Calculated Measure Calculated Measure

Formula/Properties Survey Competed/ Survey Started Count Dimension (Response ID) Survey Completed Audience Size

2.57.3 Models 2.57.3.1 Survey Distribution (SAP__CRM_SURVEY_IM_DIST)

Model Name: SAP__CRM_SURVEY_IM_DIST

- Model Description: SAP Qualtrics: Survey Distribution

- Planning Enabled: No

Account ID

Description

Bounced Completed_D_41193d3kr4

Bounced Completed Hour

Completed_D_7302c05z62

Completed Minute

Connection
- Import from excel
Mapping(M)/Formula(F)/Wran gling(W)/Calculated Coulmn(C) M: Excel W: Duplicate [Completed Date (+00:00 GMT)]-> Split into 2 columns on"." -> Split [Completed Hour] into 2 columns on ":" -> Replace empty with "0" in [Completed Hour] W: Duplicate [Completed Date (+00:00 GMT)]-> Split into 2 columns on" " >Replace empty with "0" in [Completed Minute] ->Split [Completed Minute] into 2 columns on ":"

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Completion_Time

Completion Time (min)

Opened Started_Dat_295p1j0k12

Opened Started Minute

F:
IF(DateDiff([Completed Date (+00:00 GMT)],
[Started Date (+00:00 GMT)],
"Day"
)>0,IF([Started Hour]>[Completed Hour] or [Started Hour]=[Completed Hour] and [Started Minute]>[Com pleted Minute],
DateDiff([Completed Date (+00:00 GMT)],
[Started Date (+00:00 GMT)],
"Day"
)1,DateDiff([Completed Date (+00:00 GMT)],[Started Date (+00:00 GMT)],"Day")),0)*1440+IF([Started Hour]>[Completed Hour],
24+[Completed Hour]-[Started Hour]-1,
IF([Started Minute]>[Completed Mi nute],
[Completed Hour]-[Started Hour]-1,
[Completed Hour]-[Started Hour]
)
)*60+IF([Completed Minute]-[Started Minute]<0,
60+[Completed Minute]-[Started Mi nute],
[Completed Minute]-[Started Minute]
)
M: Excel
W: Duplicate [Started Date (+00:00 GMT)]-> Split into 2 columns on" " >Replace empty with "0" in [Started Mi nute] ->Split [Started Minute] into 2 columns on ":"

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Started_Dat_3n2h3x1s6t
Survey_Completed Survey_Started Date Name Send_Date_0000_GMT Started_Date_0000_GMT Completed_D_6kv4d0223s Opened_Date_0000_GMT Dimensions Name
Survey_ID Distribution_ID Distribution_Type Recipient_ID Address First_Name Last_Name External_Da_664s5605t7 Distribution_Channel Address_2_2
BouncedYN

Started Hour
Survey Completed Survey_Started
Description Send Date (+00:00 GMT) Started Date (+00:00 GMT) Completed Date (+00:00 GMT) Opened Date (+00:00 GMT)
Description
Survey ID Distribution ID Distribution Type Recipient ID Address First Name Last Name External Data Reference Distribution Channel Address Domain
Bounced YN

W: Duplicate [Started Date (+00:00 GMT)]-> Split into 2 columns on"." -> Split [Started Hour] into 2 columns on ":" -> Replace empty with "0" in [Started Hour] M: Excel M: Excel
Mapping M: Excel M: Excel M: Excel M: Excel
Mapping(M)/Wrangling(W)/Calculated Column(C) M: Excel M: Excel M: Excel M: Excel M: Excel M: Excel M: Excel M: Excel M: Excel W: Duplicate [Address]-> Split into 2 columns on"@" -> Split into 2 columns on "."
F: IF([Bounced]=0, 'No', 'Yes' )

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Survey_StartedYN

Survey Started YN

Survey_CompletedYN

Survey Completed YN

Day_of_Week__Send_Date

Day of Week - Send Date

Day_of_Week_Started_Date

Day of Week- Started Date

 Note
* All the dimensions are local.

F: IF([Survey Started]=0, 'No', 'Yes' )
F: IF([Survey Completed]=0, 'No', 'Yes' )
F: DAYOFWEEK([Send Date (+00:00 GMT)])
F: DAYOFWEEK([Started Date (+00:00 GMT)])

2.58 SAP Qualtrics Touchpoint NPS (T-NPS)
2.58.1 Architecture and Abstract
In this package, one can analyse the touch point NPS surveys provided through different touchpoints via different surveys in conjunction with operational data from C4C Sales and Service and additional experience data from CSAT Surveys. This content is a showcase of how SAP Analytics Cloud can be used to derive helpful insights by analysis Experience and Operational data together. You can find a video and blog for this content.

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Architecture

In this package several other packages are referenced to bring together C4C and Qualtrics models and stories together.
2.58.2 Stories
SAP Qualtrics: Sales and Service Touchpoint NPS (SAP__QUAL_NPS_TOUCHPOINTNPS) In this story we are looking at several operational KPIs from Sales and Services like Opportunity win ratio, tickets by status and priority etc. All KPIs are filtered by customers. Through NPS surveys at various touchpoint channels, we can track the sentiment at various points of the customer journey. Additionally, a CSAT survey tracks the overall customer satisfaction score.

Overview

Using linked analysis, it is possible to understand the relation between all involved aspects like CSAT influence on Revenue or relation between NPS and all other KPIs for a customer.

KPI Revenue Won

Navigation SAP C4C: Sales Performance Teaser

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KPI Tickets Created CSAT Touchpoint NPS across channels

Navigation SAP CRM: C4C Service Cloud - Service Performance SAP Qualtrics: Customer Satisfaction Touchpoint NPS page of current story

Here's a list of charts with hyperlink navigation.
Here we see the operational and experience KPIs together. For several KPIs there is a possibility through story hyperlink to navigate to stories that elaborate on the them.

Touchpoint NPS
Get into the details of Touchpoint NPS by Touchpoint channel with predictive trends. The sentiments, topics, parent topics associated with responses can be analysed here and one to drill into the level of individual responses. All this can be grouped by associated customer.

Sentiment Score Influencers and Sentiment Score Simulations
These 2 pages are generated out of the Smart Discovery feature with the use of machine learning, smart discovery analyses the key influencers for the measure Sentiment Score and provides a debriefing. In the Simulations section, it is possible to simulate different scenarios by varying the values of different influencers.

2.58.3 Models
The next chapter provides the detailed information about the Model used in the package.

2.58.3.1 Touchpoint NPS (SAP__QUAL_NPS_IM_TOUCHPOINTNPS)

Model Name: SAP__QUAL_NPS_IM_TOUCHPOINTNPS

Model Description: SAP Qualtrics: Touchpoint NPS Planning Enabled: no

Account Dimension

ID

Description

count

responses

Connection Qualtrics Connector
Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C) C: 1 (step1.b in Further Information sec tion)

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Model Name: SAP__QUAL_NPS_IM_TOUCHPOINTNPS

Connection

DetractorCount

Detractor Count

F: LOOKUP([count] , [d/ NPSGroup]="1" )

NPS

NPS

F: ([PromoterCount] -[Detractor Count])/[count] *100

PromoterCount

Promoter Count

F:LOOKUP([count],[d/NPSGroup]="3")

SentimentScore

SentimentScore

M: SentimentScore

Dimensions

Name

Description

Mapping(M)/Formula(F)/Wran gling(W)/Calculated Column(C)

ResponseId

ResponseId

M: ResponseId

NPSGroup

NPSGroup

Explanation below

NPSFreetext

Freetext

Touchpoint

Touchpoint

Topics

Topics

Parent_Topics

Parent Topics

ExternalID

embeddedfield1

Sentiment

Sentiment

RecordedDate

RecordedDate

M:RecordedDate

GEO_DIM_Location

Location

W:LocationLatitude , LocationLongitude (map LocationLatitude to Geo Latitude and LocationLongitute to Geo Longi tude)

* Please note that you don't need to have all the fields in your survey. If a field is not available in your survey, then map the dimension in the model to #.

Here are some guidelines on how to fill this model:
 This model can be fed by responses from different survey about touchpoint NPS. The surveys may have any information but only fields relevant that the survey must have
 An NPS field and a text field to comment on the NPS as shown below.

 You may either use the XM Solution Touchpoint NPS or make your own survey with these 2 fields included.

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 When this survey is consumed with the Qualtrics connector, then in the Query Builder select the 2 fields along with metadata fields as mentioned in the table below.

 Once the query is created, in the wrangling screen some additional fields are generated. Here is the explanation for mapping these fields: NPSGroup

 For NPS type fields, an NPS Group is generated.  Map this NPS group to the model's NPSGroup dimension.

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 If TextIQ is run for the survey, then for the text field, several additional fields are generated. Some of these fields should be mapped to the model's dimensions.

Freetext Map to the text field of the survey (Q57 for example here) Topics Map the Topics dimension in the model to the topics column. If there are more than 1 values in a column, only the first one should be taken for analysis. To do this, use the Split functionality.
Parent Topics  Handle in a similar way to Topics.  Sentiment - Map to the sentiment column  Sentiment score (measure) - Map to sentiment score Touchpoint  If you have different surveys for different touchpoints, then this model can be loaded with data from those
surveys. To identify the type of touchpoint, in the survey, provide an embedded field with this information.  Name the embedded field Touchpoint and provide information on the type of touchpoint (E.g., Chatbot,
Email...)

embeddedfield1
Use another field of embedded data in your survey to pass customer name to a survey. This information can be leveraged in SAC where this dimension is used to link with other models on customer as common dimension.

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2.59 SAP - Travel & Expense (TE) - Concur
2.59.1 Architecture and Abstract
Abstract
The SAP Concur Travel Expense dashboard provides comprehensive insights on travel expense, i.e.
 Expense KPIs: Travel expense actuals year-to-date and delta compared to budget and previous years. Drill-down by business area and country. KPIs such as due payments, credit card adoption rate and average report expenses. Visualization of budget consumption thresholds. Detailed analysis of average days between Report Process Steps such as trip start to report creation, to submission to payment, Flexible visualization of top reports with max days between different process steps
 Expense Analysis: Detailed break-down and filtering of expenses by multiple dimensions such as program/project, business area, spend categories, payment type, vendor or time of transaction. Ability to set KPI thresholds. Predictive forecast in time series chart for expenses. Insights based on approval status and exceptions, average & total amounts claimed vs. approved. Top spenders and reports including all related expense report entries.
 Dynamic Visualizations: Responsive dashboard pages with flexible dynamic time range filter and enhanced data slicing using Period range slider. Built-in currency conversion and flexible visualization of multiple currencies in all charts. Multiple device support for iPhone and iPad that can be used with the SAP Analytics Cloud iOS app.Detailed break-down and filtering of expenses by multiple dimensions such as program/project, business area, spend categories, payment type, vendor or time of transaction. Ability to set KPI thresholds. Predictive forecast in time series chart for expenses. Insights based on approval status and exceptions, average & total amounts claimed vs. approved. Top spenders and reports including all related expense report entries.
 Expense Planning: Expense Budget Planning on program/project hierarchies with budget distribution capabilities and tracking of actual-budget deviations. Additional threshold visualization.
Architecture
The story leverages travel expense data acquired from SAP Concur via the standard SAP Concur connector in SAP Analytics Cloud. The data source provides two object types, i.e. Expense Report and Expense Report Entries. These object types correspond with two models in SAP Analytics Cloud which are consumed in the

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story.

The Concur models SAP__TE_GEN_IM_EXPENSEREPORT and SAP__TE_GEN_IM_EXPENSEENTRY are linked with a preconfigured connection that can be re-pointed to your own Concur tenant by entering the missing credentials. With this you can replace the demo data with your own data:
 Go to |Menu|Connection, select the connection "Concur Tenant (Data acquisition via Concur API connector)" and edit the connection parameters Key and Secret as provided by your Concur web service administrator (See help center topic "Import Data Connection to Concur").
 To import data into the models, go to |Menu|Browse|Files|Public|Models, open the respective model, click on 'Data Management', select the predefined Import Job 'Concur Tenant' and click on 'Refresh Now' to start the import via the "Concur Tenant' connection. You can edit the import options and the schedule settings by clicking on the respective icon in the toolbar. It is recommended to use the import method Clean and Replace.
 After importing data into all relevant models, your data will be visible in the story. As your Concur tenant might have different org unit and custom fields or different payment types etc., some charts might not show something meaningful at first hand. In this case, you can re-design the charts accordingly by selecting dimensions or filters fitting to your data. The expense models are using the currency conversion table SAP_TE_CURRENCY.

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2.59.2 Dashboard

SAP__TE_Dashboard Root Topic Name Travel Expenses

Topic Level 1 name Overview Planning Spending Reports Entries Per Report Process Runtime

Topic Level 2 name

Topic Level 3 name

2.59.3 Stories
The story used for obtaining insights is: SAP Concur Travel Expenses (SAP__TE_GEN_TRAVELEXPENSE)

2.59.3.1 SAP Concur Travel Expenses (SAP__TE_GEN_TRAVELEXPENSE)

Title: SAP__TE_GEN_TRAVELEXPENSE Description: SAP Concur Travel Expenses Provides KPIs, overview and insights on travel expenses and allows to do budget planning

Story Filter: Allows dynamic selection of year to give users flexibility in visualization.
 Dynamic Filter  Look Back: 0  Look Ahead: 0  Granularity: Year  Current Date Input Control: Year  Current Date Type: Custom Current Date/Period  Granularity: Year
Page: Overview
Type: Responsive

Charts Title

Models Used

Navigate to

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Title: SAP__TE_GEN_TRAVELEXPENSE

Key Indicators

 SAP__TE_GEN_IM_EXPENSEREPORT  SAP__TE_GEN_IM_EXPENSEENTRY

Provides the following KPIs for dynamic time period:
 Expenses  Budget   Previous Period  Due Expenses  Due to Employee  Due to Employee  Due Company Credit Card  Average Report Expense  Corporate Credit Card Adoption

Expenses per Period - SAP__TE_GEN_IM_ EXPENSEREPORT Actuals vs Budget
How are expenses vs budget compared to previous years?
Expenses by Country SAP__TE_GEN_IM_ EXPENSEREPORT
What is the share of expenses per country over time?
Expenses per Business SAP__TE_GEN_IM_ EXPENSEREPORT Unit - YTD vs. Previous Year
Which business units spend how much compared to last year?
Expenses, Number and SAP__TE_GEN_IM_ EXPENSEREPORT Average Report per Business Unit
On average, which business units spend more / have more expense reports?
Page Filters/Input Control

 Type of Filter: Dynamic  Type of Filter: Dynamic  Type of Filter: Dynamic  Current Date: Year (as created in story filter)  Granularity: Year  Look Back: 0  Look Ahead: 0

Page: Planning

Type: Responsive

Charts

Title

Models Used

Expense Budget Plan SAP__TE_GEN_IM_EXPENSEREPORT ning

Navigate to

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Title: SAP__TE_GEN_TRAVELEXPENSE

Allows to assign budget per program / project / period

Actual vs Budget per Program / Project

SAP__TE_GEN_IM_EXPENSEREPORT

How are expenses vs budget in selected year per program?

Page Filters/Input Control

 Type of Filter: Dynamic  Current Date: Year (as created in story filter)  Granularity: Year  Look Back: 0  Look Ahead: 0

Page: Spending

Type: Responsive

Charts

Title

Models Used

Navigate to

Expenses per Spend Category

SAP__TE_GEN_IM_ EXPENSEENTRY

What are the major categories of spending?

Top Vendors

SAP__TE_GEN_IM_ EXPENSEENTRY

Which vendors is most spent with?

Expense Transactions SAP__TE_GEN_IM_ EXPENSEENTRY over Time

When do expenses occur? What amount was spent? This chart also provides a predictive forecast.

Share of Expenses per SAP__TE_GEN_IM_ EXPENSEENTRY Payment Type

Which payment types are mainly used?

Page Filters/Input Control

 Type of Filter: Dynamic  Current Date: Year (as created in story filter)  Granularity: Year  Look Back: 0  Look Ahead: 0

Page: Reports Type: Responsive Charts Title Key Indicators

Models Used
SAP__TE_GEN_IM_EXPENSEREPORT SAP__TE_GEN_IM_ EXPENSEENTRY

Navigate to

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Title: SAP__TE_GEN_TRAVELEXPENSE

Provides the following KPIs:
 Total Reports  Spenders  Reports Extracted for Payment  Unpaid Reports  Approvers  Delta Approved vs. Claimed

Expense Reports per Approval Status

SAP__TE_GEN_IM_EXPENSEREPORT

How many reports are in which lifecycle stage?

Average Claimed and Approved Amount per Ap SAP__TE_GEN_IM_EXPENSEREPORT prover

Who approves how much on average / compared to claimed on average?

Top Spenders by Claimed Amount

SAP__TE_GEN_IM_EXPENSEREPORT

Which employee spends the most amount of money for business trips?

Top Reports by Claimed Amount

SAP__TE_GEN_IM_EXPENSEREPORT

Which are the most expensive reports, ranked by claimed amount?

Page Filters/Input Control

 Type of Filter: Dynamic  Current Date: Year (as created in story filter)  Granularity: Year  Look Back: 0  Look Ahead: 0

Page: Entries Per Report

Type: Responsive

Charts

Title

Models Used

Top Average Spenders

SAP__TE_GEN_IM_EXPENSEREPORT

Which employees spend most on Business Trips on average?

Ever Sent Back

SAP__TE_GEN_IM_EXPENSEREPORT

How many reports were sent back?

Required Images Available

SAP_TE_GEN_IM_EXPENSEENTRY

How many entries are without an image attached?

Have Exceptions

SAP_TE_GEN_IM_EXPENSEENTRY

How many entries have an exception?

Top Reports by Claimed Amount

SAP__TE_GEN_IM_EXPENSEREPORT

Which are the highest reports?

Entries

SAP_TE_GEN_IM_EXPENSEENTRY

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Title: SAP__TE_GEN_TRAVELEXPENSE

What does the report look like in detail? What did the employee spend money on? Page Filters/Input Control

 Type of Filter: Dynamic  Current Date: Year (as created in story filter)  Granularity: Year  Look Back: 0  Look Ahead: 0

Page: Process Runtime Type: Responsive Charts Title Key Indicators

Models Used SAP__TE_GEN_IM_EXPENSEREPORT

Provides the following KPIs:

Average Days Between Report Process Steps
 Report Date to Submission  Submission to Approval  Approval to Payment  Report Date to Payment

Days Between (Measure Input Control) Per Pe SAP__TE_GEN_IM_EXPENSEREPORT riod

How many days are taken between different process steps per period?

Top Reports with Max Days Between(Measure Input Control)

SAP__TE_GEN_IM_EXPENSEREPORT

Which reports take the most days between different process steps of an expense cycle?

Page Filters

 Type of Filter: Dynamic  Current Date: Year (as created in story filter)  Granularity: Year  Look Back: 1  Look Ahead: 0

Input Control Business Unit (Org Unit 4) Measure Input Control

Navigate to

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Title: SAP__TE_GEN_TRAVELEXPENSE
Select Measures:
 Submission to Payment  Report Date to Creation  Report Date to Submission  Creation to Submission  Report Date to Paid Date  Submission to Approval  Approval to Payment

2.59.3.1.1 SAP Concur Travel Expenses (SAP__TE_GEN_TRAVELEXPENSE)

Calculated Measures in Story Average Claimed Amount

Type Aggregation

Average Report Expenses

Aggregation

Average Approved Amount

Aggregation

Due Expenses Number of Approvers

Calculated Measure Aggregation

Number of Reports Number of Spenders

Aggregation Aggregation

Corporate Credit Card Amount

Restricted Measure

Formula/Properties
 Operation [AVERAGE excl.NULL ]  Measure [Claimed Amount] by Ag
gregation Dimension [ID]  Conditional Aggregation [No]
 Operation [AVERAGE excl.NULL ]  Measure [Total] by Aggregation Di
mension [ID]  Conditional Aggregation [No]
 Operation [AVERAGE excl.NULL ]  Measure [Approved Amount] by
Aggregation Dimension [ID]  Conditional Aggregation [No]
AmountDueCompanyCard + Amount DueToEmployee
 Operation [COUNT DIMENSIONS ]  Aggregation Dimension [Approver
LoginID]
 Operation [COUNT DIMENSIONS ]  Aggregation Dimension [ID]
 Operation [COUNT DIMENSIONS ]  Aggregation Dimension [OwnerLo
ginID]
Measure [PostedAmount] restricted by [PaymentTypeCode] on [Corporate Credit Card]

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Calculated Measures in Story Corporate Credit Card Adoption Number of Entries
Number of Missing Images
Number of Not Missing Images Share Approved vs. Claimed Claimed Amount Not Approved

Type Calculated Measure Aggregation
Restricted Measure
Calculated Measure Calculated Measure Calculated Measure

Formula/Properties
Corporate CreditCard Amount/Trans actionAmount
 Operation [COUNT DIMENSIONS ]  Aggregation Dimension [Entry]
Measure [Count] restricted by [Has Im age], [Is Image Required] on [false], [true]
Number of Entries - Number of Missing Image
Approved Amount / Claimed Amount
Claimed Amount - Approved Amount

2.59.4 Models
2.59.4.1 SAP Concur Expense Reports (SAP__TE_GEN_IM_EXPENSEREPORT)

Model Name: SAP__TE_GEN_IM_EXPENSEREPORT

 Model Description: SAP Concur Expense Reports  Planning Enabled: Yes on UserDefinedDate  Purpose of Data Import : Acquire actuals data

Account Dimension

ID

Description

AmountDueCompanyCard

Due Company Card

AmountDueEmployee

Amount Due Employee

PersonalAmount

Personal Amount

Total

Total

TotalApprovedAmount

Approved Amount

TotalClaimedAmount

Claimed Amount

PlanActualsDelta

Remaining Budget

PlanActualsPercent

Consumed Budget %

Connection Import Data Connection to Concur
Mapping/Formula AmountDueCompanyCard AmountDueEmployee PersonalAmount Total TotalApprovedAmount TotalClaimedAmount RESULTLOOKUP([Total],[d/ Version]="public.Budget Planning")-RE SULTLOOKUP([Total],[d/ Version]="public.Actual") RESULTLOOKUP([Total],[d/Cate gory]="public.Actual")/RESULT LOOKUP([Total],[d/Cate gory]="public.Budget Planning")

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Model Name: SAP__TE_GEN_IM_EXPENSEREPORT

Trip Start to Paid date

Report Date to Paid date

Report Creation to Submission

Creation to Submission

Trip Start to Report Creation

Trip Start to Report Creation

Trip Start to Report Submission

Report Date to Report Submission

Report Submission to Payment

Submission to Payment

Approval to Payment

Approval to Payment

Connection
DATEDIFF([d/PaidDate],[d/Trip Date],"Day") +DECFLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions- Paid Date, TripDate
DATEDIFF([d/SubmitDate],[d/Create Date],"Day") +DECFLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions- SubmitDate, CreateDate
DATEDIFF([d/TripDate] ,[d/Create Date] ,"Day" ) +DECFLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions-CreateDate, TripDate
DATEDIFF([d/SubmitDate],[d/Trip Date],"Day") +DECFLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions-SubmitDate, TripDate
DATEDIFF([d/PaidDate] ,[d/Submit Date] ,"Day" ) +DECFLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions-SubmitDate, PaidDate
DATEDIFF([d/PaidDate],[d/Processing PaymentDate],"Day") +DEC FLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions-PaidDate, ProcessingPaymentDate

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Model Name: SAP__TE_GEN_IM_EXPENSEREPORT

Submission to Approval

Submission to Approval

Dimensions SAP Analytics Cloud Dimension
Approval Status
Approver
Approver (EmployeeID)
Country Country Subdivision Create Date Currency
Custom 1 Custom 3 Has Exception Ledger Name OrgUnit 1 OrgUnit 2 OrgUnit 3 OrgUnit 3 Code OrgUnit 4 Code Business Unit (OrgUnit 4) Owner
Owner (EmployeeID)

ID / Description / Property / Cur rency ID Description
ID Description
ID
ID ID
ID Currency ID ID ID ID ID ID ID ID ID ID ID Description
ID

Connection
DATEDIFF([d/ProcessingPayment Date] ,[d/SubmitDate] ,"Day" ) +DEC FLOAT("0.001") Exception Agg.Type- AVG excl.NULL Excep. Agg. Dimensions-SubmitDate, ProcessingPaymentDate
Technical Name of Dimension in Data Source ApprovalStatusCode ApprovalStatusName
ApproverLoginID ApproverName ApproverLoginID/EmployeeID
Country CountrySubdivision CreateDate CurrencyCode CurrencyCode (copy) Custom1/Value Custom3/Value HasException LedgerName OrgUnit1/Value OrgUnit2/Value OrgUnit3/Value OrgUnit3/Code OrgUnit4/Code OrgUnit4/Value OwnerLoginID OwnerName OwnerLoginID/EmployeeID

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Model Name: SAP__TE_GEN_IM_EXPENSEREPORT

Paid Date

Payment Status

ID

Description

Processing Payment Date

Project (Custom 2)

ID

Receipts Ever Sent Back

ID

Receipts Received

ID

Report

ID

Description

Submit Date Time Additional Notes about the model

Connection PaidDate
PaymentStatusCode PaymentStatusName ProcessingPaymentDate Custom2/Value EverSentBack ReceiptsReceived
ID Name SubmitDate UserDefinedDate

All Concur Expense Report fields are documented in detail here: https://developer.concur.com/api-reference/expense/ expense-report/reports.html#schema
The model is using the currency conversion table SAP_TE_CURRENCY.

2.59.4.2 SAP Concur Expense Entries (SAP__TE_GEN_IM_EXPENSEENTRY)

Model Name: SAP__TE_GEN_IM_EXPENSEENTRY

 Model Description: SAP Concur Expense Entries  Planning Enabled: Yes on Transaction Date  Purpose of Data Import: Acquire actuals data

Account Dimension

ID

Description

ApprovedAmount

Approved Amount (Not re-converted)

ApprovedAmount_C

Approved Amount

PostedAmount

Posted Amount (Not re-converted)

PostedAmount_C

Posted Amount

ExchangeRate

Exchange Rate

Connection Import Data Connection to Concur
Mapping/Formula (This measure is set as hidden, as it is used for internal calculations only) Exception Aggregation SUM(ID) ([Ap provedAmount]/[ExchangeRate]) (This measure is set as hidden, as it is used for internal calculations only) Exception Aggregation SUM(ID) ([Post edAmount]/[ExchangeRate])

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Model Name: SAP__TE_GEN_IM_EXPENSEENTRY

TransactionAmount Dimensions SAP Analytics Cloud Dimension
Allocation Type Custom 1 Project (Custom 2) Custom3 Entry

Transaction Amount
ID / Description / Property / Cur rency ID ID ID ID ID

Description

Expense Type

ID

Description

Has Applied Cash Advance

ID

Has Attendees

ID

Has Comments

ID

Has Exceptions

ID

Has Image

ID

Has Itemizations

ID

Has VAT

ID

Is Billable

ID

Is Image Required

ID

Is Paid By Expense Pay

ID

Is Personal

ID

Is Personal Card Charge

ID

Location Country

ID

Location

ID

Description

Location Subdivision

ID

Org Unit 1

ID

Org Unit 2

ID

Org Unit 3

ID

Payment Type

ID

Description

Connection
Technical Name of Dimension in Data Source AllocationType Custom1/Value Custom2/Value Custom3/Value ID Description
ExpenseTypeCode ExpenseTypeName HasAppliedCashAdvance HasAttendees HasComments HasExceptions HasImage HasItemizations HasVAT IsBillable IsImageRequired IsPaidByExpensePay IsPersonal IsPersonalCardCharge LocationCountry LocationID LocationName LocationSubdivision OrgUnit1Value OrgUnit2Value OrgUnit3Value PaymentTypeID PaymentTypeName

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Model Name: SAP__TE_GEN_IM_EXPENSEENTRY

Receipt Received

ID

Report ID (This dimension links to the ID related expense report, i.e. dimension ExpenseReport.ID)

Report Owner

ID

Description

Report Owner (EmployeeID)

ID

Connection ReceiptReceived ReportID
ReportOwnerID ReportOwnerID/FirstName+LastName ReportOwnerID/EmployeeID

Spend Category
Tax Receipt Type Time Transaction Currency
Vendor Additional Notes about the model

ID Description ID
ID Currency ID

SpendCategoryCode SpendCategoryName TaxReceiptType TransactionDate TransactionCurrencyCode TransactionCurrencyCode (copy) VendorDescription

All Concur fields are documented in detail here: https://developer.concur.com/api-reference/expense/expense-report/expense-entry.html#schema The model is using the currency conversion table SAP_TE_CURRENCY.

2.60 SAP UI Logging
2.60.1 Architecture and Abstract
UI logging is an add-on product provided by IBSO for on-premise.
In the hospital, the access of medical records of patients is strictly limited to medical staff. This is being achieved by implementing an authorization concept in the SAP systems. Nevertheless, the medical personnel are only allowed to access and process medical records of the patients in their responsibility. For example, Mr. Markus Mueller is a patient in the department Cardiology. The medical personnel such as doctors or nurses must have access to the medical records of this patient. The medical personnel of the department Cancer can access the medical record of Mr. Markus Mueller as well because they have the authorization, but they are not allowed to do so according to EU-GDPR guidelines. With the support of UI Logging, the Data Protection Officer (DPO) is able to identify the medical personnel that are responsible for non-allowed accesses to medical records. He can prevent data leakage and data fraud.
The legal ground for logging is to detect any data leakage by employees of a company: it reports the data being displayed to and entered by users in an SAP application and provides tools for analyzing logs to find any data

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abuse. SAP Analytics Cloud (SAC) includes a tool for the DPO that allows him to analyze log data from an onpremise system. The analysis is subdivided into UI Log Statistics, User Statistics, and Analysis on UI Logs. In UI Log Statistics the most important log parameters such as Critical Users or Critical Applications are displayed.
User Statistics shows the users together with the number of accessed critical fields, the number of called applications, the number of logs created.
In Analysis on UI Logs, a list of users is displayed with its parameters such as number of logs or applications. By selecting the user, the system navigates you to the user behavior (time distribution of logs and called applications). The SAP Analytics Cloud content for SAP UI Logging Analysis is based on a live connection to the SAP S/4 HANA with dedicated CDS view.

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2.60.2 SAP UI Logging Story (SAP__ALL_GEN_UILOGGING_LI)

This story provides overall analysis of UI logging data from S/4 HANA on-premise system. The story contains the following pages:
 UI Log Statistics  User Statistics  User Behavior

Measure Name Number of Users Number of Critical Fields Number of Applications Number of Logs Number of Calls

Type CDS Measure CDS Measure CDS Measure CDS Measure CDS Measure

Formula/Properties Number of Users Number of Critical Fields Number of Applications Number of Logs Number of Calls

2.60.3 SAP UI Logging Data (SAP__ALL_GEN_LS_UILOGGING)

Model Name: SAP__ALL_GEN_LS_UILOGGING
 Model Description: SAP UI Logging Data  Planning Enabled: no

Dimensions Name 2C/LOGS4H/IUILGCUB 2CJHEXCNJZP09DMLYH7CCFYA41K 2CN513ECZLROER6T31KMLQ593EY 2C/LOGS4H/IUSERDIM 2C/LOGS4H/IAPPLDIM 2C/LOGS4H/ITAGDIM 2C/LOGS4H/ITECHDIM

Description Log GUID Logging Date Logging Time User ID Application Critical Field (TAG ID) Technology ID

Connection
- Connection Type: Live connection to S/4 HANA (SAPUILNW) - Analytical Query: 2C/LOGS4H/ CUILGQ01 - CDS View Query name: /LOGS4H/ C_UILOGQ001
Mapping

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Model Name: SAP__ALL_GEN_LS_UILOGGING

2C/LOGS4H/ICRACTD

User Action ID

Connection

2.61 Statistical Process Control (SPC) Toolkit
2.61.1 Architecture and Abstract
Statistical Process Control (SPC) is a methodology used in manufacturing (stability, quality, reliability) to prevent defects, and is typically either implemented in specialized software or used on top of a low-level software layer such as excel. However, the SPC tools can be easily applied to a much wider range of business processes and even beyond, to things like the sequence of items in a batch or a collection of purchase orders. The content package described here provides a generic toolkit to simplify, accelerate and standardize implementations of SPC (control charts, nelson rules) on Data Warehouse Cloud. At a high level, this is achieved by combining all relevant data sources ­ measurements and master data describing them and enabling self-service SPC analyses on the combined data set.

2.61.2 Stories
This package contains a story: Statistical Process Control (SPC) (SAP__X_SPC_ControlChart). The story allows the user to review a control chart for the selected measurement. The following details are displayed:  Expected mean, tolerance limits and specification limits. The area between the tolerance limits is white.
The area between tolerance and specification limits is orange. The area outside the specification limits is red.  Point color according to Nelson rule violations: orange points represent a violation of rule 1 (but not of rule 2). Red points represent a violation of rule 2.

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2.61.3 Models
The Story is using the following Data Warehouse Cloud model. It's based on a live connection to the SAP Data Warehouse Cloud system. Setup the connection with the name SAPDWC. Model Name: Model Control Chart (SPC) Technical Name: SAP_X_SPC_OUT_CONTROL_CHART Please navigate to the SAP Data Warehouse Cloud content documentation for details.

2.62 Transportation Management Business Performance Dashboard
2.62.1 Architecture and Abstract
Supply chains have become more complex in the last few years, and this has led to an increase in the risk of instability and fragility. In addition to that, logistic time buffers which are fitting to such a high transportation density along various global networks, are still diminishing worldwide. Results of such an evolution is a rising demand of transparency, traceability and steerability. This requires a mixture of real time and non-real time KPIs covering and supporting a range from short to long term business

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decisions. This holds true for any kind of market or business segment. Shipper of all industries like Retail, Wholesale, High-tech, Chemicals, Automotive and many more, as well as Logistic Service Providers like 2PL, 3PL and even 4PL facing similar analytical challenges.
Within this context, various KPI requirements for several major analytical target areas could have been identified. In this first shipment, the focus is on the following three sections:
 Overview: Providing a general overview of the current transportation status  Execution and Block: Giving a more detailed insight into the execution section of the business  Transported Quantities: Section three is covering quantity related information, down to a single transport
and its individual items Prerequisites Prerequisite for SAP Transportation Management Business Performance Dashboard - Version CI20 Release 2021.07 - is S/4HANA on-premise 2020 FPS 2.

2.62.2 SAP Transportation Management: Story
Technical Name: SAP__TMS_SCM_LB_BUSDSHBRDFORFREIGHTORDER_LIVE Description: SAP Transportation Management Business Performance Dashboard The story consists of 3 pages, each one describing a separate transportation-related business area.

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2.62.3 SAP Transportation Management: Pages 2.62.3.1 Overview
In the first page of the story, a general overview of the current transportation status is provided.

The following KPIs are used on the page: - Number of Freight Orders - Gross Weight - Gross Volume - Number of Containers - Distances - Net Durations - Mass / Weight Utilization - Volume Utilization - Length Utilization The following details are displayed, and interactions can be used on this page: - Based on the different lifecycle status, such as "new", "in process" or "cancelled", the number of freight orders are shown. This bar chart also acts as a filter for all visual elements on this screen. - To identify possible peaks or trends a time-resolved line chart is used to visualize this with the additional function of a time slider bar at the bottom.

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- To monitor the operational area of the transport execution, a pie chart is showing the number of freight orders by individual execution status, such as "loading in progress", "in execution" or "executed". In parallel it can also be used as a filter for all the remaining elements of this page.
- For more detailed information on transportation mode, for example "Road", and freight order level an according table view provides additional insights, such as "Execution Status", "Life Cycle Status" in combination with several quantity KPIs and times.
- Three different carrier-related utilization categories are shown at the bottom of this page. They are covering the utilization by Mass, Volume and Length. It can be filtered by single or multiple carriers by the filter panel at the right, which is also affecting all other page elements.

SAP Transportation Management Business Perfomance. Dashboard - Order: SAP__TMS_SCM_LB_TRANSPORD FORBUSDSHBRD CDS View: C_TranspOrdForBusDshbrdQ
Dimensions Carrier Created By Creation Date Creation Date Time Creation Year Creation Year Month Creation Year Quarter Creation Year Week Destination Location Execution Status Freight Order Length Display Unit Life Cycle Status Number of Containers Display Unit Planning Status Quantity Display Unit Source Location Time Display Unit Transportation Mode Transportation Mode Category

Connection
Connection Type: S/4Hana Live BEx Query: 2CCTORROOTSACANAQ Measures Number of Freight OrdersNumber of Freight Orders Max. Mass Utilization Ratio Max. Volume Utilization Ratio Max. Length Utilization Ratio Gross Weight Gross Volume Quantity Number of Containers Distance Net Duration

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SAP Transportation Management Business Perfomance. Dashboard - Order: SAP__TMS_SCM_LB_TRANSPORD FORBUSDSHBRD
Transportation Order Category
Transportation Order Type
Volume Display Unit
Weight Display Unit

Connection

Mandatory Parameters Time Display Unit Weight Display Unit Volume Display Unit Quantity Display Unit Number of Containers Display Unit Distance Display Unit Creation Date

Default Value H KG M3 EA TEU KM Interval from today date to 6 Month back to the start of month. For example, if today's date is 30.04. then the selected date for the start of the interval is 01.10.

2.62.3.2 Execution and Block
This page gives a more detailed insight into the execution section of the business.

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The following KPIs are used on the page:
 Number of blocked Freight Orders  Block ratio  Number of delayed Freight Orders  Delay ratio  On-time customer performance  Supply Chain efficiency  Carrier performance  Requested date fulfillment rate  On-time activities  Number of unexpected events  Number of Freight Orders per block category  Number of Freight Order blocks per block reason  Number of manual blocks per block reason  Carrier details display the following KPI's per carrier:
 Carrier performance  On-time customer performance  Supply chain efficiency  Freight Order details display the following KPI's per Freight Order:  Maximum mass utilization ratio  Maximum volume utilization ratio  Gross weight  Gross volume  Quantity  Distance  Net duration
The following details are displayed, and interactions can be used on this page:
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 To get a first quick overview of the current transport execution situation, the six KPI tiles at the very top of this page provide a first insight.
 Number of blocked Freight Orders as an absolute number as well as a Block Ratio
 Number of delayed Freight Orders as an absolute number as well as a Delay Ratio
 On Time Customer Performance is calculated as a difference between the Requested Arrival Date and the Actual Arrival Date
 Supply Chain Efficiency is calculated as a difference between the Confirmed Arrival Date and the Actual Arrival Date
 Carrier Performance is calculated as a difference between the Planned Arrival Date and the Actual Arrival Date
 Requested Date Fulfillment Rate is calculated as a difference between the Requested Arrival Date and the Confirmed Arrival Date
 Detailed information around activities, such as loading/unloading and unexpected events, such as delay are visualized in a bar chart and a table view.
 To analyze individual activities ding/uand get a better understanding of how well they have been conducted, this by-thresholds colored bar chart is providing a first overview. For more detailed analysis an Explorer View has been integrated. It can be launched by using the incorporated link. This will lead the user to an additional screen, with many more measures to choose from for further analytical purposes.
 Unexpected events, which normally pop up by accident, are ones that cause unplanned additional efforts. A table structure in a first compressed view, shows a better and more detailed understanding of events and reasons they are appearing and how often. For more detailed analysis another Explorer View has been integrated. It can be launched by using the incorporated link. This will lead the user to an additional screen with many more measures to choose from for further analytical purposes.
 Transport-related blockings of any kind and type normally cause friction along the different supply chains. So, it's key to constantly monitor them and keep them to a minimum. This kind of information can be found in the Block Details section of this page. It consists of three separate charts:
 Number of Freight Orders per Block Category. For more detailed analysis, another Explorer View has been integrated. It can be launched by using the incorporated link. This will lead the user to an additional screen with many more measures to choose from for further analytical purposes.
 Number of Freight Order Blocks per Block Reason
 Number of Manual Blocks per Block Reason
 Within the Execution Details section two additional aspects have been covered. Focus here is on carriers and pairs of locations ­ based on source and destination location of Freight Orders:
 A first high-level overview, related to how good a carrier itself performed as well as regarding customer on-time or supply chain efficiency, is given in this bar chart. It also works as a filter for the table to the right which then shows only those Freight Orders belonging to the selected carrier.
 The table is providing more detailed information on an individual Freight Order level in combination with the two geographical attributes of source- and destination location. These attributes can also be used as independent filters, which are placed directly above the table.

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SAP Transportation Management Bus. Perf. Dshbrd. Order 2:

SAP__TMS_SCM_LB_TRANSPORD2FORBUSDSHBRD

Connection

CDS View: C_TranspOrd2ForBusDshbrdQ

Connection Type:

S/4Hana Live

BEx Query:

2CCTORROOT2SACQANA

Dimensions

Measures

Carrier

Number of Freight Orders

Created By

Max. Mass Utilization Ratio

Creation Date

Max. Volume Utilization Ratio

Creation Date Time

Max. Length Utilization Ratio

Delayed

Gross Weight

Destination Location

Gross Volume

Execution Status

Quantity

Freight Order

Number of Containers

Length Display Unit

Distance

Number of Containers Display Unit

Net Duration

Quantity Display Unit

Source Location

Time Display Unit

Mandatory Parameters Time Display Unit Weight Display Unit Volume Display Unit Quantity Display Unit Number of Containers Display Unit Distance Display Unit

Default Value H KG M3 EA TEU KM

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Mandatory Parameters Creation Date

Default Value
Interval from today date to 6 Month back to the start of month. For example, if today's date is 30.04, then the se lected date for the start of the interval is 01.10.

SAP Transportation Management Bus. Perf. Dshbrd. ­ Ex ecution:

SAP__TMS_SCM_LB_TRANSPORDEXECFORBUSDSHBRD Connection

CDS View: C_TranspOrdExecForBusDshbrdQ

Connection Type:

S/4Hana Live

BEx Query:

2CCTOREXESACQANA

Dimensions

Measures

Carrier

Event Delay

Carrier Conf. End Date Time of Stop

Event Delay (reqd. vs. actl.)

Carrier Conf. Start Date Time of Stop

Event Delay (confd. vs. actl.)

Creation Date

Number of Events

Creation Year

No. of On Time Events

Creation Year Month

No. of On Time Events (reqd. vs. actl.)

Creation Year Quarter

No. of On Time Events (confd. vs. actl.)

Creation Year Week

No. of On Time Events (reqd. vs. confd.)

Event

Event On Time Ratio

Event Actual Date Time

Event On Time Ratio (reqd. vs. actl.)

Event Delay Display Unit

Event On Time Ratio (confd. vs. actl.)

Event Expected End Date Time

Event On Time Ratio (reqd. vs. confd.)

Event Reason Code

Number of Freight Orders

Event Reason Description

No. of Delayed Freight Orders

Event Recalled

Event Delay

Event Status

Event Delay (reqd. vs. actl.)

Execution

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SAP Transportation Management Bus. Perf. Dshbrd. ­ Ex ecution: SAP__TMS_SCM_LB_TRANSPORDEXECFORBUSDSHBRD Connection Execution Status Freight Order Ratio Unit Ship-to Party Shipper Stage Destination Location Stage Source Location Stop Stop Plan Transp. Date Time Stop Requested End Date Time Stop Requested Start Date Time Transp. Activity Transportation Order Category Transportation Order Type

Mandatory Parameters Event Delay Display Unit Creation Date

Default Value
H
Interval from today date to 6 Month back to the start of month. For example, today date is 30.04. then the selected date for the start of the interval is 01.10.

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SAP Transportation Management Bus. Perf. Dshbrd. ­ Ex ecution:

SAP__TMS_SCM_LB_TRANSPORDBLOCKFOR BUSDSHBRD

Connection

CDS View: C_TranspOrdBlockForBusDshbrdQ

Connection Type:

S/4Hana Live

BEx Query:

2CCTORBLKSACQANA

Dimensions

Measures

Block Category Block Is Overruled Block Reason Creation Date
Creation Year

Number of Freight Orders Number of Blocked Freight Orders Number of Planning Blocks Number of Execution Blocks
No. of Planning Blocked Freight Orders

Creation Year Month

No. of Exec. Blocked Freight Orders

Creation Year Quarter

Number of Freight Orders

Creation Year Week

Source Location

Planning Block

Execution Block

Freight Order

Stage Type

Stage Stage Category Destination Location

Stage Source Location

Stage Destination Location

Transportation Order Category

Transportation Order Type

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Mandatory Parameters Creation Date

Default Value
Interval from today date to 6 Month back to the start of month.
For example, today date is 30.04. then the selected date for the start of the interval is 01.10.

2.62.3.3 Transported Quantities
Here the information related to transported quantities is given down to a single transport and its individual items.

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The following KPIs are used on the page:
 Number of Freight Orders  Total transported weight  Total transported volume  Total transported container  Total transported quantities  Item gross weight  Item gross volume  Item container quantity  Item quantity
The following details are displayed, and interactions can be used on this page:
 In the first of the three sections, a general overview of the transported quantities, in a certain timeframe, is given . To quickly change the chosen timeframe, an additional time slider function is available underneath the line chart. To switch between different unit of measures like e.g. weight, volume or others, the left-hand sided filter section can be used.
 The Item Quantity Details section consists of two major building blocks dealing firstly with individual transported items and with item categories, such as vehicle resources, compartments, products, and item types, for example service or trailer.  Sometimes it's not sufficient only analyzing freight orders on an aggregated level. More detailed information on an individual item level is needed and all this in combination with locations and location types, such as hub, and plant. All these different aspects can be flexibly combined in this set up, because all filters are concatenated and are in addition also influencing the bottom part of this page. So, with all this it's now possible to analyze transported weights, volumes and other quantities on a freight order item level.

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 In case it's required to further narrow down the freight order item analysis, the bottom section of this page offers these features. A kind of additional drill down due to item category and item type has been implemented there, as two filter sections to the left of the stacked filter chart bar, which is showing the according quantities. If a switch between different unit of measures in this stacked bar chart is needed, the selection box directly attached to it can be used for this purpose.

SAP Transportation Management Business Performance Dashboard - Order Detail: SAP__TMS_SCM_LB_TRANS PORDDETFORBUSDSHBRD

Connection

CDS View: C_TranspOrdExecForBusDshbrdQ

Connection Type:

S/4Hana Live

BEx Query:

2CCTORROOTDSACANAQ

Dimensions Created By

Measures Number of Freight Orders

Creation Year Creation Year Month Creation Year Quarter Creation Date

Item Gross Volume Item Quantity Item Containers Quantity Item Gross Weight

Creation Year Week Freight Order Item Item Category Item Description Item Destination Location Item Destination Location Type Item Source Location Item Source Location Type Item Type Number of Containers Display Unit Quantity Display Unit Transportation Mode Transportation Mode Category Volume Display Unit Weight Display Unit

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Mandatory Parameters Weight Display Unit Volume Display Unit Quantity Display Unit Number of Containers Display Unit Creation Date

Default Value KG
M3
EA
TEU
Interval from today date to 6 Month back to the start of month. For example, if today's date is 30.04, then the se lected date for the end of the interval is 01.10.

2.63 Treasury Management for SAP S/4HANA Cloud (BEST PRACTICE)
2.63.1 Treasury Management for SAP S/4HANA Cloud (BEST PRACTICE)
Treasury Management for SAP S/4HANA Cloud (49P) provides preconfigured story samples. Please read the documentation carefully before importing the content. Find all details and documentation about this scope item in SAP Best Practices Explorer: SAP S/4HANA Cloud Treasury content with SAP Analytics Cloud (49P).
2.64 Vendor Management System (VMS)
2.64.1 Architecture and Abstract
The story leverages Contingent Workforce and Statement of Work data from SAP Fieldglass via the standard SAP Fieldglass connector in SAP Analytics Cloud. User defined reports in SAP Fieldglass are exposed through the connector in SAP Analytics Cloud based on which models are created. Since user defined reports cannot be shipped, in the document below, you will find the definition of these reports.

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Architecture

2.64.2 Stories
SAP Vendor Management System: General - Workforce (SAP__VMS_GEN_WORKFORCE)
Page: Additional - Billing Rates
This page is divide into 2 parts:
The upper part compares daily rated for employees in payroll, job posting workers and SOW Workers.
SAP Analytics Cloud provides a functionality to run Smart Discovery (Machine led Discovery of insights) on any model. In a story, it is possible to run Smart Discovery on a model in the data view section. In the lower part of this page, this functionality is used to analyse the model SAP__VMS_GEN_IM_WORKER for the measure Current Work Order Committed Spend. The machine discovery provides a result, showing the dimensions that are main influencers for Committed spends along with charts showing the distribution of the influencing members of a dimension. The charts of the discovery are copied over to this page. These charts are frozen on the point in time the analysis took place and they are not influenced by any filters.

2.64.3 Models
As mentioned at the beginning of this chapter, the SAP Analytics Cloud models for Vendor Management System content can be filled using the SAP Fieldglass connector.
The SAP Fieldglass connector retrieves data exposed by SAP Fieldglass reports. These reports have to be set up manually in the SAP Fieldglass system. Once the reports are set up, the corresponding data models can be filled, usually by mapping the fields exposed by the reports 1:1 to the dimensions and key figures in the SAP Analytics Cloud models.

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Once the SAP Fieldglass report is created, fill the corresponding SAP Analytics Cloud model as follows:
 Choose Import Data from Fieldglass (from Browse  Model menu)  Choose your connection, create a new query, and provide name and description  Select the SAP Fieldglass report and map the fields as described below  Several models have Counter, for example, Job Postings Count details in the model field lists below. These
Counter fields have to be filled in SAP Analytics Cloud as follows:  Duplicate a column, ideally one with only a few different values.  Map this new column to the Counter Measure, for example, Job Postings Count.  Replace all values with "1".  If necessary, replace "" (blanks) in dimensions with suitable value (for example, "#" or "no").
The following sub-chapters assume that the reader is familiar with the creation of reports in the SAP Fieldglass system in general.
Please note that some models are plan-enabled models to allow for Smart Discovery. A suitable license has to be in place.

2.64.3.1 General ­ Job Posting (SAP__VMS_GEN_IM_JOBPOSTING)

This report displays the Job Postings of SAP Fieldglass for the last 3 years. Create the report as follows:

Filters Job Posting Create Date Rate Category (Column Filter)

In Last In

3 Years All (ST/Day, OT/Day)

Field list Module Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting

Data Field Name Site Job Posting Title Job Posting ID Business Unit Cost Center Job Posting Status Estimated Spend # Hired Buyer Cycle Time Work Order Time to Fill Supplier Cycle Time

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Field list Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting Job Posting

Total Cycle Time # Confirmed Interviews # Positions Requested # Withdrawn # Unfilled Positions # Responses # Shortlisted # Registered # Suppliers Responded # Accepted Interviews # Suppliers Distributed Job Posting Owner Job Posting Owner's Username Country Project Withdraw Reason First Job Seeker Submission Time Complete Supplier Cycle Time? First Job Seeker shortlist time Complete Buyer Cycle Time? Supplier must enter Pay Rate? Supplier must submit Resume/CV Exclude Pay Rate from Tax Adjustment Average Requested Bill Rate Average Presented Bill Rate Job Posting Create Date

Model Name: SAP__VMS_GEN_IM_JOBPOSTING

Connection

 Model Description: SAP Vendor Management System: General ­ Job Posting  Planning Enabled: Yes

 Connection Type: Import Data Connection to Fieldglass
 Connection Report: See above

SAP_VMS_JOBPOSTING_ACCOUNT *

ID

Description

EstimatedSpend

Estimated Spend

BuyerCycleTime

Buyer Cycle Time

Formula/Mapping Estimated Spend Buyer Cycle Time

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Model Name: SAP__VMS_GEN_IM_JOBPOSTING

WOTimeToFill

Work Order Time to Fill

SupplierCycleTime

Supplier Cycle Time

TotalCycleTime

Total Cycle Time

FirstSeekerSubmissionTime

First Job Seeker Submission Time

FirstSeekerShortlistTime

First Job Seeker shortlist time

AVRequestedBillRate

Average Requested Bill Rate

AVPresentedBillRateSTDAY

Average Presented Bill Rate [ST/Day]

AVPresentedBillRateOTDAY

Average Presented Bill Rate [OT/Day]

PositionFullfillmentRatio

Position Fullfillment Ratio

ConfirmedInterviews

# Confirmed Interviews

PositionsRequested

# Positions Requested

Withdrawn

# Withdrawn

UnfilledPositions

# Unfilled Positions

Responses

# Responses

Shortlisted

# Shortlisted

Registered

# Registered

SuppliersResponded

# Suppliers Responded

AcceptedInterviews

# Accepted Interviews

SuppliersDistributed

# Suppliers Distributed

Hired

# Hired

JobPostCount

Number of Job Postings

Dimensions

ID

Description

SAP_VMS_GEN_IM_JOBPOST ING:Time*

Time

SAP_VMS_GEN_IM_JOBPOSTING:Ver Version sion*

SAP_ALL_COUNTRY

Country

SAP_ALL_BUSINESSAREA

Business Area

SAP_ALL_COSTCENTER

Cost Center

SAP_VMS_JP_ID

Job Posting

SAP_VMS_JP_STATUS

Job Posting Status

SAP_VMS_GEN_OWNER

Owner

SAP_VMS_GEN_PROJECT

Project

SAP_VMS_GEN_SITE

Site

Connection Work Order Time to Fill Supplier Cycle Time Total Cycle Time First Job Seeker Submission Time First Job Seeker shortlist time Average Requested Bill Rate Average Presented Bill Rate STDAY Average Presented Bill Rate OTDAY [Hired] / [PositionsRequested] # Confirmed Interviews # Positions Requested # Withdrawn [PositionsRequested] -[Hired] # Responses # Shortlisted # Registered # Suppliers Responded # Accepted Interviews # Suppliers Distributed # Hired Fill with 1
Mapping Job Posting Create Date
Use SAP Analytics Cloud Version map ping and set to ,,Actuals" See above how to map accounts Country Business Unit Cost Center Job Posting ID Job Posting Status Job Posting Owner Project

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Model Name: SAP__VMS_GEN_IM_JOBPOSTING

Connection

SAP_VMS_JP_WITHDRAWREASON

Withdrawal Reason

Site

SAP_VMS_JP_CSCT

Complete Supplier Cycle Time?

Withdraw Reason

SAP_VMS_JP_CBCT

Complete Buyer Cycle Time?

Complete Supplier Cycle Time?

SAP_VMS_JP_SUENTERPAY

Supplier must enter PayRate?

Complete Buyer Cycle Time?

SAP_VMS_JP_SUSUBMITCV

Supplier must submit CV?

Supplier must enter Pay Rate?

SAP_VMS_JP_EXCLUDEPAYTAX

Exclude PayRate from Tax Adjustment? Supplier must submit Resume/CV?

 Note
* Private dimension and other dimensions are public.

2.64.3.2 General ­ Statement of Work (SAP__VMS_GEN_IM_SOW)

SAP Fieldglass report for Statements of Work This report displays the Statements of Work of SAP Fieldglass for the last 3 years. Create the report as follows:

Filters Job Posting Create Date Rate Category (Column Filter) Cost Center Statement of Work

In Last In Display Display

3 Years All (ST/Day, OT/Day) Current Last Approved

Field list Module Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work

Data Field Name Business Unit Cost Center Statement of Work Statement of Work ID SOW End Date SOW Start Date Statement of Work Create Date Committed Spend Edited On

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Field list Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work Statement of Work

Site # Suppliers Distributed Supplier Project Type # Suppliers Responded Active SOW Worker Count Estimated Expense % Estimated Additional Spend % Maximum Budget Amount Spend to Date Spend to Date for all Workers Remaining Spend Remaining Spend for all Workers Other Pending Spend Other Pending Spend for all Workers Statement of Work Status SOW Bid? Cap on Worker Spend Allow use of Fees with SOW Workers Enforce Max Budget on Characteristics and SOW Worker Taxable? Presented Rates Country

Model Name: SAP__VMS_GEN_IM_SOW

Connection

 Model Description: SAP Vendor Management: General - Statement of Work  Planning Enabled: Yes

SOW Account* ID CommittedSpend SuppliersDistributed SuppliersResponded ActiveSOWWorkerCount

Description Committed Spend # Suppliers Distributed # Suppliers Responded Worker Count

Connection Type: Import Data Connec tion to Fieldglass Connection Report: See above
Formula/Mapping Committed Spend # Suppliers Distributed # Suppliers Responded Active SOW Worker Count

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Model Name: SAP__VMS_GEN_IM_SOW

EstimatedExpense

Estimated Expense %

EstimatedAdditionalSpend

Estimated Additional Spend %

MaximumBudgetAmount

Maximum Budget Amount

SpendtoDateforallWorkers

Spend to Date for all Workers

RemainingSpendforallWorkers

Remaining Spend for all Workers

OtherPendingSpendforallWorkers

Other Pending Spend for all Workers

SOWCounter

Number of SOWs

TotalApprovalCycleTime STRates OTRates Dimensions ID SAP_VMS_GEN_IM_SOW:Time*

Total Approval Cycle Time Standard Rate per day Overtime Rates per day
Description Time

SAP_VMS_GEN_IM_SOW:Version*
SAP_VMS_SOW_ACCOUNT* SAP_VMS_SOW_ID SAP_VMS_SOW_STATUS SAP_VMS_SOW_TYPE SAP_VMS_SOW_BID SAP_VMS_SOW_ALLOWFEE SAP_VMS_SOW_MAXBUDGET
SAP_VMS_SOW_TAXABLE SAP_ALL_COUNTRY SAP_ALL_COSTCENTER SAP_ALL_BUSINESSAREA SAP_VMS_GEN_SITE SAP_VMS_GEN_PROJECT SAP_VMS_GEN_OWNER

Version
SOW Account Statement of Work SOW Status SOW Type SOW Bid? Allow use of fees with SOW Workers? Enforce Max Budget?
Taxable? Country Cost Center Business Area Site Project Owner

Connection Estimated Expense % Estimated Additional Spend % Maximum Budget Amount Spend to Date for all Workers Remaining Spend for all Workers Other Pending Spend for all Workers Counter Field, fill in SAP Analytics Cloud with "1" Total Approval Cycle Time Presented Rates (ST/Day) Presented Rates (OT/Day)
Mapping
Statement of Work Create Date (split columns to separate date and time-of-day and map date only) Use SAP Analytics Cloud Version map ping and set to ,,Actuals" See above how to map accounts Statement of Work ID Statement of Work Status Type SOW Bid? Allow use of Fees with SOW Workers? Enforce Max Budget on Characteristics and SOW Worker Taxable? Country Cost Center Business Unit Site Project Statement of Work Owner

 Note
* Private dimension and other dimensions are public.

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2.64.3.3 General ­ Supplier (SAP__VMS_GEN_IM_SUPPLIER)

SAP Fieldglass report for Supplier This report displays the Supplier information of SAP Fieldglass. Create the report as follows:

Filters

Supplier Status

In

Active

Field list Module Supplier Supplier Supplier Supplier Supplier Supplier Supplier Supplier

Data Field Name Total Staff Supplier # Workers Annual Revenue Supplier Status Supplier Code Country Average Evaluation Rating

Model Name: SAP__VMS_GEN_IM_SUPPLIER
 Model Description: SAP Vendor Management: General - Supplier  Planning Enabled: No

Supplier Account* ID WorkerCount SupplierCount

Description # Workers Supplier Count

Dimensions ID SAP_VMS_GEN_IM_SUPPLIER:Time* SAP_VMS_SUPPLIER_REVENUE SAP_VMS_SUPPLIER_RATING SAP__ALL_COUNTRY SAP_VMS_SUPPLIER_ID SAP_VMS_SUPPLIER_STAFF

Description Time Annual Revenue Supplier Rating Country Supplier Staff

Connection  Connection Type: Import Data
Connection to Fieldglass  Connection Report: See above
Formula/Mapping # Workers Counter Field, fill in SAP Analytics Cloud with "1"
Mapping Set to current year Annual Revenue Average Evaluation Country Supplier Code Total

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Model Name: SAP__VMS_GEN_IM_SUPPLIER

SAP_VMS_SUPPLIER_STATUS

Supplier Status

 Note
* Private dimension, other dimensions are public

Connection Supplier Status

2.64.3.4 General ­ Worker (SAP__VMS_GEN_IM_WORKER)

SAP Fieldglass report for Worker This report displays the Worker information of SAP Fieldglass. Create the report as follows:

Filters

Worker Status

In

Worker Start Date

In Last

Created, Open, Pending Review, Closed 3 Years

Field list Module Worker Worker Worker Worker Worker Worker Worker Worker Worker Worker Worker Worker Worker

Data Field Name Worker Status Supplier Site Worker Start Date Worker End Date Worker ID Business Unit Current Work Order Committed Spend Average Evaluation Rating Buyer Reference Job Code Spend to Date Worker Tenure

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Field list Worker Worker Worker Worker

Worker Type Worker Can Rehire? Country

Model Name: SAP__VMS_GEN_IM_WORKER

Connection

 Model Description: SAP Vendor Management: General - Worker  Planning Enabled: No

 Connection Type: Import Data Connection to Fieldglass
 Connection Report: See above

Worker Account* ID CurrentWorkOrderCommittedSpend SpendtoDate WorkerTenure WorkerCount
Dimensions ID SAP_VMS_WORKER_ACCOUNT:Time SAP_VMS_WORKER_ID SAP_VMS_WORKER_JOBCODE SAP_VMS_WORKER_TYPE SAP_VMS_WORKER_REHIRE SAP_VMS_WORKER_RATING SAP_VMS_WORKER_STATUS SAP_ALL_COUNTRY SAP_ALL_BUSINESSAREA SAP_VMS_GEN_SITE SAP_VMS_SUPPLIER_ID

Description

Formula/Mapping

Current Work Order Committed Spend Current Work Order Committed Spend

Spend to Date

Spend to Date

Worker Tenure

Worker Tenure

Number of Workers

Counter Field, fill in SAP Analytics Cloud with "1"

Description Time Worker Job Code Worker Type Can Rehire? Worker Rating Worker Status Country Business Area Site Supplier

Mapping Worker Start Date Worker ID Job Code Worker Type Can Rehire? Average Evaluation Worker Status Country Business Unit Site Supplier

 Note
* Private dimension and other dimensions are public.

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2.64.3.5 Worker - Qualification (SAP__VMS_WORKER_IM_QUAL)

SAP Fieldglass report for Worker Qualification This report displays the Worker Qualification information of SAP Fieldglass. Create the report as follows:

Filters Worker Status
Worker Start Date

In In Last

Created, Open, Pending Review, Closed 3 Years

Field list Module Worker Worker Worker Worker Worker Worker Worker Worker

Data Field Name Worker ID Qualification Qualification Category Qualification Description Worker Start Date Worker Status Years Average Evaluation Rating

Model Name: SAP__VMS_WORKER_IM_QUAL
 Model Description: SAP Vendor Management: Worker - Qualification  Planning Enabled: No

Qualification Account* ID QualificationCount

Description QualificationCount

Dimensions

ID

Description

SAP__VMS_WORKER_IM_QUAL:Time* Time

SAP_VMS_WORKER_QUALID

Qualification ID

Connection  Connection Type: Import Data
Connection to Fieldglass  Connection Report: See above
Formula/Mapping Counter Field, fill in SAP Analytics Cloud with "1"
Mapping Worker Start Date Qualification

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Model Name: SAP__VMS_WORKER_IM_QUAL

SAP_VMS_WORKER_QUALCAT

Qualification Category

SAP_VMS_WORKER_QUALYEAR

Years of Qualification

SAP_VMS_WORKER_ID

Worker

SAP_VMS_WORKER_STATUS

Worker Status

 Note
* Private dimension and other dimensions are public.

Connection Qualification Category Years Worker ID Worker Status

2.64.3.6 General ­ Timesheet (SAP__VMS_GEN_IM_TIMESHEET)

SAP Fieldglass report for Timesheet This report displays the Timesheet information of SAP Fieldglass. Create the report as follows:

Filters Time Sheet Start Date Time Sheet Status

In Last In

3 Years
 Approval Paused  Pending Review by Supplier  Approved  Payment Pending  Rejected  Pending Approval  Paid  Pending Review

Field list Module Time Sheet Time Sheet Time Sheet Time Sheet Time Sheet Time Sheet Time Sheet Time Sheet

Data Field Name Time Sheet Amount Cost Center Site Time Sheet Status Supplier Time Sheet ID Time Sheet Submit Date Business Unit

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Field list Time Sheet Time Sheet Time Sheet

Worker Working Hours Time Sheet Approval Time

Model Name: SAP__VMS_GEN_IM_TIMESHEET
 Model Description: SAP Vendor Management: General ­ Timesheet  Planning Enabled: No

Timesheet Account* ID TimeSheetApprovalTime TimeSheetAmount WorkingHours TimesheetCount

Description Time Sheet Approval Time Time Sheet Amount Working Hours Number of Timesheets

Dimensions

ID

Description

SAP__VMS_GEN_IM_TIMESHEET:Time Time

SAP_VMS_TS_STATUS

Timesheet Status

SAP_VMS_TS_ID

Timesheet ID

SAP_ALL_BUSINESSAREA

Business Area

SAP_ALL_COSTCENTER

Cost Center

SAP_VMS_GEN_SITE

Site

SAP_VMS_SUPPLIER ID

Supplier

SAP_VMS_WORKER_ID

Worker

 Note
* Private dimension and other dimensions are public.

Connection  Connection Type: Import Data
Connection to Fieldglass  Connection Report: See above
Formula/Mapping Time Sheet Approval Time Time Sheet Amount Working Hours Counter Field, fill in SAP Analytics Cloud with "1"
Mapping Time Sheet Submit Date Time Sheet Status Time Sheet ID Business Unit Cost Center Site Supplier Worker

2.64.3.7 General ­ Invoice (SAP__VMS_GEN_IM_INVOICE)
SAP Fieldglass report for Invoice This report displays the Invoice information of SAP Fieldglass.

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Create the report as follows:

Filters

Invoice Status

In

Invoice Submit Date Rate Category Column Filter

In Last In

 Paid  Consolidated  Payment Review  Approved  Pending Consolidation
3 Years
OT/Day (ANTE)
ST/Day (ANTE)

Field list Module Invoice Invoice Invoice Invoice Invoice Invoice Invoice Invoice Invoice Invoice Invoice Invoice

Data Field Name Invoice ID Invoice Amount Cost Center Invoice Status Supplier Invoice Submit Date Billable Hours (by Rate Category) Worker ID Site Business Unit Invoice Paid Amount Country

Model Name: SAP__VMS_GEN_IM_INVOICE
 Model Description: SAP Vendor Management: General - Invoice  Planning Enabled: No

Account* ID InvoiceAmount BillableHoursSTDay BillableHoursOTDay InvoicePaidAmount

Description Invoice Amount Billable Hours [ST/Day] Billable Hours [OT/Day] Invoice Paid Amount

Connection  Connection Type: Import Data
Connection to Fieldglass  Connection Report: See above
Formula/Mapping Invoice Amount Billable Hours [ST/Day] Billable Hours [OT/Day] Invoice Paid Amount

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Model Name: SAP__VMS_GEN_IM_INVOICE

invoicecount

Number of Invoices

Dimensions ID SAP__VMS_GEN_IM_INVOICE: Time SAP_VMS_INVOICE_ID SAP_VMS_INVOICE_STATUS SAP_VMS_SUPPLIER_ID SAP_VMS_WORKER_ID SAP_ALL_COUNTRY SAP_ALL_COSTCENTER SAP_ALL_BUSINESSAREA SAP_VMS_GEN_SITE

Description Time Invoice Invoice Status Supplier Worker Country Cost Center Business Area Site

 Note
 Private dimension and other dimensions are public.

Connection Counter Field, fill in SAP Analytics Cloud with "1"
Mapping Invoice Submit Date Invoice ID Invoice Status Supplier Worker ID Country Cost Center Business Unit Site

2.65 Visa & Permit Management for Human Experience Management
2.65.1 Architecture and Abstract

Prerequisites
To enable and use this content package, some implementation steps must be followed. For details, see the Implementation Steps listed in the Integration Guide for SAP SuccessFactors and SAP Analytics Cloud. In this package, end-users can analyze their data from SAP SuccessFactors Visa and Permits Management combined with other SAP SuccessFactors modules and oversee specific compliance and performance aspects of visas and permits, as well as related business process (workflow) requests. The architecture overview for this content package is available in Architecture Overview.

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2.65.2 Stories
You can follow the links below for details about the stories in this package.  Document Compliance (SAP__HR_VPM_DOCCOMPLIANCE)  Company Matching (SAP__HR_VPM_COMPMISMATCH)  Document Monitoring (SAP__HR_VPM_DOCMONITOR)  Request Monitoring and Request Processor Performance (SAP__HR_VPM_REQMONITOR)
2.65.3 Models
You can follow the links below for details about the models in this package.  Document Compliance (SAP__HR_VPM_DOCCOMPLIANCE)  Company Matching (SAP__HR_VPM_IM_COMPMISMATCH)  Document Monitoring (SAP__HR_VPM_IM_DOCMONITOR)  Request Monitoring (SAP__HR_VPM_IM_REQMONITOR)  Request Processor Performance (SAP__HR_VPM_IM_AGENTPERF)

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3 Industries
3.1 Agriculture 3.1.1 Architecture and Abstract
SAP Agricultural Origination, Trading & Risk Management covers analytics for Trader and Risk Manager. Architecture Agriculture Business Trading Origination and Risk Management

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3.1.2 Dashboard

gribusiness Trading, Origination and Risk Management Story (no Dashboard)

Root Topic Name

Topic Level 1 name

Topic Level 2 name

Agribusiness Trading, Origi Commodity Risk ­ Current ­

nation and Risk Management SAP_AGR

page 2

Position

Mark to Market

Premium Position Position Price Type
Commodity Risk - End of Day Position Mark to Market

Premium Position

Commodity Risk - Day over Day

Position

Mark to Market

Premium Position

PnL

Model Name / CDS Query
SAP_AGR_2CCNETPOS REPSL / 2CCPOSREPSL
SAP_AGR_2CCACMMTM LOGCUR SAP_AGR_2CCDRVTVMTMC URQRY SAP_AGR_2CCACMSTKMTM QLTY SAP_AGR_2CCNETPOS REPPR / 2CCPOSREPPR SAP_AGR_2CCNETPOS REPPT / 2CCPOSREPPT
SAP_AGR_2CCNETPOSREP SLEOD SAP_AGR_2CCACMMTMLO GEOD SAP_AGR_2CCDRVTVMTME ODQRY SAP_AGR_2CCCMMMTMST KEODQRY SAP_AGR_2CCNETPOSREP PREOD
SAP_AGR_2CCNETPOS REPSLDOD SAP_AGR_2CCACMMTM LOGDOD SAP_AGR_2CCNETPSOR EPPRDOD SAP_AGR_2CCCMMBPPNLV ALUEQ SAP_AGR_2CCACMPNL NAVAL SAP_AGR_2CCDRVTVPNLQ RY

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gribusiness Trading, Origination and Risk Management Story (no Dashboard) Business Partner Trade Position
Mark to Market

SAP_AGR_2CCNETPOS REPPT SAP_AGR_2CCNET POSREPSL
SAP_AGR_2CCACMMTM LOGCUR

3.1.3 Stories
 Commodity Risk Current  Commodity Risk End of Day  Commodity Risk Day over Day  Business Partner Contracts

3.1.3.1 Commodity Risk Current

Measure Name Hedge %
Total Physical (Flat+NBE)

Type Calculated Measure
Calculated Measure

Formula/Properties
-Futures Trade / Total Physical (Flat +NBE)
Total Physical + Unpriced NFE Purchase + Unpriced NFE Sales

3.1.3.2 Commodity Risk End of Day

Measure Name Hedge % EoD
Total Physical (Flat+NBE) EoD

Type Calculated Measure
Calculated Measure

Formula/Properties
-Futures Trade / Total Physical (Flat +NBE)
Total Physical + Unpriced NFE Purchase + Unpriced NFE Sales

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3.1.3.3 Commodity Risk Day over Day

Measure Name Total Physical (Flat+NBE) DoD

Type Calculated Measure

Formula/Properties
Total Physical + Unpriced NFE Purchase + Unpriced NFE Sales

3.1.3.4 Business Partner Trade

Measure Name Contractual Value Unpriced NFE Unrealized Contract Quantity

Type Restricted Measure Calculated Measure Calculated Measure

Formula/Properties
Value in Stat. Crcy (measure) + Short Descript. (dimension)
Unpriced NFE Purchase + Unpriced NFE Sales
Open Contracts+ Inventory on Unreal ized Transactions

3.1.4 Models
All models in this build are Live Models, no planning models were used and from same data source (SAPAGRH, Direct). Variables (Prompt)

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Links for Model Prompts

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Model Links

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3.2 Banking
3.2.1 Architecture and Abstract
The Banking Digital Boardroom provides banking career decision makers with a real-time data driven platform to track LOB and profitability specific KPI's around Finance, Human Resource, and Travel Management.

3.2.2 Dashboard
Banking delivers the Digital Boardroom Dashboard SAP Banks Profitability (SAP_FS_BANKINGPROFITABILITY).

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3.2.3 Stories
 SAP Banking: Finance ­ Profitability (FS-PER) (SAP__FS_GEN_BANKSPROFITABILITY)  SAP Banking: Finance ­ Profitability (S/4HANA AFI) (SAP__FS_GEN_BANKINGPROFITABILITY)  SAP Banking: Profitability Simulation (SAP__FS_GEN_BANKSPROFITABILITYVDT)  SAP Banking: Liquidity Management (SAP__FS_GEN_LIQUIDITYMANAGEMENT)  SAP Banking: Travel Expenses (SAP__FS_GEN_TRAVELEXPENSE)

SAP Banking: Finance ­ Profitability (FS-PER) (SAP__FS_GEN_BANKSPROFITABILITY)
This story contains some overview KPIs that are relevant for all agenda topics. It contains some overview level income and cost KPIs such as Income break-down, Trading Income, and Direct-Cost break-down or IndirectCost break-down.

SAP Banking: Finance ­ Profitability (S/4HANA AFI) (SAP__FS_GEN_BANKINGPROFITABILITY)
This story contains the analysis of the Return on Assets subject, with details about income and assets. Furthermore, it includes the detail breakdown of loans and impairments as well as deposits and liabilities.

SAP Banking: Profitability Simulation (SAP__FS_GEN_BANKSPROFITABILITYVDT)
Use this story and the embedded value driver trees to simulate profitability, expenses and revenue. Be advised, that the import of value driver trees from the Content Library is currently not working. Please refer to SAP Note 2644005. This note provides the missing value driver trees and a detailed explanation of how to install them in your SAP Analytics Cloud.

SAP Banking: Liquidity Management (SAP__FS_GEN_LIQUIDITYMANAGEMENT)
This story is based on a live data connection of type SAP HANA. The story will therefore not show any data unless a suitable connection SAPLM is created.
The connection can be set up prior or after the import of the content package SAP FS Banking. If the connection does not exist when the content package is imported, the live models will be imported with warnings. They will be active, but unusable until the connection is created.

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The connection has to have the name SAPLM. Enter a suitable description. Specify the connection details for the SAP Liquidity Management backend system and provide the required credentials.
Depending on your specific data, the layout in the story SAP Banking: Liquidity Management can be adjusted (filter values, number scaling, etc.)

SAP Banking: Travel Expenses (SAP__FS_GEN_TRAVELEXPENSE)
This story is a placeholder. For technical reasons, the travel and expense story cannot be included. Refer to chapter SAP- Travel & Expense (TE) - Concur for details.

3.2.4 Models
3.2.4.1 General- Banks Profitability (SAP__FS_IM_BANKSPROFITABILITY)

SAP__FS_IM_BANKSPROFITABILITY

 SAP Financial Services: General- Banks Profitability  Planning Enabled: Yes

Account Dimension ID KF_CLSNG_PRC KF_FACE_VALUE KF_MARKET_VALUE KF_TRADE_PL NXI_ALLOCF NXI_ASSET NXI_CRVDCR NXI_CRVRATE NXI_CRVTERM NXI_FCCOST NXI_FCINCOME NXI_INTASSR NXI_INTLIABR NXI_LIAB

Description Closing Price Face/Notional Value Market Value Trading Profit/Loss Amount Allocation Factor AI Asset Curve Discount Rat Curve Rate Curve Term Fee & Commission Cos Fee & Commission Inc Interest Rate Asset Interest Rate Liabil AI Liability

Connection Local File based on SAP Performance Management for Financial Services
Mapping/Formula KF_CLSNG_PRC KF_FACE_VALUE KF_MARKET_VALUE KF_TRADE_PL NXI_ALLOCF NXI_ASSET NXI_CRVDCR NXI_CRVRATE NXI_CRVTERM NXI_FCCOST NXI_FCINCOME NXI_INTASSR NXI_INTLIABR NXI_LIAB

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NXI_NPASSET NXI_PAYMENT NXI_QA TRADINGINCOME YBALANCE YBASERATE YBEHRCT YCC YCCNPV YDURATION YECOT YEVENTTER YEXPFEE YEYRATE YFINCOST YFTPRATE YGMCOST YHRCOST YINCFEE YINTAMT YINTEXP YINTINC YITCOST YLIBORMRT YLOCAITONLAT YLOCATIONLONG YLPRATE YLTWGHT YMFC YMSPREAD YNCM YNIM YNINTINC YNOM YNONINTINC YNPVS
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NP Asset Payment Quantity Trading Income Balance Strip Funding FTP Base Rate BE Haircut Capital Growth Capital Growth NPV Duration Effective Capital over Time Event Term Expense Fee Effective Yield Rate Finance Cost FTP Rate GM Cost HR Cost Income Fee Interest Amount Interest Expense Interest Income IT Cost YLIBORMRT YLOCAITONLAT YLOCATIONLONG 1 Month LIBOR Rate Long Term Weight Marginal Funding Curve Margin Spread Net Commissions Margin (CM2) Net Interest Margin (CM1) Net Interest Income Net Overall Margin (CM4) Non Interest Income (Net) Present Value Sum

NXI_NPASSET NXI_PAYMENT NXI_QA TRADINGINCOME YBALANCE YBASERATE YBEHRCT YCC YCCNPV YDURATION YECOT YEVENTTER YEXPFEE YEYRATE YFINCOST YFTPRATE YGMCOST YHRCOST YINCFEE YINTAMT YINTEXP YINTINC YITCOST YLIBORMRT YLOCAITONLAT YLOCATIONLONG YLPRATE YLTWGHT YMFC YMSPREAD YNCM YNIM YNINTINC YNOM YNONINTINC YNPVS

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YNSM YOTHCOST YOTHINCM YPAMOUNT YPFC YPRIMERT YPROVIS YREFAMNT YREPORT YRESERVES YREVSA YREVSC YSALECOST YSPCOST YSPREADRT YSPWGHT YSRC YSTPCOSTT YSTRCOSTT YSTRHRCT YSTWGHT YVOLUME YWHLSALER YALLOC Dimensions Name
Time* Event Type* Company Code* Position ID* Profit Center* Product Name* Channel Code/Name*

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Net Standard Margin (CM3) Other Cost Other Income Principal Amount Periodic Funding Costing Prime Rate Provision Refinancing Amount Repo Rate Bank Reserves Revenue Split Acquisition Revenue Split Control Sales Cost Standard Process Cost Spread Rate Spread Weight Standard Risk Cost Standard Proc Cost Tarif Standard Risk Cost Rate Stress Haircut Short Term Weight Volume Whole Sale Rate Allocated Cost
Description
Time Event Type Company Code Position ID Profit Center Product Name Channel Code/Name

YNSM YOTHCOST YOTHINCM YPAMOUNT YPFC YPRIMERT YPROVIS YREFAMNT YREPORT YRESERVES YREVSA YREVSC YSALECOST YSPCOST YSPREADRT YSPWGHT YSRC YSTPCOSTT YSTRCOSTT YSTRHRCT YSTWGHT YVOLUME YWHLSALER YALLOC
Mapping
Connection Type Name of the Report NXI_TS NXI_EVTTYPE NXI_COMPCODE NXI_POSID NXI_PROFITC NXI_PRODUCT NXI_CHANNEL

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Customer Id*

Customer Id

Agency ID/Code*

Agency ID/Code

Flow ID*

Flow ID

Curve ID*

Curve ID

Transaction Currency*

Transaction Currency

Curve Type*

Curve Type

Banking Product Type*

Banking Product Type

Sub Product Type*

Sub Product Type

Location Country*

Location Country

Location City*

Location City

Security Type [Trading]*

Security Type [Trading]

Trading Instrument ID*

Trading Instrument ID

Trading Security Issuer*

Trading Security Issuer

Credit Quality [trading security]*

Credit Quality [trading security]

Trading Desk Name [ City Name]*

Trading Desk Name [ City Name]

Portfolio Name*

Portfolio Name

Instrument Type*

Instrument Type

Additional Notes about the model

Provide additional information about the model (if needed).

NXI_CUSID NXI_AGCID NXI_FLWID NXI_CRVID NXI_CURR NXI_CRVTYPE NXI_PRODTYPE NXI_SUB_PRODTYPE YLOCATION YLOCATIONCITY SECURITYTYPE CH_INSTRUM_ID CH_ISSUER CH_CRED_QUAL CH_DESK CH_TRAD_PORTF CH_INSTRUM_TYPE

 Note
* Private dimension and other dimensions are public.

Customers should have SAP Performance Management for Banking at their end. The above profitability model is designed to work with a Hana database table/view which should have the above columns.
Clients can create this table/view as per their table structure. The only condition is, they should contain all the columns which are defined in above list.

3.2.4.2 General ­ Financial Statement Model for Banking Profitability (SAP__FS_GEN_IM_GENERALLEDGER)
For Details about this model, please check model SAP__FI_GEN_IM_GENERALLEDGER

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SAP__FS_GEN_IM_GENERALLEDGER

Connection

 SAP Finance: General ­ Financial statement model for banking profitability
 Planning Enabled: Yes

 Local File based on SAP S/4HANA for Banking  Use CDS view 2CCFITRIALBALQ0001

3.2.4.3 Sub Ledger Model from Smart AFI (SAP__FS_GEN_IM_SMARTAFISLPD)

SAP__FS_GEN_IM_SMARTAFISLPD
 Sub ledger model from Smart AFI  Planning Enabled: Yes

Account Dimension ID Amount_in_Transaction_Currency Amount_in_Functional_Currency PeriodFiscal_Year Nominal_Amount Product_Segment Dimensions Name

Description Amount_in_Transaction_Currency Amount_in_Functional_Currency PeriodFiscal_Year Nominal_Amount Product_Segment
Description

Time* Posting Date G/L AccountDescription G/L Account Business Transaction ID Contract ID Profit Center Description Trans. Type Amount in Transaction Currency Transaction Currency Amount in Functional Currency

Time Posting Date G/L AccountDescription G/L Account Business Transaction ID Contract ID Profit Center Description Trans. Type Amount in Transaction Currency Transaction Currency Amount in Functional Currency

Connection  Local File based on SAP S/4HANA
for Banking  Use CDS View 2CCFITRIAL
BALQ0001
Mapping/Formula Amount_in_Transaction_Currency Amount_in_Functional_Currency PeriodFiscal_Year Nominal_Amount Product_Segment
Mapping Connection Type Name of the Report NXI_TS Posting Date G/L AccountDescription G/L Account Business Transaction ID Contract ID Profit Center Description Trans. Type Amount in Transaction Currency Transaction Currency Amount in Functional Currency

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Functional CurrencySubledger Account Functional CurrencySubledger Account Functional CurrencySubledger Account

Description Subledger Acct

Description Subledger Acct

Description Subledger Acct

Description Prodctn

Description Prodctn

Description Prodctn

ControlBusiness Partner

ControlBusiness Partner

ControlBusiness Partner

Description Industry Seg.

Description Industry Seg.

Description Industry Seg.

Debit/Credit Flag

Debit/Credit Flag

Debit/Credit Flag

Posting Record

Posting Record

Posting Record

Description

Description

Description

Product SegmentDescription Lifecycle Product SegmentDescription Lifecycle Product SegmentDescription Lifecycle

Seg.

Seg.

Seg.

ID of Organizational Unit

ID of Organizational Unit

ID of Organizational Unit

Description Organiz. Unit ID

Description Organiz. Unit ID

Description Organiz. Unit ID

Asset/Liability Status

Asset/Liability Status

Asset/Liability Status

Accounting System

Accounting System

Accounting System

/B20/S_MOVE_TYPE

/B20/S_MOVE_TYPE

/B20/S_MOVE_TYPE

Accrual Status

Accrual Status

Accrual Status

Banking/Trading Book

Banking/Trading Book

Banking/Trading Book

BT Posting Direction

BT Posting Direction

BT Posting Direction

BT Source System

BT Source System

BT Source System

Chart of accounts

Chart of accounts

Chart of accounts

Classification

Classification

Classification

Contract Category

Contract Category

Contract Category

Contract StatusCurrency - Nominal Amount

Contract StatusCurrency - Nominal Amount

Contract StatusCurrency - Nominal Amount

Description /B20/S_MOVE_TYPE

Description /B20/S_MOVE_TYPE

Description /B20/S_MOVE_TYPE

Description Accountg System

Description Accountg System

Description Accountg System

Description Accrual Status

Description Accrual Status

Description Accrual Status

Description Asset/Liab. Status

Description Asset/Liab. Status

Description Asset/Liab. Status

Description Book

Description Book

Description Book

Description BT Posting Dir.

Description BT Posting Dir.

Description BT Posting Dir.

Description Classification

Description Classification

Description Classification

Description Contract Cat.

Description Contract Cat.

Description Contract Cat.

Description Contract Status

Description Contract Status

Description Contract Status

Description Debit/Credit

Description Debit/Credit

Description Debit/Credit

Description Impairment Status

Description Impairment Status

Description Impairment Status

Description Inverter

Description Inverter

Description Inverter

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Description Legal Entity Description Partner LE Description Postproc. Stat. Description Reset Document Description Reversal Bus. Trans. Description S/L Acct Crcy Description Sec. Acct Trans Role Description Securities Acct Cat. Description Securities Stat Description Tax Country Description Write-Dwn Stat. Document Date Financial Instrument ID Industry Industry Segment Industry System Instrument Type Inverted Doc. Ref. Inverting Document Legal Entity Lifecycle Segment Nominal Amount Process Step ID Product Segment Production Control Business Area Transaction Type Write-Down Status City_Region City_Name City_Lat City_Long LOB Impairment Status Master Rating Customer Rating

Description Legal Entity Description Partner LE Description Postproc. Stat. Description Reset Document Description Reversal Bus. Trans. Description S/L Acct Crcy Description Sec. Acct Trans Role Description Securities Acct Cat. Description Securities Stat Description Tax Country Description Write-Dwn Stat. Document Date Financial Instrument ID Industry Industry Segment Industry System Instrument Type Inverted Doc. Ref. Inverting Document Legal Entity Lifecycle Segment Nominal Amount Process Step ID Product Segment Production Control Business Area Transaction Type Write-Down Status City_Region City_Name City_Lat City_Long LOB Impairment Status Master Rating Customer Rating

Description Legal Entity Description Partner LE Description Postproc. Stat. Description Reset Document Description Reversal Bus. Trans. Description S/L Acct Crcy Description Sec. Acct Trans Role Description Securities Acct Cat. Description Securities Stat Description Tax Country Description Write-Dwn Stat. Document Date Financial Instrument ID Industry Industry Segment Industry System Instrument Type Inverted Doc. Ref. Inverting Document Legal Entity Lifecycle Segment Nominal Amount Process Step ID Product Segment Production Control Business Area Transaction Type Write-Down Status City_Region City_Name City_Lat City_Long LOB Impairment Status Master Rating Customer Rating

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Customer Segments

Customer Segments

Description Market Conformity

Description Market Conformity

Market Conformity

Market Conformity

Description Process Step ID

Description Process Step ID

Fiscal Year

Fiscal Year

ID of Reference Bus.Trans

ID of Reference Bus.Trans

ID of Reversed BT

ID of Reversed BT

Transaction Key

Transaction Key

Customer Name

Customer Name

Additional Notes about the model

Provide additional information about the model (if needed).

 Note
* Private dimension and other dimensions are public.

Customer Segments Description Market Conformity Market Conformity Description Process Step ID Fiscal Year ID of Reference Bus.Trans ID of Reversed BT Transaction Key Customer Name

3.2.4.4 Value Drive Tree Model for Banking Profitability (SAP__FS_IM_BANKSPROFITVDT)

SAP__FS_IM_BANKSPROFITVDT
 Value drive tree model for banking profitability  Planning Enabled: Yes

Account Dimension ID KF_CLSNG_PRC KF_FACE_VALUE KF_MARKET_VALUE KF_TRADE_PL NXI_ALLOCF NXI_ASSET NXI_CRVDCR NXI_CRVRATE NXI_CRVTERM NXI_FCCOST

Description Closing Price Face/Notional Value Market Value Trading Profit/Loss Amount Allocation Factor AI Asset Curve Discount Rat Curve Rate Curve Term Fee & Commission Cos

Connection  Local File based SAP FS Perform
ance management (FS-PER)  Custom HANA view
Mapping/Formula KF_CLSNG_PRC KF_FACE_VALUE KF_MARKET_VALUE KF_TRADE_PL NXI_ALLOCF NXI_ASSET NXI_CRVDCR NXI_CRVRATE NXI_CRVTERM NXI_FCCOST

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NXI_FCINCOME NXI_INTASSR NXI_INTLIABR NXI_LIAB NXI_NPASSET NXI_PAYMENT NXI_QA TRADINGINCOME YBALANCE YBASERATE YBEHRCT YCC YCCNPV YDURATION YECOT YEVENTTER YEXPFEE YEYRATE YFINCOST YFTPRATE YGMCOST YHRCOST YINCFEE YINTAMT YINTEXP YINTINC YITCOST YLIBORMRT YLOCAITONLAT YLOCATIONLONG YLPRATE YLTWGHT YMFC YMSPREAD YNCM YNIM

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Fee & Commission Inc Interest Rate Asset Interest Rate Liabil AI Liability NP Asset Payment Quantity Trading Income Balance Strip Funding FTP Base Rate BE Haircut Capital Growth Capital Growth NPV Duration Effective Capital over Time Event Term Expense Fee Effective Yield Rate Finance Cost FTP Rate GM Cost HR Cost Income Fee Interest Amount Interest Expense Interest Income IT Cost YLIBORMRT YLOCAITONLAT YLOCATIONLONG 1 Month LIBOR Rate Long Term Weight Marginal Funding Curve Margin Spread Net Commissions Margin (CM2) Net Interest Margin (CM1)

NXI_FCINCOME NXI_INTASSR NXI_INTLIABR NXI_LIAB NXI_NPASSET NXI_PAYMENT NXI_QA TRADINGINCOME YBALANCE YBASERATE YBEHRCT YCC YCCNPV YDURATION YECOT YEVENTTER YEXPFEE YEYRATE YFINCOST YFTPRATE YGMCOST YHRCOST YINCFEE YINTAMT YINTEXP YINTINC YITCOST YLIBORMRT YLOCAITONLAT YLOCATIONLONG YLPRATE YLTWGHT YMFC YMSPREAD YNCM YNIM

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YNINTINC YNOM YNONINTINC YNPVS YNSM YOTHCOST YOTHINCM YPAMOUNT YPFC YPRIMERT YPROVIS YREFAMNT YREPORT YRESERVES YREVSA YREVSC YSALECOST YSPCOST YSPREADRT YSPWGHT YSRC YSTPCOSTT YSTRCOSTT YSTRHRCT YSTWGHT YVOLUME YWHLSALER YALLOC DRV0000 DRV00001 DRV00002 DRV00003 DRV00004 DRV00005 DRV00006 DRV00007
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Net Interest Income Net Overall Margin (CM4) Non Interest Income (Net) Present Value Sum Net Standard Margin (CM3) Other Cost Other Income Principal Amount Periodic Funding Costing Prime Rate Provision Refinancing Amount Repo Rate Bank Reserves Revenue Split Acquisition Revenue Split Control Sales Cost Standard Process Cost Spread Rate Spread Weight Standard Risk Cost Standard Proc Cost Tarif Standard Risk Cost Rate Stress Haircut Short Term Weight Volume Whole Sale Rate Allocated Cost Drivers Growth Rate % Sales Cost Growth Rate % Other Cost Growth Rate % IT Cost Growth Rate % HR Cost Growth Rate % GM Cost Growth Rate % Finance Cost Growth Rate %

YNINTINC YNOM YNONINTINC YNPVS YNSM YOTHCOST YOTHINCM YPAMOUNT YPFC YPRIMERT YPROVIS YREFAMNT YREPORT YRESERVES YREVSA YREVSC YSALECOST YSPCOST YSPREADRT YSPWGHT YSRC YSTPCOSTT YSTRCOSTT YSTRHRCT YSTWGHT YVOLUME YWHLSALER YALLOC DRV0000 DRV00001 DRV00002 DRV00003 DRV00004 DRV00005 DRV00006 DRV00007

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DRV00008 DRV00009 DRV00010 DRV00011 DRV00012 DRV00013 DRV00014 DRV00015 DRV00016 Profit Dimensions Name Time* NXI_EVTTYPE NXI_COMPCODE NXI_POSID NXI_PROFITC NXI_PRODUCT NXI_CHANNEL NXI_CUSID NXI_AGCID NXI_FLWID NXI_CRVID NXI_CURR NXI_CRVTYPE NXI_PRODTYPE NXI_SUB_PRODTYPE YLOCATION YLOCATIONCITY SECURITYTYPE CH_INSTRUM_ID CH_ISSUER CH_CRED_QUAL CH_DESK CH_TRAD_PORTF CH_INSTRUM_TYPE

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Fee & Comn Cost Growth Rate % Interest Expense Growth Rate % Provisions Growth Rate % Non-Interest Income Growth Rate % Other Income Growth Rate % Interest Income Growth Rate % Fee&Comn Income Growth Rate % Operating Income Growth Rate % Operating Expense Growth Rate % Profit

DRV00008 DRV00009 DRV00010 DRV00011 DRV00012 DRV00013 DRV00014 DRV00015 DRV00016 Profit

Description Time Event Type Company Code Position ID Profit Center Product Name Channel Code/Name Customer Id Agency ID/Code Flow ID Curve ID Transaction Currency Curve Type Banking Product Type Sub Product Type Location Country Location City Security Type [Trading] Trading Instrument ID Trading Security Issuer Credit Quality [trading security] Trading Desk Name [ City Name] Portfolio Name Instrument Type

Mapping NXI_TS NXI_EVTTYPE NXI_COMPCODE NXI_POSID NXI_PROFITC NXI_PRODUCT NXI_CHANNEL NXI_CUSID NXI_AGCID NXI_FLWID NXI_CRVID NXI_CURR NXI_CRVTYPE NXI_PRODTYPE NXI_SUB_PRODTYPE YLOCATION YLOCATIONCITY SECURITYTYPE CH_INSTRUM_ID CH_ISSUER CH_CRED_QUAL CH_DESK CH_TRAD_PORTF CH_INSTRUM_TYPE

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Additional Notes about the model Provide additional information about the model (if needed).
 Note
* Private dimension and other dimensions are public.
Customers should have SAP Performance Management for Banking at their end. The above profitability model is designed to work with a Hana database table/view which should have the above columns. Clients can create this table/view as per their table structure. The only condition is, they should contain all the columns which are defined in above list.

3.2.4.5 Clients Exposure Model for Liquidity Management (SAP__FS_LH_CLIENTEXPOSURES)

SAP__FS_LH_CLIENTEXPOSURES
 Clients exposure model for liquidity management  Planning Enabled: No

Account Dimension ID

Description

BOOKEDINAMOUNT BOOKEDOUTAMOUNT CLIENTEXPOSURE OPENINGBALANCE Dimensions Name

Booked IN amount Booked OUT amount Client exposures Clients opening balance for the day
Description

Time* CURRENCY* CHANNELID* BRANCH* STREAMCUSTOMER* STREAMCLASSIFICATIONTYPE2*

Time Currency Channels Branch Stream Customer name Classification type

Connection  Live Data Connection to SAP
HANA (Use connection SAPLM as described in chapter 6.2.3.4)  HANA View: LIQ_CLIENTSEXPO SURES
Mapping/Formula not required for Live Data
Mapping not required for Live Data

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Additional Notes about the model Provide additional information about the model (if needed).
 Note
* Private dimension and other dimensions are public.

3.2.4.6 Liquidity Positions Model for Liquidity Management (SAP__FS_LMS_LH_LIQPOSITIONS)

SAP__FS_LMS_LH_LIQPOSITIONS
 Liquidity positions model for liquidity management  Planning Enabled: No

Account Dimension ID

Description

CALCULATEDACTUALCASH CALCULATEDFORECASTCASH CASHLIMIT CASHPLEDGEDAMOUNT UNENCUMBEREDBALANCE Dimensions Name

Actual cash Forecast cash Cash Limit Pledged Cash Amount Collateral Amount
Description

Time*

Time

CURRENCY*

Currency

CHANNELID*

Channels

BRANCH*

Branch

Additional Notes about the model

Provide additional information about the model (if needed).

 Note
* Private dimension and other dimensions are public.

Connection  Live Data Connection to SAP
HANA (Use connection SAPLM as described in chapter 6.2.3.4)  HANA View: LIQ_POSITIONS_ALL
Mapping/Formula not required for Live Data
Mapping not required for Live Data VALUEDATE

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3.2.4.7 Transnational Throughput's Model for Liquidity Management (SAP__FS_LMS_LH_THROUGHPUTS)

SAP__FS_LMS_LH_THROUGHPUTS
 Transnational throughput's model for liquidity management  Planning Enabled: No

Account Dimension ID

Description

ACTUALPAYMENTAMOUNT ACTUALRECEIPTS TRANX_IN_DENOMINATOR TRANX_OUT_DENOMINATOR IN OUT Dimensions Name

Actual payment amount Actual receipt amount Calculated column 1 Calculated column 2 Calculated IN rate Calculated OUT rate
Description

Time*

Time

CURRENCY*

Currency

CHANNELID*

Channels

BRANCH*

Branch

Additional Notes about the model

Provide additional information about the model (if needed).

 Note
* Private dimension and other dimensions are public.

Connection  Live Data Connection to SAP
HANA (Use connection SAPLM as described in chapter 6.2.3.4)  HANA View: LIQ_THROUGHPUTS
Mapping/Formula not required for Live Data
Mapping not required for Live Data VALUEDATE

3.2.4.8 Operational KPI`s Model for Liquidity Management (SAP__FS_LMS_LH_TXNSTATISTICS)

SAP__FS_LMS_LH_TXNSTATISTICS

Connection

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 Operational KPI`s model for Liquidity Management  Planning Enabled: No

Account Dimension ID

Description

CLASSIFICATIONAMOUNT Dimensions Name

Classified Amount Description

Time*

Time

CURRENCY*

Currency

CHANNELID*

Channels

BRANCH*

Branch

Additional Notes about the model

Provide additional information about the model (if needed).

 Note
* Private dimension and other dimensions are public.

 Live Data Connection to SAP HANA (Use connection SAPLM as described in chapter 6.2.3.4)
 HANA View: LIQ_TRANSAC TIONS_STATISTICS
Mapping/Formula not required for Live Data
Mapping not required for Live Data VALUEDATE

3.2.4.9 Liquidity Model for LMS Counterparties (SAP__FS_LMS_LH_COUNTERPARTIES)

SAP__FS_LMS_LH_COUNTERPARTIES
 Liquidity model for LMS counterparties  Planning Enabled: No

Account Dimension ID
ACTUALAMOUNT

Description Actual movement amount

Connection  Live Data Connection to SAP
HANA (Use connection SAPLM as described in chapter 6.2.3.4)  HANA View: LIQ_COUNTERPAR TIES
Mapping/Formula not required for Live Data

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EXPECTEDAMOUNT FORECASTAMOUNT Dimensions Name

Expected movement amount Forecast movement amount
Description

Time*

Time

CURRENCY*

Currency

CHANNELID*

Channels

BRANCH*

Branch

COUNTERPARTY*

Counterparty

Additional Notes about the model

Provide additional information about the model (if needed).

 Note
* Private dimension and other dimensions are public.

Mapping not required for Live Data VALUEDATE

3.3 Chemicals (CHEM) 3.3.1 Architecture
Architecture

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3.3.2 Dashboard
The following Digital Boardroom Dashboard is available SAP_CHEM_Dashboard.
In the topic Pipeline Health, the healthiness of the sales pipeline is checked and analysed for an chemical example company. This future oriented analysis of the sales pipeline is based on opportunities by time, market segments, customer region, and material groups. As time dimensions the current quarter and the next three quarters are offered.
Opportunities represent potential sales, are usually maintained by the salespeople and include information on the target customer, products/materials that are positioned and the expected sales value. Each opportunity has information on the sales phase or status it is in which relates to a defined probability of success.
The expected revenue multiplied with this probability is the weighted revenue of the opportunity. So, an opportunity in an early sales phase has a lower probability of success than when the offer is officially placed. The monitoring of the pipeline funnel gives insights into the question if enough opportunities are identified and being worked on to fulfil the revenue targets.
For the current quarter, more information can be analysed as the opportunities can already have the status lost or won and the reasons for this result can be analysed.
For analyzing the pipeline healthiness also, the weighted revenue is compared to the forecasted revenue and the planned revenue targets.
The Story Pipeline Health is built based on SAP Hybris Cloud for Customer Analytics data extract. Reports created in SAP Hybris Cloud for Customer can be consumed by SAP Analytics Cloud as queries and updated on constant basis. The reporting functions of SAP Hybris Cloud for Customer allow easy creation of custom report by copying existing reports and adding or removing characteristics and key figures.

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The building blocks are shown in the following diagram:

3.3.3 Stories
The following stories are part of the chemicals content package:  SAP Chemicals: General - Overview (SAP__CHEM_GEN_OVERVIEW)  SAP Chemicals Finance (SAP__CHEM_GEN_FINANCE)  SAP Chemicals: Human Resources (SAP__CHEM_HR_HR)  SAP Chemicals: Pipeline Health (SAP__CHEM_PIP_ANALYSIS)

3.3.3.1 Portfolio Performance (SAP__CHEM_PRT_PORTFOLIO_PERF)
In the agenda item Portfolio Performance of this board meeting, the portfolio performance of the chemical example company is assessed. This future oriented analysis of the product portfolio is based on the product margins by time, business area, region, market segments, and material groups. As time dimensions the 12 months of the current year are offered.
The story on the portfolio performance is built mainly based on S/4HANA financial data extract and for the definition of the innovation materials the material attribute is extracted.

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The building blocks are shown in the following diagram:

3.3.3.2 Portfolio - Market Analysis (SAP__CHEM_PRT_MARKETANALYSIS)
Name: SAP__CHEM_PRT_MARKETANALYSIS Description: SAP Chemicals: Portfolio - Market Analysis All charts in this story use the model SAP__CHEM_PRT_IM_MARKETANALYSE Page ­ Market Overview for Coatings Here we see the volume and revenue of Coatings for the different Market segments it is sold to for the country UK. Charts My Total Coatings Marketshare These 2 sliders can be used to dynamically set the Market Share of Coatings for this company in country UK for current and previous year. We provide this as a slider to be able to simulate the effects based on Marketshare selected. Volume per Market This chart shows the volume of coatings sold for each Market Segment for the current year and variance with the previous year. My Materials Market Share This chart shows the market share for each specific material and deviation from previous year's market share. Contribution Margin per Market

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Name: SAP__CHEM_PRT_MARKETANALYSIS
For each Market, this chart shows its contribution margin, share and market growth since last year.
Contribution Margin per Customer Group
For each Customer Group belonging to a market, this chart shows its revenue and Contribution Margin vs growth.
Net Revenue by Customer Group
For each Customer Group belonging to a market, this chart shows its Contribution Margin w.r.t revenue and COGS for the current year.
Forecasted Contribution Margin by Customer Group
Based on the Market Share simulation and Market Production Forecast, the Contribution Margin is forecasted for each Cus tomer Group for individual Market segments.
Page ­ Market Analysis for Coatings
In this page, the details of Coatings sold by my company in country UK for the different Market Segments is shown. This page is designed to provide a swim lane for each of the Market Segments Building, Automotive, and Industrial. For sake of simplicity in reading, we will explain the charts for Building Market segment. The other swim lanes have identical charts only the market segments are different.
Charts
Building Production Trend
A trend of Building Production is shown based on external data source. Additionally, forecast till end of the year is provided by the Predictive capabilities of SAP Analytics Cloud. This forecast information is valuable in forecasting our net revenue for this market segment.
Building Units Produced
This chart shows total units produced this year and variance with previous year.
My Volume per Unit
Current year's volume of coating I have sold for each Building unit produced and variance with previous year.
My Revenue per Unit
Current year's revenue of coating I have sold for each Building unit produced and variance with previous year.
Revenue - Top 5 Materials
Revenue generated by Top 5 Materials this year and its variance with previous year.
Contribution Margin per Material
Contribution Margin generated per Material for current and previous year.
For most chemical companies, critical resources such as capital, capacity, and people are not abundant. One of the most important functions of senior management then is to ensure that these scarce resources are put to best effect to both maximize shareholder return while enabling profitable and sustainable growth.
These analytics are the most challenging one for senior management. To efficiently allocate resources in this complex environment, companies must possess both a granular understanding of each key markets as well as a forward view of how those markets will develop. These data should be combined with internal cost structure, margin, and other data to allow an assessment not only about a market position of a product (group) but also about internal levers how to react on market challenges.

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The story Market Analysis is built based on the following architecture:

3.3.3.3 Health & Safety - Incidents (SAP__CHEM_EHS_HS_INCIDENTS)
For a description of the Story and the models used please check the following chapter: Environment, Health and Safety Management (EHS)

3.3.4 Models
3.3.4.1 Pipeline Health, Opportunity Analysis and Pipeline Funnel (SAP__CHEM_PIP_IM_ANALYSIS)
This story assumes, that the customer is using SAP Sales Cloud, Cloud for Customer. As you can see in the in the System Requirements and Technical Prerequisites, the data acquisition from SAP Hybris Cloud for Customer is based on OData connection. Create a connection between SAP Analytics Cloud and SAP Sales Cloud, Cloud for Customer to import data from customized OData sources. For further information on how to setup the connection please follow the link and in addition see the link: Import Data Connection to OData services.

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For general information on SAP Sales Cloud, Cloud for Customer please follow the link to the SAP Help Portal.
Integration help for SAP Sales Cloud, Cloud for Customer is provided by this link. Integration guides and additional resources are published on SAP Service Marketplace in English.
Functional Prerequisites on SAP Hybris Cloud for Customer side:
 For analyzing the pipeline health as shown on the overview screen, the customer has to use the Sales Planning and Sales Target Planning.
 For analyzing the opportunities, the opportunity management has to be used including the key figures and characteristics described below.

Model Name: SAP__CHEM_PIP_IM_ANALYSIS

 Model Description: SAP Chemicals: Pipeline Health, Opportunity Analysis, and Pipeline Funnel
 Planning Enabled: No

Account* ID Weighted_Revenue Expected_Revenue Number_Opportunities Item_Revenue Dimensions ID Time* SAP_ALL_CUSTOMER SAP_CHEM_PIP_Owner

Description Weighted Revenue Expected Revenue Number of Opportunities Item Revenue
Description Time Customer Owner

SAP_CHEM_PIP_Status SAP_CHEM_PIP_OpportunityName SAP_ALL_MATERIALGROUP SAP_ALL_MATERIAL SAP_ALL_SEGMENT SAP_CHEM_PIP_WinLossReason SAP_CHEM_PIP_SalesPhase SAP_ALL_BUSINESSAREA SAP_CHEM_PIP_Source SAP_ALL_CUSTOMERREGION SAP_ALL_CUSTOMERCOUNTRY SAP_CHEM_PIP_Probability Additional Notes about the model

Status Opportunity Name Material Group Material Segment Win/Loss Reason Sales Phase Business Area Source Customer Region Customer Country Probability

Connection Connection Type: Import: ODATA (SAP Sales Cloud ­ Cloud for Customer)
Formula/Mapping Weighted Value (key figure) Expected Value (key figure) Number of Opportunities (key figure) Item Value (key figure)
Mapping Close Date Id (characteristic) Account ID (characteristic) Employee Responsible ID (characteris tic) Lifecycle Status ID (characteristic) Opportunity ID (characteristic) Product Category ID (characteristic) Product ID (characteristic) Industry ID (characteristic) Reason for Status ID(characteristic) Sales Phase ID (characteristic) Sales Unit ID (characteristic) Source ID (characteristic) Territory ID (characteristic) Country ID (characteristic) Probability (key figure)

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Model Name: SAP__CHEM_PIP_IM_ANALYSIS

Connection

Please pay attention that the Probability field in SAP Analytics Cloud is modelled as a dimension and not used in calcula tions, while it is represented as a key figure in SAP Sales Cloud, Cloud for Customer.

 Note
* Private dimension and other dimensions are public.

3.3.4.2 Pipeline Health Forecast (SAP__CHEM_PIP_IM_FORECAST)

Model Name: SAP__CHEM_PIP_IM_FORECAST

Connection

 Model Description: SAP Chemicals: Pipeline Health Forecast  Planning Enabled: No

Account ID Weighted Revenue Forecast_Revenue Pipeline_Revenue

Description Weighted Revenue Forecast Revenue Pipeline Revenue

Dimensions ID Time Additional Notes about the model

Description Time

Connection Type: Import: ODATA (SAP Sales Cloud, Cloud for Customer) See details in additional comments be low
Formula/Mapping Weighted Value (key figure) Forecast Revenue (key figure) Target Quota / Target Revenue (key fig ure)
Mapping Close Date ID (characteristic)

Connection Report: New report created in SAP Sales Cloud, Cloud for Customer based on the data source: Opportunity, Forecast, and Sales Planning (select and deselect the key figures and Characteristics according to the list below).
Comment: As we only used very limited data in the chart, the model is very thin with limited measures and dimensions. But the Forecast Report offered by SAP Sales Cloud, Cloud for Customer offers much more measures (called key figures by SAP Sales Cloud, Cloud for Customer) and dimensions (called characteristics) that can be used to create a more compre hensive model and more detailed charts in the customer project if requested.

 Note
* Private dimension and other dimensions are public.

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3.3.4.3 Portfolio Performance ­ Growth Products (SAP__CHEM_PRT_IM_MATERIAL)

Model Name: SAP__CHEM_PRT_IM_MATERIAL

Connection

 Model Description: SAP Chemicals: Portfolio Performance, Growth Products Connection Types  Planning Enabled: No

Account* ID Count
InnovationSales

Description Count
Innovation Sales

CoreSales

Core Sales

Sales

Sales

Dimensions ID Time* SAP_ALL_MATERIAL SAP_CHEM_PRT_Innovation

Description Time Material Innovation

Additional Notes about the model Provide additional information about the model (if needed).

Formula/Mapping
Set to constant value "1" (instead of mapping)
Link([t.S.SAP__FI_GEN_IM_GENERAL LEDGER:SAP__FI_GEN_IM_GENERAL LEDGER];[INT/00015703010000]; [t.S:SAP_ALL_MATERIAL(all)], [t.S:SAP_CHEM_PRT_Innovation=Inno vation])
Link([t.S.SAP__FI_GEN_IM_GENERAL LEDGER:SAP__FI_GEN_IM_GENERAL LEDGER];[INT/00015703010000]; [t.S:SAP_ALL_MATERIAL(all)], [t.S:SAP_CHEM_PRT_Innova tion=Core])
Link([t.S.SAP__FI_GEN_IM_GENERAL LEDGER:SAP__FI_GEN_IM_GENERAL LEDGER];[INT/00015703010000]; [t.S:SAP_ALL_MATERIAL(all)], [Time(all)],[t.S:SAP_CHEM_PRT_Inno vation=Innovation])
Mapping
0MATERIAL_ATTR
Custom (indication of innovative mate rial)

 Note
* Private dimension and other dimensions are public.

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3.3.4.4 Portfolio Performance ­ Market Analysis (SAP__CHEM_PRT_IM_MARKETANALYSIS)
The model is very similar to the model SAP__FI_GEN_IM_GENERALLEDGER described in section 5.1.4.1. For all purposes of uploading data please refer to the mentioned section. The differences are the following:  The account dimension is not a global dimension but a private dimension.  There is 1 additional account member EXTPROD in the account dimension. The purpose of having this is to
be able to populate market production data available from external sources.  Data regarding production for a market segment can be loaded using an excel file or OData service into the
model. The data should be loaded with the option Append.  The structure of data import for EXTPROD is
Date Country Material Group Segment EXTPROD
3.4 Consumer Products
3.4.1 Architecture
The Consumer Products Dashboard covers the following topics:  Finance  Marketing (Market Shares)  HR  Sales (Sales fulfillment)

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Architecture

3.4.2 Dashboard
The dashboard which provides the insights is: SAP_CP_Dashboard

3.4.3 Stories
SAP Consumer Products: General - Overview (SAP__CP_GEN_OVERVIEW) Purpose: The overview page provides the most relevant Key Performance Indicators (KPI) from Lines of Business Human Resource, Sales, and Marketing and Finance. SAP Consumer Products: Financial Performance (SAP__CP_FI_FINPERFORMANCE) This story is an enhancement of story SAP__FI_GEN_FINPERFORMANCE (for details compare chapter 5.5.3). Basically, the story is enhanced by the page Growth Analysis External, which shows drivers of KPI Net Sales Growth, i.e. organic sales growth, acquisitions/divestments, and currency. Additionally, some pages are adapted to CP specific requirements, showing breakdowns to other more CP specific dimensions.
 Note
Compared to story SAP__FI_GEN_FINPERFORMANCE this story is using the additional model SAP__FI_SALES_GROWTH (for details, see below).
SAP Consumer Products: Marketing ­ Market Research (SAP__CP_MKT_MARKETRESEARCH) This story analyses the value/volume market share for your own company and compares your own company's market share to competitor's market share.

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SAP Consumer Products: General ­ Macroeconomics (SAP__CP_GEN_MACROECONOMICS)
This is story illustrates some macroeconomic KPI's such as Gross Domestic Product, Income per Capita, Consumer Confidence Index, and others. It is using external non-SAP data.
SAP Consumer Products: General - Netsales Simulation (SAP__CP_GEN_NETSALES)
This story is an example on how to use a value driver tree (VDT) to simulate the development over time of a target key figure by changing influencers (or drivers). In the VDT of this story the target KPI is Net Sales (in VDT called Net Revenue), which is calculated by Gross Revenue, Deductions. The drivers in the VDT are Media Spend Growth, Price Growth, and Trade Allowances Growth. These drivers change Gross Revenue (Trade Allowances Growth also Deductions). The VDT offers the opportunity to simulate the time evolution of net sales by changing driver values.
SAP Consumer Products: General - Sales Volume (SAP__CP_GEN_SALESVOLUME)
Main purpose of stories SAP__CP_SD_SALESVOLUME is to provide insights into current status of sales by analyzing KPIs
 Sales Volume: net sales of delivered and billed sales order item  Open Deliveries: net sales of delivered but not billed sales order item  Open Orders: net sales of not delivered and not billed sales order item.
SAP Consumer Products: Human Resources (SAP__CP_HR_BOARDROOM)
This is a copy of the story SAP__HR_GEN_HR (SAP Human Resources: General).

3.4.4 Models

3.4.4.1 Sales ­ Growth ­ (SAP__FI_SALES_IM_GROWTH)

This model is a copy of model SAP__FI_GEN_IM_GENERALLEDGER. This copy was enhanced by:  Currency conversion (using currency conversion table SAP_ALL_CURRENCY)  CP specific measures: Organic sales growth
This chapter only describes the enhancement to model SAP__FI_GEN_IM_GENERALLEDGER.

Model Name: SAP__FI_SALES_IM_GROWTH

 Model Description: Model Description: SAP Finance: Sales ­ Growth  Planning Enabled: Yes

G/L Account ID AD1 AD2 AD3 AD4

Description A&D Sales revenues-dom. A&D Sales revenue-forgn A&D Customer discounts A&D Other costs

Connection Compare SAP__FI_GEN_IM_GENERAL LEDGER for connection and mapping
Formula/Mapping

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Model Name: SAP__FI_SALES_IM_GROWTH

Connection

AD5

A&D Consumptn, raw mat.1

AD6

A&D Net Sales

[ACQ6]+[DIV6]

AD7

A&D Net Sales

[AD6]*(-1)

ACQ1

Acquisitions Sales revenues-dom.

ACQ2

Acquisitions Sales revenue-forgn

ACQ3

Acquisitions Customer discounts

ACQ4

Acquisitions Other costs

ACQ5

Acquisitions Consumptn, raw mat.1

ACQ6

Acquisitions Net Sales

[ACQ1]+[ACQ2]-[ACQ3]

DIV1

Divestments Sales revenues-dom.

DIV2

Divestments Sales revenue-forgn

DIV3

Divestments Customer discounts

DIV4

Divestments Other costs

DIV5

Divestments Consumptn, raw mat.1

DIV6

Divestments Net Sales

[DIV1]+[DIV2]-[DIV3]

NS

Net Sales

[F26]

OS

Organic Sales

[F26]-[AD6]

OS_CC

Organic Sales

LOOKUP([OS] ,[d/Version]= "pub lic.Constant Currency" ,[d/Version] )

OS_CURR_QRT

Organic Sales Current Quarter

LOOKUP([OS_CC] ,[d/Time]="20173" , [d/Time] )

OS_PAST_QRT

Organic Sales Past Quarter

LOOKUP([OS_CC] ,[d/Time]="20163" , [d/Time] )

OSG_CURR_QRT

Organic Sales Growth Current Quarter ([OS_CURR_QRT]-[OS_PAST_QRT])/ [OS_PAST_QRT]

OS_CURR_YTD

Organic Sales Current YTD

LOOKUP([OS_CC] ,[d/ Time]=("20171","20172","20173") ,[d/ Time] )

OS_PAST_YTD

Organic Sales Past YTD

LOOKUP([OS_CC] ,[d/ Time]=("20161","20162","20163") ,[d/ Time] )

OSG_CURR_YTD

Organic Sales Growth Current YTD

([OS_CURR_YTD]-[OS_PAST_YTD])/ [OS_PAST_YTD]

NS_CC

Net Sales Constant Currency

LOOKUP([F26] ,[d/Version]= "pub lic.Constant Currency" ,[d/Version] )

NS_CC_CURR_QRT

Net Sales CC Current Quarter

LOOKUP([NS_CC] ,[d/Time]="20173" , [d/Time] )

NS_CC_PAST_QRT

Net Sales CC Past Quarter

LOOKUP([NS_CC] ,[d/Time]="20163" , [d/Time] )

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Model Name: SAP__FI_SALES_IM_GROWTH

NSG_CC_CURR_QRT

Net Sales Growth CC Current Quarter

NS_CC_CURR_YTD

Net Sales CC Current YTD

NS_CC_PAST_YTD

Net Sales CC Past YTD

NSG_CC_CURR_YTD

Net Sales Growth CC Current YTD

OSG_NSGCC_CURR_QRT OSG_NSGCC_CURR_YTD NS_CURR_QRT NS_PAST_QRT NSG_CURR_QRT NS_CURR_YTD

A&D Effect Current Quarter A&D Effect Current YTD Net Sales Current Quarter Net Sales Past Quarter Net Sales Growth Current Quarter Net Sales Current YTD

NS_PAST_YTD

Net Sales Past YTD

NSG_CURR_YTD
NSCC_NS_CURR_QRT
NSCC_NS_CURR_YTD
NSG_HIER1 OSG AD CC NSG_HIER2 OSG_2 AD_2 CC_2

Net Sales Growth Current YTD
Currency Effect Current Quarter
Currency Effect Current YTD
Sales YTD Organic A & D Currency Sales Q3 Organic A & D Currency

Connection
([NS_CC_CURR_QRT][NS_CC_PAST_QRT])/ [NS_CC_PAST_QRT]
LOOKUP([NS_CC] ,[d/ Time]=("20171","20172","20173") ,[d/ Time] )
LOOKUP([NS_CC] ,[d/ Time]=("20161","20162","20163") ,[d/ Time] )
([NS_CC_CURR_YTD][NS_CC_PAST_YTD])/ [NS_CC_PAST_YTD]
[NSG_CC_CURR_QRT][OSG_CURR_QRT]
[NSG_CC_CURR_YTD][OSG_CURR_YTD]
LOOKUP([F26] ,[d/Time]="20173" ,[d/ Time] )
LOOKUP([F26] ,[d/Time]="20163" ,[d/ Time] )
([NS_CURR_QRT]-[NS_PAST_QRT])/ [NS_PAST_QRT]
LOOKUP([F26] ,[d/ Time]=("20171","20172","20173") ,[d/ Time] )
LOOKUP([F26] ,[d/ Time]=("20161","20162","20163") ,[d/ Time] )
([NS_CURR_YTD]-[NS_PAST_YTD])/ [NS_PAST_YTD]
[NSG_CURR_QRT][NSG_CC_CURR_QRT]
[NSG_CURR_YTD][NSG_CC_CURR_YTD]
[NSG_CURR_YTD]
[OSG_CURR_YTD]
[OSG_NSGCC_CURR_YTD]
[NSCC_NS_CURR_YTD]
[NSG_CURR_QRT]
[OSG_CURR_QRT]
[OSG_NSGCC_CURR_QRT]
[NSCC_NS_CURR_QRT]

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Model Name: SAP__FI_SALES_IM_GROWTH

Dimensions

ID

Description

Time*

Time

(generic name)*

GL Account

SAP_ALL_BUSINESSAREA

Business Area

SAP_ALL_COMPANY_CODE

Legal Entity

SAP_ALL_COUNTRY

Country

SAP_ALL_CUSTOMERGROUP

Customer Group

SAP_ALL_MATERIAL

Material

SAP_ALL_MATERIALGROUP

Material Group

SAP_ALL_PLANT

Plant

SAP_ALL_PROFITCENTER

Profit Center

SAP_ALL_REGION

Region

SAP_ALL_SEGMENT

Segment

Additional Notes about the model

Connection Mapping

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Connection

Organic Sales Growth:
For organic sales growth, the following calculation is applied (compare for example, calculated account OSG_CURR_QRT):
Organic sales growth (CP) = [Net Sales CP (with FX rates of PP) ­ A&D Net Sales CP (with FX rates of PP)] ­[Net Sales PP (with FX rates of PP) ­ A&D Net Sales PP (with FX rates of PP)]
with CP: Current period, PP: Previous period, A&D: Acquisitions & Divestments, and FX: Foreign exchange.
According to this formula it is for example necessary to apply the exchange rate of a previous period (for example, 2017) to net sales of current period (for example, 2018). This is not the default how currency conversion behaves. The default cur rency conversion would take the exchange rate valid to the date when net sales occurred. For example: Net sales in Euro occurring in 2017 will be converted into US Dollar using exchange rate 1.1, and net sales in Euro occurring in 2018 will be converted into US Dollar using exchange rate 1.15 according to the last two lines in figure 3. But for the organic sales growth formula for net sales occurred in 2018, the exchange rate of 2017 must be taken. To fulfill this requirement two additional lines were added to the currency table which have the value Planning in column Category. Now, for model SAP__FI_SALES_GROWTH, a version of category Planning with name Constant Currency is added. For this version, values in source currencies to be converted into target currency USD (for example, EUR) are currency converted using exchange rates as defined in the currency conversion table, i.e. the lines with Category = Planning. For example: Net sales in EUR occurred in 2018 are converted into USD using exchange rate 1.1 (so not 1.15). This is exactly the requirement of the organic sales growth formula.
Figure 1: Currency conversion table

Accounts AD1, AD2, AD3, AD4, and AD5 contain the domestic/foreign sales revenue, customer discounts, other costs, and raw material costs for the sales of the acquired (acquisitions) and sold (divestments) units (similar to the accounts INT/ 0000800000, INT/0000801000, INT/0000880000, INT/0000476900, and INT/0000400000). Accounts ACQ1, ACQ2, ACQ3, ACQ4, ACQ5 and DIV1, DIV2, DIV3, DIV4, DIV5 hold the same information separated for ac quired and sold units. Compared to model SAP__FI_GEN_IM_GENERALLEDGER  The following dimensions are not available: Customer, Cost Center, and Supplier  Account dimension is private (not public)
 Note
* Private dimension and other dimensions are public.

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3.4.4.2 Marketing ­ Market Research (SAP__CP_MKT_IM_MARKETRESEARCH)

Model Name: SAP__CP_MKT_IM_MARKETRESEARCH

 Model Description: Description of Model  Planning Enabled: No/Yes

Account ID VALUE VOLUME PRICE MY_VAL

Description Sales Volume Avg. Price My Sales

MY_VAL_MS GT_VAL VAL_MS MY_VOL

My Value Market Share Grand Total (Sales) Value Market Share My Volume

MY_VOL_MS Dimensions ID
Time* Account Dimension* SAP_ALL_COUNTRY SAP_ALL_BRAND SAP_ALL_MATERIALGROUP SAP_ALL_MANUFACTURER Additional Notes about the model

My Volume Market Share
Description Time Market Research Account Country Brand Material Group Manufacturer

Connection Connection Types
Formula/Mapping
[VALUE]/[VOLUME] RESTRICT([VALUE] ,[d/ SAP_ALL_MANUFACTURER]= 'M1' ) [MY_VAL]/[VALUE] GrandTotal([VALUE] ) [VALUE]/[GT_VAL] RESTRICT([VOLUME] ,[d/ SAP_ALL_MANUFACTURER]='M1') [MY_VOL]/[VOLUME]
Mapping

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Model Name: SAP__CP_MKT_IM_MARKETRESEARCH

Connection

Please note that for measures MY_VAL and MY_VOL there is a restriction of dimension Manufacturer to value M1. Please adapt these formulas with the value of your company.
Unfortunately, there is no standard query delivered by SAP available to feed the model. But it is very easy to create an ap propriate query.
Open the SAP BEx Query Designer to create a new query. Search for the InfoProvider /DDF/CP03.
Add the following key figures:  /DDF/GMSVAL Global Market Research: Sales (Value)  /DDF/GMSVOL Global Market Research: Sales (Volume)
Add the following dimensions:  /DDF/MANGM_TXT (Global Manufacturer)  /DDF/BRAGM_TXT (Global Brand)  0COUNTRY (Country)  /DDF/PCAGM_TXT (Global Category)  0CALMONTH (Cal. year / month)
Save the new query. Your new query should look like this:

Figure 2: Key figures and dimension of the custom query.

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 Note
* Private dimension and other dimensions are public.

3.4.4.3 General - Macroeconomics (SAP__CP_GEN_IM_MACROECONOMICS)

Model Name: SAP__CP_GEN_IM_MACROECONOMICS

Connection

 Model Description: SAP Consumer Products: General - Macroeconomics  Planning Enabled: No

 Connection Type: File upload  Source of Import: External (non-
SAP) data

Macroeconomics Account* ID GDP UNEMP INFLATION CPINCOME CONSUMPTION CCI Dimensions ID Time SAP_ALL_Country

Description

Formula/Mapping

Gross Domestic Product

Matching field in file

Unemployment

Matching field in file

Inflation

Matching field in file

Income Per Capita

Matching field in file

Household Consumption Expenditures Matching field in file

Consumer Confidence Index

Matching field in file

Description Time Country

Mapping Matching field in file Matching field in file

 Note
* Private dimension and other dimensions are public.

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3.4.4.4 Sales Volume and Open Sales (SAP__SD_GEN_IM_SALESVOLUME)

Model Name: SAP__SD_GEN_IM_SALESVOLUME

Connection

 Model Description: SAP Sales & Distribution: Sales Vol ume and Open Sales
 Planning Enabled: No

 Connection Type: SAP BW Connection  Source of Import: CDS View Analytics - Sales Volume
and Open Sales (2CCSDSLSANALYTICQ1)  Technical name of Info Provider: 2CISDSLSANACUBE1  Connection Variables:
 Exchange Rate Type: Please choose a valid ex change rate type (for example, M)
 Currency: The displayed currency has to map the currency in the target model. Model SAP Sales & Distribution - Sales Volume uses currency the USD (US Dollar).

Sales Volume Account* ID SALES_VOL OPEN_DEL

Description Sales Volume Open Deliveries

OPEN_ORDERS

Open Orders

Dimensions

ID

Description

Time*

Time

SAP_ALL_COMPANY_CODE Company Code

SAP_ALL_COUNTRY

Country

SAP_ALL_CUSTOMER

Customer

SAP_ALL_CUSTOMER GROUP

Customer Group

SAP_ALL_DISTRIBUTION CHANNEL

Distribution Channel

SAP_ALL_MATERIAL

Material

SAP_ALL_MATERIALGROUP Material Group

SAP_ALL_SALESORGANISA Sales Organisation TION

Formula/Mapping Sales Volume ELTUIDCMP14 Open Deliveries EL TUIDCMP8 Open Orders ELTUIDCMP5
Mapping Month of Billing Navigation attribute Com pany Code of dimension Sales Organization Navigation attribute Country of dimension Sold-to-Party Sold-to-Party Customer Group
Distribution Channel
Material Material Group Sales Organisation

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Model Name: SAP__SD_GEN_IM_SALESVOLUME SAP_ALL_BUSINESSAREA Business Area

Connection

 Note
* Private dimension and other dimensions are public.

This dimension is not availa ble in the data source. Please set '#' ("Unassigned") as de fault value

3.4.4.5 Value Driver Tree: SAP__CP_GEN_NETSALES

General Remarks:
The value driver tree (VDT) simulates the growth of net revenue by means of the following drivers:
 Price Driver  Media Spend Driver  Allowances Driver
Net revenue is calculated as follows:
Net revenue = gross revenue ­ deductions = (sales revenue domestic + sales revenue foreign) ­ customer discounts
Underlying model
All the data for the Value Driver Tree is retrieved from the model SAP__FI_GEN_IM_GENERALLEDGER. For this purpose, this model was enhanced.
The documentation for model SAP__FI_GEN_IM_GENERALLEDGER can be found in the following chapter: SAP Finance: General- Financial Statement with Plan/Actual (SAP__FI_GEN_IM_GENERALLEDGER)
 A new public version Simulation of category Planning was created. This version was created as a copy of version Actual.
 Dimension GL Account was enhanced by additional members (measures).

ID VDT VDT_CP VDT_CP_MS VDT_CP_P VDT_CP_PR VDT_CP_PR2 VDT_CP_PR3 VDT_CP_AL

Description Value Drivers Value Drivers ­ Consumer Products Media Spend Driver Price Driver Price Response Price Response 2 Price Response 3 Allowances Driver

Usage Hierarchy node Hierarchy node Driver node Driver node For calculating price elasticity For calculating price elasticity For calculating price elasticity Driver node

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ID VDT_CP_ALR
VDT_CP_NET

Description Allowances Response
Net Sales

Usage
Applying optional correction factor to allowance driver (here: 0,5)
Account for net sales

 Values for measures Media Spend Driver, Price Driver, and Allowances Driver were maintained for several material groups into model version Simulation, i.e. drivers are material group specific (compare figure).

Figure 3: Example values for the drivers Price Driver, Media Spend Driver, and Allowances Driver are maintained for members of dimension Material Group.
Value driver tree
Simulation of net revenue growth is calculated separately for each member of dimension Material Group maintained for model SAP__FI_GEN_IM_GENERALLEDGER. The top node of the VDT aggregates all material group specific net revenues into a total Net Revenue node.
Price Elasticity:
The values p of driver node Price Growth (<material group>) are corrected by a calculated factor c that takes price elasticity e into account, so not p is applied but peff = p * c:
peff = {[ (1 + p/100) * (1 + ep/100)] - 1} * 100
= (1 + ep/100 + p/100 + ep2/1002 - 1) * 100

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= ep + p + ep2/100 = p (1 + e + ep/100) = p * c VDT SAP__CP_GEN_NETSALES is using e = -0,1. Example: a price growth of p = 5% is corrected to peff = 4,48%. When opening the VDT (following the path Browse  Processes  Value Driver Trees) you will find the calculations on the Calculation view (compare figure).
Figure 4: Modeling of price elasticity
3.5 Customer Profitability Analytics (CPA)
3.5.1 Architecture and Abstract
The SAP Analytics Cloud Standard Content for CPA provides an out of the box view for the Telco's to monitor their AMPU and ARPU on a monthly basis. A detailed picture of the Margin breakdown with respect to their Product Offerings and few other KPIs such as Region, Sales Channels are also provided. Appropriate filters based on Total Margin and Relevant Margin are also applied for relevant charts such as the heat map to provide a concise breakdown for the Margin Assurance and product teams to investigate and act upon based on these KPIs and trends shown through this dashboard.

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Architecture

3.5.2 Prerequisite
You should have installed CPA (CPA 2.1 or higher) Application with Container (Schema) name as: SAP_BDPT. Demo data has to be distributed equally into analytics tables from Execute Operational Activities tile of CPA Application when you want to explore CPA Standard Content with its sample demo data.
 Note
In case of CPA installation other than Container/Schema SAP_BDPT:  You should have SAP Analytics Cloud >= wave 2019.05

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 From SAP Analytics Cloud with Wave 2019.05, the SAP Analytics Cloud Models for CPA with Schema other than SAP_BDPT will display a warning as shown below:

 You can change its underlying Data Source by mapping it to its exact Schema  If you have already imported previous version of SAP Analytics Cloud Standard Content for CPA (in the
name of BDMA), you should overwrite when importing the SAP Analytics Cloud Standard Content to get the latest updated Story and Models.
 HANA 2.0 with > Rev 33

3.5.3 Stories
 SAP CPA: Margin Dashboard (SAP__CPA_TEL_MARGIN_DASHBOARD_LIVE)
The Story consists of three pages namely: Executive Summary, Margin Breakdown - Products, and Margin Breakdown - Miscellaneous.
Executive Summary:
This story page consists of the following three lanes:
AMPU and ARPU - The lane is broken down into two sections. The first section gives the overview of the AMPU and ARPU for the current month along with the MoM (Month on Month) AMPU Growth number and the AMPU for the previous month to indicate the overall growth or decline in AMPU
AMPU growth = [AMPU of current month - AMPU previous month] / abs (AMPU of previous month)
The second section in this lane has a trend chart for a period of 6 months to compare on a MoM (Month on Month) basis between AMPU and ARPU
Subscriber and Margin Trends. The first section in this lane shows a comparison trend between subscriptions and Total Margin. The next section compares unprofitable subscriptions with Total Margin. Both the trend charts are for a period of 6 months.
Product Margins: The last lane of the Executive Summary Page shows the comparison of Revenue and Total Margin aggregated for different product offerings. There are two charts in this lane, and both are meant for giving a very high-level breakdown of Revenue drivers vs. the Margin Drivers. Both the charts in this lane show information for the current month.
Margin Breakdown ­ Products:
This story page consists of the following two lanes as mentioned below and predominantly focuses on providing a high-level overview of how various products fare against each other based on Margin.

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Margins by Products:
This lane consists of a bubble chart. Bottom 20 least performing products based on their Relative Margin are plotted in the chart. Note that the X-Axis is the Total Margin while the Y-Axis is the Relative Margin.
Margins by multiple dimensions: This lane consists of two heat maps. The overall idea is to show how bottom 20 products based on Relative Margin by breaking it down to their respective Sales Channel (in the first chart) or their Region (in the second chart).
 Note
The data shown in this story page is for the current month. Also, in a few lanes of the story page Relative Margin alone is considered, whereas in a few others both Relative Margin and Total Margin are considered.
Margin Breakdown - Miscellaneous:
This story page gives a very crisp overview of what all Sales channels, Region and Customer Type impacts Margin the most. There are 3 sections / charts in this lane. The first bubble chart plots the bottom 20 Sales channel based on their Total Margin (X-Axis) and Relative Margin (Y-Axis). The second bubble chart plots the bottom 20 Regions on their Total Margin (X-Axis) and Relative Margin (Y-Axis). For both these bubble filter bottom 20 is applied on Total Margin metric. The third chart in the lane is the heatmap plotted with Sales Channel (X-Axis) and Customer Type (Y-Axis).
 Note
The data shown in this story page is for the current month. Also, in a few lanes of the story page Relative Margin alone is considered, whereas in a few others both Relative Margin and Total Margin are considered.

Measure Name AMPU Current Month AMPU previous month AMPU growth AMPU current month

Type Restricted Measure Calculated Measure Calculated Measure Threshold

Average Margin per User

Calculated Measure

Formula/Properties
Measure [Average Margin per User] Re stricted by Dimension [Month] on value [201703]
Measure [Average Margin per User] Re stricted by Dimension [Month] on value [201702]
- Measure ([AMPU Current Month]AMPU previous month]) / ABS([AMPU previous month])
Compare To: Number Range
OK: >= 10
Warnings: >=0 and < 10
Critical: < 10
[SAP__CPA_LH_TEL_CRS_COUNT:TO TAL_MARGIN_AMOUNT]/ [SAP__CPA_LH_TEL_CRS_COUNT:Sub scriptions]

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Measure Name Relative Margin

Type Calculated Measure

Formula/Properties
[SAP__CPA_LH_TEL_CRS_AGGRE GATE:TOTAL_MARGIN_AMOUNT]/ [SAP__CPA_LH_TEL_CRS_AGGRE GATE:REVENUE_AMOUNT]

3.5.4 Models
3.5.4.1 Telecommunications - Average Margin Per User (SAP__CPA_LH_TEL_AVG_MARGIN)

Model Name: Technical Name of Model

Connection

 Model Description: SAP CPA: Telecommunications - Average Margin Per User  Connection Type: Direct - SAP

 Planning Enabled: No

HANA Live Data Connection with Authentication Method SAML Sin

gle Sign On

 Connection Name: SAPCPA (SAP CPA: Customer Profitability Analyt ics)

 Calculation View: SAP_BDPT.sap.bdpt.hana.public model::CV_AVERAGE_MAR GIN_PER_USER

Measures ID AVERAGE_MARGIN_PER_USER

Description Average Margin per User

NUMBER_OF_SUBSCRIPTIONS TOTAL_MARGIN_AMOUNT Dimensions Name VALID_FOR_MONTH

Number of Subscriptions Total Margin
Description Month

Mapping/Formula Threshold: Critical: AVERAGE_MARGIN_PER_USER<=0 Warning: 0< AVERAGE_MARGIN_PER_USER<=8 OK: 8< AVERAGE_MARGIN_PER_USER NUMBER_OF_SUBSCRIPTIONS TOTAL_MARGIN_AMOUNT
Mapping VALID_FOR_MONTH

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Model Name: Technical Name of Model

CURRENCY

Currency

Connection CURRENCY

3.5.4.2 Telecommunications - Aggregate CRS Table (SAP__CPA_LH_TEL_CRS_AGGREGATE)

Model Name: Technical Name of Model

Connection

 Model Description: SAP CPA: Telecommunications - Aggregate CRS Table  Planning Enabled: No

 Connection Type: Direct - SAP HANA Live Data Connection with Authentication Method SAML Sin gle Sign On
 Connection Name: SAPCPA (SAP CPA: Customer Profitability Analyt ics)
 Calculation View: SAP_BDPT.sap.bdpt.hana.public model::CV_CRS_AGGREGATE

Measures

ID

Description

Mapping/Formula/Threshold

ACQUISITION_COST_AMOUNT

ACQUISITION_COST_AMOUNT

ACQUISITION_COST_AMOUNT

ACQUISITION_NON_SPE CIFIC_COST_AMOUNT

ACQUISITION_NON_SPE CIFIC_COST_AMOUNT

ACQUISITION_NON_SPE CIFIC_COST_AMOUNT

ACTIVATION_COST_AMOUNT

ACTIVATION_COST_AMOUNT

ACTIVATION_COST_AMOUNT

ACTIVATION_FEE_REVENUE_AMOUNT ACTIVATION_FEE_REVENUE_AMOUNT ACTIVATION_FEE_REVENUE_AMOUNT

BAD_DEBT_DIRECT_COST_AMOUNT BAD_DEBT_DIRECT_COST_AMOUNT BAD_DEBT_DIRECT_COST_AMOUNT

BASE_CHARGE_AFTER_DIS COUNT_AMOUNT

Base Charge after Discount

BASE_CHARGE_AFTER_DIS COUNT_AMOUNT

Threshold

Critical:

BASE_CHARGE_AFTER_DIS COUNT_AMOUNT < 0

Warning:

0 < =

BASE_CHARGE_AFTER_DIS COUNT_AMOUNT < 5000000

OK : 5000000 < BASE_CHARGE_AF TER_DISCOUNT_AMOUNT

BASE_CHARGE_DISCOUNT_AMOUNT BASE_CHARGE_DISCOUNT_AMOUNT BASE_CHARGE_DISCOUNT_AMOUNT

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Model Name: Technical Name of Model

Connection

BASE_CHARGE_REVENUE_AMOUNT
BONUS_POINT_PAYMENT_AMOUNT
BUNDLE_CHARGE_REVE NUE_AMOUNT
BUNDLE_DISCOUNT_AMOUNT
COMMISSION_DI RECT_COST_AMOUNT
CONTENT_BASE_CHARGE_DIS COUNT_AMOUNT
CONTENT_BASE_CHARGE_REVE NUE_AMOUNT
CONTENT_DIRECT_COST_AMOUNT
CONTENT_DURATION_USAGE
CONTENT_EVENT_USAGE
CONTENT_MARGIN_AMOUNT

Base Charge
BONUS_POINT_PAYMENT_AMOUNT
BUNDLE_CHARGE_REVE NUE_AMOUNT
BUNDLE_DISCOUNT_AMOUNT
COMMISSION_DI RECT_COST_AMOUNT
CONTENT_BASE_CHARGE_DIS COUNT_AMOUNT
CONTENT_BASE_CHARGE_REVE NUE_AMOUNT
CONTENT_DIRECT_COST_AMOUNT
CONTENT_DURATION_USAGE
CONTENT_EVENT_USAGE
Content Margin

BASE_CHARGE_REVENUE_AMOUNT BONUS_POINT_PAYMENT_AMOUNT BUNDLE_CHARGE_REVE NUE_AMOUNT BUNDLE_DISCOUNT_AMOUNT COMMISSION_DI RECT_COST_AMOUNT CONTENT_BASE_CHARGE_DIS COUNT_AMOUNT CONTENT_BASE_CHARGE_REVE NUE_AMOUNT CONTENT_DIRECT_COST_AMOUNT CONTENT_DURATION_USAGE CONTENT_EVENT_USAGE
CONTENT_MARGIN_AMOUNT

Threshold: Critical

CONTENT_MARGIN_AMOUNT< 200000

Warning: 200000 <= CONTENT_MAR GIN_AMOUNT< 1000000

OK: 1000000 <=CONTENT_MAR GIN_AMOUNT

CONTENT_REVENUE_AMOUNT

CONTENT_REVENUE_AMOUNT

CONTENT_REVENUE_AMOUNT

CONTENT_VOLUME_USAGE

CONTENT_VOLUME_USAGE

CONTENT_VOLUME_USAGE

CREDIT_NOTE_COST

CREDIT_NOTE_COST

CREDIT_NOTE_COST

CUSTOMER_ASSIGNABLE_COST

CUSTOMER_ASSIGNABLE_COST

CUSTOMER_ASSIGNABLE_COST

CUSTOMER_ASSIGNABLE_NON_SPE CUSTOMER_ASSIGNABLE_NON_SPE CUSTOMER_ASSIGNABLE_NON_SPE

CIFIC_COST

CIFIC_COST

CIFIC_COST

CUSTOMER_SERVICE_COST

CUSTOMER_SERVICE_COST

CUSTOMER_SERVICE_COST

DATA_REVENUE_AMOUNT

DATA_REVENUE_AMOUNT

DATA_REVENUE_AMOUNT

DATA_USAGE

DATA_USAGE

DATA_USAGE

DIRECT_COST_AMOUNT

DIRECT_COST_AMOUNT

DIRECT_COST_AMOUNT

DIRECT_MARGIN_AMOUNT

DIRECT_MARGIN_AMOUNT

DIRECT_MARGIN_AMOUNT

DISCOUNT_AMOUNT

DISCOUNT_AMOUNT

DISCOUNT_AMOUNT

EVENT

EVENT

EVENT

EXACT_DURATION

EXACT_DURATION

EXACT_DURATION

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Model Name: Technical Name of Model

Connection

HARDWARE_BASE_CHARGE_DIS COUNT_AMOUNT

HARDWARE_BASE_CHARGE_DIS COUNT_AMOUNT

HARDWARE_BASE_CHARGE_DIS COUNT_AMOUNT

HARDWARE_DIRECT_COST_AMOUNT HARDWARE_DIRECT_COST_AMOUNT HARDWARE_DIRECT_COST_AMOUNT

HARDWARE_REVENUE_AMOUNT

HARDWARE_REVENUE_AMOUNT

HARDWARE_REVENUE_AMOUNT

INDIRECT_COST_AMOUNT

INDIRECT_COST_AMOUNT

INDIRECT_COST_AMOUNT

INTERCARRIER_COST_AMOUNT

INTERCARRIER_COST_AMOUNT

INTERCARRIER_COST_AMOUNT

INTERCARRIER_MESSAGING_DI RECT_COST_AMOUNT

INTERCARRIER_MESSAGING_DI RECT_COST_AMOUNT

INTERCARRIER_MESSAGING_DI RECT_COST_AMOUNT

INTERCARRIER_MESSAGING_REVE NUE_AMOUNT

INTERCARRIER_MESSAGING_REVE NUE_AMOUNT

INTERCARRIER_MESSAGING_REVE NUE_AMOUNT

INTERCARRIER_MESSAGING_USAGE INTERCARRIER_MESSAGING_USAGE INTERCARRIER_MESSAGING_USAGE

INTERCARRIER_NON_SPE CIFIC_COST_AMOUNT

INTERCARRIER_NON_SPE CIFIC_COST_AMOUNT

INTERCARRIER_NON_SPE CIFIC_COST_AMOUNT

INTERCARRIER_NON_SPECIFIC_REVE INTERCARRIER_NON_SPECIFIC_REVE INTERCARRIER_NON_SPECIFIC_REVE

NUE_AMOUNT

NUE_AMOUNT

NUE_AMOUNT

INTERCARRIER_REVENUE_AMOUNT INTERCARRIER_REVENUE_AMOUNT INTERCARRIER_REVENUE_AMOUNT

INTERCARRIER_VOICE_DI RECT_COST_AMOUNT

INTERCARRIER_VOICE_DI RECT_COST_AMOUNT

INTERCARRIER_VOICE_DI RECT_COST_AMOUNT

INTERCARRIER_VOICE_REVE NUE_AMOUNT

INTERCARRIER_VOICE_REVE NUE_AMOUNT

INTERCARRIER_VOICE_REVE NUE_AMOUNT

INTERCARRIER_VOICE_USAGE

INTERCARRIER_VOICE_USAGE

INTERCARRIER_VOICE_USAGE

INTERCONNECT_COST_AMOUNT

INTERCONNECT_COST_AMOUNT

INTERCONNECT_COST_AMOUNT

INTERCONNECT_MESSAGING_DI RECT_COST_AMOUNT

INTERCONNECT_MESSAGING_DI RECT_COST_AMOUNT

INTERCONNECT_MESSAGING_DI RECT_COST_AMOUNT

INTERCONNECT_MESSAGING_REVE INTERCONNECT_MESSAGING_REVE INTERCONNECT_MESSAGING_REVE

NUE_AMOUNT

NUE_AMOUNT

NUE_AMOUNT

INTERCONNECT_NON_SPE CIFIC_COST_AMOUNT

INTERCONNECT_NON_SPE CIFIC_COST_AMOUNT

INTERCONNECT_NON_SPE CIFIC_COST_AMOUNT

INTERCONNECT_NON_SPECIFIC_REV INTERCONNECT_NON_SPECIFIC_REV INTERCONNECT_NON_SPECIFIC_REV

ENUE_AMOUNT

ENUE_AMOUNT

ENUE_AMOUNT

INTERCONNECT_REVENUE_AMOUNT INTERCONNECT_REVENUE_AMOUNT INTERCONNECT_REVENUE_AMOUNT

INTERCONNECT_VOICE_DI RECT_COST_AMOUNT

INTERCONNECT_VOICE_DI RECT_COST_AMOUNT

INTERCONNECT_VOICE_DI RECT_COST_AMOUNT

INTERCONNECT_VOICE_REVE NUE_AMOUNT

INTERCONNECT_VOICE_REVE NUE_AMOUNT

INTERCONNECT_VOICE_REVE NUE_AMOUNT

MESSAGING_REVENUE_AMOUNT

MESSAGING_REVENUE_AMOUNT

MESSAGING_REVENUE_AMOUNT

MESSAGING_USAGE

MESSAGING_USAGE

MESSAGING_USAGE

NETWORK_INDIRECT_COST_AMOUNT NETWORK_INDIRECT_COST_AMOUNT NETWORK_INDIRECT_COST_AMOUNT

NON_SPECIFIC_DATA_USAGE

NON_SPECIFIC_DATA_USAGE

NON_SPECIFIC_DATA_USAGE

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Model Name: Technical Name of Model

Connection

NON_SPECIFIC_DI RECT_COST_AMOUNT

NON_SPECIFIC_DI RECT_COST_AMOUNT

NON_SPECIFIC_DI RECT_COST_AMOUNT

NON_SPECIFIC_DISCOUNT_AMOUNT NON_SPECIFIC_DISCOUNT_AMOUNT NON_SPECIFIC_DISCOUNT_AMOUNT

NON_SPECIFIC_DURATION_USAGE NON_SPECIFIC_DURATION_USAGE NON_SPECIFIC_DURATION_USAGE

NON_SPECIFIC_EVENT_USAGE

NON_SPECIFIC_EVENT_USAGE

NON_SPECIFIC_EVENT_USAGE

NON_SPECIFIC_INDI RECT_COST_AMOUNT

NON_SPECIFIC_INDI RECT_COST_AMOUNT

NON_SPECIFIC_INDI RECT_COST_AMOUNT

NON_SPECIFIC_MESSAGING_USAGE NON_SPECIFIC_MESSAGING_USAGE NON_SPECIFIC_MESSAGING_USAGE

NON_SPECIFIC_PAYMENT_AMOUNT NON_SPECIFIC_PAYMENT_AMOUNT NON_SPECIFIC_PAYMENT_AMOUNT

NON_SPECIFIC_REVENUE_AMOUNT NON_SPECIFIC_REVENUE_AMOUNT NON_SPECIFIC_REVENUE_AMOUNT

NON_SPECIFIC_VOICE_USAGE

NON_SPECIFIC_VOICE_USAGE

NON_SPECIFIC_VOICE_USAGE

NON_SPECIFIC_VOLUME_USAGE

NON_SPECIFIC_VOLUME_USAGE

NON_SPECIFIC_VOLUME_USAGE

NON_USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

NON_USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

NON_USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

NON_USAGE_REVENUE_AMOUNT

NON_USAGE_REVENUE_AMOUNT

NON_USAGE_REVENUE_AMOUNT

OFF_NET_MESSAGING_USAGE

OFF_NET_MESSAGING_USAGE

OFF_NET_MESSAGING_USAGE

OFF_NET_VOICE_USAGE

OFF_NET_VOICE_USAGE

OFF_NET_VOICE_USAGE

ONE_OFF_DIRECT_COST_AMOUNT ONE_OFF_DIRECT_COST_AMOUNT ONE_OFF_DIRECT_COST_AMOUNT

ONE_OFF_DISCOUNT_AMOUNT

ONE_OFF_DISCOUNT_AMOUNT

ONE_OFF_DISCOUNT_AMOUNT

ONE_OFF_FEE_REVENUE_AMOUNT ONE_OFF_FEE_REVENUE_AMOUNT ONE_OFF_FEE_REVENUE_AMOUNT

ON_NET_DATA_REVENUE_AMOUNT ON_NET_DATA_REVENUE_AMOUNT ON_NET_DATA_REVENUE_AMOUNT

ON_NET_DATA_USAGE

ON_NET_DATA_USAGE

ON_NET_DATA_USAGE

ON_NET_MESSAGING_REVE NUE_AMOUNT

ON_NET_MESSAGING_REVE NUE_AMOUNT

ON_NET_MESSAGING_REVE NUE_AMOUNT

ON_NET_MESSAGING_USAGE

ON_NET_MESSAGING_USAGE

ON_NET_MESSAGING_USAGE

ON_NET_NON_SPECIFIC_REVE NUE_AMOUNT

ON_NET_NON_SPECIFIC_REVE NUE_AMOUNT

ON_NET_NON_SPECIFIC_REVE NUE_AMOUNT

ON_NET_REVENUE_AMOUNT

ON_NET_REVENUE_AMOUNT

ON_NET_REVENUE_AMOUNT

ON_NET_VOICE_REVENUE_AMOUNT ON_NET_VOICE_REVENUE_AMOUNT ON_NET_VOICE_REVENUE_AMOUNT

ON_NET_VOICE_USAGE

ON_NET_VOICE_USAGE

ON_NET_VOICE_USAGE

OPERATIONAL_MARGIN_AMOUNT

OPERATIONAL_MARGIN_AMOUNT

OPERATIONAL_MARGIN_AMOUNT

ORIGINAL_DIRECT_COST_AMOUNT ORIGINAL_DIRECT_COST_AMOUNT ORIGINAL_DIRECT_COST_AMOUNT

ORIGINAL_DISCOUNT_AMOUNT

ORIGINAL_DISCOUNT_AMOUNT

ORIGINAL_DISCOUNT_AMOUNT

ORIGINAL_INDIRECT_COST_AMOUNT ORIGINAL_INDIRECT_COST_AMOUNT ORIGINAL_INDIRECT_COST_AMOUNT

ORIGINAL_REVENUE_AMOUNT

ORIGINAL_REVENUE_AMOUNT

ORIGINAL_REVENUE_AMOUNT

PAYMENT_AMOUNT

PAYMENT_AMOUNT

PAYMENT_AMOUNT

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Model Name: Technical Name of Model

Connection

PRE_DISCOUNT_REVENUE_AMOUNT PRE_DISCOUNT_REVENUE_AMOUNT PRE_DISCOUNT_REVENUE_AMOUNT

PRODUCT_INDIRECT_COST_AMOUNT PRODUCT_INDIRECT_COST_AMOUNT PRODUCT_INDIRECT_COST_AMOUNT

RETENTION_COST_AMOUNT

RETENTION_COST_AMOUNT

RETENTION_COST_AMOUNT

REVENUE_AMOUNT

Revenue

REVENUE_AMOUNT

ROAMING_COST_AMOUNT

ROAMING_COST_AMOUNT

ROAMING_COST_AMOUNT

ROAMING_DATA_DI RECT_COST_AMOUNT

ROAMING_DATA_DI RECT_COST_AMOUNT

ROAMING_DATA_DI RECT_COST_AMOUNT

ROAMING_DATA_REVENUE_AMOUNT ROAMING_DATA_REVENUE_AMOUNT ROAMING_DATA_REVENUE_AMOUNT

ROAMING_IC_MARGIN_AMOUNT

Roaming and IC Margin

ROAMING_IC_MARGIN_AMOUNT

Threshold:

Critical: ROAMING_IC_MAR GIN_AMOUNT<= 5000000

Warning: 5000000< ROAM ING_IC_MARGIN_AMOUNT <= 10000000

OK: 10000000 < ROAMING_IC_MAR GIN_AMOUNT

ROAMING_INVOICED_DATA_USAGE ROAMING_INVOICED_DATA_USAGE ROAMING_INVOICED_DATA_USAGE

ROAMING_INVOICED_MESSAG ING_USAGE

ROAMING_INVOICED_MESSAG ING_USAGE

ROAMING_INVOICED_MESSAG ING_USAGE

ROAMING_INVOICED_VOICE_USAGE ROAMING_INVOICED_VOICE_USAGE ROAMING_INVOICED_VOICE_USAGE

ROAMING_MESSAGING_DI RECT_COST_AMOUNT

ROAMING_MESSAGING_DI RECT_COST_AMOUNT

ROAMING_MESSAGING_DI RECT_COST_AMOUNT

ROAMING_MESSAGING_REVE NUE_AMOUNT

ROAMING_MESSAGING_REVE NUE_AMOUNT

ROAMING_MESSAGING_REVE NUE_AMOUNT

ROAMING_NON_SPE CIFIC_COST_AMOUNT

ROAMING_NON_SPE CIFIC_COST_AMOUNT

ROAMING_NON_SPE CIFIC_COST_AMOUNT

ROAMING_NON_SPECIFIC_REVE NUE_AMOUNT

ROAMING_NON_SPECIFIC_REVE NUE_AMOUNT

ROAMING_NON_SPECIFIC_REVE NUE_AMOUNT

ROAMING_PLAN_MARGIN_AMOUNT ROAMING_PLAN_MARGIN_AMOUNT ROAMING_PLAN_MARGIN_AMOUNT

ROAMING_PLAN_REVENUE_AMOUNT ROAMING_PLAN_REVENUE_AMOUNT ROAMING_PLAN_REVENUE_AMOUNT

ROAMING_REVENUE_AMOUNT

ROAMING_REVENUE_AMOUNT

ROAMING_REVENUE_AMOUNT

ROAMING_VOICE_DI RECT_COST_AMOUNT

ROAMING_VOICE_DI RECT_COST_AMOUNT

ROAMING_VOICE_DI RECT_COST_AMOUNT

ROAMING_VOICE_REVENUE_AMOUNT ROAMING_VOICE_REVENUE_AMOUNT ROAMING_VOICE_REVENUE_AMOUNT

SUBSIDY_DIRECT_COST_AMOUNT

SUBSIDY_DIRECT_COST_AMOUNT

SUBSIDY_DIRECT_COST_AMOUNT

TERMINATION_FEE_REVE NUE_AMOUNT

TERMINATION_FEE_REVE NUE_AMOUNT

TERMINATION_FEE_REVE NUE_AMOUNT

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Model Name: Technical Name of Model

TOP_UP_AMOUNT

TOP_UP_AMOUNT

TOTAL_COST_AMOUNT

Total Cost

TOTAL_MARGIN_AMOUNT

Total Margin

USAGE_COST_AMOUNT

USAGE_COST_AMOUNT

USAGE_DISCOUNT_AMOUNT

USAGE_DISCOUNT_AMOUNT

USAGE_NON_SPE CIFIC_COST_AMOUNT

USAGE_NON_SPE CIFIC_COST_AMOUNT

USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

USAGE_REVENUE_AMOUNT

USAGE_REVENUE_AMOUNT

VAS_DATA_USAGE

VAS_DATA_USAGE

VAS_DIRECT_COST_AMOUNT

VAS_DIRECT_COST_AMOUNT

VAS_MESSAGING_USAGE

VAS_MESSAGING_USAGE

VAS_REVENUE_AMOUNT

VAS_REVENUE_AMOUNT

VAS_VOICE_USAGE

VAS_VOICE_USAGE

VOICE_REVENUE_AMOUNT

VOICE_REVENUE_AMOUNT

VOICE_USAGE

VOICE_USAGE

VOLUME

Volume

Dimensions

Name

Description

VALID_FOR_MONTH

Month

TECHNOLOGY

TECHNOLOGY

SERVICE_SPECIFICATION_TYPE

SERVICE_SPECIFICATION_TYPE

RESOURCE

RESOURCE

CARRIER_ID

CARRIER_ID

THIRD_PARTY_ID

THIRD_PARTY_ID

COST_REV_TYPE

COST_REV_TYPE

CUSTOMER_TYPE

Customer Type

GENDER

GENDER

NATIONALITY

NATIONALITY

CUSTOMER_COUNTRY

CUSTOMER_COUNTRY

POSTCODE

POSTCODE

REGION

REGION

MARITAL_STATUS

MARITAL_STATUS

CUSTOMER_CLASSIFICATION_01

CUSTOMER_CLASSIFICATION_01

Connection TOP_UP_AMOUNT TOTAL_COST_AMOUNT TOTAL_MARGIN_AMOUNT USAGE_COST_AMOUNT USAGE_DISCOUNT_AMOUNT USAGE_NON_SPE CIFIC_COST_AMOUNT USAGE_NON_SPECIFIC_REVE NUE_AMOUNT USAGE_REVENUE_AMOUNT VAS_DATA_USAGE VAS_DIRECT_COST_AMOUNT VAS_MESSAGING_USAGE VAS_REVENUE_AMOUNT VAS_VOICE_USAGE VOICE_REVENUE_AMOUNT VOICE_USAGE VOLUME
Mapping VALID_FOR_MONTH TECHNOLOGY SERVICE_SPECIFICATION_TYPE RESOURCE CARRIER_ID THIRD_PARTY_ID COST_REV_TYPE CUSTOMER_TYPE GENDER NATIONALITY CUSTOMER_COUNTRY POSTCODE REGION MARITAL_STATUS CUSTOMER_CLASSIFICATION_01

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Model Name: Technical Name of Model

Connection

CUSTOMER_CLASSIFICATION_02

CUSTOMER_CLASSIFICATION_02

CUSTOMER_CLASSIFICATION_02

CUSTOMER_CLASSIFICATION_03

CUSTOMER_CLASSIFICATION_03

CUSTOMER_CLASSIFICATION_03

CUSTOMER_CLASSIFICATION_04

CUSTOMER_CLASSIFICATION_04

CUSTOMER_CLASSIFICATION_04

CUSTOMER_CLASSIFICATION_05

CUSTOMER_CLASSIFICATION_05

CUSTOMER_CLASSIFICATION_05

CUSTOMER_CLASSIFICATION_06

CUSTOMER_CLASSIFICATION_06

CUSTOMER_CLASSIFICATION_06

BILLING_ACCOUNT_CLASSIFICA TION_01

BILLING_ACCOUNT_CLASSIFICA TION_01

BILLING_ACCOUNT_CLASSIFICA TION_01

BILLING_ACCOUNT_CLASSIFICA TION_02

BILLING_ACCOUNT_CLASSIFICA TION_02

BILLING_ACCOUNT_CLASSIFICA TION_02

SUBSCRIPTION_PRODUCT_OFFER ING_ID

Product Offering

SUBSCRIPTION_PRODUCT_OFFER ING_ID

SUBSCRIPTION_CLASSIFICATION_01 SUBSCRIPTION_CLASSIFICATION_01 SUBSCRIPTION_CLASSIFICATION_01

SUBSCRIPTION_CLASSIFICATION_02 SUBSCRIPTION_CLASSIFICATION_02 SUBSCRIPTION_CLASSIFICATION_02

SUBSCRIPTION_SALES_CHANNEL

Sales Channel

SUBSCRIPTION_SALES_CHANNEL

SUBSCRIPTION_ORG_UNIT

SUBSCRIPTION_ORG_UNIT

SUBSCRIPTION_ORG_UNIT

SUBSCRIPTION_STATUS

SUBSCRIPTION_STATUS

SUBSCRIPTION_STATUS

SUBSCRIPTION_MARKET_ID

SUBSCRIPTION_MARKET_ID

SUBSCRIPTION_MARKET_ID

LOYALTY_STATUS

LOYALTY_STATUS

LOYALTY_STATUS

CARRIER_COUNTRY

CARRIER_COUNTRY

CARRIER_COUNTRY

CARRIER_ROAMING_ZONE

CARRIER_ROAMING_ZONE

CARRIER_ROAMING_ZONE

CARRIER_IS_PREFERRED

CARRIER_IS_PREFERRED

CARRIER_IS_PREFERRED

THIRD_PARTY_TYPE

THIRD_PARTY_TYPE

THIRD_PARTY_TYPE

CLASSIFICATION_01

CLASSIFICATION_01

CLASSIFICATION_01

CLASSIFICATION_02

CLASSIFICATION_02

CLASSIFICATION_02

CLASSIFICATION_03

CLASSIFICATION_03

CLASSIFICATION_03

CLASSIFICATION_04

CLASSIFICATION_04

CLASSIFICATION_04

CLASSIFICATION_05

Item Type 5

CLASSIFICATION_05

CLASSIFICATION_06

CLASSIFICATION_06

CLASSIFICATION_06

SUBSCRIPTION_PRODUCT_GROUP SUBSCRIPTION_PRODUCT_GROUP SUBSCRIPTION_PRODUCT_GROUP

SUBSCRIPTION_PRODUCT_TECHNOL SUBSCRIPTION_PRODUCT_TECHNOL SUBSCRIPTION_PRODUCT_TECHNOL

OGY

OGY

OGY

SUBSCRIPTION_PRODUCT_MAR KET_ID

SUBSCRIPTION_PRODUCT_MAR KET_ID

SUBSCRIPTION_PRODUCT_MAR KET_ID

SUBSCRIPTION_PRODUCT_STATUS SUBSCRIPTION_PRODUCT_STATUS SUBSCRIPTION_PRODUCT_STATUS

CURRENCY

CURRENCY

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3.5.4.3 Telecommunications - CRS Data incl. Subscription Count (SAP__CPA_LH_TEL_CRS_COUNT)

Model Name: Technical Name of Model

Connection

 Model Description: SAP CPA: Telecommunications - CRS Data incl. Subscrip  Connection Type: Direct - SAP

tion Count

HANA Live Data Connection with

 Planning Enabled: No

Authentication Method SAML Sin gle Sign On

 Connection Name: SAPCPA (SAP CPA: Customer Profitability Analyt

ics)

 Calculation View: SAP_BDPT.sap.bdpt.hana.public

model::CV_CRS_COUNT

Measures

ID

Description

ACQUISITION_COST_AMOUNT

Acquisition Cost

ACQUISITION_NON_SPE CIFIC_COST_AMOUNT

Other Acquisition Cost

ACTIVATION_COST_AMOUNT

Activation Cost

BAD_DEBT_DIRECT_COST_AMOUNT Bad Debt

BASE_CHARGE_DISCOUNT_AMOUNT Base Charge Discount

BASE_CHARGE_REVENUE_AMOUNT Base Charge

BONUS_POINT_PAYMENT_AMOUNT Bonus Points Payment

BUNDLE_CHARGE_REVE NUE_AMOUNT

Bundle Charge

BUNDLE_DISCOUNT_AMOUNT

Bundle Discount

COMMISSION_DI RECT_COST_AMOUNT

Commission Cost

CONTENT_DIRECT_COST_AMOUNT Content Cost

CONTENT_DURATION_USAGE

Content Duration Usage

CONTENT_EVENT_USAGE

Content Messaging Usage

CONTENT_REVENUE_AMOUNT

Content Revenue

CONTENT_VOLUME_USAGE

Content Volume Usage

CREDIT_NOTE_COST

Credit Notes Cost

CUSTOMER_ASSIGNABLE_COST

Customer Assignable Cost

CUSTOMER_ASSIGNABLE_NON_SPE Other Customer Assignable Cost CIFIC_COST

CUSTOMER_SERVICE_COST

CUSTOMER_SERVICE_COST

DATA_REVENUE_AMOUNT

DATA_REVENUE_AMOUNT

Mapping/Formula/Threshold ACQUISITION_COST_AMOUNT ACQUISITION_NON_SPE CIFIC_COST_AMOUNT ACTIVATION_COST_AMOUNT BAD_DEBT_DIRECT_COST_AMOUNT BASE_CHARGE_DISCOUNT_AMOUNT BASE_CHARGE_REVENUE_AMOUNT BONUS_POINT_PAYMENT_AMOUNT BUNDLE_CHARGE_REVE NUE_AMOUNT BUNDLE_DISCOUNT_AMOUNT COMMISSION_DI RECT_COST_AMOUNT CONTENT_DIRECT_COST_AMOUNT CONTENT_DURATION_USAGE CONTENT_EVENT_USAGE CONTENT_REVENUE_AMOUNT CONTENT_VOLUME_USAGE CREDIT_NOTE_COST CUSTOMER_ASSIGNABLE_COST CUSTOMER_ASSIGNABLE_NON_SPE CIFIC_COST CUSTOMER_SERVICE_COST DATA_REVENUE_AMOUNT

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Model Name: Technical Name of Model

Connection

DATA_USAGE

DATA_USAGE

DATA_USAGE

DIRECT_COST_AMOUNT

DIRECT_COST_AMOUNT

DIRECT_COST_AMOUNT

DIRECT_MARGIN_AMOUNT

Direct Margin

DIRECT_MARGIN_AMOUNT

DISCOUNT_AMOUNT

DISCOUNT_AMOUNT

DISCOUNT_AMOUNT

EVENT

EVENT

EVENT

EXACT_DURATION

EXACT_DURATION

EXACT_DURATION

HARDWARE_DIRECT_COST_AMOUNT HARDWARE_DIRECT_COST_AMOUNT HARDWARE_DIRECT_COST_AMOUNT

HARDWARE_REVENUE_AMOUNT

HARDWARE_REVENUE_AMOUNT

HARDWARE_REVENUE_AMOUNT

INDIRECT_COST_AMOUNT

INDIRECT_COST_AMOUNT

INDIRECT_COST_AMOUNT

INTERCONNECT_COST_AMOUNT

INTERCONNECT_COST_AMOUNT

INTERCONNECT_COST_AMOUNT

INTERCONNECT_MESSAGING_DI RECT_COST_AMOUNT

INTERCONNECT_MESSAGING_DI RECT_COST_AMOUNT

INTERCONNECT_MESSAGING_DI RECT_COST_AMOUNT

INTERCONNECT_MESSAGING_REVE INTERCONNECT_MESSAGING_REVE INTERCONNECT_MESSAGING_REVE

NUE_AMOUNT

NUE_AMOUNT

NUE_AMOUNT

INTERCONNECT_NON_SPE CIFIC_COST_AMOUNT

INTERCONNECT_NON_SPE CIFIC_COST_AMOUNT

INTERCONNECT_NON_SPE CIFIC_COST_AMOUNT

INTERCONNECT_NON_SPECIFIC_REV INTERCONNECT_NON_SPECIFIC_REV INTERCONNECT_NON_SPECIFIC_REV

ENUE_AMOUNT

ENUE_AMOUNT

ENUE_AMOUNT

INTERCONNECT_REVENUE_AMOUNT INTERCONNECT_REVENUE_AMOUNT INTERCONNECT_REVENUE_AMOUNT

INTERCONNECT_VOICE_DI RECT_COST_AMOUNT

INTERCONNECT_VOICE_DI RECT_COST_AMOUNT

INTERCONNECT_VOICE_DI RECT_COST_AMOUNT

INTERCONNECT_VOICE_REVE NUE_AMOUNT

INTERCONNECT_VOICE_REVE NUE_AMOUNT

INTERCONNECT_VOICE_REVE NUE_AMOUNT

MESSAGING_REVENUE_AMOUNT

MESSAGING_REVENUE_AMOUNT

MESSAGING_REVENUE_AMOUNT

MESSAGING_USAGE

MESSAGING_USAGE

MESSAGING_USAGE

NETWORK_INDIRECT_COST_AMOUNT NETWORK_INDIRECT_COST_AMOUNT NETWORK_INDIRECT_COST_AMOUNT

NON_SPECIFIC_DATA_USAGE

NON_SPECIFIC_DATA_USAGE

NON_SPECIFIC_DATA_USAGE

NON_SPECIFIC_DI RECT_COST_AMOUNT

NON_SPECIFIC_DI RECT_COST_AMOUNT

NON_SPECIFIC_DI RECT_COST_AMOUNT

NON_SPECIFIC_DISCOUNT_AMOUNT NON_SPECIFIC_DISCOUNT_AMOUNT NON_SPECIFIC_DISCOUNT_AMOUNT

NON_SPECIFIC_DURATION_USAGE NON_SPECIFIC_DURATION_USAGE NON_SPECIFIC_DURATION_USAGE

NON_SPECIFIC_EVENT_USAGE

NON_SPECIFIC_EVENT_USAGE

NON_SPECIFIC_EVENT_USAGE

NON_SPECIFIC_INDI RECT_COST_AMOUNT

NON_SPECIFIC_INDI RECT_COST_AMOUNT

NON_SPECIFIC_INDI RECT_COST_AMOUNT

NON_SPECIFIC_MESSAGING_USAGE NON_SPECIFIC_MESSAGING_USAGE NON_SPECIFIC_MESSAGING_USAGE

NON_SPECIFIC_PAYMENT_AMOUNT NON_SPECIFIC_PAYMENT_AMOUNT NON_SPECIFIC_PAYMENT_AMOUNT

NON_SPECIFIC_REVENUE_AMOUNT NON_SPECIFIC_REVENUE_AMOUNT NON_SPECIFIC_REVENUE_AMOUNT

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Connection

NON_SPECIFIC_VOICE_USAGE

NON_SPECIFIC_VOICE_USAGE

NON_SPECIFIC_VOICE_USAGE

NON_SPECIFIC_VOLUME_USAGE

NON_SPECIFIC_VOLUME_USAGE

NON_SPECIFIC_VOLUME_USAGE

NON_USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

NON_USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

NON_USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

NON_USAGE_REVENUE_AMOUNT

NON_USAGE_REVENUE_AMOUNT

NON_USAGE_REVENUE_AMOUNT

OFF_NET_MESSAGING_USAGE

OFF_NET_MESSAGING_USAGE

OFF_NET_MESSAGING_USAGE

OFF_NET_VOICE_USAGE

OFF_NET_VOICE_USAGE

OFF_NET_VOICE_USAGE

ONE_OFF_DIRECT_COST_AMOUNT ONE_OFF_DIRECT_COST_AMOUNT ONE_OFF_DIRECT_COST_AMOUNT

ONE_OFF_DISCOUNT_AMOUNT

ONE_OFF_DISCOUNT_AMOUNT

ONE_OFF_DISCOUNT_AMOUNT

ONE_OFF_FEE_REVENUE_AMOUNT ONE_OFF_FEE_REVENUE_AMOUNT ONE_OFF_FEE_REVENUE_AMOUNT

ON_NET_DATA_REVENUE_AMOUNT ON_NET_DATA_REVENUE_AMOUNT ON_NET_DATA_REVENUE_AMOUNT

ON_NET_DATA_USAGE

ON_NET_DATA_USAGE

ON_NET_DATA_USAGE

ON_NET_MESSAGING_REVE NUE_AMOUNT

ON_NET_MESSAGING_REVE NUE_AMOUNT

ON_NET_MESSAGING_REVE NUE_AMOUNT

ON_NET_MESSAGING_USAGE

ON_NET_MESSAGING_USAGE

ON_NET_MESSAGING_USAGE

ON_NET_NON_SPECIFIC_REVE NUE_AMOUNT

ON_NET_NON_SPECIFIC_REVE NUE_AMOUNT

ON_NET_NON_SPECIFIC_REVE NUE_AMOUNT

ON_NET_REVENUE_AMOUNT

ON_NET_REVENUE_AMOUNT

ON_NET_REVENUE_AMOUNT

ON_NET_VOICE_REVENUE_AMOUNT ON_NET_VOICE_REVENUE_AMOUNT ON_NET_VOICE_REVENUE_AMOUNT

ON_NET_VOICE_USAGE

ON_NET_VOICE_USAGE

ON_NET_VOICE_USAGE

OPERATIONAL_MARGIN_AMOUNT

OPERATIONAL_MARGIN_AMOUNT

OPERATIONAL_MARGIN_AMOUNT

ORIGINAL_DIRECT_COST_AMOUNT ORIGINAL_DIRECT_COST_AMOUNT ORIGINAL_DIRECT_COST_AMOUNT

ORIGINAL_DISCOUNT_AMOUNT

ORIGINAL_DISCOUNT_AMOUNT

ORIGINAL_DISCOUNT_AMOUNT

ORIGINAL_INDIRECT_COST_AMOUNT ORIGINAL_INDIRECT_COST_AMOUNT ORIGINAL_INDIRECT_COST_AMOUNT

ORIGINAL_REVENUE_AMOUNT

ORIGINAL_REVENUE_AMOUNT

ORIGINAL_REVENUE_AMOUNT

PAYMENT_AMOUNT

PAYMENT_AMOUNT

PAYMENT_AMOUNT

PRE_DISCOUNT_REVENUE_AMOUNT PRE_DISCOUNT_REVENUE_AMOUNT PRE_DISCOUNT_REVENUE_AMOUNT

PRODUCT_INDIRECT_COST_AMOUNT PRODUCT_INDIRECT_COST_AMOUNT PRODUCT_INDIRECT_COST_AMOUNT

RETENTION_COST_AMOUNT

RETENTION_COST_AMOUNT

RETENTION_COST_AMOUNT

REVENUE_AMOUNT

REVENUE_AMOUNT

REVENUE_AMOUNT

ROAMING_COST_AMOUNT

ROAMING_COST_AMOUNT

ROAMING_COST_AMOUNT

ROAMING_DATA_DI RECT_COST_AMOUNT

ROAMING_DATA_DI RECT_COST_AMOUNT

ROAMING_DATA_DI RECT_COST_AMOUNT

ROAMING_DATA_REVENUE_AMOUNT ROAMING_DATA_REVENUE_AMOUNT ROAMING_DATA_REVENUE_AMOUNT

ROAMING_INVOICED_DATA_USAGE ROAMING_INVOICED_DATA_USAGE ROAMING_INVOICED_DATA_USAGE

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Model Name: Technical Name of Model

Connection

ROAMING_INVOICED_MESSAG ING_USAGE

ROAMING_INVOICED_MESSAG ING_USAGE

ROAMING_INVOICED_MESSAG ING_USAGE

ROAMING_INVOICED_VOICE_USAGE ROAMING_INVOICED_VOICE_USAGE ROAMING_INVOICED_VOICE_USAGE

ROAMING_MESSAGING_DI RECT_COST_AMOUNT

ROAMING_MESSAGING_DI RECT_COST_AMOUNT

ROAMING_MESSAGING_DI RECT_COST_AMOUNT

ROAMING_MESSAGING_REVE NUE_AMOUNT

ROAMING_MESSAGING_REVE NUE_AMOUNT

ROAMING_MESSAGING_REVE NUE_AMOUNT

ROAMING_NON_SPE CIFIC_COST_AMOUNT

ROAMING_NON_SPE CIFIC_COST_AMOUNT

ROAMING_NON_SPE CIFIC_COST_AMOUNT

ROAMING_NON_SPECIFIC_REVE NUE_AMOUNT

ROAMING_NON_SPECIFIC_REVE NUE_AMOUNT

ROAMING_NON_SPECIFIC_REVE NUE_AMOUNT

ROAMING_PLAN_MARGIN_AMOUNT ROAMING_PLAN_MARGIN_AMOUNT ROAMING_PLAN_MARGIN_AMOUNT

ROAMING_PLAN_REVENUE_AMOUNT ROAMING_PLAN_REVENUE_AMOUNT ROAMING_PLAN_REVENUE_AMOUNT

ROAMING_REVENUE_AMOUNT

ROAMING_REVENUE_AMOUNT

ROAMING_REVENUE_AMOUNT

ROAMING_VOICE_DI RECT_COST_AMOUNT

ROAMING_VOICE_DI RECT_COST_AMOUNT

ROAMING_VOICE_DI RECT_COST_AMOUNT

ROAMING_VOICE_REVENUE_AMOUNT ROAMING_VOICE_REVENUE_AMOUNT ROAMING_VOICE_REVENUE_AMOUNT

SUBSIDY_DIRECT_COST_AMOUNT

SUBSIDY_DIRECT_COST_AMOUNT

SUBSIDY_DIRECT_COST_AMOUNT

SUBSCRIPTIONS

Subscriptions

SUBSCRIPTIONS

SUBSCRIPTIONS_BY_PRODUCT

Subscriptions_by_Product

SUBSCRIPTIONS_BY_PRODUCT

TERMINATION_FEE_REVE NUE_AMOUNT

TERMINATION_FEE_REVE NUE_AMOUNT

TERMINATION_FEE_REVE NUE_AMOUNT

TOP_UP_AMOUNT

TOP_UP_AMOUNT

TOP_UP_AMOUNT

TOTAL_COST_AMOUNT

Total Cost

TOTAL_COST_AMOUNT

TOTAL_MARGIN_AMOUNT

Total Margin

TOTAL_MARGIN_AMOUNT

USAGE_COST_AMOUNT

Usage Cost

USAGE_COST_AMOUNT

USAGE_DISCOUNT_AMOUNT

Usage Discount

USAGE_DISCOUNT_AMOUNT

USAGE_NON_SPE CIFIC_COST_AMOUNT

USAGE_NON_SPE CIFIC_COST_AMOUNT

USAGE_NON_SPE CIFIC_COST_AMOUNT

USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

USAGE_NON_SPECIFIC_REVE NUE_AMOUNT

USAGE_REVENUE_AMOUNT

USAGE_REVENUE_AMOUNT

USAGE_REVENUE_AMOUNT

VAS_DATA_USAGE

VAS_DATA_USAGE

VAS_DATA_USAGE

VAS_DIRECT_COST_AMOUNT

VAS_DIRECT_COST_AMOUNT

VAS_DIRECT_COST_AMOUNT

VAS_MESSAGING_USAGE

VAS Messaging Usage

VAS_MESSAGING_USAGE

VAS_REVENUE_AMOUNT

VAS Revenue

VAS_REVENUE_AMOUNT

VAS_VOICE_USAGE

VAS Voice Usage

VAS_VOICE_USAGE

VOICE_REVENUE_AMOUNT

Voice Revenue

VOICE_REVENUE_AMOUNT

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Connection

VOICE_USAGE

Voice Usage

VOICE_USAGE

VOLUME

Volume

VOLUME

Dimensions

Name

Description

Mapping

SUBSCRIPTION_ID

SUBSCRIPTION_ID

SUBSCRIPTION_ID

VALID_FOR_MONTH

Month

VALID_FOR_MONTH

TECHNOLOGY

TECHNOLOGY

TECHNOLOGY

SERVICE_SPECIFICATION_TYPE

SERVICE_SPECIFICATION_TYPE

SERVICE_SPECIFICATION_TYPE

RESOURCE

RESOURCE

RESOURCE

CARRIER_ID

CARRIER_ID

CARRIER_ID

THIRD_PARTY_ID

THIRD_PARTY_ID

THIRD_PARTY_ID

COST_REV_TYPE

COST_REV_TYPE

COST_REV_TYPE

CUSTOMER_TYPE

CUSTOMER_TYPE

CUSTOMER_TYPE

GENDER

GENDER

GENDER

NATIONALITY

NATIONALITY

NATIONALITY

CUSTOMER_COUNTRY

CUSTOMER_COUNTRY

CUSTOMER_COUNTRY

POSTCODE

POSTCODE

POSTCODE

REGION

REGION

REGION

MARITAL_STATUS

MARITAL_STATUS

MARITAL_STATUS

CUSTOMER_CLASSIFICATION_01

CUSTOMER_CLASSIFICATION_01

CUSTOMER_CLASSIFICATION_01

CUSTOMER_CLASSIFICATION_02

CUSTOMER_CLASSIFICATION_02

CUSTOMER_CLASSIFICATION_02

CUSTOMER_CLASSIFICATION_03

CUSTOMER_CLASSIFICATION_03

CUSTOMER_CLASSIFICATION_03

CUSTOMER_CLASSIFICATION_04

CUSTOMER_CLASSIFICATION_04

CUSTOMER_CLASSIFICATION_04

CUSTOMER_CLASSIFICATION_05

CUSTOMER_CLASSIFICATION_05

CUSTOMER_CLASSIFICATION_05

CUSTOMER_CLASSIFICATION_06

CUSTOMER_CLASSIFICATION_06

CUSTOMER_CLASSIFICATION_06

BILLING_ACCOUNT_CLASSIFICA TION_01

BILLING_ACCOUNT_CLASSIFICA TION_01

BILLING_ACCOUNT_CLASSIFICA TION_01

BILLING_ACCOUNT_CLASSIFICA TION_02

BILLING_ACCOUNT_CLASSIFICA TION_02

BILLING_ACCOUNT_CLASSIFICA TION_02

SUBSCRIPTION_PRODUCT_OFFER ING_ID

SUBSCRIPTION_PRODUCT_OFFER ING_ID

SUBSCRIPTION_PRODUCT_OFFER ING_ID

SUBSCRIPTION_CLASSIFICATION_01 SUBSCRIPTION_CLASSIFICATION_01 SUBSCRIPTION_CLASSIFICATION_01

BILLING_ACCOUNT_CLASSIFICA TION_02

BILLING_ACCOUNT_CLASSIFICA TION_02

BILLING_ACCOUNT_CLASSIFICA TION_02

SUBSCRIPTION_PRODUCT_OFFER ING_ID

SUBSCRIPTION_PRODUCT_OFFER ING_ID

SUBSCRIPTION_PRODUCT_OFFER ING_ID

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Model Name: Technical Name of Model

Connection

SUBSCRIPTION_CLASSIFICATION_01 SUBSCRIPTION_CLASSIFICATION_01 SUBSCRIPTION_CLASSIFICATION_01

SUBSCRIPTION_CLASSIFICATION_02 SUBSCRIPTION_CLASSIFICATION_02 SUBSCRIPTION_CLASSIFICATION_02

SUBSCRIPTION_SALES_CHANNEL

SUBSCRIPTION_SALES_CHANNEL

SUBSCRIPTION_SALES_CHANNEL

SUBSCRIPTION_ORG_UNIT

SUBSCRIPTION_ORG_UNIT

SUBSCRIPTION_ORG_UNIT

SUBSCRIPTION_STATUS

SUBSCRIPTION_STATUS

SUBSCRIPTION_STATUS

SUBSCRIPTION_MARKET_ID

SUBSCRIPTION_MARKET_ID

SUBSCRIPTION_MARKET_ID

LOYALTY_STATUS

LOYALTY_STATUS

LOYALTY_STATUS

CARRIER_COUNTRY

CARRIER_COUNTRY

CARRIER_COUNTRY

CARRIER_ROAMING_ZONE

CARRIER_ROAMING_ZONE

CARRIER_ROAMING_ZONE

CARRIER_IS_PREFERRED

CARRIER_IS_PREFERRED

CARRIER_IS_PREFERRED

THIRD_PARTY_TYPE

THIRD_PARTY_TYPE

THIRD_PARTY_TYPE

CLASSIFICATION_01

CLASSIFICATION_01

CLASSIFICATION_01

CLASSIFICATION_02

CLASSIFICATION_02

CLASSIFICATION_02

CLASSIFICATION_03

CLASSIFICATION_03

CLASSIFICATION_03

CLASSIFICATION_04

CLASSIFICATION_04

CLASSIFICATION_04

CLASSIFICATION_05

CLASSIFICATION_05

CLASSIFICATION_05

CLASSIFICATION_06

CLASSIFICATION_06

CLASSIFICATION_06

SUBSCRIPTION_PRODUCT_GROUP SUBSCRIPTION_PRODUCT_GROUP SUBSCRIPTION_PRODUCT_GROUP

SUBSCRIPTION_PRODUCT_TECHNOL SUBSCRIPTION_PRODUCT_TECHNOL SUBSCRIPTION_PRODUCT_TECHNOL

OGY

OGY

OGY

SUBSCRIPTION_PRODUCT_MAR KET_ID

SUBSCRIPTION_PRODUCT_MAR KET_ID

SUBSCRIPTION_PRODUCT_MAR KET_ID

SUBSCRIPTION_PRODUCT_STATUS SUBSCRIPTION_PRODUCT_STATUS SUBSCRIPTION_PRODUCT_STATUS

CURRENCY

CURRENCY

CURRENCY

VALID_FOR_DATE

VALID_FOR_DATE

VALID_FOR_DATE

SUBSCRIPTION_INTERNAL_ID

SUBSCRIPTION_INTERNAL_ID

SUBSCRIPTION_INTERNAL_ID

START_DATE

START_DATE

START_DATE

END_DATE

END_DATE

END_DATE

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3.5.4.4 Telecommunications - CRS Data incl. Subscription Count (SAP__CPA_LH_TEL_UNPROFITSUBSC)

Model Name: Technical Name of Model

Connection

 Model Description: SAP CPA: Telecommunications - Unprofitable Subscrib ers
 Planning Enabled: No

 Connection Type: Direct - SAP HANA Live Data Connection with Authentication Method SAML Sin gle Sign On
 Connection Name: SAPCPA (SAP CPA: Customer Profitability Analyt ics)
 Calculation View: SAP_BDPT.sap.bdpt.hana.public model::CV_UNPROFITABLE_CUS TOMERS

Measures ID DIRECT_MARGIN_AMOUNT OPERATIONAL_MARGIN_AMOUNT ROAMING_PLAN_MARGIN_AMOUNT TOTAL_MARGIN_AMOUNT UNPROFITABLE_SUBSCRIPTIONS Dimensions Name VALID_FOR_MONTH SUBSCRIPTION_ID SUBSCRIPTION_PRODUCT_MAR KET_ID CURRENCY

Description Direct Margin Operational Margin Roaming Plan Margin Total Margin Unprofitable Subscriptions
Description Month Subscription ID Product Market
Currency

Mapping/Formula/Threshold DIRECT_MARGIN_AMOUNT OPERATIONAL_MARGIN_AMOUNT ROAMING_PLAN_MARGIN_AMOUNT TOTAL_MARGIN_AMOUNT Unprofitable_Subscriptions
Mapping VALID_FOR_MONTH SUBSCRIPTION_ID SUBSCRIPTION_PRODUCT_MAR KET_ID CURRENCY

3.6 Engineering, Construction and Operations (ECO)
3.6.1 Architecture and Abstract
With the SAP Analytics Cloud content engineering, construction, and operations companies can leverage consistent business intelligence from all phases of the construction lifecycle. Companies can visualize data to support optimal decision making, see the status of business and project execution at a glance, and use ad-hoc query functionality for further data analysis when required. Furthermore, it will help the business users to monitor and analyse business and operational performance and investigate the sources of variances. Thus, enabling business users to initiate decisive and optimal actions.

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The content will help to:
 Analyse the current and historical bids, reasons for being awarded across all business units to learn and improve probability of future success
 Monitor backlog and work done to gain insight on productivity of the workforce  Control current projects, analyse margin, and variances  Investigate root causes for margin variances including multi-level analysis of revenue, costs and
productivity for the construction project  Improve overall insight and track the company's performance
Architecture

3.6.2 Dashboard
The dashboard which provides insights is: SAP_ECO_Dashboard

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3.6.3 Stories 3.6.3.1 General - Overview (SAP__ECO_GEN_OVERVIEW)

Name: SAP__ECO_GEN_OVERVIEW

Description: SAP Eng. Cons. & Ops: General - Overview

Scenario is used to get an overall performance overview across the different board areas Operations, Business develop ment, and HR.

Page: Overview

Charts

Title

Models Used

Pipeline Health

SAP__ECO_BID_IM_TARGETFORECAST

This chart shows the Pipeline health for the next quarter and the variance of forecast from target.

Actual Revenue per Project

SAP__CPM_GEN_IM_PROJECTACTPLAN

This chart shows the relation between Actual Margin % and PoC. The bubble size shows the actual revenue. The chart shows by the position and size of the bubbles how lucrative each project is.

Headcount Movement

SAP__HR_GEN_IM_HEADCOUNT*

This chart shows the movement of Headcount for the current year.

Injuries

SAP__EHS_HS_IM_INCIDENTS *

This chart shows the Injuries per month for the current year.

3.6.3.2 Project Performance (SAP__ECO_PROJECT_PERFORMANCE)

Name: SAP__ECO_PROJECT_PERFORMANCE

Description: SAP Eng. Cons. & Ops: Project Performance

Scenario is used to gain insight into current and past project portfolio performance across line of work, regions, etc.

Page: Project Overview

Charts

Title

Models Used

Margin

SAP__CPM_GEN_IM_PROJECTACTPLAN

This tile provides the actual, planned, and deviation from plan for Margin and the actual margin% for the current year.

Revenue

SAP__CPM_GEN_IM_PROJECTACTPLAN

This tile provides the actual, planned, and deviation from plan for Revenue for the current year.

Costs

SAP__CPM_GEN_IM_PROJECTACTPLAN

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Name: SAP__ECO_PROJECT_PERFORMANCE

This tile provides the actual, planned, and deviation from plan for Costs for the current year.

Stages of Current Projects

SAP__CPM_GEN_IM_PROJECTACTPLAN

This chart shows number of projects currently in each stage.

Actual Revenue per Project

SAP__CPM_GEN_IM_PROJECTACTPLAN

This chart shows the relation between Actual Margin % and PoC. The bubble size shows the actual revenue. The chart shows by the position and size of the bubbles how lucrative each project is.

Actual Margin % per Business Area

SAP__CPM_GEN_IM_PROJECTACTPLAN

Show the actual margin% for the current year for each Business area.

Project Resources

SAP__CPM_GEN_IM_PROJECTACTPLAN linked with SAP__HR_GEN_IM_HEADCOUNT*

Through model linkage this chart gets information from HR on persons allocated in each country.

The documentation for the model

SAP Human Resources: General - Headcount (SAP__HR_GEN_IM_HEADCOUNT) can be found in the following chapter: 5.14.4.2.

Page: Detail

This page provides details about projects that can be selected based on page filters for Country and Business area.

Charts

Title

Models Used

Profitability per Customer

SAP__CPM_GEN_IM_PROJECTACTPLAN

The actual margin % per customer and its deviation from planned margin% is shown.

Profitability per Project

SAP__CPM_GEN_IM_PROJECTACTPLAN

The actual margin % per project and its deviation from planned margin% is shown.

Monthly Revenue

SAP__CPM_GEN_IM_PROJECTACTPLAN

This chart shows planned and actual revenue and actual margin% on a monthly basis for the current year.

Monthly Costs

SAP__CPM_GEN_IM_PROJECTACTPLAN

This chart shows planned and actual cost and deviation between plan and actual on a monthly basis for the current year.

Page: Context

This is a fact sheet where you can select all projects for a specific project and get all relevant information.

Charts

Title

Models Used

Margin

SAP__CPM_GEN_IM_PROJECTACTPLAN

This tile provides the actual, planned, and deviation from plan for Margin for the current year.

Actual Margin%

SAP__CPM_GEN_IM_PROJECTACTPLAN

This tile provides information on how the Actual margin% has moved monthly for the current year.

Revenue

SAP__CPM_GEN_IM_PROJECTACTPLAN

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Name: SAP__ECO_PROJECT_PERFORMANCE

This tile provides the actual, planned, and deviation from plan for Revenue for the current year.

Costs

SAP__CPM_GEN_IM_PROJECTACTPLAN

This tile provides the actual, planned, and deviation from plan for Costs for the current year.

Revenue

SAP__CPM_GEN_IM_PROJECTACTPLAN

The monthly planned and actual revenue of a project and its phase during each month, along with deviation of plan actual for the current year are shown in this chart.

Cost

SAP__CPM_GEN_IM_PROJECTACTPLAN

The monthly planned and actual costs of a project and its phase during each month, along with deviation of plan actual for the current year are shown in this chart.

3.6.3.3 Bid Analysis - Sales Orders & Forecast (SAP__ECO_BIDS_SALES_ORDERS_FORECAST)

Name: SAP__ECO_BIDS_SALES_ORDERS_FORECAST

Description: SAP Eng. Cons. & Ops: Bid Analysis - Sales Orders & Forecast

Scenario is used to track current business development activities, their impact on plan, and forecast.

Page: Overview

This page shows sales order volume related information and trend of pipeline. The page can be filtered based on Business area.

Charts

Title

Models Used

Total Order Volumes by Business Area

SAP__SD_GEN_IM_SALESVOLUME

This chart shows the total order volumes by Business area for the current quarter which is split into open deliverables, open orders, and sales volume.

Total Order Volumes Trend by Business Area

SAP__SD_GEN_IM_SALESVOLUME

Shows the trend of total orders per month for the current quarter for each Business area.

Backlogs and Work Done

SAP__SD_GEN_IM_BACKORDERS

This chart shows the order backlog and work done by Business area for the current and the sales backlog ratio per industry.

Pipeline Trend

SAP__ECO_BID_IM_TARGETFORECAST

This chart shows the trend of weighted value, forecast, and target on a quarterly basis.

3.6.3.4 Bid Analysis (SAP__ECO_BID_ANALYSIS)
Name: SAP__ECO_BID_ANALYSIS

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Description: SAP Eng. Cons. & Ops: Bid Analysis

Scenario is used to analyses bid performance and mitigate risk for not getting awarded.

Page: Detail

This page provides insights into all bids that have not yet reached closing date. The bids can be filtered for the overall page based on Business area and Country

Title

Models Used

 Total Bids  Bids Won  Bids Lost  Bids in Process  Open Bids  Expected Value  Weighted Value

SAP__ECO_BID_IM_BID_ANALYSIS

These tiles provide KPIs of all applicable bids

Bids Won and Lost

SAP__ECO_BID_IM_BID_ANALYSIS

Shows the bids won and lost per Business area and the bid hit ratio for each Business area

Bids lost per Sales Phase

SAP__ECO_BID_IM_BID_ANALYSIS

Shows how many bids were lost in each sales phase

Distribution of Bids across Sales Phases

SAP__ECO_BID_IM_BID_ANALYSIS

Shows the bid pipeline funnel based on sales stages at its current state

Bid Hit Ratio vs Weighted Value

SAP__ECO_BID_IM_BID_ANALYSIS

This bubble chart can explain the lucrative bids by Business area. The bids that have larger expected value and bid hit ratios are more lucrative.

Reason for Winning/Losing Bids

SAP__ECO_BID_IM_BID_ANALYSIS

Shows the bids won or lost due to different reasons.

3.6.3.5 Human Resources (SAP__ECO_HR_BOARDROOM)
This is a copy of the story SAP__HR_GEN_HR (SAP Human Resources: General).

3.6.3.6 Health & Safety ­ Incidents (SAP__HR_HS_INCIDENTS)
For a description of the story and the models used please check the following chapter: 5.4 Environment, Health and Safety Management (EHS)

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3.6.4 Models
3.6.4.1 General - Project Plan & Actual (SAP__CPM_GEN_IM_PROJECTACTPLAN)

Model Name: SAP__CPM_GEN_IM_PROJECTACTPLAN

Connection

 Model Description: SAP Commercial Project Management: General - Project Plan & Actual
 Planning Enabled: No

 Connection Type: Import > SAP BW
 Connection Query: CDS View: En gagement Project Margin Analysis Query 2CCEPMARGANLYSQ
 Query Defaults: The default value for this mapping is C for Project Type.

Project Account* ID PlannedCost
PlannedRevenue
ActualRevenue
ActualCost PlannedMarginAmount ActualMarginAmount poc
PlannedMarginPercent
ActualMarginPercent
Dimensions ID Time* SAP_ALL_CUSTOMER SAP_ALL_COUNTRY SAP_ALL_COMPANY_CODE SAP_ALL_BUSINESSAREA SAP_ALL_PROFITCENTER

Description Planned Cost
Planned Revenue
Actual Revenue
Actual Cost Planned Margin Actual Margin Percentage of Completion
Planned Margin %
Actual Margin %
Description Time Customer Country Legal Entity Business Area Profit Center

Formula/Mapping Planned Cost In Company Code Cur rency Planned Revenue In Company Code Currency Actual Revenue In Company Code Cur rency Actual Cost In Company Code Currency [PlannedRevenue] - [PlannedCost] [ActualRevenue] - [ActualCost] 1- (([PlannedCost] - [ActualCost]) / [PlannedCost]) [PlannedMarginAmount] / [PlannedRe venue] [ActualMarginAmount] / [ActualReve nue]
Mapping
Customer Country Key Company code Service Organization Profit Center

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Model Name: SAP__CPM_GEN_IM_PROJECTACTPLAN

SAP_ALL_PROJECT_DEFINITION

Project Definition

SAP_ALL_FISCALYEAR

Year

SAP_CPM_STAGE

Project Stage

 Note
* Private dimension and other dimensions are public.

Connection Project Fiscal Year Stage

3.6.4.2 General ­ Incoming Sales Orders (SAP__SD_GEN_IM_INCOMING_ORDERS)

Model Name: SAP__SD_GEN_IM_INCOMING_ORDERS

Connection

 Model Description: SAP Sales and Distribution: General- Incoming Sales Or ders
 Planning Enabled: No

 Connection Type: Import > SAP BW
 Connection Query: CDS View: 2CCSDSLSORDERITEMQ Incom ing Sales Orders
 Query Defaults: Exchange rate type: M

Incoming Order Account* ID NetAmount Backlog
Workdone
Backlogratio Completedorders
Ordercompletionratio Other measures in the model Dimensions ID Time* SAP_ALL_BUSINESSAREA SAP_ALL_SALESORGANISATION

Description

Formula/Mapping

Net Amount

Backlog

LOOKUP([NetAmount] ,[d/ SAP_SD_DELIVERYSTATUS] ='A' )

Work done

LOOKUP([NetAmount] ,[d/ SAP_SD_DELIVERYSTATUS] =('B','C'))

Sales backlog ratio

[backlog]/[NetAmount]

Completed Orders

LOOKUP([NetAmount] ,[d/ SAP_SD_DELIVERYSTATUS] ='C')

Order completion ratio

[completedorders]/[NetAmount]

Not relevant for ECO, for more information see Consumer Products Models.

Description Time Business Area Sales Organisation

Mapping Month of Order Business Area Sales Organization

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Model Name: SAP__SD_GEN_IM_INCOMING_ORDERS

SAP_SD_DELIVERYSTATUS

Delivery Status

SAP_SD_CONFIRMATIONSTATUS

Confirmation Status

SAP_ALL_DISTRIBUTIONCHANNEL Distribution Channel

SAP_ALL_MATERIAL

Material

SAP_ALL_MATERIALGROUP

Material Group

SAP_ALL_COUNTRY

Country

SAP_ALL_CUSTOMER

Customer

SAP_ALL_REGION

Region

SAP_ALL_CUSTOMERGROUP

Customer Group

 Note
* Private dimension and other dimensions are public.

Connection Delivery Status Dlv. Conf.Status Assign to # Assign to # Assign to # Assign to # Assign to # Assign to # Assign to #

3.6.4.3 Bids -Target & Forecast Revenue (SAP__ECO_BID_IM_TARGETFORECAST)

Model Name: SAP__ECO_BID_IM_TARGETFORECAST

Connection

 Model Description: SAP Engineering & Construction: Bids - Target & Forecast  Connection Type: Connection type:

Revenue

ODATA Connection > Import from

 Planning Enabled: No

SAP Hybris Cloud for Customer Analytics

 Connection Query: Forecast Re port CODFRSPOPU01_Q0001

Forecast Target Account* ID weightedamount forecastamount targetamount Dimensions ID Time SAP_ALL_BUSINESSAREA

Description Weighted Amount Forecast Amount Budget Amount
Description Time Business Area

Formula/Mapping Weighted Value Forecast Revenue Target Revenue
Mapping Close Date Id Sales Unit

 Note
* Private dimension and other dimensions are public.

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3.6.4.4 Bids -Bid Analysis (SAP__ECO_BID_IM_BID_ANALYSIS)

Model Name: SAP__ECO_BID_IM_BID_ANALYSIS
 Model Description: SAP Engineering & Construction: Bids - Bid Analysis  Planning Enabled: No

Bidanalysis Account* ID ChanceofSucces ExpectedValue NumberofOpportunities WeightedValue won

Description Chance of Success Expected Value Number of Bids Weighted Value Won

lost

Lost

bidhitratio inprocess

Bid hit ratio In Process

open

Open

Dimensions ID Time SAP_ECO_BID_LIFECYCLESTATUS SAP_ECO_BID_STATUSREASON SAP_ALL_COUNTRY SAP_ALL_SALESORGANISATION SAP_ECO_BID_SALESPHASE SAP_ALL_BUSINESSAREA

Description Time Lifecycle status Reason for Status Country Sales Organization Sales Phase Business Area

 Note
* Private dimension and other dimensions are public.

Connection  Connection Type: ODATA Connec
tion  Import from SAP Hybris Cloud for Customer Analytics  Connection Query: Opportunity Analysis CODOPPU_Q0018
Formula/Mapping
LOOKUP([NumberofOpportunities] ,[d/ SAP_ECO_BID_LIFECYCLESTA TUS]='4' ) LOOKUP([NumberofOpportunities] ,[d/ SAP_ECO_BID_LIFECYCLESTATUS] ='5' ) [won] / [NumberofOpportunities] LOOKUP([NumberofOpportunities] ,[d/ SAP_ECO_BID_LIFECYCLESTA TUS]='2' ) LOOKUP([NumberofOpportunities] ,[d/ SAP_ECO_BID_LIFECYCLESTA TUS]='1' )
Mapping Close Date Id Lifecycle Status Reason for Status Country Sales Organization Sales Phase Sales Unit

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3.7 Healthcare (HC)
3.7.1 Architecture
The Healthcare content is organized in four stories that can be combined in dashboards or digital boardrooms to meet the business requirements of the implementing facility.  Revenue Cycle (SAP__HC_RC_OVERVIEW)  Quality Reporting (SAP__HC_QI)  Patient Satisfaction Survey (SAP__HC_HCAHPS)  Population Health Management (SAP__HC_DIABETES)

3.7.2 Stories
3.7.2.1 SAP__HC_RC_OVERVIEW
The Healthcare Story covers topics related to Revenue Cycle management in the US Market.
US Provider organizations submit healthcare claims to payer in accordance with contracts that are negotiated by payers or, in the case of public sector payers, mandated by federal or state regulations. Messages between payer and providers such as insurance verification, authorization requests and responses, and claims and remittance advices are exchanged using the X12n message set as specified by federal regulation. Claims submitted by providers is adjudicated by payers. Denials are notifications to the payer that the payment requested by the provider is denied due to some discrepancy in the claim such as failure to obtain authorization from the payer for the procedure or failure to document medical necessity. If denials are not processed by the provider and resubmitted for consideration, the provider is not compensated for the service provided to the patient.
The purpose of the story is to provide managers with the visibility of revenue cycle operations and KPIs that is proven to reduce denials.

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NAME: SAP__HC_RC_OVERVIEW
Description: Provides the ability to monitor and manage Revenue cycle function.
The Revenue Cycle function in a US provider organization is critical to the financial performance and sustainability of the organization. This story provides the ability to monitor the performance of the revenue cycle operations and measure the effectiveness of critical functions determine operational effectiveness. All KPIs in this story are common industry standards that are published in industry publications and web sites.
Page: Net Revenue
This page provides an overview of Net Revenue versus budget. Net Revenue is the Gross Revenue minus Contractual Allow ances. Budgets for Net Revenue are assumed to be provided at the Facility, Financial Class, and month. If contractual allow ances or budget is not available to that level of granularity, they can be derived from historical data and updated on a rolling basis. The page shows trends in revenue overtime and highlights areas where revenue is less than expectations or greater that expectations.
Page: Collections
The Collections page shows status of the goal of Revenue Cycle operations: Cash Collections. Cash Collections trends and performance are shown in comparison to budget or historical performance. Areas of under and over performance are shown to assist management in identification of anomalies.
Page: Accounts Receivable
This page shows the effectiveness of Revenue Cycle operations by tracking the status of unpaid balances overtime. The page tracks DAYS in AR and Percent of AR over 90 Days, KPIs typically used to measure the effectiveness of collections.
Page: Denials
The Denials page tracks the status of denials: claims that is denied payment by payers. Two critical KPIs are tracked: Per cent of claims denied and dollar amount of the denials. Charts show the areas that are experiencing the greatest increase in denials and greatest decrease in denials to identify areas where there are anomalies for management follow-up.
Page: Patient Access I
The purpose of this page is to monitor organizational performance in patient intake that affect the accuracy and complete ness of information submitted to payers for payment.
Charts
Current Year Pre-registration rate (percentage of scheduled patients that are preprocessed prior to admitting.)
Current Month Pre-Registration Rate
Enterprise Pre-Registration Performance
Six Month (Pre-Registration) Trend by Facility
Current Year Insurance Verification Rate (percentage of scheduled patients that have had insurance verified)
Current Month Insurance Verification Rate
Enterprise Insurance Verification Performance
Six Month (Insurance Verification) Trend by Facility
Current Year Inpatient and Observation Authorization Rate (percentage of encounters that require authorization receive au thorization)
Current Month Inpatient and Observation Authorization Rate
Enterprise Inpatient and Observation Authorization Rate Performance
Six Month (Inpatient and Observation Authorization Rate) Trend by Facility
Page: Patient Access II

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NAME: SAP__HC_RC_OVERVIEW The purpose of this page is to monitor organizational performance in patient intake that affect the accuracy and complete ness of information submitted to payers for payment. Charts Current Year Outpatient Authorization Rate (percentage of encounters that require authorization receive authorization) Current Month Outpatient Authorization Rate Enterprise Outpatient Authorization Rate Performance Six Month (Outpatient Authorization Rate) Trend by Facility Current Year Insurance Verification Rate (percentage of scheduled patients that have had insurance verified) Current Month Insurance Verification Rate Enterprise Insurance Verification Performance Six Month (Insurance Verification) Trend by Facility Current Year Inpatient and Observation Authorization Rate (percentage of scheduled patients that have had insurance veri fied) Current Month Inpatient and Observation Authorization Rate Enterprise Inpatient and Observation Authorization Rate Performance Six Month (Inpatient and Observation Authorization Rate) Trend by Facility Current Year Conversion of Self-Pay to Insurance Rate (percentage of self-pay patients to Insurance) Current Month Conversion of Self-Pay to Insurance Rate Enterprise Conversion of Self-Pay to Insurance Rate Performance Six Month (Conversion of Self-Pay to Insurance Rate) Trend by Facility Current Year POS Collection Rate (percentage of self-pay payments collected prior to service) Current Month POS Collection Rate Enterprise POS Collection Rate Performance Six Month (POS Collection Rate) Trend by Facility Page: Claims Processing The purpose of this page is to monitor organizational performance in the preparation and submission of claims. It monitors the time in days from discharge to various stages in submission of the claim to payers. Charts Current Year Discharged not Final Billed (average number of days between discharge and production of final bill) Current Month Discharge not Final Billed Enterprise Discharge not Final Billed Performance Six Month (Discharge not Final Billed) Trend by Facility Current Year Final Billed not Submitted (average number of days between creation of final bill and submission to payer) Current Month Final Billed not Submitted Enterprise Final Billed not Submitted Performance Six Month (Final Billed not Submitted) Trend by Facility

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NAME: SAP__HC_RC_OVERVIEW Current Year Discharged not Submitted (average number of days between discharge and submission of claim to payer) Current Month Discharged not Submitted Enterprise Discharged not Submitted Performance Six Month (Discharged not Submitted) Trend by Facility Page: Claims Quality The purpose of this page is to monitor organizational performance in the quality of claims submitted and rate of late charges. Charts Current Year Clean Claim Rate (percentage of claims that pass resubmission edits) Current Month Clean Claim Rate Enterprise Clean Claim Rate Performance Six Month (Clean Claim Rate) Trend by Facility Current Year Late Charge Percentage (percentage of charges that were submitted after final billing) Current Month Late Charge Percentage Enterprise Late Charge Percentage Performance Six Month (Late Charge Percentage) Trend by Facility Page: Analysis The purpose of this page is to demonstrate Smart Discovery by analyzing factors that impact denial rate. Charts Trend of Denials and Authorization Rates Data Discovery (a chart generated by Smart Discovery that depicts the impact of Authorization Rate and Facility on Denial Rate) What Influences Denial Rate (Smart Discovery)

3.7.2.2 Quality Reporting (SAP__HC_QI) Story

NAME: SAP__HC_QI

Description: Provides a template for reporting and managing quality assurance indicators.

It can be used as a template for Quality Indicators of interest for the using organization.

Page: QI Rankings

This page shows ranks the quality indicators in descending order of compliance by the selected organization. A story level filter allows filtering by one or more organization. A page level date range filter permits filtering by time period.

Charts

Title

Models Used

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NAME: SAP__HC_QI

Overall Ranking By Facility

SAP__HC_QI

Ranking By Measure

SAP__HC_QI

Page: QI Trending

QI Trending displays trending information for the selected indicator by the entire organization and selected facility.

Charts

Title

Models Used

Actual vs. Expected % by Facility

SAP__HC_QI

Actual % vs Expected %

SAP__HC_QI

Actual % by Facility

SAP__HC_QI

Actual vs Expected

SAP__HC_QI

Page: QI Detail

QI Detail Provides Detail on the Quality Indicator across the organization.

Charts

Title

Models Used

Overall Performance by Measure

SAP__HC_QI

Quality Indicators by Measure and Facility

SAP__HC_QI

3.7.2.3 Patient Satisfaction Survey (SAP__HC_HCAHPS) Story

NAME: SAP__HC_HCAHPS

Description: Provides a template for reporting and managing patient satisfaction survey results.

Page: HCAHPS Summary

This page shows ranks of the patient survey results in descending order of rankings for the selected organization. A story level filter allows filtering by one or more organization. A date filter permits filtering of data by date period.

Charts

Title

Models Used

HCHPS Score by Facility

SAP__HC_HCAHPS

Performance by Measure

SAP__HC_HCAHPS

Page: HCAHPS Trends

HCAHPS displays trending information for the survey response by the entire organization and selected facility.

Charts

Title

Models Used

Scores per Facility

SAP__HC_HCAHPS

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NAME: SAP__HC_HCAHPS

Enterprise HCAHPS Score

SAP__HC_HCAHPS

HCAHPS Score by Facility

SAP__HC_HCAHPS

Actual vs Expected Score

SAP__HC_HCAHPS

Page: HCAHPS Detail

HCAHPS Detail Provides Detail on the survey results across the organization.

Charts

Title

Models Used

HCAHPS Score per Measure

SAP__HC_HCAHPS

HCAHPS Score per Facility

SAP__HC_HCAHPS

3.7.2.4 Population Health Management (SAP__HC_DIABETES) Story

NAME: SAP__HC_Diabetes

Description: Provides a template for reporting and managing population health using Diabetes as an example.

Page: Overview

The Overview page provides an overview of the effectiveness of population management by physician or PCP.

Charts

Title

Models Used

Number of Patients

SAP__HC_Diabetes

Number or Physicians

SAP__HC_Diabetes

Diabetes Under Control

SAP__HC_Diabetes

PCP to Patient Ratio

SAP__HC_Diabetes

Pt Count by Facility

SAP__HC_Diabetes

Patient Status by Physician

SAP__HC_Diabetes

Percent Diabetic by Age and Gender

SAP__HC_Diabetes

Number of Patients

SAP__HC_Diabetes

Patients by Gender

SAP__HC_Diabetes

Page: Patient Location by Physician

Provides Patient Location information using ESRI map

Charts

Title

Models Used

Actual vs. Expected % by Facility

SAP__HC_Diabetes

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NAME: SAP__HC_Diabetes Page: QI Analytics Provides Static Charts from Smart Discovery Charts Title Static Graphs

Models Used SAP__HC_Diabetes

3.7.3 Models 3.7.3.1 Revenue Cycle Analytics (SAP__HC_RC_MAIN)

Model Name: SAP__HC_RC_MAIN

 Model Description: SAP Healthcare: Revenue Cycle Analytics  Planning Enabled: No

Account* ID Revenue_Budget Revenue Net_Revenue_Budget Net_Revenue Day_Guide Daily_Revenue AR AR_Age_30 AR_Age_60 AR_Age_90 AR_Age_90_Plus WriteOff Denial_Amount Denial_Count Encounters Collection_Goal Actual_Collections Denial_Amount_Trend

Description Revenue Budget Revenue Net Revenue Budget Net Revenue Day Guide Daily Revenue AR AR Age 30 AR Age 60 AR Age 90 AR Age 90 Plus WriteOff Denial Amount Denial Count Encounters Collection Goal Actual Collections Denial Amount Trend

Connection Connection Type: All data provided from Spreadsheet
Formula/Mapping

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Model Name: SAP__HC_RC_MAIN Denial_Count_Trend Net_Revenue_Variance Net_Revenue_Var_Percent
Net_Gross_Percent Collections_Variance Collections_Var_Percent
Denial_Amt_Change_Percent
Denial_Count_Change_Percent
AR_Age_30_Percent AR_Age_60_Percent AR_Age_90_Percent AR_Age_90_Plus_Percent AR_Days Denial_Amt_Pct Denial_Count_PCT Net_rolling Cash_pcnt Cash_goal Cash_var AR_Days_Goal AR_Days_Var AR_90_Goal AR_90_Variance
Dimensions ID Date Facility Financial Class

Connection

Denial Count Trend

[Net_Revenue]-[Net_Revenue_Budget] [Net_Revenue]-[Net_Revenue_Budget]

[Net_Revenue_Variance]/[Net_Reve nue_Budget]

[Net_Revenue_Variance]/[Net_Reve nue_Budget]

[Net_Revenue]/[Revenue]

[Net_Revenue]/[Revenue]

[Actual_Collections]-[Collection_Goal] [Actual_Collections]-[Collection_Goal]

[Collections_Variance]/[Actual_Collec [Collections_Variance]/[Actual_Collec

tions]

tions]

([Denial_Amount]-[De nial_Amount_Trend])/[De nial_Amount_Trend]

([Denial_Amount]-[De nial_Amount_Trend])/[De nial_Amount_Trend]

([Denial_Count]-[De nial_Count_Trend])/[De nial_Count_Trend]

([Denial_Count]-[De nial_Count_Trend])/[De nial_Count_Trend]

[AR_Age_30]/[AR]

[AR_Age_30]/[AR]

[AR_Age_60]/[AR]

[AR_Age_60]/[AR]

[AR_Age_90]/[AR]

[AR_Age_90]/[AR]

[AR_Age_90_Plus]/[AR]

[AR_Age_90_Plus]/[AR]

[AR]/[Daily_Revenue]

[AR]/[Daily_Revenue]

[Denial_Amount]/[Net_Revenue]

[Denial_Amount]/[Net_Revenue]

[Denial_Count]/[Encounters]

[Denial_Count]/[Encounters]

[Actual_Collections]/[Net_Revenue] [Actual_Collections]/[Net_Revenue]

.35

.35

[Actual_Collections]-[Collection_Goal] [Actual_Collections]-[Collection_Goal]

60

60

[AR_Days]-[AR_Days_Goal]

[AR_Days]-[AR_Days_Goal]

.24

.24

[AR_Age_90_Plus_Percent][AR_90_Goal]

[AR_Age_90_Plus_Percent][AR_90_Goal]

Description Year Month Facility (Hospital) Payer Class

Mapping

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 Note
* Private dimension and other dimensions are public.

3.7.3.2 Revenue Cycle KPIs (SAP__HC_RC_KPI)

Model Name: SAP__HC_RC_KPI

 Model Description: SAP Healthcare: Revenue Cycle Analytics  Planning Enabled: No

Account* ID Revenue Rev_Budget Occurrences Scheduled Preregistered Verified Auth_Reqd Auth_Obtnd Self_Pay Conversion POS SP_Cash Daily_Rev DNFB FBNS DNSP Clean Late_Chgs Denials Denail_WO Bad_Debt Charity Credit_B PreRegRate

Description Revenue Rev Budget Occurrences Scheduled Preregistered Verified Auth Reqd Auth Obtnd Self Pay Conversion POS SP Cash Daily Rev DNFB FBNS DNSP Clean Late Chgs Denials Denail W-O Bad Debt Charity Credit B Pre-Registration Rate

Connection Connection Type: All data provided from Spreadsheet Formula/Mapping
[Preregistered]/[Scheduled]

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Model Name: SAP__HC_RC_KPI InsVerRate AuthRate PreRegGoal PreRegVar InsVerGoal InsVerVar AuthGoal AuthVar Uninsured_Conversion Uninsured_Conversion_Goal Uninsured_Conversion_Variance
POS_Rate POS_Goal POS_Var DNFB_DAYS DNFB_Goal DNFB_Variance FBNS_DAYS FBNS_Goal FBNS_Variance DNSP_DAYS DNSP_Goal DNSP_Variance CLEAN_Rate Clean_Goal Clean_Var Late_Rate Late_Goal Late_Variance Auth_Base Denial_Count Denial_Value Prereg_Base Rolling_Auth

Insurance Verification Rate Authorization Rate Pre-Registration Goal Pre-Registration Variance Insurance Verification Goal Insurance Verification Variance Authorization Goal Authorization Variance Uninsured Conversion Rate Uninsured Conversion Goal Uninsured Conversion Variance
POS Collection Rate POS Collection Goal POS Collection Variance DNFB Days DNFB Goal DNFB Variance FBNS Days FBNS Goal FBNS Variance DNSP Days DNSP Goal DNSP Variance Clean Claim Rate Clean Claim Goal Clean Claim Variance Late Charge Rate Late Charge Goal Late Charge Variance Auth Base Denial Count Denial Value Prereg Base Rolling Auth

Connection [Verified]/[Occurences] [Auth_Obtnd]/[Auth_Reqd] .322 [PreRegRate]-[PreRegGoal] .568 [InsVerRate]-[InsVerGoal] .759 [AuthRate]-[AuthGoal] [Conversion]/[Self_Pay] .15 [Uninsured_Conversion]-[Unin sured_Conversion_Goal] [POS]/[SP_Cash] .29 [POS_Rate]-[POS_Goal] [DNFB]/[Daily_Rev] 5.9 [DNFB_DAYS]-[DNFB_Goal] [FBNS]/[Daily_Rev] .02 [FBNS_DAYS]-[FBNS_Goal] [DNSP]/[Daily_Rev] .02 [DNSP_DAYS]-[DNSP_Goal] [Clean]/[Occurences] .78 [CLEAN_Rate]-[Clean_Goal] [Late_Chgs]/[Revenue] .04 [Late_Rate]-[Late_Goal]

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Model Name: SAP__HC_RC_KPI Rolling_Denials Rolling_Reqd Rolling_Occurrences Verify_Base Verify_Rate Dimensions Rolling_Denials Rolling_Reqd Rolling_Occurrences Verify_Base Verify_Rate Denial_Rate

Rolling Denials Rolling Reqd Rolling Occurrences Verify Base Verification Rate
Rolling Denials Rolling Reqd Rolling Occurrences Verify Base Verification Rate Denial Rate

 Note
* Private dimension and other dimensions are public.

Connection
[Verified]/[Occurrences] Mapping
[Verified]/[Occurrences] [Denial_Count]/[Occurrences]

3.7.3.3 Revenue Cycle KPIs (SAP__HC_RC_AN) Model Structure

Model Name: SAP__HC_RC_AN

Model Description: SAP Healthcare: Revenue Cycle Analytics Module

Model Purpose: Extracts Data for Healthcare Revenue Cycle Analytics

Planning Enabled: No

Account

ID

Description

Formula

Denials

Denials

InsVerRate

Insurance Verification [Verified]/[Occurrences] Rate

AuthRate

Authorization Rate

[Auth_Obtnd]/[Auth_Reqd]

Verify_Rate

Verification Rate

[Verified]/[Occurrences]

Denial_Rate

Denial Rate

[Denial_Count]/[Occurrences]

Dimensions Dimension Name

Dimension Description

Dimension type

Public/Private Di mension

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Date

Year Month

Facility

Facility (Hospital)

Financial Class

Payer Class

Patient Type

Type of Patient

Additional Notes about the model

All the data is provided from the Spreadsheet.

Time Generic Generic Generic

Private Private Private Private

3.7.3.4 Quality Reporting (SAP__HC_QI) Model Structure

Model Name: SAP__HC_QI

Model Description: SAP Healthcare: Quality Reporting

Model Purpose: Provides Data for Quality Reporting

Planning Enabled: No

Account

ID

Description

Formula

Actual

Actual Numerator

Denominator

Actual Denominator

Goal

Goal Numerator

GS_Den

Goal Standard Denom inator

Expected

Expected Count

[Denominator]*[Goal]/[GS_Den]

Actual_P

Actual Percentage

[Actual]/[Denominator]

Expected_P

Expected Percentage [Goal]/[GS_Den]

Dimensions

Dimension Name

Dimension Description

Dimension type

Public/Private Di mension

Date

Year Month

Time

Private

Facility ID

Facility (Hospital)

Generic

Private

Measure ID

Measure Description

Generic

Private

Generic

Private

Additional Notes about the model

All the data is provided from the Spreadsheet.

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3.7.3.5 Patient Satisfaction Survey (SAP__HC_HCAHPS) Model Structure

Model Name: SAP__HC_HCAHPS

Model Description: SAP Healthcare: Patient Survey Reporting

Model Purpose: Provides Data for Patient Survey

Planning Enabled: No

Account

ID

Description

Num_Val

Actual Numerator

Dem_Val

Actual Denominator

HCAHPS_SCORE

Calculated Score

Expected_val

Exected Count

Dimensions

Dimension Name

Dimension Description

Date

Year Month

Facility ID

Facility (Hospital)

Measure ID

Measure Description

Additional Notes about the model

All the data is provided from the Spreadsheet.

Formula

[Num_Val]/[Dem_Val] [Dem_Val] * .8

Dimension type
Time Generic Generic

Public/Private Di mension Private Private Private

3.7.3.6 Population Health Management (SAP__HC_DIABETES) Model Structure

Model Name: SAP__HC_Diabetes

Model Description: SAP Healthcare: Population Health Reporting

Model Purpose: Provides Data for Population Health

Planning Enabled: No

Account

ID

Description

PT_Count

Patient Count

Compliance_Count

Compliance Count

A1C

A1C Value

LDL

LDL Value

Formula 1 1 if compliant

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BMI

BMI Value

Diabetic_Count

Diabetic Count

Under_Control

Under Control

LDL_High_Count

LDL High Count

Hypertensive_Count

Hypertensive Count

BMI_High_Count

BMI High Count

Obese_Count

Obese Count

PCT_Under_Control

% Under Control

PCT_DIABETIC

% Diabetic

PCT_LDL_HIGH

% LDL High

PCT_OBESE

% Obese

PCT_COMPLIANT

% Compliant

Dimensions

Dimension Name

Dimension Description

Date

Year Month

Facility ID

Facility (Hospital)

ID

Patient ID

Patient Name

Patient Name

Gender

Gender

Age

Age

Marital Status

Marital Status

Race

Race

Compliance

Y if all required tests complete

Foot Exam

Y if Foot Exam within 12 months

Eye Exam

Y if Eye Exam within 12 months

Smoker

Y if Smoker

Colonoscopy

Y if Colonoscopy taken in required period

Diabetic State

Normal/Pre-Diabetic / Diabetic

Physician

Physician Name

Lat

Latitude of Patient Address

Long

Longitude of Patient Address

Additional Notes about the model

All the data is provided from the Spreadsheet.

1 if diabetic 1 if under control 1 if LDL High 1 if hypertensive 1 if BMI high 1 if Obese [Under_Control]/[PT_Count] [Diabetic_Count]/[PT_Count] [LDL_High_Count]/[PT_Count] [BMI_High_Count]/[PT_Count] [Compliance_Count]/[PT_Count]

Dimension type
Time Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic Generic

Public/Private Di mension Private Private Private Private Private Private Private Private Private Private Private Private Private Private Private Private Private

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3.8 High Tech
3.8.1 Architecture and Abstract
This SAP Analytics Cloud content provides a 360° health and performance view of an OEM company. They use S4/HANA, Concur, Fieldglass, SuccessFactors and Cloud of Customer (C/HANA) to run their business. Access to this dashboard, provides C-level and managers of various LoBs within the organization to gain access to necessary information easily especially during board meetings. Architecture

The colored objects are documented in this chapter.
The documentation for the greyed-out stories and models can be found in the respective Lines of Business (LoB) chapters

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3.8.2 Stories 3.8.2.1 SAP High Tech for OEM (SAP_HIGH TECH_OEM)

Measure Name Net Prompter Score Current Month Item Values Open Sale
Difference From Example

Type Calculated Measure Restricted Measure Restricted Measure
Restricted Measure Difference From

Aggregation Example

Aggregation

Avg Product Quality Satisfaction

Aggregation

Avg Customer Support Satisfaction

Aggregation

Formula/Properties [## Prompters]*100/[#Unique Count] - [## Detractors]*100/[#Unique Count]
Item Value [Measure 1] restricted by Time on Q1 (2019)
Measure [Item Value] + Dimension [Lifecycle Status] and Input Controls [1,2]
Item Value [Measure 1] + Time [Dimen sion 1] and Input Controls
Measure [Measure 1] and Time Dimen sion [Dimension 1]
Compare (A) [Period A] to (B) [Period B] Nth Period [Period]
Set No Data as Zero [Yes/No]
Calculate as Percentage [Yes/No]
Operation [SUM/COUNT/COUNT DI MENSION/MIN/MAX ]
Measure [Measure 1] by Aggregation Dimension [Dimension 1]
Conditional Aggregation [Yes/No]
Operation [AVERAGE excl. NULL]
Measure [Product quality Satisfaction] by Aggregation Dimension [Opportu nity]
Operation [AVERAGE excl. NULL]
Measure [Customer support Satisfac tion] by Aggregation Dimension [Op portunity]

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Measure Name Avg Product Design Satisfaction

Type Aggregation

Avg Product Packaging Satisfaction

Aggregation

Avg Product

Aggregation

Formula/Properties
Operation [AVERAGE excl. NULL]
Measure [Product Design Satisfaction] by Aggregation Dimension [Opportu nity]
Operation [AVERAGE excl. NULL]
Measure [Product Packaging Satisfac tion] by Aggregation Dimension [Op portunity]
Operation [AVERAGE excl. NULL]
Measure [Brand Recognition Satisfac tion] by Aggregation Dimension [Op portunity]

3.8.3 Models
SAP Finance (SAP__HT_XO_FI)

Model Name: SAP__HT_XO_FI
 Model Description: SAP Finance: General - Financial Statement
 Planning Enabled: Yes

Connection
 Connection type - Data import from S/4 HANA  Local host - Excel

SAP Human Resource (SAP__HT_XO_HR_Headcount)

Model Name: (SAP__HT_XO_HR_Headcount)

Connection

 Model Description: SAP Human Resources: Headcount  Planning Enabled: No

 Import data connection from SuccessFactors  Local host - Excel

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SAP Human Resource: General - Headcount (SAP__HR_GEN_IM_HEADCOUNT)

Model Name: Technical Name of the Model
 Model Description: SAP Human Resources: General Headcount
 Planning Enabled: No

Connection
 Import data connection from SuccessFactors  Local host - Excel

SAP Vendor Management System (SAP__VMS_GEN_IM_WORKER_GEO)

Model Name: Technical Name of the Model

Connection

 Model Description: SAP Vendor Management System: General - Location
 Planning Enabled: No

 Import data connection from Fieldglass  Local host - Excel

SAP Vendor Management System (SAP__VMS_GEN_IM_WORKER)

Model Name: Technical Name of the Model

Connection

 Model Description: SAP Vendor Management System: General - Workforce
 Planning Enabled: No

 Import data connection from Fieldglass  Local host - Excel

SAP Employee Survey (SAP__HT_XO_Survey_Actual)

SAP__HT_XO_Survey_Actual
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

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SAP Customer Survey - Flight Risk Influencer (SAP__HT_XO_FlightRisk_Influencer)

Technical Name of the Model
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

SAP Vendor Management - Experience Data (SAP__VMS_GEN_IM_SUPPLIER)

Technical Name of the Model
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

SAP Customer Relationship Management (SAP__CRM_GEN_IM_OPPORTUNITIES)

Technical Name of the Model
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

SAP Travel Expense by location (SAP__TE_GEN_IM_EXPENSEENTRY_W_GEO)

Technical Name of the Model
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

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SAP Travel Expense Reporting (SAP__TE_GEN_IM_EXPENSEREPORT)

Technical Name of the Model
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

SAP Travel Expense - General (SAP__TE_GEN_IM_EXPENSEENTRY)

Technical Name of the Model
 Model Description: Description of the Model  Planning Enabled: No

Connection
 Import data connection from Customer Data Manage ment
 Local host - Excel

3.9 Industry Innovation Kit - Zero Waste
3.9.1 Architecture and Abstract
Retail organizations make educated guesses about store traffic from day to day and stock their shelves to match it. However, they often overestimate, resulting in expired food and lost revenue. In 2010, retail industry wasted 43 billion pounds of food in the United States alone, the equivalent of 46.7 billion USD. In an industry characterized by thin margins, tapping into this pool grants a critical advantage.
SAP Leonardo for Retail
Zero Waste takes the guesswork out of the equation by leveraging daily demand forecasting, powered by machine learning. Our solution combines crucial elements, feeding in information about products, marketing campaigns, and external events to predict units sold. Maintain a balance between selling what you shelve, but not leaving the shelves empty. Seamlessly integrate with your current opening routine. Automate instructions daily to butcher, bake, prepare, or stock only what your customers need (and what you stand to profit from).

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Architecture

The colored objects are documented in this chapter.
The documentation for the greyed-out stories and models can be found in the respective Line(s) of Business (LoB) chapters

3.9.2 Dashboard
The SAP Analytics Cloud dashboard (SAP_IKZW_GEN_LH_ZEROWASTE), which is included as part of Retail Zero-Waste IIK, comprises of a story with five pages and each page contains multiple visualizations. Each SAP Analytics Cloud visualization focuses on a set of KPIs that combine to provide helpful insights for the store manager. For example, the Sales Analysis page provides information about the total sales and forecasted sales of the product. This information enables the store manager to initiate an investigation and understand the status of availability and the demand of the product. Details of stories in below section.

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3.9.3 Stories
This story consists of five pages: Page Name Sales analysis Wastage analysis
Key influencers
Store comparison
Location analysis

Page Overview
 It has comparison of actual vs estimated sales for cur rent and previous year.
 Forecasted sales of next 7 days.  Top and bottom 3 stocks of various products.
 It has a numeric indicator showing the  Revenue Loss on Wastage and %Wastage.  Bar chart which indicates Revenue Loss per Category
(Damaged, Lost, Expired).  Tree map (Top 5) showing the Wastage per Product Cat
egory.
 It has a numeric indicator on top left corner indicating the Sales Forecast
 Quality of model.  Influencing factors on sales.  Monthly influence on sales.
 It has option to compare sales among multiple stores.  Numeric indicators for actual vs estimated sales for se
lected stores.  Line chart showing influencers impacting sales.  Revenue loss on wastage for selected stores.  Wastage per category for selected stores.
 It has bubble chart with Temperature along x-axis, Total Sales along y-axis and the bubbles showing values for Wastage.
 Comparison between compare sales among multiple stores per month.
 Table with details of Store ID, Store,  Temperature, Humidity, and % Wastage,  Total Wastage and Last Day Total Sales.

3.9.3.1 Story Description (Story Technical Name)

Measure Name Actual Sales Vector Actual Sales This Year

Type Calculated Measure Restricted Measure

Formula/Properties
Actual sales* cost
Restricted Measure(Actual Sales) with Filter (Date, Dynamic, Lookback (0 Years))

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Measure Name Actual Sales
Actual Sales till Last Year

Type Aggregation
Aggregation

Actual Sales Last Year Estimated Sales Vector Estimated Sales Estimated Sales This Year Estimated Sales till Last Year

Restricted Measure Calculated Measure Aggregation Restricted Measure Aggregation

Estimated Sales Last Year
Damaged Vector Damaged
Expired Vector Expired Lost Vector Lost InStore + InTransit Vector InStore + InTransit
InStore

Restricted Measure
Calculated Measure Aggregation
Calculated Measure Aggregation Calculated Measure Aggregation Calculated Measure Aggregation
Calculated Measure

Content Package User Guide Industries

Formula/Properties
Aggregation(Actual Sales Vector) with SUM Dimensions (Date, Store, Product)
Aggregation (Actual Sales Vector) with SUM Dimensions (Date, Store, Prod uct), Conditional Aggregation, do not have measure values for conditions, Condition (Date, Dynamic Lookback (0 Years))
Restricted Measure (Actual Sales till Last Year) with Filter (Date, Dynamic, Lookback (1 Year))
forecastedquantity * cost
Aggregation (Estimated Sales Vector) with SUM, Dimensions (Date, Store, and Product)
Restricted Measure (Estimated Sales) with Filter (Date, Dynamic , Lookback (0 Years))
Aggregation (Estimated Sales Vector) with SUM Dimensions (Date, Store, and Product), Conditional Aggregation, do not have measure values for conditions with Condition (Date, Dynamic, and Lookback (0 Years))
Restricted Measure (Estimated Sales till Last Year) with Filter (Date, Dynamic, Lookback(1 Year))
destroyedcapacity* cost
Aggregation(Damaged Vector) with SUM Dimensions(Date, Store, and Product)
expiredcapacity* cost
Aggregation(Expired Vector) with SUM Dimensions(Date, Store, and Product)
lostcapacity* cost
Aggregation(Lost Vector) with SUM Di mensions(Date, Store, and Product)
(onshelfcapacity + intransitcapacity + storagecapacity)* cost
Aggregation(InStore + InTransit Vector) with SUM Dimensions(Date, Store, and Product)
(onshelfcapacity + storagecapacity) * cost

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Measure Name InTransit Influence MAPE
Demand Difference in Stock Difference
Difference This Year

Type Calculated Measure Calculated Measure Aggregation
Calculated Measure Calculated Measure Calculated Measure
Calculated Measure

Difference Last Year

Calculated Measure

Montly Influence

Restricted Measure

Sales Forecast Quality Top 3
Total Sales Total Wastage Sold Quantity Last 23 Days

Calculated Measure Calculated Measure
Calculated Measure Calculated Measure Restricted Measure

Forecasted Quantity 7 Days

Restricted Measure

Sold Quantity Last Year filtered for 23 days

Calculated Measure

Sold Quantity Last Year

Restricted Measure

Formula/Properties
InTransit
decomp_val / forecastedquantity
Aggregation(mape_value) with AVG Di mensions(Date, Store, and Product)
Estimated Sales
InStore + InTransit ­ Demand
(Actual Sales ­ Estimated Sales) / Ac tual Sales
(Actual Sales This Year ­ Estimated Sales This Year) / Actual Sales This Year
(Actual Sales Last Year ­ Estimated Sales Last Year) / Actual Sales Last Year
Restricted Measure(Influence) with Fil ter(decomp_tag ,Mem ber(SYS:CAL:YR:HRM))
1 ­ MAPE
InStore + InTransit Vector ­ Estimated Sales Vector
Actual Sales
Lost + Damaged + Destroye
Restricted Measure(totalunitssold) with Filter(Date, Dynamic, and Lookback(23 Days))
Restricted Measure(forecastedquan tity) with Filter(Date, Dynamic, and Lookahead(7 Days))
Aggregation(totalunitssold) with SUM Dimensions(Date, Store, and Product), Conditional Aggregation , Do not have values for conditions , Condition(Date, Dynamic, and Lookback(358 Days))
Restricted Measure(Sold Quantity Last Year filtered for 23 days) with Fil ter(Date, Dynamic, and Lookback(388 Days))

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Measure Name MonthOrder

Type Calculated Measure

Content Package User Guide Industries

Formula/Properties
 Sample Code
MonthOrder Calculated Measure IF([month]="Jan",
1,
IF([month]="Feb", 2,
IF([month]="Mar", 3,
IF([month]="Apr", 4,
IF([month]="May", 5,
IF([month]="Jun", 6,
IF([month]="Jul", 7,
IF([month]="Aug", 8,
IF([month]="Sep", 9,
IF([month]="Oct", 10,
IF([month]="Nov", 11,
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Measure Name

Type

Formula/Properties
12, 13 ) ) ) ) ) ) ) ) ) ) ) )

3.9.4 Models
3.9.4.1 Model Description (SAP_IKZW_GEN_LH_ZEROWASTE)

Model Name: SAP_IKZW_GEN_LH_ZEROWASTE
 Model Description: Model created for consuming HANA View  Planning Enabled: No

Dimensions Name PRODUCTNAME CATEGORY

Description Product Category

Connection  HANA Live Connection  Connection Name: SAPRTHINV  HANA View: ZerowasteIIKDash
board
Mapping PRODUCTNAME CATEGORY

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Model Name: SAP_IKZW_GEN_LH_ZEROWASTE

SUBCATEGORY

Subcategory

PRODUCTDESCRIPTION

Product description

PRODUCTUNIT

Product Unit

BARCODE

Barcode

COSTUNIT

Currency Unit

SKUID

SKUID

STOREID

Store ID

CITYID

City

STORENAME

Store

ADDRESS

Address

LATITUDE

Latitude

LONGITUDE

Longitude

PRODUCTLOCATION

Product Location

REVIEWSTATUS

Review Status

CURRENTTIMESTAMP

Date

PROMOTIONCATEGORY

Promotion Category

DATE

Date

WEATHERMAIN

Weather Main

WEATHER DESCRIPTION

Weather Description

CLOUD_ALL

Cloud_All

WEEKDAY

Weekday

MONTH

Month

DAY

Day

YEAR

Year

HOL_ID

HOL_ID

OPER_STATUS

OPER_STATUS

OFR_ID

OFR_ID

DECOMP_TAG

Influencer

DECOMP_ATTR

DECOMP_ATTR

MONTHNAME

Month

Connection SUBCATEGORY PRODUCTDESCRIPTION PRODUCTUNIT BARCODE COSTUNIT SKUID STOREID CITYID STORENAME ADDRESS LATITUDE LONGITUDE PRODUCTLOCATION REVIEWSTATUS CURRENTTIMESTAMP PROMOTIONCATEGORY DATE WEATHERMAIN WEATHER DESCRIPTION CLOUD_ALL WEEKDAY MONTH DAY YEAR HOL_ID OPER_STATUS OFR_ID DECOMP_TAG DECOMP_ATTR MONTHNAME

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3.9.5 Known Limitations

Limitations

Solution

In the Analytics Dashboard, a store manager will be able to User must have store manager role. view the charts for all the stores as currently there is no store specific restriction/authorization. But in the Fiori appli cation, a store manager can only view the data of the stores for which the access is provided.

Currency must be same across all the stores and there is no support for currency conversion. If you import data with multiple currencies, you might encounter issues in the func tionality of the product.

Currency Conversion feature will be planned in future re leases.

You can import any measurement unit for a product, and it will be respected, but there is no provision for unit conver sion.

Unit conversion feature will be available planned in future re leases.

3.10 Insurance
3.10.1 Architecture and Abstract
The Insurance Digital Boardroom provides Insurance carrier decision makers with a real-time data driven platform to track LOB and Insurance specific KPI's around Finance, Sales, and Channel Analysis, People, and Travel Management.
The complete Insurance content is built with data acquisition models in order to provide sample data. In general, the data models can be copied and filled with data from customer systems.
Some of the insurance models, however, are sourced from SAP HANA views of the SAP Cloud Appliance Library. Data from SAP HANA views cannot be used to stage data into data acquisition models.
For those cases, new live data connection models need to be created. The documentation describes the required SAP HANA views and their fields in detail. The structure of the live models corresponds to the delivered data acquisition models. Thus, stories can easily be switched to run on the live data models once these are created.

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Architecture

3.10.2 Dashboard
Insurance delivers the Digital Boardroom SAP Insurance: Dashboard (SAP_INS_Dashboard).

3.10.3 Stories
SAP Insurance: General - Overview (SAP__INS_GEN_OVERVIEW) This story provides the most important KPIs and thus provides a comprehensive overview of the business. SAP Insurance: Finance (SAP__INS_FI_GEN_FINANCE) This story contains insurance specific and LOB Finance KPI's with year over year and multiple actual versus plan comparisons.

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SAP Insurance: Profitability and Solvency (SAP__INS_GEN_PROFITABILITY)
This story contains insurance specific and LOB Profitability and Solvency KPI's with year over year over year comparisons.
SAP Insurance: Exp., Rev., Profit. Value Driver Trees (SAP__FS_GEN_PROFITVDT)
This story enables insurance carriers to plan and simulate results for multiple expense and revenue value drivers.
SAP Insurance: IFRS 17 Accounting Standard (SAP__INS_GEN_IFRS17)
This story contains IFRS17 specific measures such as contractual Service Margin, Insurance Service Result, and many others to help Insurance carriers comply with the IFRS17 accounting standard.
SAP Insurance: Sales Channel and Product (SAP__INS_SALES_CHANNEL_PRODUCT)
This story contains insurance specific KPI's to manage insurance sales, product, and channel distribution.
SAP Insurance: People Review (SAP__INS_HR_GEN_HR)
This is a copy of the story SAP__HR_GEN_HR (SAP Human Resources: General).
SAP Insurance: Travel Management (SAP__INS_GEN_TRAVELEXPENSE)
This story is a placeholder for the story SAP__TE_GEN_IM_EXPENSEREPORTS (SAP Travel Management: General). For technical reasons, the travel and expense story cannot be included.

3.10.4 Models
3.10.4.1 Finance ­ General Ledger: SAP__INS_FI_IM_GENERALLEDGER

Model Name: SAP__INS_FI_IM_GENERALLEDGER
 Model Description: SAP Finance ­BPC Finance with Plan vs Actual  Planning Enabled: Yes

Calculated Measures in GL Account

ID

Description

F1

Revenues

F10

Loss Ratio

F11

Combined Ratio

Connection
 Connection Type: Import Data Connection to an SAP BPC System
 BPC Model: Planning  BPC Environment
Name: INS21_FI_C
Formula/Mapping Revenue Insurance Benefits/Revenue Insurance Benefits + Com missions + Operating Ex penses/Revenue

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Model Name: SAP__INS_FI_IM_GENERALLEDGER

F12

Net profit Margin

F13

Policy Count

F2

Expenses

F3

Contribution Margin

F4

Losses Incurred

F5

Net Written Premium

F6

Net Fixed Assets

F7

UW Profit/Loss

F8 F9 Dimensions ID AUDIT_TRAIL CLAIM_YEAR COMPANY_CODE COST_CENTER CURRENCY Flow FUNCTIONAL_AREA LEDGER LINE_OF_BUSINESS PROFIT_CENTER RISK_LOCATION RISK_REGION SALES_CHANNEL SEGMENT TRADING_PARTNER

Commission Expense Operating Expense

Description Audit Trail Claim Year Company Code Cost Center Currency Flow Functional Area Ledger Line of Business Profit Center Risk Location Risk Region Sales Channel Segment Trading Partner

 Note
* Private dimension and other dimensions are public.

Connection Net Income After Taxes / Revenue Policies Accepted Benefit Expenses Revenue ­ Benefit Expenses Insurance Benefits Gross Written Premium + Sales Revenue ­ Insurance Premiums Net Fixed Assets Revenue ­ Insurance Bene fits - Commissions Commissions Operating Expenses
Mapping AUDIT_TRAIL CLAIM_YEAR COMPANY_CODE COST_CENTER CURRENCY FLOW FUNCTIONAL_AREA LEDGER LINE_OF_BUSINESS PROFIT_CENTER RISK_LOCATION RISK_REGION SALES_CHANNEL SEGMENT TRADING_PARTNER

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3.10.4.2 General - Open Items: SAP__INS_GEN_IM_OPENITEMS

Model Name: SAP__INS_GEN_IM_OPENITEMS

 SAP Insurance: General - Open Items  Planning Enabled: Yes

Open Item Account ID OpenTotal Open 1 to 30 Days Open Over 90 Days Open 61 to 90 Days Open 31 to 60 Days Not Overdue Dimensions ID SAP_INS_COMMISSIONBP SAP_INS_COMMISSIONCONTRACT SAP_INS_POLICY SAP_INS_INSURANCECONTRACT SAP_INS_INSURANCEMAINTRANS SAP_INS_INSURANCESUBTRANS SAP_INS_POLICYHOLDERNAME Additional Notes

Description OpenTotal Open 1 to 30 Days Open Over 90 Days Open 61 to 90 Days Open 31 to 60 Days Not Overdue
Description Commission Business Partner Commission Contract Policy Insurance Contract Insurance Main Transaction Insurance Sub Transaction Policy Holder

Connection Local File based on SAP HANA View¹: Z_OPENITEMSCOMMISIONCONTRACT
Formula/Mapping InsurOpenTotAmt InsurOpen1to30DayOverduAmt InsurOpenOver90DayOverduAmt InsurOpen61to90DayOverduAmt InsurOpen31to90DayOverdueAmt InsurOpenNotOverduAmt
Mapping CommissionBPName CommissionContract InsurancePolicy InsuranceContract InsurMainTransactionName InsurSubtransName BusinessPartnerFullName

*The Hana View Z_OPENITEMSCOMMISSIONCONTRACT is available in SAP Best Practices for Insurance which is an inno vative solution allowing insurance carriers to operate their entire business for P&C and Life on the SAP Hana platform in the Cloud provided by the SAP Cloud Appliance Library.

Link to deploy the CAL solutions: https://cal.sap.com/

3.10.4.3 General - Policy Applications: SAP__INS_GEN_POLICY

Model Name: SAP__INS_GEN_IM_POLICY

Connection

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 SAP Insurance: General - Policy Application  Planning Enabled: Yes

Policy Account ID Number of Applications Dimensions ID SAP_INS_PRODUCTGROUP SAP_INS_PRODUCT SAP_INS_POLICY SAP_INS_APPLICATION SAP_INS_BUSPROCTYPE SAP_INS_APPTYPE SAP_INS_CHANNEL SAP_INS_COMISSIONBP SAP_INS_APPSTATUS Additional Notes about the model

Description Number of Applications
Description Product Group Product POLICY Application Business Process Type Application Type Channel Commission Business Partner Application Status

Local File based on SAP HANA View¹: Z_POLICYAPPLICATIONCOMMISSION CONTRACT
Formula/Mapping NumbrofInsurAppls
Mapping InsurPlcyProdnCtrlCatName InsurPlcyProdnLongName InsurancePolicy InsuranceApplication InsurPlcyBusProcTypeName InsurPlcyAcqnTypeName InsurPlcyDistrChnlName CommissionBPName InsurApplLifeCycStsName

¹The Hana View Z_POLICYAPPLICATIONCOMMISSIONCONTRACT is available in SAP Best Practices for Insurance which is an innovative solution allowing insurance carriers to operate their entire business for P&C and Life on the SAP Hana plat form in the Cloud provided by the SAP Cloud Appliance Library.
Link to deploy the CAL solutions: https://cal.sap.com/

3.10.4.4 General ­ Portfolio: SAP__INS_GEN_IM_PORTFOLIO

Model Name: SAP__INS_GEN_IM_PORTFOLIO

 SAP Insurance: General ­ Portfolio  Planning Enabled: Yes

Portfolio Account ID Number of Policies Number of Contracts Premium After Tax Dimensions ID

Description Number of Policies Number of Contracts Premium After Tax
Description

Connection Local File based on SAP HANA View¹: Z_PORTFOLIOASSIGNMENT_POLICY
Formula/Mapping NumbrPolicies NumbrOfInsurContrs InsurPerdPremAftTaxPayAmt
Mapping

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Model Name: SAP__INS_GEN_IM_PORTFOLIO

SAP_INS_COMMISSIONBP

Commission Business Partner

SAP_INS_COMMISSIONCONTRACT Commission Contract

SAP_INS_POLICYHOLDERNAME

Policy Holder

SAP_INS_CHANNEL

Channel

SAP_INS_PRODUCTGROUP

Product Group

SAP_INS_POLICY

Policy

SAP_INS_INSURANCECONTRACT

Insurance Contract

SAP_INS_PRODUCT

Product

Additional Notes about the model

Connection CommissionBPName CommissionContract PolicyHolderName InsurPlcyDistrChnlName InsurPlcyProdnCtrlCatName InsurancePolicy InsuranceContract InsurPlcyProdnLongName

*The Hana View Z_PORTFOLIOASSIGNMENT_POLICY is available in SAP Best Practices for Insurance which is an innova tive solution allowing insurance carriers to operate their entire business for P&C and Life on the SAP Hana platform in the Cloud provided by the SAP Cloud Appliance Library.

Link to deploy the CAL solutions: https://cal.sap.com/

3.10.4.5 General ­ Quote: SAP__INS_GEN_IM_QUOTE

Model Name: SAP__INS_GEN_IM_QUOTE
 SAP Insurance: General ­ Quote  Planning Enabled: Yes

Account ID NumberOfLeads NumberOfQuotes NumberOfPolicies Dimensions ID SAP_INS_COMMISSIONBP SAP_INS_COMMISSIONCONTRACT Additional Notes about the model

Description Number of Leads Number of Quotes Number of Policies
Description Commission Business Partner Commission Contract

Connection Local File based on SAP HANA View¹: Z_LEADQUOTEPOLICYCOMMISSION CONTRACT
Formula/Mapping NumberOfLeads NumberOfQuotes NumberOfPolicies
Mapping CommissionBPName CommissionContract

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Model Name: SAP__INS_GEN_IM_QUOTE

Connection

Data Source Connection and Integration
¹The Hana View Z_LEADQUOTEPOLICYCOMMISSIONCONTRACT is available in SAP Best Practices for Insurance which is an innovative solution allowing insurance carriers to operate their entire business for P&C and Life on the SAP Hana plat form in the Cloud provided by the SAP Cloud Appliance Library.
Link to deploy the CAL solutions: https://cal.sap.com/

3.10.4.6 General ­ Renumeration: SAP__INS_GEN_IM_RENUMERATION

Model Name: SAP__INS_GEN_IM_RENUMERATION

 SAP Insurance: General ­ Renumeration  Planning Enabled: Yes

Account ID RENUM_AMT Dimensions ID SAP_INS_BUSINESSPARTNER SAP_INS_COMMISSIONCONTRACT SAP_INS_RENUMPROD SAP_INS_ORGUNIT Additional Notes about the model

Description Renumeration Amount
Description Business Partner Commission Contract Renumeration Product Org Unit

Connection Local File based on SAP HANA View¹: Z_RENUMERATIONENTITLEMENT
Formula/Mapping REM_CONAMNT
Mapping Business PartnerID CommissionContract ElementProd_Txt OrgUnit_Parent_Txt

¹The Hana View Z_RENUMERATIONENTITLEMENT is available in SAP Best Practices for Insurance which is an innovative solution allowing insurance carriers to operate their entire business for P&C and Life on the SAP Hana platform in the Cloud provided by the SAP Cloud Appliance Library.
Link to deploy the CAL solutions: https://cal.sap.com/

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3.10.4.7 Finance - Profitability: SAP__INS_FI_IM_PROFITABILITY

Model Name: SAP__INS_FI_IM_PROFITABILITY

Connection

 SAP Insurance: Finance ­ Profitability  Planning Enabled: Yes

Local File based on SAP HANA View¹: Z_PROFITABILITY

Account ID NXI_AMT NXI_ASSET NXI_FCCOST NXI_FCINCOME NXI_INTASSR NXI_INTLIABR NXI_LIAB NXI_PAYMENT NXI_QA YACOST YCLAIMRES YCLAIMSD YCLAIMS YDURATION YEPREMD YEPREM YFINCOST YGMCOST YGWPREMD YGWPREM YHRCOST YITCOST YNCM
YNEPREM YNOM

Description

Formula/Mapping

Amount (TC)

NXI_AMT

AI Asset

NXI_ASSET

Fee & Commission Cos

NXI_FCCOST

Fee & Commission Inc

NXI_FCINCOME

Interest Rate Asset

NXI_INTASSR

Interest Rate Liabil

NXI_INTLIABR

AI Liability

NXI_LIAB

Payment

NXI_PAYMENT

Quantity

NXI_QA

Acquisition Costs

YACOST

Claims Reserve

YCLAIMRES

Claims

YCLAIMSD

Claims

YCLAIMS

Duration

YDURATION

Earned Premium

YEPREMD

Earned Premium

YEPREM

Finance Cost

YFINCOST

GM Cost

YGMCOST

Gross Written Premium

YGWPREMD

Gross Written Premium

YGWPREM

HR Cost

YHRCOST

IT Cost

YITCOST

Net Commissions Margin (CM2= CM1 + YNCM Fee & Commission Income ­ Fee & Commission Costs)

Net Earned Premium

YNEPREM

Net Overall Margin (CM4 =CM3 ­ Indi YNOM rect & Direct Costs)

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Model Name: SAP__INS_FI_IM_PROFITABILITY

YNPM

Net Premium Margin (CM1 = Net Earned Premium ­ Claims ­ Standard Acquisition Costs)

YNSM

Net Standard Margin (CM3= CM2 ­ Standard Process Costs)

YORPREMD

Outwards RI Premium

YORPREM

Outwards RI Premium

YOTHCOST

Other Cost

YREVSA

Revenue Split Acquisition

YREVSC

Revenue Split Control

YSACOSTD

Standard Acquisition Cost

YSALECOST

Sales Cost

YSPCOSTR

SP Cost Rate

YSPCOST

Standard Process Cost

YSTPCOSTT

Standard Proc Cost Tarif

YUNPREM

Unearned Premium

YVOLUME

Volume

Dimensions

ID

Description

NXI_TS

Time Stamp

NXI_COMPCODE

Company Code

NXI_PROFITC

Profit Centre

NXI_CHANNEL

Channel

NXI_CURR

Transaction C.

NXI_PRODTYPE

Product & Service Type

NXI_PRODUCT

Product

Additional Notes about the model

Connection YNPM
YNSM
YORPREMD YORPREM YOTHCOST YREVSA YREVSC YSACOSTD YSALECOST YSPCOSTR YSPCOST YSTPCOSTT YUNPREM YVOLUME
Mapping NXI_TS NXI_COMPCODE NXI_PROFITC NXI_CHANNEL NXI_CURR NXI_PRODTYPE NXI_PRODUCT

*Customers should have SAP Performance Management for Financial Services (in this case for insurance) at their end. The profitability model mentioned above is designed to work with the existing SAP Hana database view.
The SAP HANA database view should have the below columns which are based on underlying Profitability database table from the SAP HANA database.
Clients can create this view as per their table structure, the only condition is, they should contain all the columns which are defined in below mapping tables.

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3.10.4.8 Main Model for Solvency II: SAP__INS_FI_IM_SOLVENCY

Model Name: SAP__INS_FI_IM_SOLVENCYRISKS

 SAP Insurance: Risks model for Solvency II  Planning Enabled: Yes

Account ID KF_SCR_GROSS Dimensions ID CH_LEGAL_ENTITY CH_RISK_MOD CH_FUNC_CURR CH_KEY_DATE Additional Notes about the model

Description Overall SCR
Description Legal Entity Risk Module Functional Currency Key Date

Connection Local File based on View¹: Z_SOL VENCY_RISKS
Formula/Mapping KF_SCR
Mapping CH_LEGAL_ENTITY CH_RISK_MOD CH_FUNC_CURR CH_KEY_DATE

*Customers should have SAP Performance Management for Financial Services (in this case for insurance) at their end. This Solvency model is designed to work with the existing Hana database view which is defined above.
The SAP Hana database view should have the below columns which are based on underlying Solvency database table from Hana database.
Clients can create this view as per their table structure, the only condition is, they should contain all the columns which are defined in below mapping tables.
This view/table will have all the broader level risks information such as Market/Health/default/Life/Non-Life. Each row will have consolidated information for any given risk type such as Market/Health/etc. against given date, currency, and com pany code.

3.10.4.9 Risks Model for Solvency II: SAP__INS_FI_IM_SOLVENCYRISKS

Model Name: SAP__INS_FI_IM_SOLVENCYRISKS SAP Insurance: Risks model for Solvency II Planning Enabled: Yes Account

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Connection Local File based on View¹: Z_SOL VENCY_RISKS
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Model Name: SAP__INS_FI_IM_SOLVENCYRISKS

ID

Description

KF_SCR_GROSS

Overall SCR

Dimensions

ID

Description

CH_LEGAL_ENTITY

Legal Entity

CH_RISK_MOD

Risk Module

CH_FUNC_CURR

Functional Currency

CH_KEY_DATE

Key Date

Additional Notes about the model

Connection Formula/Mapping KF_SCR
Mapping CH_LEGAL_ENTITY CH_RISK_MOD CH_FUNC_CURR CH_KEY_DATE

¹ Customers should have SAP Performance Management for Financial Services (in this case for insurance) at their end. This Solvency model is designed to work with the existing HANA database view which is defined above.
The SAP HANA database view should have the below columns which are based on underlying Solvency database table from HANA database.
Clients can create this view as per their table structure, the only condition is, they should contain all the columns which are defined in below mapping tables.
This view/table will have all the broader level risks information such as Market/Health/default/Life/Non-Life. Each row will have consolidated information for any given risk type such as Market/Health/etc. against given date, currency, and com pany code.

3.10.4.10 Sub risks Model for Solvency II: SAP__INS_FI_IM_SOLVENCYSUBRISKS

Model Name: SAP__INS_FI_IM_SOLVENCYSUBRISK

 SAP Insurance: Sub risks model for Solvency II  Planning Enabled: Yes

Account ID KF_SCR_GROSS Dimensions ID CH_LEGAL_ENTITY CH_RISK_MOD CH_FUNC_CURR Additional Notes about the model

Description Overall SCR
Description Legal Entity Risk Module Functional Currency

Connection Local File based on SAP HANA View¹: Z_SOLVENCY_SUBRISKS
Formula/Mapping KF_SCR
Mapping CH_LEGAL_ENTITY CH_RISK_MOD CH_FUNC_CURR

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Model Name: SAP__INS_FI_IM_SOLVENCYSUBRISK

Connection

*Customers should have SAP Performance Management for Financial Services (in this case for insurance) at their end. This Solvency model is designed to work with the existing Hana database view which is defined above.
The SAP Hana database view should have the below columns which are based on underlying Solvency database table from Hana database.
Clients can create this view as per their table structure, the only condition is, they should contain all the columns which are defined in below mapping tables.
This view/table will have all the lower level risks information such as Equity/Currency/Mortality/CAT etc.,

3.10.4.11 IFRS17 (SAP__INS_FI_IM_IFRS17)

Model Name: SAP__INS_FI_IM_IFRS17

Connection

 SAP Insurance: IFRS17  Planning Enabled: Yes

 Connection Types: Local file based on SAP Insurance Analyser
 The raw data to calculate all meas ures below can be found in Insur ance Analyser table SBASE view of display result data or also in the delivered Hana view BV_RDL_SBA_SF

Account ID F1 F10
F11 F12 F13 F2 F3 F4

Description

Formula/Mapping

Cash inflows(Premium)

Refer to PKF for premium and other cash inflows

Cash Outflows (Claim)

Refer to PKF for guaranteed benefits, discretionary benefits, acquisition costs, other expenses

Insurance Contract (Asset/Liability)

PV FCF Liability for Remaining Cover age + Liability for Insured Claims

Reinsurance Contract (Asset/Liability) Subtotal to be calculated

Liability for Remaining Coverage

Subtotal of LRC CSM, LRC RA and LRC PV of FCF

Liability for Incurred Claims

GL account IS Ba L: Liability for Incur red Claims (PV FCF)

Loss Component

GL account IS PL: Loss/Gain on Oner ous Contract/Group

PV of future cash flows

GL Account PV of Future Cash Flows ­ LRC PV of FCF

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Model Name: SAP__INS_FI_IM_IFRS17

F5

Risk Adjustment non ­ financial risk

F6

Contractual Service Margin

F7

Insurance Contract Revenue

F8

Insurance Services Expense

F9
F10
F11 F14 F15
F16
Dimensions ID Time P_ACCOUNT SAP Insurance Policy SAP Insurance Portfolio SAP Insurance Legal Entity

Insurance Service Result
Gain/Loss from Reinsurance
Investment Income Insurance Finance Expense Finance Result
Profit/Loss
Description Time Account SAP Insurance Policy SAP Insurance Portfolio SAP Insurance Legal Entity

Connection
GL Account Risk Adjustment nonfinan cial risk ­ LRC RA GL Account Contractual Service Margin ­ LRC CSM GL Account Insurance Contract Reve nue Incurred Claims D220271 + Incurred Expenses D471811 + Amortization D471721 Insurance Revenue ­ Insurance Service Expense Reinsurance Service Result + Finance Result GL Account IS PL I: Investment Income Subtotal to be calculated Investment Income D471912 ­ Finance Expense Insurance services Result + Finance Re sult (Profit before tax)
Mapping Time P_ACCOUNT SAP Insurance Policy SAP Insurance Portfolio SAP Insurance Legal Entity

3.10.4.12 Exp., Rev., Profit. Value Driver Trees (SAP__INS_FI_IM_PROFITVDT)

Model Name: SAP__INS_FI_IM_PROFITVDT  SAP Insurance: Exp., Rev., Profit. Value Driver Trees  Planning Enabled: Yes
Measures in the Insurance Profitability Account

Connection
Connection Types: Offline Data Model. All measures and dimensions required to build the PROFITVDT planning model are found in the SAP__INS_FI_IM_PROFITABILITY model

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Model Name: SAP__INS_FI_IM_PROFITVDT

ID

Description

YNPM

Net Premium Margin

YNCM

Net Commissions Margin

YNSM

Net Standard Margin

YNOM

Net Overall Margin

YUNPREM

Unearned Premium

YNEPREM

Net Earned Premium

YHRCOST

HR Cost

YFINCOST

Finance Cost

YGMCOST

General Management Cost

YSALECOST

Sales Costs

YOTHCOST

Other Costs

YCLAIMRES

Claims Reserves

YITCOST

IT Costs

YREVSA

Revenue Split Acquisition

YVOLUME

Volume

YDURATION

Duration

YREVSC

Revenue Split Control

YSTPCOSTT

Standard Proc Cost Tarif

NXI_QA

Quantity

NXI_FCCOST

Fee and Commission Costs

NXI_FCINCOME

Fee and Commission Income

NXI_PAYMENT

Payment

NXI_ASSET

AI Asset

NXI_INTASSR

Interest Rate Asset

NXI_INTLIABR

Interest Rate Liability

NXI_LIAB

Liability

YGWPREM

Gross Written Premium

YEPREM

Earned Premium

YORPREM

Outwards RI Premium

YCLAIMS

Claims

YACOST

Acquisition Costs

YSPCOSTR

Standard Processing Costs

YSPCOST

Standard Process Cost

Connection Mapping YNPM YNCM YNSM YNOM YUNPREM YNEPREM YHRCOST YFINCOST YGMCOST YSALECOST YOTHCOST YCLAIMRES YITCOST YREVSA YVOLUME YDURATION YREVSC YSTPCOSTT NXI_QA NXI_FCCOST NXI_FCINCOME NXI_PAYMENT NXI_ASSET NXI_INTASSR NXI_INTLIABR NXI_LIAB YGWPREM YEPREM YORPREM YCLAIMS YACOST YSPCOSTR YSPCOST

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Model Name: SAP__INS_FI_IM_PROFITVDT

Connection

YGWPREMD

Gross Written Premium Discounted

YGWPREMD

YEPREMD

Earned Premium Discounted

YEPREMD

YCLAIMSD

Claims Discounted

YCLAIMSD

YORPREMD

Outwards RI Premium Discounted

YORPREMD

YSACOSTD

Standard Acquisition Cost Discounted YSACOSTD

NXI_AMT

Amount (TC)

NXI_AMT

F1

Direct Cost

F1

F2

Indirect Costs

F2

F3

Net Overall Margin Ratio

F3

F4

Net Standard Margin Ratio

F4

F5

Net Commission Margin Ratio

F5

DRV0000

Drivers

DRV0000

DRV00001

Growth Rate %

DRV00001

DRV00002

Sales Cost Growth Rate %

DRV00002

DRV00003

Other Cost Growth Rate %

DRV00003

DRV00004

IT Cost Growth Rate %

DRV00004

DRV00005

HR Cost Growth Rate %

DRV00005

DRV00006

GM Cost Growth Rate %

DRV00006

DRV00007

Finance Cost Growth Rate %

DRV00007

DRV00008

Fee & Comn Cost Growth Rate %

DRV00008

DRV00009

Claims Growth Rate %

DRV00009

DRV00010

Provisions Growth Rate %

DRV00010

DRV00011

Non-Interest Income Growth Rate % DRV00011

DRV00012

Other Income Growth Rate %

DRV00012

DRV00013

Interest Income Growth Rate %

DRV00013

DRV00014

Fee&Comn Income Growth Rate %

DRV00014

F6

Operating Income

F6

Other_Income

NA

Other_Income

F7

Operating Expenses

F7

F8

Net Operating Income

F8

Profit

Profit

Profit

DRV00015

Earned Premium Income Growth Rate DRV00015 %

Dimensions

ID

Description

Mapping

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Model Name: SAP__INS_FI_IM_PROFITVDT

NXI_TS

Time

NXI_COMPCODE

Company Code

NXI_PROFITC

Profit Center

NXI_PRODUCT

Product Name

NXI_CHANNEL

Channel Code/Name

NXI_CURR

Transaction Currency

NXI_PRODTYPE

Banking Product Type

Connection NXI_TS NXI_COMPCODE NXI_PROFITC NXI_PRODUCT NXI_CHANNEL NXI_CURR NXI_PRODTYPE

3.11 Mill Products (MIL)
3.11.1 Architecture and Abstract
With the SAP Analytics Cloud content, Mill Products companies can leverage consistent business intelligence to drive business decisions for production and sales strategies based on an increased transparency into the demand within their configurable product portfolio and other key business drivers.
Companies can visualize data to support optimal decision making, see the status of business at a glance, and use ad-hoc query functionality for further data analysis when required.
Furthermore, it will help business users to monitor and analyse business and operational performance and investigate the sources of variances, thus enabling business users to initiate decisive and optimal actions.
The content will help to:
- Analyse the financial performance including detailed information on Profit and Loss, Net and Gross Profit Margin, and Earnings and Expenses for the current year.
- Assess the product portfolio performance of business units with respect to contribution margin by material groups and configurable products.
 Analyse best- and non-selling configurable products to drive production planning decisions.  Identify increased usage of lower quality grades and average weight per order within the customer base to
create customer-tailored sales incentive programs.  Assess the opportunity pipeline as an indicator for future business health.  Analyse incidents and the root causes for injuries.  Provide transparency into the company's greenhouse gas emission reduction target.  Monitor key information related to the workforce and recruiting.  New with CI7: Review the production performance of a configurable product portfolio with regards to
quantity, scrap, and operation duration and costs of production orders.

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Architecture

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3.11.2 Dashboard
The dashboard which provides insights is: SAP_MIL_Dashboard

3.11.3 Stories
SAP Mill Products: General - Overview (SAP__MIL_GEN_OVERVIEW)

The overview page provides most relevant information from Finance, Sales, Environment, Health and Safety, and Hu man Resources.

Page: Overview

Charts

Title

Models Used

Financial Overview

SAP__FI_GEN_IM_GENERALLEDGER

This chart shows EBIT, Contribution Margin, and ROCE per month YTD.

5 Best-Selling Grades

SAP__MIL_CP_IM_CONFIGPRODUCTSD

This chart shows the 5 best-selling configurable products by Grade in Net Value, Item Gross Weight, and Average Item Gross Weight YTD.

Injuries

SAP__EHS_HS_IM_INCIDENTS

This chart shows the total number of injuries per month YTD.

Workforce Distribution

SAP__HR_GEN_IM_HEADCOUNT

This chart shows the workforce distribution across countries YTD.

Sales Pipeline

SAP__CHEM_PIP_IM_FORECAST

This chart shows Forecasted Revenue, Target Revenue, and Weighted Revenue per quarter.

Greenhouse Gas Emissions in CO2e

SAP__EHS_EM_IM_EMISSIONS

This chart shows the Greenhouse Gas Emissions in CO2e of the last 10 years including the total target.

SAP Mill Products: Finance - General (SAP__MIL_GEN_FINANCE)
General assessment of financial performance ­ based on P&L, investments, and account positions. This is a copy of the story SAP__FI_GEN_FINANCE (SAP Finance: Financial Boardroom).

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SAP Mill Products: Portfolio Performance (SAP__MIL_PRT_PORTFOLIO_PERF)
Analysis of product portfolio performance of business units with respect to contribution margin by material groups and configurable products. This is a copy of the story SAP__CHEM_PRT_PORTFOLIO_PERF (SAP Chemicals: Portfolio Performance).

SAP Mill Products: Configurable Products Production (SAP_MIL_CPCONFIGPRODUCTPROD)
Review of the production performance of a configurable product portfolio with regards to quantity, scrap, and operation duration and costs of production orders.

SAP Mill Products: Configurable Products Sales (SAP__MIL_CP_CONFIGPRODUCTSALES)

Analysis of best and non-selling configurable products, increased usage of lower quality grades, and average weight per order within the customer base.

Page: Details

Charts

Title

Models Used

Net Value in million USD (MUSD) and Item Gross Weight in million tons (Mte) Distribution

SAP__MIL_CP_IM_CONFIGPRODUCTSD

This chart shows the % distribution of the measures Net Value and Item Gross Weight YTD. Allows drilling down and up in the Material dimension. From Product Group to Configurable Product.

Configurable Products Sales Overview

SAP__MIL_CP_IM_CONFIGPRODUCTSD

This chart shows the Configurable Products Sales in Net Value, Item Gross Weight and Average Item Gross Weight per month YTD.

Configurable Products Sales by Country

SAP__MIL_CP_IM_CONFIGPRODUCTSD

This chart shows the Configurable Product Sales by Country in Net Value, Item Gross Weight, and Average Item Gross Weight YTD.

Configurable Products Sales by Grade

SAP__MIL_CP_IM_CONFIGPRODUCTSD

This chart shows the Configurable Product Sales by Grade in Net Value, Item Gross Weight, and Average Item Gross Weight YTD.

Page: Context

Charts

Title

Models Used

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Page: Details
Net Value Best-Selling Configurable Products by Grade and SAP__MIL_CP_IM_CONFIGPRODUCTSD Thickness
Filtered to show the 20 Best-Selling Products by Grade and Thickness in Net Value YTD.
Net Value Best-Selling Products by Grade and Outside Diam SAP__MIL_CP_IM_CONFIGPRODUCTSD eter
Filtered to show the 20 Best-Selling Products by Grade and Outside Diameter in Net Value YTD.

SAP Mill Products: Pipeline Health (SAP__MIL_PIP_ANALYSIS)
This is a copy of the story SAP__CHEM_PIP_ANAYSIS (SAP Chemicals: Pipeline Health).

SAP Mill Products: Environment, Health and Safety ­ Greenhouse Gas Emissions (SAP__MIL_EHS_EM_EMISSIONS)
This is a copy of the story SAP__EHS_EM_EMISSIONS (SAP Environment, Health, and Safety: Environment Management - Greenhous Gas Emissions).

SAP Mill Products: Environment, Health and Safety - Incidents (SAP__MIL_EHS_HS_INCIDENTS)
This is a copy of the story SAP__EHS_HS_INCIDENTS (SAP Environment, Health, & Safety: Health & Safety Incidents).

SAP Mill Products: Human Resources - General (SAP__MIL_HR_GEN_HR)
This is a copy of the story SAP__HR_GEN_HR (SAP Human Resources: General).

SAP Mill Products: Human Resources - Recruitment (SAP__MIL_HR_GEN_RECRUITMENT)
This is a copy of the story SAP__HR_GEN_RECRUITMENT (SAP Human Resources: Recruitment)

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3.11.4 Models

3.11.4.1 Configurable Products Production (SAP__MIL_CP_IMCONFIGPRODUCTPR)

Remark:
Actual and plan data is used in this model. There always exists one measure that contains the actual value and one measure that contains the plan value.
Two separate loads are needed to fill the correct data. For the version Actual the measure from the column Mapping/Formula from the table below that are marked with A (=Actuals) have to be mapped and for the version Plan the measure marked with P (=plan) have to be mapped.

Model Name: SAP__MIL_CP_IM_CONFIGPRODUCTPR

 Model Description: SAP Mill Products: Configurable Products Production  Planning Enabled: Yes

Account Dimension SAP_MIL_CP_CONFIGPRODUCTPR

ID

Description

WorkdayDurnInSeconds

Operation Duration in Sec

ScrapQuantity

Scrap Quantity

OperationQuantity

Operation Quantity

MfgOrderItemQty

Item Quantity

CostInCtrlgAreaCrcy

Costs

WorkdayDurInMinutes ScrapPerc%

Operation Duration Scrap %

Connection
Analytical CDS Query View: Customer created CDS View
Mapping/Formula I_MfgOrderOperationCube: Planned WorkdayDurnInSeconds (P) ActualWorkdayDurnInSeconds (A)
I_MfgOrderOperationCube: OpPlanned ScrapQuantity (P) OpTotalConfirmedScrapQty (A)
I_MfgOrderOperationCube: OpPlanned TotalQuantity (P) OpTotalConfirmedYieldQty (A)
I_MfgOrderItemCube: MfgOrderItem PlannedTotalQty (P) MfgOrderItemGoodsReceiptQty (A)
I_COProductCostByOrder: PlanCostInCtrlgAreaCrcy (P) ActlCostInCtrlgAreaCrcy (A) [WorkdayDurnInSeconds]/60 [ScrapQuantity]/[MfgOrderItemQty]

Dimensions

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Model Name: SAP__MIL_CP_IM_CONFIGPRODUCTPR

Name

Description

Time*

Time

Version

Version

SAP_MIL_CP_CONFMATERIAL* SAP_MIL_CP_LENGTH* SAP_MIL_CP_WIDTH* SAP_MIL_CP_THICKNESS* SAP_MIL_CP_GRADE* SAP_MIL_CP_SURFACE* SAP_MIL_CP_WALLTHICKNESS* SAP_MIL_CP_HEIGHT* SAP_MIL_CP_OUTSIDEDIAMETER* SAP_MIL_CP_INSIDEDIAMETER* SAP_MIL_CP_DIAMETER* SAP_ALL_MATERIAL

Configurable Material Length Width Thickness Grade Surface Wall Thickness Height Outside diameter Inside diameter Diameter Material

SAP_SD_ORDERNUM SAP_SD_ITEMNUMER SAP_ALL_CUSTOMER SAP_ALL_CUSTOMERGROUP SAP_MFG_ORDERNUM

Sales Order Number Sales Order Item number Customer Customer Group Production Order Number

SAP_MFG_ORDERITEMNUM

Production order item

SAP_MFG_ORDEROPERATION

Operation

SAP_MFG_PRODUCTIONUNIT SAP_MFG_WORKCENTER SAP_MFG_OPERATIONUNIT

Production Unit Work Center Operation Unit

SAP_MFG_PLANNEDDURATIONUNIT Planned duration unit

SAP_MFG_ACTUALDURATIONUNIT

Actual duration unit

Connection Mapping I_MFGORDER: MfgOrderCreationDate
Actual Plan
Base view: <ZCONFMATERIAL>** Base view: <ZLength>** Base view: <ZWidth>** Base view: <ZThickness>** Base view: <ZGrade>** Base view: <ZSurface>** Base view: <ZWall Thickness>** Base view: <ZHeight>** Base view: <ZOutside diameter>** Base view: <ZInside diameter>** Base view: <ZDiameter>**
I_MfgOrderItemCube: Material
I_MfgOrderItemCube: SalesOrder I_MfgOrderItemCube: SalesOrderItem I_CUSTOMER: CustomerName I_SALESORDER: CustomerGroup I_MfgOrderItemCube: Manufacturing Order I_MfgOrderItemCube: Manufacturin gOrderItem I_MfgOrderOperationCube: Manufac turingOrderOperation I_MfgOrderItemCube: ProductionUnit I_MfgOrderOperationCube: WorkCenter I_MfgOrderOperationCube: Operatio nUnit I_MfgOrderOperationCube: Planned DurationUnit
I_MfgOrderOperationCube: ActualDurationUnit

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Model Name: SAP__MIL_CP_IM_CONFIGPRODUCTPR

SAP_ALL_COMPANY_CODE

Company Code

SAP_ALL_PLANT Additional Notes about the model

Plant

Connection
I_COProductCostByOrder: Company Code
I_MfgOrderItemCube: ProductionPlant

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Model Name: SAP__MIL_CP_IM_CONFIGPRODUCTPR

Connection

** Naming of the characteristics depends on how it is defined in the backend system.
1. Core Data Service (CDS) views are SAP's strategic modeling approach for business entities. You can benefit from predelivered CDS cube and query views. For example, analyse sales order data. However, in case you want to analyse classification/configuration data, SAP cannot deliver CDS cubes upfront. The classes and characteristics for Classification/Configuration originate in the customer system and additional steps are required. Please review the following notes:  2330518 - Generating CDS views for classification/configuration  2384092 - Restrictions regarding CDS view generation  2490285 - Generating CDS views for classification/configuration in SAP S/4 HANA On Premise 1709
2. The delivered example content does not support that the configuration of a sales order item is updated after the pro duction order was created. This can result in wrong configuration values being displayed for the production order in the SAP Analytics Cloud story due to multiple versions of configuration for the sales order item.
3. The delivered example content is only available for S/4 HANA On-Premise. The CDS views are not released for S/4 HANA Cloud. The content assumes that an analytical CDS query view is created in the SAP S/4HANA backend system by the cus tomer joining information by the following CDS views:  I_MFGORDERITEMCUBE  ManufacturingOrder  ManufacturingOrderItem  Material  ProductionPlant  SalesOrder  SalesOrderItem  Material  ProductionUnit  MfgOrderItemPlannedTotalQty  MfgOrderItemGoodsReceiptQty  I_MFGORDER  MfgOrderCreationDate  I_MFGORDEROPERATIONCUBE  WorkCenter  ManufacturingOrderOperation  OperationUnit  PlannedDurationUnit  ActualDurationUnit  PlannedWorkdayDurnInSeconds  ActualWorkdayDurnInSeconds  OpPlannedTotalQuantity  OpTotalConfirmedYieldQty  OpTotalConfirmedScrapQty  I_SALESORDER  CustomerGroup

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Model Name: SAP__MIL_CP_IM_CONFIGPRODUCTPR
 I_CUSTOMER  CustomerName
 I_COPRODUCTCOSTBYORDER  CompanyCode  PlanCostInCtrlgAreaCrcy  ActCostInCtrlgAreaCrcy
 Note
* Private dimension and other dimensions are public.

Connection

3.11.4.2 Configurable Products Sales (SAP__MIL_CP_IM_CONFIGPRODUCTSD)

Model Name: SAP__MIL_CP_IM_CON

FIGPRODUCTSD

Connection

 Model Description: SAP Mill Prod ucts: Configurable Products Sales
 Planning Enabled: No

 Connection type: Import Data Connection to OData Services  Which systems: SAP S/4HANA On Premise and Cloud  Analytical CDS Query View: Customer created CDS View

SAP_MIL_CP_CONFIGPRODUCTSD* ID

Formula/Mapping
Matching Account Description in the Data Source(depends on customer definition)

Underlying Data Source and Technical Name of Account in the CDS views (see above). (depends on customer definition)

ItemGrossWeight OrderQuantity NetValue Dimensions ID
Time* SAP_ALL_BUSINESSAREA SAP_ALL_CUSTOMER

<ITEMGROSSWEIGHT>
<ORDERQUANTITY>
<NETAMOUNT> Mapping Matching Dimension in Data Source (depends on customer definition)
<CREATIONDATE> <BUSINESSAREA> <SOLDTOPARTY>

I_SALESORDERITEM: ITEMGROSS WEIGHT I_SALESORDERITEM: ORDERQUAN TITY I_SALESORDERITEM: NETAMOUNT
Underlying Data Source and Technical Name of Account in the CDS views (see above). (Depends on customer definition.) I_SALESORDER: CREATIONDATE I_SALESORDER: BUSINESSAREA I_SALESORDER: SOLDTOPARTY

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Model Name: SAP__MIL_CP_IM_CON

FIGPRODUCTSD

Connection

Customer Name

<CUSTOMERNAME>

SAP_ALL_CUSTOMERCOUNTRY

<COUNTRY>

SAP_ALL_CUSTOMERGROUP

<CUSTOMERGROUP>

SAP_ALL_DISTRIBUTIONCHANNEL <DISTRIBUTIONCHANNEL>

SAP_ALL_MATERIAL SAP_ALL_MATERIALGRPOUP

<MATERIAL> <MATERIALGROUP>

SAP_ALL_SALESORGANISATION SAP_SD_ORDERNUM SAP_SD_ITEMNUMER

<SALESORGANIZATION> <SALESORDER> <SALESORDERITEM>

SAP_MIL_CP_CLASS
SAP_MIL_CP_DIAMETER SAP_MIL_CP_GRADE SAP_MIL_CP_HEIGHT SAP_MIL_CP_INSIDEDIAMETER SAP_MIL_CP_LENGTH SAP_MIL_CP_OUTSIDEDIAMETER SAP_MIL_CP_SURFACE SAP_MIL_CP_THICKNESS SAP_MIL_CP_WALLTHICKNESS SAP_MIL_CP_WIDTH SAP_MIL_CP_CONFMATERIAL Additional Notes about the model

Currently not provided by the source: please set to "#" (unassigned) <Diameter>¹ <Grad>¹ <Height>¹ <Inside diameter>¹ <Length>¹ <Outside diameter>¹ <Surface>¹ <Thickness>¹ <Wall Thickness>¹ <Width>¹ <Configurable Material>

I-CUSTOMER: CUSTOMERNAME I_CUSTOMER: COUNTRY I_SALESORDER-CUSTOMERGROUP I_SALESORDER-DISTRIBUTIONCHAN NEL I_SALESORDERITEM: MATERIAL I_SALESORDERITEM: MATERI ALGROUP I_SALESORDER-SALESORGANIZATION I_SALESORDERITEM: SALESORDER I_SALESORDERITEM-SALESORDERI TEM Not available
Base view: <ZDiameter>¹ Base view: <ZGrade>¹ Base view: <ZHeight>¹ Base view: <ZInside diameter>¹ Base view: <ZLength>¹ Base view: <ZOutside diameter>¹ Base view: <ZSurface>¹ Base view: <ZThickness>¹ Base view: <ZWall Thickness>¹ Base view: <ZWidth>¹ Base view: <ZCONFMATERIAL>¹

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Model Name: SAP__MIL_CP_IM_CON

FIGPRODUCTSD

Connection

¹ Naming of the characteristics depends on definition in the backend system.
Data Source Connection and Integration.
Core Data Service (CDS) views are SAP's strategic modeling approach for business entities. You can benefit from pre-deliv ered CDS cube and query views.
For example, analyse sales order data.
However, in case you want to analyse classification/configuration data, SAP cannot deliver CDS cubes upfront. The classes and characteristics for Classification/Configuration originate in the customer system and additional steps are required. Please review the following notes:
 2330518 - Generating CDS views for classification/configuration  2384092 - Restrictions regarding CDS view generation  2490285 - Generating CDS views for classification/configuration in SAP S/4HANA On Premise 1709  2490167 - Generating CDS views for classification/configuration in SAP S/4HANA Cloud 1708
The content assumes that an analytical CDS query view is created in the SAP S/4HANA backend system by the customer joining information on sales orders, sales order items, and customers with configuration characteristics provided by the fol lowing CDS views:
1. Base view generated from transaction BSCL_CDS_GENERATE  All fields (including the configuration characteristics)
2. I_SALESORDERITEM  SALESORDER  SALESORDERITEM  ORDERQUANTITY  ORDERQUANTITYUNIT  NETAMOUNT  TRANSACTIONCURRENCY  ITEMGROSSWEIGHT  ITEMWEIGHTUNIT  MATERIAL  MATERIALGROUP
3. I_SALESORDER  SOLDTOPARITY  CREATIONDATE  BUSINESSAREA  CUSTOMERGROUP  DISTRIBUTIONCHANEEL  SALESORGANIZATION
4. I_CUSTOMER  CUSTOMERNAME  COUNTRY

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 Note
* Private dimension and other dimensions are public.
3.12 Mining (MIN)
3.12.1 Architecture and Abstract
Using SAP Analytics Cloud and its industry specific content Mining companies can visualize data to support optimal decision making, see the status of business and projects at a glance, and use ad-hoc query functionality for further data analysis when required. Furthermore, users can monitor and analyse business and operational performance and investigate the sources of variances. Thus, enabling them to initiate decisive and optimal actions. The solution improves the overall insight and tracks the company's performance.

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Architecture

3.12.2 Digital Boardroom
The Dashboard which can be used to obtain insights is: SAP_MIN_Dashboard

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3.12.3 Stories
SAP Mining: General Overview (SAP__MIN_GEN_OVERVIEW)
The overview page provides industry relevant Key Performance Indicators (KPI) from Lines of Business such as Finance, Human Resources, Health and Safety, Production, and Vendor Management.

SAP Mining: Direct Production Costs (SAP__MIN_MPC_PRODCOSTS)
Benchmark direct production costs per cost type per ton of ore for all locations being represented as cost centers in a hierarchy. Simulate effects of cost changes on the direct costs per ton to meet demanding efficiency targets. Direct costs instead of indirect costs are used in the simulation as they can easier be influenced.

SAP Mining: Environment, Health & Safety ­ General Overview (SAP__MIN_EHS_GEN_OVERVIEW)
This is a copy of the story SAP__EHS_GEN_OVERVIEW.

3.12.4 Models 3.12.4.1 SAP__OAG_UPC_IM_UPSTRPRODCOSTS

Model Name: SAP__OAG_UPC_IM_UPSTRPRODCOSTS

Connection

 Model Description: SAP Oil & Gas: Upstream Production Costs - Direct Costs  Planning Enabled: Yes;  Currency conversion: No

 Connection Type: Import Data Connection to an SAP BW System
 Connection Analytical Query: Please create a query based on the composite provider /IMO/ V_COOM01 using the below men tioned measure and dimensions.

Account* ID Costs Production Quantity Valuated Quantity

Description Costs Production Quantity Valuated Quantity

Formula/Mapping 0AMOUNT External Data¹ External Data¹

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Model Name: SAP__OAG_UPC_IM_UPSTRPRODCOSTS

Connection

Reference Price

Reference Price

External Data¹

Costs Threshold

Costs Threshold

External Data¹

Material Costs

Material Costs

RESTRICT([Costs],[d/ SAP_OAG_UPC_COSTELE MENT]=("500000"))

Energy Costs

Energy Costs

RESTRICT([Costs],[d/ SAP_OAG_UPC_COSTELE MENT]=("611000"))

Labour Costs

Labour Costs

RESTRICT([Costs],[d/ SAP_OAG_UPC_COSTELE MENT]=("943100","943200"))

Direct Total Costs

Direct Total Costs per Barrel

[Costs]/[ProductionQuantity]

Direct Material Costs

Direct Material Costs per Barrel

[Material Costs]/[ProductionQuantity]

Direct Energy Costs

Direct Energy Costs per Barrel

[Energy Costs]/[ProductionQuantity]

Direct Labour Costs

Direct Labour Costs per Barrel

[Labour Costs]/[ProductionQuantity]

Benchmark Costs Threshold

Benchmark Costs Threshold

Details([Reference Price]*[Costs Threshold])

Dimensions

ID

Description

Mapping

Time*

Time

0FISCPER

Material

SAP_ALL_MATERIAL

External Data¹

Controlling Area

SAP_ALL_COAREA

0CO_AREA

Cost Center

SAP_ALL_COSTCENTER

0COSTCENTER

Cost Element

SAP_OAG_UPC_COSTELEMENT

0COSTELMNT

Additional Notes about the model

¹External Data: The production volumes and the valuated production volumes (quantity x price) for the produced material (barrels of crude oil or m3 of gas) are typically sourced from an external system. The BW data model needs to be enhanced to include this data on project basis.

 Note
* Private dimension and other dimensions are public.

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3.12.4.2 SAP__INV_IM_GOODSMOVEMENT

Model Name: SAP__INV_IM_GOODSMOVEMENT

Connection

 Model Description: SAP Inventory Management ­ Goods Movement
 Planning Enabled: No  Currency conversion: Enabled

 Connection Type: Import Data Connection to an SAP BW System
 Connection Analytical Query: Data source name: 2CCGDSMVTQUERY
 CDS view name: C_GoodsMovementQuery

Account*

ID

Description

Formula/Mapping

Valuation

Absolute Valuation

Stock Change Amount

Input

Input

RESTRICT([Valuation],[d/SAP_INV_MOVEMENT TYPE]=("MT291","MT292"))

Output

Output

RESTRICT([Valuation],[d/SAP_INV_MOVEMENT TYPE]=("MT521","MT522"))

GRM

Gross Refining Margin

[Output] - [Input]

Pct_Input

% of Input

[GRM]/[Input]

Dimensions

Mapping

ID

Description

Dimension Name

Technical Name

Time*

Time

Posting Date

2CI8Y43VHMIRVF4RJRA ZEM218HU

Plant

SAP_ALL_PLANT

Plant

2CIPLANT

Legal Entity

SAP_ALL_COMPANY_CODE Legal Entity

2CIFICOMPANYCODE

Valuation Type

SAP_INV_VALUATIONTYPE Valuation Type

2CIFIINVVALTYPE

Material

SAP_ALL_MATERIAL

Material

2CIMATERIAL

Material Group

SAP_ALL_MATERIALGROUP Material Group

2CIMATERIAL-MATERI ALGROUP

Movement Type

SAP_INV_MOVEMENTTYPE Movement Type

2CIGDSMVTTYPE

Profit Center

SAP_ALL_PROFITCENTER Profit Center

2CQNCGI0DLB6F8TG1TWCL 2IQX6G

Additional Notes about the model

It is recommended to filter data during upload on the following Movement Types so that only data for these 4 types are uploaded:
 521 Receipt w/o Order  522 RE Receipt w/o Order  291 GI all acc. Assigmts  292 RE all acc. Assigmts

 Note
* Private dimension and other dimensions are public.

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3.12.4.3 SAP__OAG_TSW_IM_SHIPMENT

Model Name: SAP__OAG_TSW_IM_SHIPMENT

Connection

 Model Description: SAP Oil and Gas: TSW ­ Shipment (Plan VS Actual)  Planning Enabled: No

 Connection Type: Import Data Connection to OData Services
 Connection OData: Service name: (/sap/opu/odata/SAP/TSW_SHIP MENT_PLAN_VS_ACTUAL_SRV¹
 CDS name: C_PlanVsActualNomi nation¹)

TSW Account* ID Delta_Load_Discharge_Time_Hours Planned_Transit_Time_Hours Actual_Transit_Time_Hours Delta_Transit_Time_Hours Location_Specific_Scheduling_Devia tion_Hours Planned_Quantity Actual_Quantity Delta_Quantity Delta_Quantity_% Delta_Transit_Time_%
Dimensions ID Time* SAP_OAG_TSW_NOMKEY SAP_OAG_TSW_NOMITEM SAP_OAG_TSW_NOMNUMBER SAP_OAG_TSW_LOCID SAP_OAG_TSW_LOCID SAP_OAG_TSW_LOCTYPE SAP_ALL_MATERIAL SAP_ALL_MATERIALGROUP SAP_ALL_MATERIALGROUP SAP_OAG_TSW_CARRIER SAP_OAG_TSW_CARRIER

Formula/Mapping

Description

ID in data source

Delta Load Discharge Time [Hours]

NominationDeltaActualPlan

Planned Transit Time [Hours]

PlannedTransitTime

Actual Transit Time [Hours]

ActualTransitTime

Delta Transit Time [hours]

DeltaTransitTime

Location Specific Scheduling Deviation NominationLocSpcfcDvtn [Hours]

Planned Quantity (BBL)

PlannedQuantity

Actual Quantity (BBL)

ActualScheduledQuantity

Delta Quantity (BBL)

NominationDeltaQuantity

Delta Quantity (%)

[Delta_Quantity]/[Planned_Quantity]

Delta Transit Time (%)

[Delta_Transit_Time_Hours]/[Plan ned_Transit_Time_Hours]

Description Time Nomination Key Nomination Item Nomination Number Location ID Location Description Location Type Material Material Group ID Material Group Description Carrier ID Carrier Description

Mapping PlannedStartDate NominationDoc NominationDocItem NominationExtNumber LocationId LocationName LocationType ScheduledMaterial MaterialGroup MaterialGroupName NominationCarrier CarrierName

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Model Name: SAP__OAG_TSW_IM_SHIPMENT

Connection

SAP_OAG_TSW_MOT

Mode Of Transport ID

NominationModeOfTransport

SAP_OAG_TSW_MOT

Mode Of Transport Description

ModeOfTransportText

SAP_OAG_TSW_VEHICLEID

Vehicle ID

VehicleId

SAP_OAG_TSW_VEHICLEID

Vehicle Description

VehicleDescription

SAP_OAG_TSW_ROUTE

Route

ShippingRoute

SAP_OAG_TSW_UNIQUELOCID

Unique Location Indicator

IsNominationLocationUnique

SAP_OAG_TSW_LDINDICATOR

Load/Discharge Indicator

IsLoad

SAP_OAG_TSW_PLSTARTDATETIME Planned Start Date/Time

PlannedStartDateTime

SAP_OAG_TSW_LOCADATETIME

Location Actual Date/Time

NominationLocActlStrtDteTme

SAP_OAG_TSW_TTADATETIME

Transit Time Actual Date/Time

TT Actual Date Time

Additional Notes about the model

*The CDS view and OData service are on the S/4 HANA Roadmap Industry: Oil and Gas , 2018 future direction. This is the current state of planning and can be changed by SAP at any time without notice.

 Note
Private dimension and other dimensions are public.

3.13 Oil & Gas (OAG)
3.13.1 Architecture and Abstract
With SAP Analytics Cloud including the content Oil & Gas companies can leverage consistent business intelligence to drive decisions for efficiency as the drop-in oil prices have put pressure on margins.
Companies can visualize data to support optimal decision making, see the status of business and projects at a glance, and use ad-hoc query functionality for further data analysis when required. Furthermore, it will help business users to monitor and analyse business and operational performance and investigate the sources of variances. Thus, enabling business users to initiate decisive and optimal actions. The solution improves the overall insight and tracks the company's performance.
The content will help to:
 Analyse your current financial performance including detail information on the Profit & Loss situation, your Net and Gross Profit Margin, and the Earnings and Expense situation for the current year.
 Benchmark direct production costs and simulate effects of cost changes on the direct costs per barrel to meet demanding efficiency targets.
 Assessment of the product portfolio performance of downstream and chemical business units.  Comparison of the refineries economics based on the difference of the cost of the raw materials and
feedstocks consumed and the value of the finished products produced to improve. For example, decisions on matching supply/demand, refinery planning, or investments.

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 Monitoring execution performance of O&G shipments (TSW nominations) by key parameters such as carrier, mode of transport, route, vehicle, and site to improve the lead time and delivery quality in the supply chain.
 Improve decisions on the current portfolio of capital and STO project and analyse deviations of budget and costs per project including the root cause analysis.
 Monitor the headcount, recruitment, age diversity, timeoffs, and training spend.
 The stories are based on integration via data acquisition to SAP S/4HANA via CDS Query Views, to SAP SuccessFactors via Connector, to SAP ERP and SAP PPM via SAP BW Query.

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Architecture

The colored objects are documented in this chapter.
The documentation for the story SAP__OAG_GEN_FINANCE can be found in the following chapter: 5.5 Finance (FI).

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The documentation for the story SAP__OAG_PPM_PROJECTPORTFOLIO can be found in the following chapter: 5.20 Portfolio and Project Management (PPM).
The documentation for the story SAP__OAG_EHS_HS_INCIDENTS, SAP__OAG_EHS_EM_EMISSIONS and SAP__EHS_RAS_RISKASSESSMENT can be found in the following chapter: 5.4 Environment, Health and Safety Management (EHS).
The documentation for the story SAP__HR_GEN_HR and SAP__HR_GEN_RECRUITMENT can be found in the following chapter: 5.14 Human Resources (HR).
The documentation for the story SAP__VMS_GEN_WORKFORCE can be found in the following chapter:

3.13.2 Digital Boardroom
SAP_OAG_Dashboard
The Dashboard provides a company summary and performance overview to the Board for the last quarters. The Dashboard has stable elements that will be monitored continuously such as Finance or Human Resources. The health and safety topic is an example for a one-time actual topic with high industry relevance that should be analysed and solved due to current problems. Date of the meeting is 20th of October 2018, as the provided data corresponds to this date.
The following topics are covered:
 Finance: General assessment of financial performance based on P&L, investments, and account positions.  Upstream Direct Production Cost: Benchmark direct production costs per cost type per barrel of crude for
all districts, fields, wells or well completions. Simulate effects of cost changes on the direct costs per barrel to meet demanding efficiency targets.  Downstream Portfolio Performance: Assessment of the product portfolio performance of downstream and chemical business units with respect to contribution margin by markets, regions, and customer segments.  Downstream Supply Chain Performance:  Gross Refining Margin - Comparison of the refineries profits based on the difference of the cost of the
raw materials and value of the petroleum products produced to improve for example, productivity related decision and decisions on supply-demand matching or investments.  TSW Shipments - Monitoring execution performance of O&G shipments (TSW nominations) by key parameters such as carrier, mode of transport, route, vehicle, and site to improve the lead time and delivery quality in the supply chain.  Capital and STO Projects: Improve decisions on the current portfolio of capital and STO (Shutdowns, Turnarounds, and Outages) projects based on budgets, costs, commercial value, risks, and ROI including analysis of budget deviations.  Environment, Health, and Safety:  Greenhouse Gas Emissions - Monitor how well the oil platforms, fields, terminals, and refineries reach the companies greenhouse gas emission reduction target.  Risk Assessment - This story enables customers to analyse and compare the risk situation of their operational units (in this example plants), it shows how well this risk situation is managed by the implementation of mitigating risk controls.  Human Resources:  Human Resources - Overview on the most important of HR topics.  Recruitment - Overview on the recruitment

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 Contingent Worker, Statement of Work and Supplier Mgmt.

3.13.3 Stories

Name: SAP__OAG_GEN_OVERVIEW
SAP Oil & Gas: General - Overview Purpose: The overview page provides the most relevant Key Performance Indicators (KPI) from Line(s) of Business such as Upstream, Downstream and Chemicals, Human Resource, Health and Safety, Product Management, and Finance. Page: Overview

KPI´s

Gross Revenue SAP__FI_GEN_IM_GENERALLEDGER*

Contribution Margin SAP__FI_GEN_IM_GENERALLEDGER*

Injuries SAP__EHS_HS_IM_INCIDENTS*

Charts

Title

Models Used

Navigate to Agenda Item

Financial Overview for the Current Year SAP__FI_GEN_IM_GENERALLEDGER* Financial

EBIT, Contribution Margin, and ROCE YTD monthly values.

Downstream Sales Revenue by Busi ness Unit

SAP__FI_GEN_IM_GENERALLEDGER* Downstream Portfolio Performance

YTD plan / actual comparison of the sales revenues of the Downstream Refineries and Chemical Business Units.

Upstream Production Overview

SAP__OAG_UPC_IM_UPSSTRPROD COSTS

Upstream Direct Production Costs

YTD plan / actual production of barrel of crude in BBL.

Top 5 Projects by Budget

SAP__PPM_IM_PORTFOLIO *

Capital and STO Projects

Top 5 project of current portfolio by total budget and actual costs in million USD.

European Gross Refining Margin Bench SAP__INV_IM_GOODSMOVEMENT mark

SCP - Gross Refining Margin

Comparison of the European refineries economics by YTD margin in million USD.

Greenhouse Gas Emissions in CO2e

SAP__EHS_EM_IM_EMISSIONS*

Greenhouse Gas Emissions

Company's total greenhouse gas emissions in CO2e of the last 10 years including the total target.

Injuries

SAP__EHS_HS_IM_INCIDENTS*

Incidents

Company's total monthly number of incidents were people were injured of current year.

Shipment Performance in Primary Dis SAP__OAG_ DSC_TSWSHIPMENT tribution

SCP - TSW Shipments

Company's Shipment performance: Delta Transit Time (%), Delta Quantity (%) and Avg. Location Spec Deviation.

* The documentation for the model SAP Finance: General- Financial Statement with Plan/Actual (SAP__FI_GEN_IM_GENERALLEDGER) can be found in the following chapter

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The documentation for the model SAP Portfolio and Project Management: Project Portfolio (SAP__PPM_IM_PORTFOLIO) can be found in the following chapter:
 The documentation for the model SAP Environ. Health & Safety: Health & Safety ­ Incidents (SAP__EHS_HS_IM_INCIDENTS) can be found in the following chapter: SAP Environ. Health & Safety: Health & Safety - Incidents (SAP__EHS_HS_IM_INCIDENTS)
 The documentation for the model SAP Human Resources: General ­ Headcount (SAP__HR_GEN_IM_HEADCOUNT) can be found in the following chapter: SAP Human Resources: General - Headcount (SAP__HR_GEN_IM_HEADCOUNT)
Name: SAP__OAG_GEN_FINANCE
SAP Oil & Gas: Finance - General
General assessment of financial performance ­ based on P&L, investments, and account positions.
This is a copy of the story SAP__FI_GEN_FINANCE (SAP Finance: Financial Boardroom). For a description of the story and the models used please check the following chapter: Finance (FI).

Name: SAP__OAG_UPC_UPSTREAMPRODCOSTS

SAP Oil & Gas: Upstream Production Costs ­ Direct Costs

Benchmark direct production costs per cost type per barrel of crude for all operating units, districts, fields, or wells being represented as cost centers in a hierarchy. Simulate effects of cost changes on the direct costs per barrel to meet demand ing efficiency targets. Direct costs instead of indirect costs are used in the simulation as they can easier be influenced.

Page: Details

Charts

Title

Models Used

Navigate to

Upstream Direct Production Cost Benchmark

SAP__OAG_UPC_IM_UPSTRPROD COSTS

This chart compares direct production costs per barrel of crude oil of various wells and platforms and showing a costs threshold. This is calculated as a percentage of the monthly average oil price. The percentage depends the production sys tem, here well and platform. The threshold is created to indicate potential profitability issues.

Direct Material Costs per Barrel by Cost SAP__OAG_UPC_IM_UPSTRPROD

Center

COSTS

This chart shows all cost elements related to materials per barrel of crude for the selected cost center/production unit for the time period.

Direct Energy Costs per Barrel by Cost SAP__OAG_UPC_IM_UPSTRPROD

Center

COSTS

This chart shows all costs elements related to energy costs per barrel of crude for the selected cost center/production unit for the time period.

Direct Labour Costs per Barrel by Cost SAP__OAG_UPC_IM_UPSTRPROD

Center

COSTS

This chart shows all cost elements related to labour per barrel of crude for the selected cost center/production unit for the time period.

Page: Context

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Name: SAP__OAG_UPC_UPSTREAMPRODCOSTS

In this page, simulation of costs can be performed. A copy of the actual costs version is saved as a planned version and simulation of costs can be done in this planned version of costs.

The upper chart reflects the Simulated costs based on data manipulated in the lower table.

Charts

Title

Models Used

Navigate to

Simulation of Costs

SAP__OAG_UPC_IM_UPSTRPROD COSTS

Chart shows the result of the simulation. The simulated direct total cost per barrel of crude oil are shown and compared to the costs threshold.

Input for Simulation of Total Costs

SAP__OAG_UPC_IM_UPSTRPROD COSTS

Simulate the effects of cost increases or decreases on the total direct production's costs per barrel of crude oil. Compare cost to the cost threshold. Including the simulation on how changing market price for crude oil would influence the thresh old.

Name: SAP__OAG_PRT_PORTFOLIOPERF

SAP Oil & Gas: Downstream Portfolio Performance ­ Contribution Margin

Assessment of the product portfolio performance of downstream and chemical business units with respect to contribution margin by markets, regions, and customer segments.

Page: Details

Charts

Title

Models Used

Navigate to

Contribution Margin by Downstream and Chemicals

SAP__FI_IM_GENERALLEDGER*

Explorer

Contribution Margin by Segment for Selected Period

SAP__FI_IM_GENERALLEDGER*

Explorer

Contribution Margin

SAP__FI_IM_GENERALLEDGER*

Explorer

Contribution Margin by Segment

SAP__FI_IM_GENERALLEDGER*

Explorer

Page: Context

Charts

Title

Models Used

Navigate to

Contribution Margin by Segment and Product Group

SAP__FI_IM_GENERALLEDGER*

Explorer

Contribution Margin by Customer Group

SAP__FI_IM_GENERALLEDGER*

Explorer

Sales Deductions by Customer Group SAP__FI_IM_GENERALLEDGER*

Explorer

Sales Revenue, Sales Deductions and SAP__FI_IM_GENERALLEDGER* Contribution Margin by Material Group

Explorer

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The documentation for the model SAP Finance: General- Financial Statement with Plan/Actual (SAP__FI_GEN_IM_GENERALLEDGER) can be found in the following chapter: 5.5.4.1

Name: SAP__OAG_ DSC_GROSSREFMARGIN

SAP Oil & Gas: Downstream Supply Chain Performance - Gross Refining Margin

Purpose: Comparison of the refineries profits based on the difference of the cost of the raw materials and value of the pe troleum products produced to improve. For example, productivity related decision, decisions on supply-demand matching or investments. This scenario offers an internal benchmark to compare the performance of different refineries. The gross refining margin is calculated based on the valued consumption of crude oil and other feedstocks and the valued production outputs.

Page: Details

Charts

Title

Models Used

Navigate to

Gross Refining Margin by Plant

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows the total gross refining margin of the different refineries in Mio US $.

% Gross Refining Margin by Plant

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows the total gross refining margin of the different refineries in % of input.

Output by Material Group

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows for the selected plants the produced outputs by material group as % of total output.

Gross Refining Margin Trend

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows for the selected plants the monthly gross refining margins in Mio US $.

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Name: SAP__OAG_ DSC_GROSSREFMARGIN

% Gross Refining Margin Trend

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows for the selected plants the monthly gross refining margins in % of Input.

Page: Context

Output by Plant

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows the valuated output by plant YTD for the selected refineries, material groups, and output unit.

Output by Material Group

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows the valuated output by material group YTD for the selected refineries, material groups, and output unit.

Output by Material

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows the valuated output by material YTD for the selected refineries, material groups, and output unit.

Output by Plant and Material Group

SAP__INV_IM_GOODSMOVEMENT

Open in Explorer

This chart shows the valuated output by material group and plant YTD for the selected refineries, material groups, and out put unit.

Story Name: SAP__OAG_ DSC_TSWSHIPMENT

SAP Oil & Gas: Downstream Supply Chain Performance - TSW Shipment

Purpose: Monitoring execution performance of O&G shipments (TSW nominations) by key parameters such as carrier, mode of transport, route, vehicle and site to improve the lead time and delivery quality in the supply chain.

Page: Supply Chain Performance

Charts

Title

Models Used

Navigate to

Planned Quantity per Material Group SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Planned Quantity per Material Group in %.

Delta Transit Time

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Delta Transit Time in %.

Avg. Scheduling Deviation

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Avg. Scheduling Deviation in hours.

Delta Quantity

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Delta Quantity in %.

Delta Quantity, Delta Transit Time and SAP__OAG_TSW_IM_SHIPMENT Avg. Scheduling Deviation

Open in Explorer

This chart shows for each Material Group the Delta Quantity, Delta Transit Time, and Avg. Scheduling Deviation in %.

Planned, Actual and Delta Transit Time SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Planned, Actual, and Delta Transit Time for each Material Group in hours and %.

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Story Name: SAP__OAG_ DSC_TSWSHIPMENT

Scheduling Deviation and Avg. Schedul SAP__OAG_TSW_IM_SHIPMENT ing Dev.

Open in Explorer

This chart shows the Scheduling Deviation and Avg. Scheduling Dev. for each Material Group in hours.

Planned, Actual and Delta Quantity (%) SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Planned, Actual, and Delta Quantity for each Material Group (%) in BBL and %.

Page: Carrier Performance

Charts

Title

Models Used

Navigate to

Planned and Delta Transit Time per Car SAP__OAG_TSW_IM_SHIPMENT rier

Open in Explorer

This chart shows the Planned and Delta Transit Time per Carrier in hours and %.

Delta Transit Time per Carrier and Mode of Transport

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

Delta Transit Time per Carrier and Mode of Transport in %

Delta Transit Time per Carrier, Mode Of SAP__OAG_TSW_IM_SHIPMENT Transport and Vehicle

Open in Explorer

This chart shows the Delta Transit Time per Carrier, Mode Of Transport and Vehicle in %.

Page: Mode of Transport Performance

Charts

Title

Models Used

Navigate to

Delta TT and Average Scheduling Devia SAP__OAG_TSW_IM_SHIPMENT tion

Open in Explorer

This chart shows the Delta TT and Average Scheduling Deviation in %.

Average Scheduling Deviation per Mode SAP__OAG_TSW_IM_SHIPMENT Of Transport and Time

Open in Explorer

This chart shows the Average Scheduling Deviation per Mode Of Transport and Time in hours.

Delta Transit Time per Mode of Trans port and Route

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Delta Transit Time per Mode of Transport and Route in %.

Page: Location Performance

Charts

Title

Models Used

Navigate to

Delta Quantity and Average Scheduling SAP__OAG_TSW_IM_SHIPMENT Deviation per Location

Open in Explorer

This chart shows the Delta Quantity and Average Scheduling Deviation per Location in BBL and hours.

Avg. Scheduling Deviation

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Avg. Scheduling Deviation for each Material Group in hours of Load (L) and Dis charge (D).

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Story Name: SAP__OAG_ DSC_TSWSHIPMENT

Delta Quantity per Material Group

SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Delta Quantity per Material Group in BLL for Load (L) and Discharge (D).

Delta Quantity per Location and Time SAP__OAG_TSW_IM_SHIPMENT

Open in Explorer

This chart shows the Delta Quantity per Location and Time in BBL.

Calculations

Calculation ­ name

Type

Data Source name

Counter

Aggregation

SAP__OAG_TSW_IM_SHIPMENT

Properties

Operation: Count

Aggregation Dimensions: Nomination Item, Nomination Key

Measure: Location Specific Scheduling Deviation (Hours)

Avg. Location Spec. Deviation
Formula

calculated

SAP__OAG_TSW_IM_SHIPMENT

[SAP__OAG_TSW_IM_SHIPMENT: Location_Specific_Scheduling_Deviation_Hours]/[#Counter]

Name: SAP__OAG_PPM_PROJECTPORTFOLIO SAP Oil & Gas: Portfolio and Project Management ­ Project Portfolio This is a copy of the story SAP__PPM_PROJECTPORTFOLIO (SAP Portfolio and Project Management: Project Portfolio). For a description of the story and the models used please check the following chapter: Portfolio and Project Management (PPM).

Name: SAP__OAG_EHS_HS_INCIDENTS SAP Oil & Gas: Environment, Health and Safety - Incidents
This is a copy of the story SAP__EHS_HS_INCIDENTS (SAP Environ. Health & Safety: Health & Safety - Incidents). For a description of the story and the models used please check the following chapter: EHS: Stories. Name: SAP__OAG_EHS_EM_EMISSIONS* SAP Oil & Gas: Environment, Health and Safety ­ Greenhouse Gas Emissions
This is a copy of the story SAP__EHS_EM_EMISSIONS (SAP Environment, Health and Safety: Environment Management Greenhous Gas Emissions) For a description of the story and the models used please check the following chapter: EHS: Stories.

Story Name: SAP__EHS_RAS_RISKASSESSMENT
SAP Environment, Health and Safety ­ Risk Assessment
This is a reused story. For a description of the story and the models used please check the following chapter 5.4 Environ ment, Health and Safety Management (EHS).

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Name: SAP__HR_GEN_HR SAP Oil & Gas: Human Resources - General This is a copy of the story SAP__HR_GEN_HR (SAP Human Resources: General) For a description of the story and the models used please check the following chapter: 5.6 Human Resources (HR).
Story Name: SAP__VMS_GEN_WORKFORCE SAP Vendor Management System: General - Workforce This is a reused story. The documentation for the story SAP__VMS_GEN_WORKFORCE can be found in the following chap ter: 5.28 Vendor Management (VMS)

3.13.4 Models 3.13.4.1 SAP__OAG_UPC_IM_UPSTRPRODCOSTS

Model Name: SAP__OAG_UPC_IM_UPSTRPRODCOSTS

Connection

 Note
Model Description: SAP Oil & Gas: Upstream Production Costs - Direct Costs Planning Enabled: Yes Currency conversion: No

 Connection type: Import Data Con nection to an SAP BW System
 Connection Analytical Query: Please create a query based on the composite provider /IMO/ V_COOM01 using the below men tioned measure and dimensions

Accounts ID Costs Production Quantity Valuated Quantity Reference Price Costs Threshold Material Costs
Energy Costs
Labour Costs

Description Costs Production Quantity Valuated Quantity Reference Price Costs Threshold Material Costs
Energy Costs
Labour Costs

Formula/Mapping
0AMOUNT
External Data **
External Data **
External Data **
External Data **
RESTRICT([Costs],[d/ SAP_OAG_UPC_COSTELE MENT]=("500000"))
RESTRICT([Costs],[d/ SAP_OAG_UPC_COSTELE MENT]=("611000"))
RESTRICT([Costs],[d/ SAP_OAG_UPC_COSTELE MENT]=("943100","943200"))

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Model Name: SAP__OAG_UPC_IM_UPSTRPRODCOSTS

Direct Total Costs

Direct Total Costs per Barrel

Direct Material Costs

Direct Material Costs per Barrel

Direct Energy Costs

Direct Energy Costs per Barrel

Direct Labour Costs

Direct Labour Costs per Barrel

Benchmark Costs Threshold

Benchmark Costs Threshold

Dimensions

ID

Description

Time

Time

Material

SAP_ALL_MATERIAL

Controlling Area

SAP_ALL_COAREA

Cost Center

SAP_ALL_COSTCENTER

Cost Element

SAP_OAG_UPC_COSTELEMENT

Dimension that only exists in SAP Ana lytics Cloud model and not in data source

Connection [Costs]/[ProductionQuantity] [Material Costs]/[ProductionQuantity] [Energy Costs]/[ProductionQuantity] [Labour Costs]/[ProductionQuantity] Details([Reference Price]*[Costs Threshold])
Mapping 0FISCPER 0MATERIAL** 0CO_AREA 0COSTCENTER 0COSTELMNT Assign to #

 Note
** External Data: The production volumes and the valuated production volumes (quantity x price) for the produced material (barrels of crude oil or m3 of gas) are typically sourced from an external system. The BW data model needs to be enhanced to include this data on project basis.

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3.13.4.2 SAP__INV_IM_GOODSMOVEMENT

Model Name: SAP__INV_IM_GOODSMOVEMENT
 Model Description: SAP Inventory Management - Goods Movement  Planning Enabled: No  Currency Conversion: Enabled

Accounts ID Valuation Input
Output
GRM Pct_Input Dimensions ID Time
INV Account Goods Movements
Plant Legal Entity Valuation Type Material Material Group
Movement Type

Description Absolute Valuation Input
Output
Gross Refining Margin % of Input
Description Time
SAP_INV_ACCOUNT_GOODSMOVE MENT SAP_ALL_PLANT SAP_ALL_COMPANY_CODE SAP_INV_VALUATIONTYPE SAP_ALL_MATERIAL SAP_ALL_MATERIALGROUP
SAP_INV_MOVEMENTTYPE

Connection
Connection Type: Import Data Connec tion to an SAP BW System  Connection Analytical Query: Data
source name: 2CCGDSMVTQUERY  CDS View Name: C_GoodsMove
mentQuery It is recommended to filter data during upload on the following Movement Types so that only data for these 4 types are uploaded:  521 Receipt w/o Order  522 RE Receipt w/o Order  291 GI all acc. Assigmts  292 RE all acc. Assigmts
Formula/Mapping Stock Change Amount RESTRICT([Valuation],[d/ SAP_INV_MOVEMENT TYPE]=("MT291","MT292")) RESTRICT([Valuation],[d/ SAP_INV_MOVEMENT TYPE]=("MT521","MT522")) [Output] - [Input] [GRM]/[Input]
Mapping (Technical Names) Posting Date (2CI8Y43VHMIRVF4RJRAZEM218HU) Stock Change Amount
Plant (2CIPLANT) Legal Entity (2CIFICOMPANYCODE) Valuation Type (2CIFIINVVALTYPE) Material (2CIMATERIAL) Material Group (2CIMATERIAL-MATERI ALGROUP) Movement Type (2CIGDSMVTTYPE)

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Model Name: SAP__INV_IM_GOODSMOVEMENT

Profit Center

SAP_ALL_PROFITCENTER

Dimension that only exists in SAP Ana lytics Cloud model and not in data source

Connection Profit Center (2CQNCGI0DLB6F8TG1TWCL2IQX6G)
Assign to #

3.13.4.3 SAP__OAG_TSW_IM_SHIPMENT

Model Name: SAP__OAG_TSW_IM_SHIPMENT

Connection

 Model Description: SAP Oil and Gas: TSW ­ Shipment (Plan VS Actual)  Planning Enabled: No  Currency Conversion: No

 Connection type: Import Data Con nection to OData Services
 Connection OData: Service name: (/sap/opu/odata/SAP/TSW_SHIP MENT_PLAN_VS_ACTUAL_SRV*
 CDS name: C_PlanVsActualNomi nation*)

Accounts ID Delta_Load_Discharge_Time_Hours

Description Delta Load Discharge Time [Hours]

Formula/Mapping (Technical Names) Scheduling Date Delta [Hours]* (NominationDeltaActualPlan*)

Planned_Transit_Time_Hours

Planned Transit Time [Hours]

Planned Transit Time [Hours]* (PlannedTransitTime*)

Actual_Transit_Time_Hours

Actual Transit Time [Hours]

Actual Transit Time [Hours]* (ActualTransitTime*)

Delta_Transit_Time_Hours

Delta Transit Time [hours]

Delta Transit Time [Hrs]* (DeltaTransitTime*)

Location_Specific_Scheduling_Devia tion_Hours

Location Specific Scheduling Deviation Location Specific Scheduling Devia

[Hours]

tion*

(NominationLocSpcfcDvtn*)

Planned_Quantity

Planned Quantity (BBL)

Planned Quantity* (PlannedQuantity*)

Actual_Quantity

Actual Quantity (BBL)

Actual Quantity* (ActualScheduledQuantity*)

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Model Name: SAP__OAG_TSW_IM_SHIPMENT

Delta_Quantity

Delta Quantity (BBL)

Delta_Quantity_% Delta_Transit_Time_%
Dimensions ID TSW_ACCOUNT SAP_OAG_TSW_NOMKEY SAP_OAG_TSW_NOMITEM
SAP_OAG_TSW_NOMNUMBER
SAP_OAG_TSW_LOCID

Delta Quantity (%) Delta Transit Time (%)
Description TSW Account Nomination Key Nomination Item
Nomination Number
Location Id

SAP_OAG_TSW_LOCTYPE SAP_ALL_MATERIAL SAP_ALL_MATERIALGROUP

Location Type Material Material Group

SAP_OAG_TSW_CARRIER

Carrier

SAP_OAG_TSW_MOT

Mode Of Transport

SAP_OAG_TSW_VEHICLEID

Vehicle Id

SAP_OAG_TSW_ROUTE SAP_OAG_TSW_UNIQUELOCID
SAP_OAG_TSW_LDINDICATOR

Route Unique Location Indicator
Load/Discharge Indicator

Content Package User Guide Industries

Connection
Delta Quantity* (NominationDeltaQuantity*) [Delta_Quantity]/[Planned_Quantity] [Delta_Transit_Time_Hours]/[Plan ned_Transit_Time_Hours]
Mapping (Technical Names) Planned Start Date* ( Nomination Key* (NominationDoc*) Nomination Item* (NominationDocI tem*) Nomination Number* (NominationExt Number*)
Location Id* (LocationId*) Description: Location Name* (Location Name*) Location Type* (LocationType*) Material* (ScheduledMaterial*)
Material Group* (MaterialGroup*) Description: Material Group Desc* (Ma terialGroupName*)
Carrier* (NominationCarrier*) Description: Carrier Name* (Carrier Name*)
Mode Of Transport* (NominationMo deOfTransport*) Description: Mode Of Transport Text* (ModeOfTransportText*)
Vehicle Id* (VehicleId*) Description: Vehicle Name* (VehicleDe scription*) Route* (ShippingRoute*) Unique Location Indicator* (IsNomina tionLocationUnique*) Load/Discharge Indicator* (IsLoad*)

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Model Name: SAP__OAG_TSW_IM_SHIPMENT SAP_OAG_TSW_PLSTARTDATETIME Planned Start Date/Time

SAP_OAG_TSW_LOCADATETIME

Location Actual Date/Time

SAP_OAG_TSW_TTADATETIME

Transit Time Actual Date/Time

Dimension that only exists in SAP Ana lytics Cloud model and not in data source

Connection
Planned Start Date Time* (Planned StartDateTime*)
Location Actual Date Time* (Nomina tionLocActlStrtDteTme*)
ActualStartDateTime* (TT Actual Date Time*)
Assign to #

 Note
* The CDS view and OData service are on the S/4 HANA Roadmap Industry Oil and Gas, 2018 future direction. This is the current state of planning and can be changed by SAP at any time without notice.

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3.14 Professional Services for SAP S/4HANA Cloud (SAP BEST PRACTICES)
3.14.1 Architecture

SAP S/4HANA Cloud Professional Services content with SAP Analytics Cloud (28W) is using live connections. Before importing the content, please read the documentation carefully and set up the required connections.
Find all details and documentation about this scope item in SAP Best Practices Explorer: SAP Best Practices for Analytics ­ Professional Services Content.

3.15 Public Sector (PS)
3.15.1 Architecture and Abstract
The Public Sector Boardroom is an overview for management of public sector organizations in all segments. The Financial Perspective provides the user with the ability to navigate across the Funds Management to understand budget definition and budget consumption for the year and compare year over year.

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In addition, revenue, expenditure, and receivables/payables can be analysed. The Program Perspective includes a sampling of constituent service and program execution analyses and the People Perspective an understanding of an organization's workforce.
The data for the models is generated primarily from existing SAP BW Queries that are public sector specific. The People perspective is taken from a generic story created for all the industries and based on SuccessFactors data sources.

3.15.2 Dashboard
The dashboard which is used to obtain insights is: SAP_PS_Dashboard.

3.15.3 Stories
 SAP Public Sector: General - Overview (SAP__PS_GEN_OVERVIEW)  SAP Public Sector: Finance (SAP__PS_GEN_FINANCE)  SAP Public Sector: Program & Constituent (SAP__PS_GEN_PROGRAM)

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3.15.4 Models
3.15.4.1 General - Commitments/Actuals and Budget (SAP__PS_BCS_IM_COMMIT_ACT_BUD)

Model Name: SAP__PS_BCS_IM_COMMIT_ACT_BUD
 Model Description: SAP Public Sector: General - Commitments/Actuals and Budget  Planning Enabled: No

Commitments/Actuals and Budget Account*

ID

Description

0C02_RK001

Current budget

0C02_RK002

Original budget

0C02_RK003

Returns

0C02_RK004

Supplements

0C02_RK005

Transfer - sender

0C02_RK006

Transfer - receiver

0C02_RK007

Budget for assigned funds

0C02_RK008

Assigned amount (assigned budget)

0C02_CK001

Available budget

0C02_RK009

Commitment and actual

Dimensions ID SAP_PS_BCS_FUND SAP_PS_BCS_FUNDSCENTER
SAP_PS_BCS_Grant

Description Fund Funds Center
Grant

Connection
 Connection Types: Im port Data Connection > SAP BW
 Connection Queries: 0PSM_C02_Q0002, 0PSM_C02_Q0003
Formula/Mapping 0C02_RK001 (Query 0PSM_C02_Q0002) 0C02_RK002 (Query 0PSM_C02_Q0002) 0C02_RK003 (Query 0PSM_C02_Q0002) 0C02_RK004 (Query 0PSM_C02_Q0002) 0C02_RK005 (Query 0PSM_C02_Q0002) 0C02_RK006 (Query 0PSM_C02_Q0002) 0C02_RK007 (Query 0PSM_C02_Q0003) 0C02_RK008 (Query 0PSM_C02_Q0003) 0C02_CK001 (Query 0PSM_C02_Q0003)
0C02_RK009 (Query 0PSM_C02_Q0003)
Mapping 0FUND (Fund) 0FUNDS_CTR (Funds Cen ter) 0GRANT_NBR (Grant)

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Model Name: SAP__PS_BCS_IM_COMMIT_ACT_BUD SAP_PS_BCS_COMMITMENTITEM SAP_PS_BCS_FUNCTIONALAREA SAP_PS_BCS_FUNDEDPROGRAM

Commitment Item Functional Area Funded Program

 Note
* Private dimension and other dimensions are public.

Connection
0CMMT_ITEM (Commitment Item)
0FUNC_AREA (Functional Area)
0PU_MEASURE (Funded Pro gram)

3.15.4.2 CRM ­ Grantor Lifecycle (SAP__PS_CRM_IM_GRANTOR_LC)

Model Name: SAP__PS_CRM_IM_GRANTOR_LC
 Model Description: SAP Public Sector: CRM ­ Grantor Lifecycle  Planning Enabled: No

Account* ID 0GTR_TOTREQ 0GTR_TOTELG 0GTR_TOTAGR 0FC_OI 0FC_CI Dimensions ID SAP_PS_FM_PROGRAMTYPE SAP_PS_BCS_FUNDEDPROGRAM

Description Total Requested Amount Total Eligible Amount Total Authorized Amount Open Items Cleared Items
Description Funded Program Type Funded Program

 Note
* Private dimension and other dimensions are public.

Connection  Connection Types: Import Data
Connection > SAP BW  Connection Query:
0GTR_MC01_Q0001
Formula/Mapping 0GTR_TOTREQ 0GTR_TOTELG 0GTR_TOTAGR 0FC_OI 0FC_CI
Mapping 0GTR_GPMELM__0GTR_PRGTYP 0GTR_GPMELM__0GTR_GPM_ID

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3.15.4.3 CRM ­ Case Management (SAP__PS_CRM_IM_CASES)

Model Name: SAP__PS_CRM_IM_CASES

Connection

 Model Description: SAP Public Sector: CRM ­ Case Management  Planning Enabled: No

 Connection Types: Import Data Connection > SAP BW
 Connection Query: 0CRM_CASE_Q0102

Account* ID NUM Dimensions ID SAP_PS_CRM_CASETYPE SAP_PS_CRM_CASEPRIO SAP_PS_CRM_CASESTATUS Additional Notes about the model

Description
Description Case Type Case Priority Case Status

Formula/Mapping See comment below¹
Mapping 0CSM_TYPE 0CSM_PRIO 0CRM_CSKEY__0CSM_STAT

¹There is no corresponding measure in the data source. In order to fill the NUM (Number) account ID follow this approach:
1. After finishing all the mappings during the Data Integration step, duplicate one of the existing columns: open the menu for this column and choose Duplicate Column (Remark: Ideally, choose a column which has only few distinct values).
2. Now replace all values of this column by value "1": Open the Details panel for this column and find the Record Sum mary. Click on a value listed there and replace the value by the numeric value 1, continue with all other values.
3. For this new duplicated column select the mapping Measure and choose the account member with ID NUM.

 Note
* Private dimension and other dimensions are public.

3.15.4.4 General ­ Constituent Survey (SAP__PS_GEN_IM_SURVEY)

Model Name: SAP__PS_GEN_IM_SURVEY

 Model Description: SAP Public Sector: General ­ Constituent Survey  Planning Enabled: No

Account* ID

Description

Connection Connection Type: Local file
Formula/Mapping

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Model Name: SAP__PS_GEN_IM_SURVEY

Connection

PRIO

Priority

Suitable column in local file

EVAL

Evaluation

Suitable column in local file

Dimensions

ID

Description

Mapping

Time*

Time

Suitable column in local file

SAP_PS_GEN_SURVEY

Survey Questions

Suitable column in local file

Additional Notes about the model

There is no standard SAP data source to fill this model but you can upload the data from a local file.

 Note
* Private dimension and other dimensions are public.

3.15.4.5 General ­ Social Media (SAP__PS_GEN_IM_SOCIAL_MEDIA)

Model Name: SAP__PS_GEN_IM_SOCIAL_MEDIA

Connection

 Model Description: SAP Public Sector: General ­ Social Media  Planning Enabled: No

Connection Type: Local file

Account*

ID

Description

Formula/Mapping

PAR

Participation

Suitable column in local file

Dimensions

ID

Description

Mapping

Time*

Time

Suitable column in local file

SAP_PS_GEN_SOCIAL_MEDIA_TYPE Social Media Type

Suitable column in local file

Additional Notes about the model

There is no standard SAP data source to fill this model but you can upload the data from a local file.

 Note
* Private dimension and other dimensions are public.

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3.16 Public Services - Higher Education and Research
3.16.1 Architecture and Abstract
The Boardroom for Higher Education and Research is aiming at providing an overview for universities. It gives them insight into their financial situation as well as their students demographic and enrolment distribution. Architecture

3.16.2 Dashboard
The model which can be used ot obtain the insight is: SAP_PS_HER_Dashboard
3.16.3 Stories
 SAP Public Services: HE&R - Overview (SAP__PS_HER_OVERVIEW)  SAP Public Services: HE&R - Demographics (SAP__PS_HER_DEMOGRAPHICS)
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Calculated measures in story Average Age Avg SAT Avg SAT Math Avg SAT Writing

Average age aggregated on students Average SAT Score aggregated on students Average SAT Math Score aggregated on students Average SAT Writing Score aggregated on students

 SAP Public Services: HE&R - Enrolment (SAP__PS_HER_ENROLMENT)

Calculated Measures in Story Enrolled Students Waitlisted Students Associate Degree Students Bachelor Degree Students Master Degree Students Doctoral Degree Students College Availability Capacity Utilization A B C D F Total # of Grades % of Top Grades % of Bottom Grades Units Attempted Units Passed

Restricted measure on student headcount over enrolment dimension
Restricted measure on student headcount over waitlist di mension
Restricted measure on student headcount for Associate of Arts and Science students
Restricted measure on student headcount for Bachelor of Arts and Science students
Restricted measure on student headcount for Master of Arts and Science students
Restricted measure on student headcount for PhD stu dents
[SAP__PS_HER_IM_STUDENTACTIVITY:COL_CAP] [#Enrolled Students]
[#Enrolled Students] / [SAP__PS_HER_IM_STUDENTAC TIVITY:COL_CAP]
Restricted measure on student headcount for students with grade `A'
Restricted measure on student headcount for students with grade `B'
Restricted measure on student headcount for students with grade `C'
Restricted measure on student headcount for students with grade `D'
Restricted measure on student headcount for students with grade `F'
[#A] + [#B] + [#C] + [#D] + [#F]
[#A] / [#Total # of Grades]
[#F] / [#Total # of Grades]
Restricted Measure on Student Headcount with grades ABCDF
Restricted Measure on Student Headcount with grades ABC

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Calculated Measures in Story Attempted to Passed Ratio

: [#Units Attempted] / [#Units Passed]

 SAP Public Services: HE&R - Finance (SAP__PS_HER_FINANCE)  SAP Public Services: HE&R - Grants (SAP__PS_HER_GRANTS)

Calculated measures in story Released Budget Supplement
Transfer
Return
Original Budget
Current Budget
Available Budget  % Released Commitments and Actuals % Available % Commitment and Actuals Commitments Actuals

Restricted measure on Amount with GM value type `R1'
Restricted measure on Amount with Business Transaction -> Supplement
Restricted measure on Amount with Business Transaction -> Receive
Restricted measure on Amount with Business Transaction -> Return
Restricted measure on Amount with Business Transaction -> Enter
[#Original Budget] + [#Supplement] + [#Transfer] + [#Return]
[#Current Budget] - [#Commitments and Actuals]
[#Released Budget] / [#Original Budget]
[#Commitments] + [#Actuals]
[#Available Budget] / [#Current Budget]
[#Commitments and Actuals] / [#Current Budget]
Restricted Measure on amount for 50, 51, and 52
Restricted Measure on amount for 61, 64, and 66

 SAP Public Services: HE&R ­ Grants Lifecycle (SAP__PS_HER_GRANTS_LIFECYCLE)

Calculated measures in story # of Grants Proposal Status # of Grants Application Status
# of Grants Award Status # of Grants Closeout Status # of Grants Closed Status Proposal /Count
Application/Proposal
Award/Application

Number of grants with the Grant life cycle status: Proposal
Number of grants with the Grant life cycle status: Applica tion
Number of grants with the Grant life cycle status: Award
Number of grants with the Grant life cycle status: Closeout
Number of grants with the Grant life cycle status: Closed
[## of Grants Proposal Status] / [SAP__PS_HER_IM_GRANTSLIFECYCLE:Count]
[## of Grants Application Status] / [## of Grants Pro posal Status]
[## of Grants Award Status] / [## of Grants Application Status]

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Calculated measures in story Award/Proposal Closeout/Award Closeout/Proposal Closed/Closeout Closed/Proposal Rejected/Application Completed/Award Closed with Assets/Closeout

[## of Grants Award Status] / [## of Grants Proposal Status]
[## of Grants Closeout Status] / [## of Grants Award Status]
[## of Grants Closeout Status] / [## of Grants Proposal Status]
[## of Grants Closed Status] / [## of Grants Closeout Status]
[## of Grants Closed Status] / [## of Grants Proposal Status]
[## of Grants Appl Rejected] / [## of Grants Application Status]
[## of Grants Award Completed] / [## of Grants Award Status]
[## of Grants Closeout Closed] / [## of Grants Closeout Status]

3.16.4 Models
3.16.4.1 Funds (SAP__PS_HER_IM_FUNDS)
This model is a copy of SAP__PS_BCS_IM_COMMIT_ACT_BUD documented in chapter: SAP Public Sector: General - Commitments/Actuals and Budget (SAP__PS_BCS_IM_COMMIT_ACT_BUD)

3.16.4.2 Grants (SAP__PS_HER_IM_GRANTS)

Model Name: SAP__PS_HER_IM_GRANTS
 Model Description: SAP Public Services: HE&R ­ Grants  Planning Enabled: No

Grants Account* ID AMT Dimensions

Description Amount

Connection
 Import Data Connection to an SAP BW System
 Connection Query: Slight modifica tion of Commitment/Actual Detail (0GM_C01_Q01)¹
Formula/Mapping Amount

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Model Name: SAP__PS_HER_IM_GRANTS

ID

Description

Time*

Time

SAP_PS_HER_GRANT

Grant

SAP_PS_HER_SPONSORED_PRO GRAM

Sponsored Program

SAP_PS_HER_SPONSORED_CLASS Sponsored Class

SAP_PS_HER_FUND

Fund

SAP_PS_HER_BUDGET_RLS_STATUS Budget Release Status

SAP_PS_HER_BUDGET_PHASE

Budget phase

SAP_PS_HER_BUDGET_VALIDITY_NR Budget Validity Number

SAP_PS_HER_CURRENCY_TYPE

Currency Type

SAP_ALL_FISCALYEAR

Fiscal Year

SAP_ALL_COMPANY_CODE

Legal Entity

SAP_PS_HER_FM_AREA

FM area

SAP_PS_HER_BUDGET_VER

Budget version

SAP_PS_HER_GM_VALUE_TYPE

GM Value Type

SAP_PS_HER_BUSINESSTRANSAC TION

Business Transaction

SAP_PS_HER_GM_STATISTICALINDIC GM Statistical Indicator

Additional Notes about the model

Connection Mapping 0FISCPER² 0GRANT_NBR 0GM_SPNPG
0GM_SPNCL 0FUND 0GM_BDRLS 0GM_BDPH 0GM_BDVLN 0CURTYPE 0FISCALYEAR 0COMP_CODE 0FM_AREA 0GM_BDVER 0GM_VLTYP 0GM_RTRAN
0GM_STATI

¹Modification of Commitment/Actual Detail (0GM_C01_Q01)
 Copy query 0GM_C01_Q01 first.  Open the copy with the SAP BEx Query Designer and navigate to the Rows/Columns Tab.  In the Rows area, add the four characteristics  Necessary  0GM_BDVER Budget Version  0GM_RTRAN Business Transaction  0FISCPER Fiscal year/period  0FISCALYEAR Fiscal Year  0COMP_CODE Legal Entity  Optional (while Mapping, assign to # if not existing in query)  0CURTYPE Currency Type  0GM_STATI GM Statistical Indic  Suppress the Results Rows for all characteristics (Properties Display)
Save your work.
²The Fiscal Period can be mapped to the Time Dimension if the Fiscal Period is similar to a YYYY/MM Structure. In the data wrangling view, you can adjust the Fiscal Period to the time dimension by using the replace function.
For columns in the BW Query which are not mentioned in this table and cannot be mapped to the SAP Analytics Cloud model, chose the Do not map option.

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 Note
* Private dimension and other dimensions are public.

3.16.4.3 Grants Lifecycle (SAP__PS_HER_IM_GRANTSLIFECYCLE)

Model Name: SAP__PS_HER_IM_GRANTSLIFECYCLE
 Model Description: SAP Public Services: HE&R ­ Grants Lifecycle  Planning Enabled: No

Grants Lifecycle Account* ID Count

Description Count

Dimensions ID Time* SAP_PS_HER_GRANT SAP_PS_HER_GRANT_TYPE SAP_PS_HER_LIFECYCLE_STATUS SAP_PS_HER_USER_STATUS

Description Time Grant Grant Type Grant Lifecycle Status Grant User Status

 Note
* Private dimension and other dimensions are public.

Connection  Connection Type: Import Data
Connection to an SAP BW System  Query: 0GM_C04_Q01
Formula/Mapping Counter Field, fill in SAP Analytics Cloud with "1"
Mapping 0GM_Date 0GRANT_NBR 0GM_GRNTP 0GM_LFSTA 0GM_USSTA

3.16.4.4 Student Activity (SAP__PS_HER_IM_STUDENT_ACTIVITY)

Model Name: SAP__PS_HER_IM_STUDENT_ACTIVITY Model Description: SAP Public Services: HE&R - Student Activity Planning Enabled: No
Account*Mapping

Connection
 Connection Type: Hana Live connectivity  Connection Hana View: Calculation View
based on Industry Specific View Enrollment sah.curatedViews:materialized.Enrollment

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Model Name: SAP__PS_HER_IM_STUDENT_ACTIVITY

Connection

ID STD_HDCNT
INST_HDCNT
COL_CAP Dimensions ID Time*

Description Student Headcount
Instructor Headcount
College Capacity

Exception Aggregation, Dimension

Mapping

COUNT, SAP_PS_HER_STUDENT

Counter Field, fill in SAP Analytics Cloud with "1"

COUNT, SAP_PS_HER_PRIMARY_INSTRUCTOR Counter Field, fill in SAP Analytics Cloud with "1"

Do not map, See next table

Description Time

Mapping
Can be mapped to: En rollmentStatusEffecti veDate

However, in the con tent "Academic Year" is used as a primary time filter

SAP_PS_HER_STUDENT SAP_PS_HER_ACADEMIC_YEAR SAP_PS_HER_ACADEMIC_TERM SAP_PS_HER_ACADEMIC_TERM SAP_PS_HER_CLASSCOLLEGE SAP_PS_HER_CLASSCOLLEGE SAP_PS_HER_CLASS_DEPARTMENT SAP_PS_HER_CLASS_DEPARTMENT SAP_PS_HER_CLASSID SAP_PS_HER_CLASSID SAP_PS_HER_ENROLLMENT SAP_PS_HER_WAITLISTED SAP_PS_HER_ONLINE_COURSE SAP_PS_HER_IS_RETAKE SAP_PS_HER_GRADE SAP_PS_HER_GRADE_SCALE SAP_PS_HER_GRADE_VALUE SAP_PS_HER_PRIMARYDELIVERYMODE

Student Academic Year Academic Term ID Academic Term Description Class College ID Class College Description Class Department ID Class Department Description Class ID Class Description Enrolment Student is on the waitlist Online Course Course is Retake Grade Grade Scale Grade Value Primary Delivery Mode ID

StudentID AcademicYear AcademicTerm AcademicTermName ClassCollegeShort ClassCollege ClassDepartmentID ClassDepartment ClassID Class Enrollment Waitlisted IsOnlineCourse IsRetake Grade GradeScale GradeValue PrimaryDeliveryMo deID

SAP_PS_HER_PRIMARYDELIVERYMODE

Primary Delivery Mode Description

PrimaryDeliveryMode

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Model Name: SAP__PS_HER_IM_STUDENT_ACTIVITY

Connection

SAP_PS_HER_PRIMARY_INSTRUCTOR

Primary Instructor

SAP_PS_HER_PRIMARY_INS_DEPT

Primary Instructor Department ID

SAP_PS_HER_PRIMARY_INS_DEPT

Primary Instructor Department Description

SAP_PS_HER_PRIM_STUD_COLLEGE

Primary Student College

SAP_PS_HER_PRIM_STUD_DEPT

Primary Student Department ID

SAP_PS_HER_PRIM_STUD_DEPT

Primary Student Department Description

SAP_PS_HER_PRIM_STUD_DEGREE

Primary Student Degree ID

SAP_PS_HER_PRIM_STUD_DEGREE

Primary Student Degree Description

SAP_PS_HER_PRIM_STUD_MAJOR

Primary Student Major ID

SAP_PS_HER_PRIM_STUD_MAJOR

Primary Student Major Description

SAP_PS_HER_PRIMARY_INS_TITLE

Primary Instructor Title Series ID

Additional Notes about the model

PrimaryInstructorID
PrimaryInstructorDe partmentID
PrimaryInstructorDe partment
PrimaryStudentCol lege
PrimaryStudentDe partmentID
PrimaryStudentDe partment
PrimaryStudentDe greeName
PrimaryStudentDe gree
PrimaryStudentMa jorID
PrimaryStudentMajor Name
PrimaryInstructorTi tleSeries

Connection type:
SAP Student Activity Hub can be connected to SAC via a Hana Live connectivity.
Calculation views need to be created on top of the materialized tables of SAP Student Activity Hub.
The complete Student Activity Hub content is built with the data acquisition models to provide sample data. Data from SAP Hana views cannot be used to stage data into data acquisition models.
For those cases, new live data connection models need to be created. The following documentation describes the required SAP HANA views and their fields in detail. The structure of the live models corresponds to the delivered data acquisition models. Thus, stories can easily be switched to run on the live data models once these are created.

 Note
* Private dimension and other dimensions are public.

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Model Name: SAP__PS_HER_IM_STUDENT_ACTIVITY

Connection

 Model Description: SAP Public Services: HE&R - Student Activity  Planning Enabled: No

 To add information on the capacity of colleges, which cannot be re trieved from the original data source, an addi tional excel file needs to be uploaded.
 Connection type: Import data from Excel

Account

ID

Description

STD_HDCNT

Student Headcount

INST_HDCNT

Instructor Headcount

COL_CAP

College Capacity

Dimensions

ID

Time

SAP_PS_HER_STUDENT

SAP_PS_HER_ACADEMIC_YEAR

SAP_PS_HER_ACADEMIC_TERM

SAP_PS_HER_CLASSCOLLEGE

SAP_PS_HER_CLASS_DEPARTMENT

SAP_PS_HER_CLASSID

SAP_PS_HER_ENROLLMENT

SAP_PS_HER_WAITLISTED

SAP_PS_HER_ONLINE_COURSE

SAP_PS_HER_IS_RETAKE

SAP_PS_HER_GRADE

SAP_PS_HER_GRADE_SCALE

SAP_PS_HER_GRADE_VALUE

SAP_PS_HER_PRIMARYDELIVERYMODE

SAP_PS_HER_PRIMARY_INSTRUCTOR

SAP_PS_HER_PRIMARY_INS_DEPT

SAP_PS_HER_PRIM_STUD_COLLEGE SAP_PS_HER_PRIM_STUD_DEPT

Mapping Do not map Do not map College Capacity Column

Description

Mapping

Time

Time

Student

Assign to #

Academic Year

AcademicYear

Academic Term ID

AcademicTerm

Class College ID

ClassCollegeShort

Class Department ID

Assign to #

Class ID

Assign to #

Enrolment

Assign to #

Student is on the waitlist

Assign to #

Online Course

Assign to #

Course is Retake

Assign to #

Grade

Assign to #

Grade Scale

Assign to #

Grade Value

Assign to #

Primary Delivery Mode ID

Assign to #

Primary Instructor

Assign to #

Primary Instructor Depart ment ID

Assign to #

Primary Student College

PrimaryStudentCollege

Primary Student Department Assign to # ID

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Model Name: SAP__PS_HER_IM_STUDENT_ACTIVITY SAP_PS_HER_PRIM_STUD_DEGREE SAP_PS_HER_PRIM_STUD_MAJOR SAP_PS_HER_PRIMARY_INS_TITLE
Additional Notes about the model

Connection

Primary Student Degree ID Assign to #

Primary Student Major ID

Assign to #

Primary Instructor Title Ser Assign to # ies ID

Create an excel sheet with the following columns, 1 row for every College in a specific year/term and add college capacity for that college in that year/term.

AcademicTerm

AcademicYear

PrimaryStudent College

ClassCollege Short

College Capacity

3.16.4.5 Student Demographics (SAP__PS_HER_IM_STUD_DEMOGRAPH)

Model Name: SAP__PS_HER_IM_STUD_DEMOGRAPH
 Model Description: SAP Public Services: HE&R - Student Demographics  Planning Enabled: No

Account*

ID

Description

ActiveHoldsAcademicCur rent

Academic Holds

ActiveHoldsAdministrative Current

Administrative Holds

ActiveHoldsFinancialCurrent Financial Holds

AgeCurrent

Age

SAT

SAT Score

SATMath

SAT Math Score

SATMax

SAT Max Score

SATWriting

SAT Writing Score

Connection
 Connection Type: Hana Live connectivity
 Connection Hana View: Calculation View based on Industry Specific View Student Demo graphics sah.curated Views:material ized.Demographics
Formula/Mapping ActiveHoldsAcademicCur rent ActiveHoldsAdministrative Current ActiveHoldsFinancialCurrent AgeCurrent SAT SATMath SATMax SATWriting

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NumberOfPellTerms count

Number of Pell Terms
Number of Students Exception Aggregation COUNT, Dimension: SAP_PS_HER_STUDENT

NumberOfPellTerms
Counter Field, fill in SAP Ana lytics Cloud with "1"

Dimensions ID Time*

Description Time

Mapping
Can be mapped to GRADGra duationEffectiveDate or UG GraduationEffectiveDate

but in the content Academic Year is used as the primary time filter

CountyOfOrigin_6s6e6y0737² CountryOfOriginCode² SAP_PS_HER_COUNTY_OF_ORIGIN² SAP_PS_HER_ETHNICITY SAP_PS_HER_GENDERIDENTITY_CUR SAP_PS_HER_HIGHSCHOOL SAP_PS_HER_RESIDENCY_STATUS SAP_PS_HER_IS_ATHLETE SAP_PS_HER_HAS_PELL_CURRENT SAP_PS_HER_HAS_PELL_EVER SAP_PS_HER_LATEST_PELL_AWARDED SAP_PS_HER_LATEST_PELL_AWARDED
SAP_PS_HER_LATEST_PELL_YEAR SAP_PS_HER_STUDENT SAP_PS_HER_STATEOFORIGIN SAP_PS_HER_ACADEMIC_TERM SAP_PS_HER_ACADEMIC_TERM SAP_PS_HER_ACADEMIC_YEAR Additional Notes about the model

County ­ State of Origin

CountyOfOriginName

Country of Origin Geo

CountryOfOriginCode

County of Origin

CountyOfOriginCode

Ethnicity

Ethnicity

Gender Identity Current

GenderIdentityCurrent

High School

HighSchoolID

Residency Status Current

ResidencyStatusCurrent

Student is Athlete

IsAthleteCurrent

Has Pell Current

HasPellCurrent

Has Pell Ever

HasPellEver

Latest Pell Awarded Term ID LatestPellAwardedTerm

Latest Pell Awarded Term De LatestPellAwardedTerm

scription

Name

Latest Pell Awarded Year

LatestPellAwardedYear

Student

StudentID

State of Origin

StateOfOriginCurrent

Academic Term ID

AcademicTerm

Academic Term Description AcademicTermName

Academic Year

AcademicYear

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Connection type: SAP Student Activity Hub can be connected to SAP Analytics Cloud via a HANA Live connectivity. Calculation views need to be created on top of the materialized tables of SAP Student Activity Hub. The complete Student Activity Hub content is built with data acquisition models to provide sample data. Data from SAP HANA views cannot be used to stage data into data acquisition models. For those cases, new live data connection models need to be created. The following documentation describes the required SAP HANA views and their fields in detail. The structure of the live models corresponds to the delivered data acquisition models. Thus, stories can easily be switched to run on the live data models once these are created. ²The Geo capabilities vary by connection type that is used. If you are using a live HANA Connection instead of a data import connection, find information how to create a Geo Model in the Official SAP Analytics Cloud Documentation.
 Note
* Private dimension and other dimensions are public.
3.17 Public Services - Volunteer Workforce Management
3.17.1 Architecture and Abstract
The content package consists out of the 1 story Volunteer Workforce. This story consists of six pages which provide a public agency user with a few dashboards to get a quick overview of the agency's volunteers and their readiness, i.e. qualifications, to help with a certain type of an emergency incident. The data acquisition of the Volunteer Workforce is based on a flat file.

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3.17.2 Stories
SAP__PS_WFM_IM_VOLUNTEER WORKFORCE_DAQ In the Volunteers overview a public sector agency user gets transparency about the number of the agency's volunteers and the number of professional qualifications they possess as well as sees the percentage of volunteers who did not yet acquire a certification. A public sector agency user gets a closer insight into the gender, geographical, age, etc. diversity of volunteers. She/he is also provided with an opportunity to inspect qualifications attainment depending on different volunteer groups formed using the above-mentioned social grouping. A public sector agency user can also see historic trends in attainment of different qualifications for both males and females. She/he is provided with a closer look on the time trend per current fiscal year. A user can quickly react to the real time incidents by selecting a pair of required volunteer skills and drilling to the individual names of volunteer members qualified to assist.

Calculations

The following table contains the calculations, that are provided in the story to display all charts properly.

Measure Name 100%

Type Calculated Measure

Command a medium scale incident

Restricted Measure

Command a small incident

Restricted Measure

Formula/Properties
 Formula 1
- Measure: - Members with Qualification Count - Dimension: - Service Standard Function / Role - Values or Input Controls: - Command a medium scale incident, or a sector of multiple strike teams
- Measure: - Members with Qualification Count - Dimension: - Service Standard Function / Role - Values or Input Controls: - Command a small incident, or a strike team

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Measure Name

Type

Fight a bush / grass fire under supervi Restricted Measure sion

Fight a fire without direct supervision Restricted Measure
Fight a village type fire (structure/vehi Restricted Measure cle)

Lead a crew fighting a bush fire

Restricted Measure

Lead a crew fighting a village type fire Restricted Measure

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Formula/Properties - Measure: - Members with Qualification Count - Dimension: - Service Standard Function / Role - Values or Input Controls: - Fight a bush / grass fire under super vision
- Measure: - Members with Qualification Count - Dimension: - Service Standard Function / Role - Values or Input Controls: - Fight a fire without direct supervision
- Measure: - Members with Qualification Count - Dimension: - Service Standard Function / Role - Values or Input Controls: - Fight a village type fire (structure/ vehicle)
- Measure: - Members with Qualification Count - Dimensions: - Service Standard Function / Role - Values or Input Controls: - Lead a crew fighting a bush fire
- Measure: - Members with Qualification Count - Dimensions: - Service Standard Function / Role - Values or Input Controls: - Lead a crew fighting a village type fire
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Measure Name Member %

Type Calculated Measure

Members Aged 25 and Under

Calculated Measure

Members Aged 25 Under

Restricted Measure

Members Aged 55 and Over

Restricted Measure

Members Aged 55 and Over

Calculated Measure

Member Subset

Calculated Measure

Members where Age is Known

Restricted Measure

Formula/Properties
- Formula - %GrandTotal (["SAP__PS_WFM_IM_VOLWF_VOLQ UAL": Member Count])
- Formula: - #Members Aged 25 Under / #Mem bers where Age is Known
- Measure: - Member Count - Dimension: - Member Age Range - Values of Input Controls: - 16-17, Under 16, 18-25
- Measure: - Member Count - Dimension: - Member Age Range - Values or Input Controls: - 55-64, 65-74, 75 and older
- Formula: - #Members Aged 55 and Over / #Members where Age is Known
- Formula: ["SAP__PS_WFM_IM_VOLWF_VOLQ UAL": Member Count])/18343
- Measure: - Member Count - Dimension: - Member Age Range

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Measure Name Qualifications Attained YTD

Type Restricted Measure

Formula/Properties
- Measure: - Qualifications Count - Dimension: - Qual Assigned On - Values or Input Controls - Current Year

3.17.3 Models

SAP Public Services: Volunteer Workforce Management: Volunteer Workforce: Volunteer Qualifications

Model Name: SAP__PS_WFM_IM_VOLWF_VOLQUAL

Connection

 Model Description: SAP Public Services: Volunteer Workforce Management: Volunteer Workforce: Volunteer Qualifications
 Planning Enabled: No

 Data File

Account ID SAP_PS_WFM_VOLUNTEERQUALS Dimensions Name Reporting_Date Vol_Start_Date Qual_Start_Date_FY Qual_Start_Date_Cal Qual_Assigned_On SAP_PS_WFM_PERAREA SAP_PS_WFM_PERSUBAREA SAP_PS_WFM_EMPLGROUP SAP_PS_WFM_EMPLSUBGROUP SAP_PS_WFM_ORGSTRUCTURE SAP_PS_WFM_GENDER SAP_PS_WFM_VOLMASTER SAP_PS_WFM_MEMSTAT SAP_PS_WFM_MEMTYPE

Description Measures
Description Reporting Date Member Start Date Qual. Start Date Fiscal Year Qual Start Date Calendar Qual Start Date Calendar Region Personnel Subarea Employee Group Employee Subgroup Organizational Structure Gender Members Member Status Member Type

Formula/Mapping Mapping

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Model Name: SAP__PS_WFM_IM_VOLWF_VOLQUAL

SAP_PS_WFM_VOLROLE

Member Role

SAP_PS_WFM_VOLSTATUS

Volunteer Status

SAP_PS_WFM_VOTINGRIGHTS

Member Voting Rights

SAP_PS_WFM_MOVETYPE

Move Type

SAP_PS_WFM_MOVEREASON

Reason for Movement

SAP_PS_WFM_VOLRANK

Member Rank

SAP_PS_WFM_QUALIFICATION

Qualification

SAP_PS_WFM_ENDDATE

End Date

SAP_PS_WFM_ZZADF

ADF

SAP_PS_WFM_ZZADF_OPER

ADF Operational

SAP_PS_WFM_ZZHIGH_ED

Higher Education Qualification

SAP_PS_WFM_HR_ATSI

ATSI Status

SAP_PS_WFM_HR_MOVEC

Racial / Ethnic Status

SAP_PS_WFM_HR_FSLNG

Employee Group

SAP_PS_WFM_HR_DISAP

Disability Status

SAP_PS_WFM_VOLAGERANGE

Employee Group

SAP_PS_WFM_HR_QUAL_EXP_RANGE Qualifaction Expiry

SAP_PS_WFM_HR_LENGTH_SERVICE Length of Service

SAP_PS_WFM_MAIN_NON_ENGLISH Main Language Spoken

SAP_PS_WFM_COUNTRY_BIRTH

County of Birth

SAP_PS_WFM_HR_PERSSUBAFLAT District

Connection

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3.18 Real Estate Management (RE)
3.18.1 Architecture and Abstract
3.18.1.1 Introduction
The content package consists out of the 3 stories and a dashboard "Real Estate Management". 1. Location Management 2. Workspace Utilization Management 3. Contract & Lease Management Depending on your Real Estate products in use, only some of them might be relevant for you. The stories differ in data acquisition but also demonstrate how different sources contribute into the same analytical environment: SAP Analytics Cloud and the Digital Boardroom.

Location Management
This story is based on "SAP Cloud for Real Estate, Location Management". It is a new Software as a Service solution on SAP Cloud Platform that supports our customers in their corporate real estate management. The application focuses on location management, providing insights you need to expertly manage your enterprise real estate portfolio. A predefined analytical story gives transparency on the global portfolio compositions, area management, workplace management & workspace occupancy. Data acquisition is recommended to be run once a month, examples show the last day of a month.

Workspace Utilization Management
This story is based on the SAP Cloud for Real Estate Workspace Utilization Management Solution. The Workspace Utilization Management Solution is a component of SAP Cloud for Real Estate and provides transparency and insights on actual office workspace utilization to corporate real estate managers. The solution integrates a variety of sensor platform providers, stores and processes their sensor measurement data and consolidates everything on dashboards based on live data connections in SAP Analytics Cloud.

Contract & Lease Management
This story is based on the classic RE-FX. It offers Real Estate customers analyses about their contracts, their conditions, renewal options and cash flow valuations by various dimensions, for example, country, time, company, status, and type.
It is an improved reporting solution, based on SAP guidelines and Best Practices. Also it is a major step towards IFRS 16 compliancy for lease contract and property asset reporting.

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The following chapters explain both parts in detail.
Location Management Live
As the Location Management story based on OData data aquisition, this story is based on SAP Cloud for Real Estate, Location Management. It is a new Software as a Service solution on SAP Cloud Platform that supports our customers in their corporate real estate management. The Location Management Live story is based on a live data connection, that enables the customer to always have a contemporary overview on you real estate porfolio. The predefined analytical story gives
3.18.1.2 Architecture
Location Management
The data acquisition of the Location Management is based on OData connection. The OData service provides three entities, each of which corresponds to one model.

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Workspace Utilization Management Solution
The data access of the Workspace Utilization Management is based on a live data connection to the SAP Cloud Foundry subscription of the Workspace Utilization Management application. The application exposes two entities, which each correspond to one model.

Contract & Lease Management
The data acquisition of the Contract and Lease Management is based on a SAP BW/4HANA Live Data Connection

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Location Management Live
The data access of the Location Management Live is based on a live data connection to the Cloud for Real Estate HDI Container. The application exposes five entities, which each correspond to one model.

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3.18.2 Dashboard
The name of the Real Estate Dashboard is SAP_RE_Dashboard. Both Story (Location Management as well as Contract & Lease Management) are included.

3.18.3 Stories
3.18.3.1 SAP__RE_GEN_C4RE_LOCATION_MANAGEMENT1
SAP Real Estate: General-Cloud for Real Estate Location Management In the Portfolio Overview a global real estate portfolio manager gets transparency about the most relevant key figures, like numbers of sites & buildings, occupancy rate or average portfolio age. His portfolio is visualized on a map which can be used as a filter too. Various filters on the top support detailed insights. One objective of a real estate manager lies in the most efficient space management. That's why the Area Details page provides various perspectives on how square meters are used. Variances in comparison to previous month indicate positive or negative changes. Corporate Real Estate Management requires active workspace management to manage buildings in the most efficient manner. Thereof the total occupancy rate as well as detailed views on the workplace types are indicators of action required or opportunities to leverage. Another important element that a real estate manager has to consider is the age of his portfolio. The Age Details page visualises the most important statements that apply to the age.

3.18.3.1.1 Calculations

The following table contains the calculations, that are provided in the story to display all charts properly

Measure Name Sites
Buildings
Workplaces Area per Workplace Average Age

Type Aggregation
Aggregation
Calculated Measure Calculated Measure Calculated Measure

Formula/Properties
Operation: COUNT DIMENSION Dimension: Sitename
Operation: COUNT DIMENSION Dimension: BuildingShortname Formula: AvailableWorkplaces+Occu pied Workplaces Formula: Area/Workplaces Formula: Age / Buildings

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Measure Name Workplace Area

Type Restricted Measure

Non Workplace Area Workplace Area (percentage) Occupancy Proportion

Calculated Measure Calculated Measure Calculated Measure

Available Proportion
Occupancy Proportion (shared work places only)
Available Proportion (shared workpla ces only)

Calculated Measure Calculated Measure
Calculated Measure

Delta to Target Capacity

Calculated Measure

Formula/Properties
Measure: Area Dimensions: AreaComponent Formula Area - WorkspaceArea Formula - Workplace Area (percentage) Formula - Occupancy Proportion / Workplaces Formula - 1 - Occupancy Proportion Formula - Occupancy Proportion / #Spaces
Operation - COUNT DIMENSION Dimensions: Spacename BuildingShortName Formula: TargetCapacity - Workplaces

Explanation:
 Area per Workplace This calculation shows the average area for each workplace.
 WorkspaceArea The calculation shows the area, that is only categorized as Workspace.
 Workplace Area Efficiency Shows the WorkspaceArea in relation to the Grossarea
 Occupancy Proportion The amount of occupied workplaces in percent.
 Delta to Target Capacity Describes the gap between used workplaces and workplaces which would ideally fit in these spaces.
 Note
The aggregation and representation of the data, like it is in the story, won't work if you trigger it more often than once in a month. Append the data only once per month. Do not load multiple times in a month, otherwise align variance period to your trigger period

3.18.3.2 SAP__RE_GEN_WORKSPACE_UTILIZATION_MANAGE MENT_LIVE
SAP Real Estate: General - Workspace Utilization Management In the Workspace Utilization Management Overview, a corporate real estate manager gets transparency about the actual utilization of office workplaces and spaces.

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3.18.3.2.1 Calculations

Measure Name Average Daily Workplace Utilization

Type Aggregation

Average Daily Space Utilization

Aggregation

Formula/Properties
Operation: Average Measure: Daily Workplace Utilization Dimensions: Year, Month, DAYOF MONTH
Operation: Average Measure: Connected Devices per Work space Area Dimensions: DAYNAME

3.18.3.3 SAP__RE_Contract_and_Lease_Mgmnt
SAP Real Estate: General -Contract and Lease Management The Contract and Lease Management story offers Real Estate customers analyses about their contracts, their conditions, renewal options and cash flow valuations by various dimensions, e.g. country, time, company, status, and type.

3.18.3.3.1 Calculations

Measure Name Condititon per Year (*12) Operational Costs

Type Calculated Measure Restricted Measure

Base Rent

Restricted Measure

Formula/Properties
Condition per Month *12
Measure [Condition per Month] re stricted by [Condition Type] on [Operat ing Cost LI]
Measure [Condition per Month] re stricted by [Condition Type] on [Rent Lease In]

3.18.3.4 SAP__RE_GEN_LOCATIONMANAGEMENT_LIVE

In the Portfolio Overview a global real estate portfolio manager gets transparency about the most relevant key figures, like numbers of sites and buildings, occupancy rate or average portfolio age. His portfolio is visualized on a map.

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Corporate Real Estate Management requires active workspace management to manage buildings in the most efficient manner. Thereof the total occupancy rate as well as detailed views on the workplace types are indicators of action required or opportunities to leverage.
In large companies, the occupancy of workplaces is changing very frequently. With the Location Management Live a Real Estate Manager is always able to look into current details.
Further parts a real estate manager has to examine are the details of his buildings.
In the Building Details page, he is able to investigate the most important details, which include but are not limited to charts based on the age or the region.

3.18.3.4.1 Calculations

The following table contains the calculations that are provided in the story to display all charts properly.

Measure Name Occupied workplaces in %
Delta to Target Capacity
Age

Type Calculated Measure
Calculated Measure
Aggregation

Building_Count

Aggregation

Age AVG

Calculated Measure

Formula/Properties
Formula: count workplaces which are occupied / count workplaces
Formula: TargetCapacity / count work places
- Operation: SUM - Measure: age of building in years - Dimensions: Building Name
- Operation: COUNT excluding 0, NULL - Measure: Age - Dimensions: Building Name
Formula: Age / Building_Count

Explanation: - Occupancy Proportion The amount of occupied workplaces in percent. - Delta to Target Capacity Describes the gap between used workplaces and workplaces which would ideally fit in this spaces.

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3.18.4 Models 3.18.4.1 General-Cloud for Real Estate Space

Model Name: SAP__RE_GEN_IM_C4RE_SPACEMODEL
 Model Description: SAP Real Estate: General-Cloud for Real Estate Space  Planning Enabled: Yes

Account ID
Latitude Longitude

Description
Latitude Longitude

TargetCapacity Age Dimensions Name
Account* BuildingShortname* Date*

TargetCapacity Age Description
Account Date

SAP_RE_GEN_C4RE_AGEINTERVAL SAP_RE_GEN_C4RE_BUILDINGSTA TUS SAP_RE_GEN_C4RE_BUILDINGTYPE SAP_RE_GEN_C4RE_CONSTRUCTI ONY SAP_RE_GEN_C4RE_COUNTRY SAP_RE_GEN_C4RE_COUNTRYSUB SAP_RE_GEN_C4RE_FLOORNAME SAP_RE_GEN_C4RE_FLOORSTATUS

AgeInterval Building Status
Building Type Construction Year
Country Country Subdivision Floorname Floor Status

Connection  Connection Type: OData Services  Connection Queries:
 AnalyticsSpacesQuery  AnalyticsSpacesDataQuery
Mapping/Formula OData Services: AnalyticsSpacesQuery Latitude Longitude OData Services: AnalyticsSpacesData Query TargetCapacity BuildingAge
Mapping OData Services: AnalyticsSpacesQuery
BuildingShortname Date OData Services: AnalyticsSpacesData Query BuildingAgeGroup BuildingStatus
BuildingType BuildingConstructionYear
CountryAlpha2Code CountrySubdivisionId FloorShortName FloorStatus

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Model Name: SAP__RE_GEN_IM_C4RE_SPACEMODEL

Connection

SAP_RE_GEN_C4RE_OWNERSHIP

Ownership Status

BuildingOwnershipStatus

SAP_RE_GEN_C4RE_REGION

Region

RegionId

SAP_RE_GEN_C4RE_SITENAME

Sitename

SiteShortName

SAP_RE_GEN_C4RE_SPACENAME

Spacename

SpaceShortName

SAP_RE_GEN_C4RE_SPACESTATUS Space Status

SpaceStatus

SAP_RE_GEN_C4RE_SPACETYPE

Space Type

SpaceUsageType

SAP_RE_GEN_C4RE_SUBREGION

Subregion

SubregionId

Additional Notes about the Model

Please append the data of both queries only once per month, if you have representative values for each month.

*Private dimension, other dimensions are public.

3.18.4.2 General-Cloud for Real Estate SpaceArea (SAP__RE_GEN_IM_C4RE_SAREAMODEL)

Model Name: SAP__RE_GEN_IM_C4RE_SAREAMODEL
 Model Description: SAP Real Estate: General-Cloud for Real Estate Space Area
 Planning Enabled: Yes

Account ID

Description

Latitude Longitude

Latitude Longitude

Area Age Dimensions Name

Area Age
Description

Connection  Connection Type: OData Services  Connection Queries:
 AnalyticsSpaceAreasQuery  AnalyticsSpaceAreasData
Query
Mapping/Formula OData Services: AnalyticsSpaceAreas Query Latitude Longitude OData Services: AnalyticsSpaceAreas DataQuery Area BuildingAge
Mapping

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Model Name: SAP__RE_GEN_IM_C4RE_SAREAMODEL

Connection

Account* BuildingShortname* Date*

Account Date

OData Services: AnalyticsSpaceAreas Query
BuildingShortname Date

OData Services: AnalyticsSpaceAreas DataQuery

SAP_RE_GEN_C4RE_AGEINTERVAL AgeInterval

BuildingAgeGroup

SAP_RE_GEN_C4RE_BUILDINGSTA TUS

Building Status

BuildingStatus

SAP_RE_GEN_C4RE_BUILDINGTYPE Building Type

BuildingType

SAP_RE_GEN_C4RE_CONSTRUCTI ONY

Construction Year

BuildingConstructionYear

SAP_RE_GEN_C4RE_COUNTRY

Country

CountryAlpha2Code

SAP_RE_GEN_C4RE_COUNTRYSUB Country Subdivision

CountrySubdivisionId

SAP_RE_GEN_C4RE_FLOORNAME

Floorname

FloorShortName

SAP_RE_GEN_C4RE_FLOORSTATUS Floor Status

FloorStatus

SAP_RE_GEN_C4RE_OWNERSHIP

Ownership Status

BuildingOwnershipStatus

SAP_RE_GEN_C4RE_REGION

Region

RegionId

SAP_RE_GEN_C4RE_SITENAME

Sitename

SiteShortName

SAP_RE_GEN_C4RE_SPACENAME

Spacename

SpaceShortName

SAP_RE_GEN_C4RE_SPACESTATUS Space Status

SpaceStatus

SAP_RE_GEN_C4RE_SPACETYPE

Space Type

SpaceUsageType

SAP_RE_GEN_C4RE_SUBREGION

Subregion

SubregionId

SAP_RE_GEN_C4RE_AREACOMPO NENT

Area Component

AreaComponent

SAP_RE_GEN_C4RE_AREASUBCOM PONENT

Area Subcomponent

AreaSubComponent

Additional Notes about the Model

Please append the data of both queries only once per month, if you have representative values for each month.

*Private dimension, other dimensions are public.

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3.18.4.3 General-Cloud for Real Estate Workplace

Model Name: SAP__RE_GEN_IM_C4RE_WPMODEL
 Model Description: SAP Real Estate: General-Cloud for Real Estate Work place
 Planning Enabled: Yes

Account ID

Description

Latitude Longitude

Latitude Longitude

Available Workplace Occupied Workplaces Occupancy Proportion Age Dimensions Name

Available Workplaces Occupied Workplaces Occupancy Proportion Age
Description

Account* BuildingShortname* Date*

Account Date*

SAP_RE_GEN_C4RE_AGEINTERVAL
SAP_RE_GEN_C4RE_BUILDINGSTA TUS
SAP_RE_GEN_C4RE_BUILDINGTYPE
SAP_RE_GEN_C4RE_CONSTRUCTI ONY
SAP_RE_GEN_C4RE_COUNTRY
SAP_RE_GEN_C4RE_COUNTRYSUB

AgeInterval Building Status
Building Type Construction Year
Country Country Subdivision

Connection  Connection Type: OData Services  Connection Queries:
 AnalyticsWorkplaceQuery  AnalyticsWorkplaceData
Query
Mapping/Formula OData Services: AnalyticsWorkplaces Query Latitude Longitude OData Services: AnalyticsWorkplaces DataQuery AvailableWorkplaces OccupiedWorkplaces OccupancyProportion BuildingAge
Mapping OData Services: AnalyticsWorkplaces Query
BuildingShortname Date* OData Services: AnalyticsWorkplaces DataQuery BuildingAgeGroup BuildingStatus
BuildingType BuildingConstructionYear
CountryAlpha2Code CountrySubdivisionId

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Model Name: SAP__RE_GEN_IM_C4RE_WPMODEL

Connection

SAP_RE_GEN_C4RE_FLOORNAME

Floorname

FloorShortName

SAP_RE_GEN_C4RE_FLOORSTATUS Floor Status

FloorStatus

SAP_RE_GEN_C4RE_OWNERSHIP

Ownership Status

BuildingOwnershipStatus

SAP_RE_GEN_C4RE_REGION

Region

RegionId

SAP_RE_GEN_C4RE_SITENAME

Sitename

SiteShortName

SAP_RE_GEN_C4RE_SPACENAME

Spacename

SpaceShortName

SAP_RE_GEN_C4RE_SPACESTATUS Space Status

SpaceStatus

SAP_RE_GEN_C4RE_SPACETYPE

Space Type

SpaceUsageType

SAP_RE_GEN_C4RE_SUBREGION

Subregion

SubregionId

SAP_RE_GEN_C4RE_WORKPLACE TYPE

Workplace Type

WorkplaceType

Additional Notes about the model

Please append the data of both queries only once per month, if you have representative values for each month.

*Private dimension, other dimensions are public.

3.18.4.4 General- Workplace Utiilization

Model Name: SAP__RE_GEN_LH_ WORKPLACEUTILIZATION Model Description: SAP Real Estate: General - Workplace Utilization

Account Dimension ID

Description

TOTALWORKPLACES UTILIZEDWORKPLACES DAILYWORKPLACEUTILIZATION
Dimensions Name

Number of Total Workplaces Number of Utilized Workplaces Daily Workplace Utilization
Description

COUNTRYCODE

Country

Connection
 Live Data Connection to SAP SCP CF with SSO (Simple URLs)
 Name of SAP HANA View: WORK PLACEUTILIZATION
Mapping/Formula  Live Connection  WORKPLACEUTILIZATION TOTALWORKPLACES UTILIZEDWORKPLACES [UTILIZEDWORKPLACES]/[TOTAL WORKPLACES]
Mapping Live Connection: WORKPLACEUTILIZA TION COUNTRYCODE

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Model Name: SAP__RE_GEN_LH_ WORKPLACEUTILIZATION

DAYNAME

Name of the Day

DAYOFMONTH

Day of the Month

MONTH

Month

QUARTER

Quarter

SITENAME

Sitename

YEAR

Year

REGIONID

Region

Connection DAYNAME DAYOFMONTH MONTH QUARTER SITENAME YEAR REGIONID

3.18.4.5 General ­ Space Utilization (SAP__RE_GEN_LH_SPACEUTILIZATION)

Model Name: SAP__RE_GEN_LH_SAP__RE_GEN_LH_SPACEUTILIZATION Model Description: SAP Real Estate: General - Space Utilization

Connection
 Live Data Connection to SAP SCP CF with SSO (Simple URLs)
 Name of SAP HANA View: SPACE UTILIZATION

Account Dimension ID
MEASUREVALUE
WORKSPACEAREA SAP_RE_CONNECTED_DEVI CES_PER_WORKSPACE_AREA Dimensions Name
COUNTRYCODE DAYNAME DAYOFMONTH MONTH QUARTER SITENAME YEAR

Description

Mapping/Formula

Live Connection: SPACEUTILIZATION

Measured Number of Connected Devi MEASUREVALUE ces

Size of Workspace Area

WORKSPACEAREA

Connected Devices per Workspace Area

[MEASUREVALUE]/[WORKSPA CEAREA]

Description
Country Name of the Day Day of the Month Month Quarter Sitename Year

Mapping Live Connection: SPACEUTILIZATION COUNTRYCODE DAYNAME DAYOFMONTH MONTH QUARTER SITENAME YEAR

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Model Name: SAP__RE_GEN_LH_SAP__RE_GEN_LH_SPACEUTILIZATION

REGIONID

Region

WORKSPACEAREAUNIT

Workspace Area Unit

Connection REGIONID WORKSPACEAREAUNIT

3.18.4.6 General - Contract and Lease Management Contract List (SAP__RE_GEN_LB_REIO50_Q01000)

Model Name: SAP__RE_GEN_LB_REIO50_Q0100
 Model Description: SAP Real Estate: General  Contract and Lease Management Contract List

Measures ID 00O2TFIS8KH9NX7CI0633UERO Dimensions See Screen Shot below

Description Number of Records

Connection
 Live Data Connection to SAP BW/ 4HANA
 Connection name: SAPREBW  /IMO/V_REIO50_Q0100  https://help.sap.com/viewer/
06e872f914a44d77b6c692b0273c a400/1.0.7/en-US/ cbf48fbfdb64464a8ec9eda61dc4d d65.html
Mapping/Formula

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3.18.4.7 General - Contract and Lease Management Conditions List Contract (SAP__RE_GEN_LB_RETD01_Q0100)

Model Name: SAP__RE_GEN_LB_RETD01_Q0100
 Model Description: SAP Real Estate: General  Contract and Lease Management Conditions List Contract

Measures ID 00O2TFIS8KH7XMRI9T4T9GVV9 00O2TGHPRZ53NWVHQ8MB5CG4I 00O2TGHPRZ53NWVI8OJIP3BIJ Dimensions See Screen Shot below

Description Condition per Month Cumulated Percentage

Connection
 Live Data Connection to SAP BW/ 4HANA
 Connection name: SAPREBW  /IMO/V_RETD01_Q0100  https://help.sap.com/viewer/
06e872f914a44d77b6c692b0273c a400/1.0.7/en-US/ f420dc0943f34cf2bc2c0619885b e952.html
Mapping/Formula

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3.18.4.8 General - Contract and Lease Management Cash Flow Valuation (SAP__RE_GEN_LB_RETD06_Q0100)

Model Name: SAP__RE_GEN_LB_RETD06_Q0100
 Model Description: SAP Real Estate: General  Contract and Lease Management Cash Flow Valuation

Measures ID 00O2TFIS8KH7XMRJAB4DFG5LP 00O2TFIS8KH7XMRJAB4DFGBX9 00O2TFIS8KH7XMRJAB4DFGI8T 00O2TFIS8KH7XMRJAB4DFGOKD 00O2TFIS8KH7XMRJAB4DFGUVX 00O2TFIS8KH7XMRJAB4DFH17H Dimensions See Screen Shot below

Description Assets Depreciation Interest Repayment Transfer Posting Clearing

Connection
 Live Data Connection to SAP BW/ 4HANA
 Connection name: SAPREBW  /IMO/V_RETD06_Q0100  https://help.sap.com/viewer/
06e872f914a44d77b6c692b0273c a400/1.0.7/en-US/ 9a4078097f9146adaf2bc732029d 0ab3.html
Mapping/Formula

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3.18.4.9 General - Contract and Lease Management Renewal Options (SAP__RE_GEN_LB_RETD21_Q0100)

Model Name: SAP__RE_GEN_LB_RETD21_Q0100
 Model Description: SAP Real Estate: General  Contract and Lease Management Renewal Options

Measures ID 00O2TFIS8KH9NXQTRE8RNKQOU Dimensions See Screen Shot below

Description Counter

Connection
 Live Data Connection to SAP BW/ 4HANA
 Connection name: SAPREBW  /IMO/V_RETD21_Q0100  https://help.sap.com/viewer/
06e872f914a44d77b6c692b0273c a400/1.0.7/en-US/ 67d9013f1baa4d6ba08c6046ea53 d4c2.html
Mapping/Formula

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3.18.4.10 General - Cloud for Real Estate Sites

Model Name: SAP__RE_GEN_LH_ SITE Model Description: SAP Real Estate: General - Sites

Account Dimension ID

Description

Site ID Alpha2Code Base Unit Conversion Factor Country Subdivision Assignable Site Long Name Measurement Standard Text Measurement System Measurement Unit Category Text Measurement Unit Text Country Subdivision Name Country Name Subregion Name Site Status Active Flag Region Name Site Short Name Site Status Text Value

Connection
 Live Data Connection to SAP SCP CF with SSO (Simple URLs)
 Name of SAP HANA View: CV_C_Site
Mapping/Formula  Live Connection  Sites

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3.18.4.11 General - Cloud for Real Estate Building

Model Name: SAP__RE_GEN_LH_ Building Model Description: SAP Real Estate: General - Building

Account Dimension ID

Description

Alpha2Code Alpha3Code Base Unit Conversion Factor Building Short Name Building Address Locator Building Status Building Usage Building Active Status Flag Building ID Latitude Longitude Building Long Name Building Omni Class Name Omni Class Number Ownership Status Site Long Name Measurement Standard Text Measurement System Measurement Unit Category Text

Connection
 Live Data Connection to SAP SCP CF with SSO (Simple URLs)
 Name of SAP HANA View: CV_C_Building
Mapping/Formula  Live Connection  Building

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Model Name: SAP__RE_GEN_LH_ Building Measurement Unit Text Country Subdivision Name Country Name Subregion Name Site Status Active Flag Region Name Site Short Name Site Status Text Value

Connection

3.18.4.12 General - Cloud for Real Estate Workplace

Model Name: SAP__RE_GEN_LH_ WORKPLACE Model Description: SAP Real Estate: General - Workplace

Account Dimension ID
Alpha2Code Alpha3Code Floor ID Floor Level Floor Long Name Floor Short Name Workplace is Enabled Flag Building Short Name

Description

Connection
 Live Data Connection to SAP SCP CF with SSO (Simple URLs)
 Name of SAP HANA View: CV_C_Workplace
Mapping/Formula  Live Connection  Workplace

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Model Name: SAP__RE_GEN_LH_ WORKPLACE Building ID Building Long Name Site Long Name Country Subdivision Name Country Name Subregion Name Region Name Site Short Name Site ID Space ID Space Long Name Space Short Name Space Status is Active Space Status Text Value Space Usage Type Text Value Target Capacity Workplace ID WorkplaceId Occupied Workplace Name Workplace Type Workplace Type Text

Connection

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3.18.4.13 General - Cloud for Real Estate Geo

Model Name: SAP__RE_GEN_LH_ SQM Model Description: SAP Real Estate: General - SQM

Account Dimension ID
Account Dimension ID

Description Description

ComponentId SubcomponentId Measurement Space Net Area Id Measurement Unit Category Text Measurement Unit Category Measurement Unit Text Base Unit Conversion Factor Measurement Unit Measurement Unit Category Text Measurement System Measurement Space Net Area Measurement Space Net Area Text Area Category Area Category Text Area BuildingIRN

Connection  Live Data Connection to SAP SCP
CF with SSO (Simple URLs)  Name of SAP HANA View:
CV_C_Squaremeter
Mapping/Formula  Live Connection  Squaremeter
Mapping  Live Connection  Squaremeter

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Model Name: SAP__RE_GEN_LH_ SQM FloorIRN SpaceIRN SiteIRN

Connection

3.18.4.14 General - Cloud for Real Estate Space

Model Name: SAP__RE_GEN_LH_ SPACE Model Description: SAP Real Estate: General - Space

Account Dimension ID

Description

Space is Enabled Flag Occupancy Proportion Occupant Type Space Long Name Space Short Name Space Status is Active Space Status Text Value Space Usage Type Text Value

Connection
 Live Data Connection to SAP SCP CF with SSO (Simple URLs)
 Name of SAP HANA View: CV_C_Space
Mapping/Formula  Live Connection  Space

3.18.5 Customization 3.18.5.1 Changing Default Variable Setting (Optional)
Default variables are set in the SAP Analytics Cloud Stories. Follow the steps below to change them to the appropriate value according to your requirements.

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Procedure Perform the activities on the SAP Analytics Cloud platform. 1. Log on to the SAP Analytics Cloud. 2. Open the Browser Stories in the main menu. 3. Access the Public folder and find the SAP Analytics Cloud Story. 4. Enter the credentials. The story is displayed. 5. On the menu bar, choose Data Edit Prompts <your datasource> . In the Set Variables for <your
datasource> dialog box, navigate to Display Currency (or other variables you want to adjust), change it to a proper value for the variable and then choose Set. 6. Story data will be refreshed. Result The default variable setting has been configured for the SAP Analytics Cloud Story.
3.18.5.2 Changing Data source (Optional)
Default Data Source can be changed according to your requirements. Follow the steps below to make the update. 1. Log on the SAP Analytics Cloud. 2. Create a new connection with the new data source. 3. Open the Browser Model to find the model whose data source you want to update. 4. Choose Change Data Source to open this model. 5. Choose the new connection that you created on Step 2. 6. Find the new data source and save it. 7. Open the aim story and you can see that the database has been switched successfully. Result The data source has been updated.

3.19 Retail - Model Company Core Retail (RT-MC)
3.19.1 Retail - Model Company Core Retail (RT-MC)
In the retail industry, it is important to have immediate insights into consumer behaviour and business-critical data. This need of insights is spread within the organization and goes from board level through management into the regions to local market managers. The SAP Model Company for Core Retail is offered as a SAP predefined service with all the benefits of this new SAP brand category. It provides a complete SAP S/4HANA Retail for Merchandise Management system landscape for retailers and contains example data and configuration out of the box.

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The SAP Model Company is technically built on a retail specific reference architecture based on additional sample master data, configuration and developments. This is the basis for implementation projects.

SAP Analytics Cloud content is available, visualizing the example data that comes with the deployment. Ticket details and regional components play a significant role when reporting non-aggregated sales data. The data foundation is SAP Customer Activity Repository (SAP CAR), specifically the POS data processed by the POS DTA application. This data structure is the basis for the given story.
3.19.1.1 Architecture and Abstract
The SAP Analytics Cloud content for the Retail Model Company story is based on a live connection to the SAP CAR data with dedicated HANA views. The generated POS sample data set is consumed by all the pages within this story. It shows examples of how a real time view on sales data within different dimensions (region cluster) as well as different use cases (sales by category vs. basket analysis) can be set up.

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3.19.1.2 Stories
The following story is included in the content package:
SAP Model Company Core Retail: Sales Analysis (SAP__RT_MC_RC_SALESANALYSIS)
The story contains the following pages:
 Sales Analytics Homepage This landing page shows one chart from each page together with a generic RSS feed from SAP. The regions views show the regions cluster for the current year where the sales chart shows the top 10 stores. The Basket Analysis chart shows the top 5 weeks turnover, where the second basket view shows the details of one day only with the breakdown to hourly levels for the top five stores.
 Sales Analytics by Region To get insights into regions' performances, this page gives insights into top regions as well as the top 10 material groups. In case you are operating omnichannel, the sales channel split (walk in vs web) is shown as well.
 Sales Analytics by Location The location view shows the top ten locations as heat map as well as indicators on a map. The map allows to drill-down a given area and to set filters with an easy to use selection (lasso) to drill into selections of interest.
 Basket analysis by Week

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The basket Analysis on time dimensions often starts with a week by week view. On this page, you can select multiple weeks to compare the average sales per transaction, net sales amount on best, and slow sellers as well as sales items by weekdays For insights into consumer behaviour that is correlated to special events or local activities, you need to drill-down sales figures to hourly level. Average sales by the hour allows you to understand the customer clusters based on their day plan as well as to understand at what time of day high priced items are sold better.

3.19.1.3 Models

As already mentioned, this content package is based on a live connection to SAP CAR (SAP HANA). The following models are connected to a corresponding HANA calculation as follows:

SAC Model name SAP__RT_MC_RC_SALESANALYSIS SAP__RT_MC_RC_BASKETANALYSIS SAP__RT_MC_RC_BASKET_PER_HOUR

SAP CAR - SAP HANA calculation view name SALESANALYSIS_VIEW1 BASKET_ANALYSIS BASKET_ANALYSIS_PER_HOUR

The documentation of the underlying HANA views of the above-mentioned SAP Analytics Cloud models is part of the documentation delivered with the SAP Model Company for Core Retail.

3.20 Retail - Model Company Fashion for Vertical Business
3.20.1 Retail - Model Company Fashion for Vertical Business
In the retail industry it is key to have immediate insights into consumer behaviour and business critical data. This need of insights is spread within the organization and goes from board level, through management into the regions and to local market managers. The SAP Model Company for Core Retail is offered as a "SAP predefined service" with all benefits of this new SAP brand category. It provides a complete SAP S/4HANA Retail for Merchandise Management system landscape for retailers and contains example data and configuration out of the box. The SAP Model Company is technically built on a retail specific reference architecture based on additional sample master data, configuration and developments. This is the basis for implementation projects.

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The user interface for analytical content is the SAP Analytics Cloud consuming example data that comes with the deployment. In this context reporting on non-aggregated sales data, ticket details, regional components play a significant role. The data foundation allows to make those kinds of reporting based on SAP Customer Activity Repository (SAP CAR), and the POS data that are processed by the POS DTA application. This data structure is the basis for the given story.
3.20.1.1 Architecture and Abstract
The SAP Analytics Cloud for the Model Company story is set up as live connection to the SAP CAR data with dedicated HANA views. The generated POS sample data set is consumed for all sites within this story and shows examples of how a real time view on sales data within different dimensions (region cluster) as well as different use cases (sales by division vs. shopping bag analysis) can be set up.

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The colored objects are documented in this chapter.

3.20.1.2 Stories
The following story is included in the content package:
SAP Model Company Fashion for Vertical Business: Sales Analysis (SAP__RT_MC_FVB_SALESANALYSIS)
The story contains the following pages:
 "Sales Analytics Homepage" This landing page shows one chart from each page together with a generic RSS feed from SAP. The regions views show the regions cluster. The Sales Analysis by Gender chart visualizes the share within the article hierarchy node gender. Sales Analysis by Product shows the ratio of Net Sales and Gross Margin % by top 10 products. The Affinity Analysis by Top 15 Products visualizes the affinity by product and shows key performance indicators and key attributes of those. The affinity is telling you in percentage how often the listed top 15 products were sold together in the same shopping bag. The right section shows a RSS feed for SAP related information. This would typically be used to show Retail specific content or content from the own business.
 "Sales Analytics by Region & Location" To get insights into regions performances this page gives insights into top regions as well as the top 10 article hierarchy nodes on the level gender. In case you are operating omnichannel the sales channel split (walk in vs web) is shown as well. The location hierarchy can drill down to the lowest level and shows the top ten locations as heat map as well as indicators on a map. The map allows to drill down a given area and to set filters with an easy use selection (lasso) to drill into selections of interest. The lower left chart brings the top 10 gender nodes into relation to the regions to visualize their dependencies and ratios. How is a gender node performing in specific region?
 "Sales Analysis by Division" The upper left chart shows the share of gross margin % per article hierarchy node gender.

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The upper middle chart visualizes the year over year ratio of gross margin % per top 15 article hierarchy nodes which is preselected to gender. The navigation can be adjusted to show this ratio for other nodes of the article hierarchy. The upper right chart splits up the net sales per order channel. The given setup sets all POS related sales as store sales and all sales orders as web channel. The lower column & line chart gives an overview how gross margin % in dependency to net sales evolves across the different article hierarchy nodes.
 "Sales Analysis by Product" Sales Analysis by Product adds an additional indicator to the main KPIs ­ Average Sales Price and Discounts. The charts on top identify the top and slow selling 5 products within selected nodes of the article hierarchy. Furthermore, the top 5 analyzing colors and brands. The chart in the middle provides a weekly comparison of the net sales revenue originally set across all the dates and helps to select individual weeks in order to slice down the time selection.
 "Sales Analysis by Shopping Bag" Sales Analysis by Shopping Bag comes with the net sales revenue, cost, average sales price, discounts and number of products per transaction as KPIs. The POS data is shown at a shopping bag level and discovers the affinity relationship of items across various attributes. The analysis helps to better understand what items occur to be purchased together and predict shopping behaviour of end customers. This gives you insights on how to set the marketing strategy to drive revenue.

3.20.1.3 Models

This content package is based on a live connection to SAP CAR (SAP HANA). The following models are connected to a corresponding HANA calculation as follows:

SAC Model Name SAP__RT_MC_FVB_SALESANALYSIS_V2 SAP__RT_MC_FVB_AFFINITYANALYSIS_AREPORT SAP__RT_MC_FVB_AFFINITYANALYSIS_CAT_CMP

SAP CAR - SAP HANA Calcination view name FSH_SALESANALYSIS_VIEW AFNTY_REPORT FSH_SALESANALYSIS_VIEW_NINETY_DAYS_HIER5

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SAC Model Name SAP__RT_MC_FVB_AFFINITYANALYSIS_CAT_CMP_2 SAP__RT_MC_FVB_SALESANALYSIS_DRIVER SAP__RT_MC_FVB_SALESANALYSIS_DRAG SAP__RT_MC_FVB_SALESANALYSIS_CROSSSALES

SAP CAR - SAP HANA Calcination view name FSH_SALESANALYSIS_VIEW_NINETY_DAYS_HIER5 FSH_SALESANALYSIS_VIEW_NINETY_DAYS FSH_SALESANALYSIS_VIEW_NINETY_DAYS FSH_SALESANALYSIS_VIEW_NINETY_DAYS_CROSSSALES

The documentation of the underlying HANA views of the above-mentioned SAP Analytics Cloud models is part of the documentation delivered with the SAP Model Company for Core Retail.

3.21 Retail - POS Analysis for Retail 3.21.1 Architecture and Abstract
Analyze point-of-sale (POS) transactions ­ all in one place, from anywhere, and in real time with the SAP Data Warehouse solution.

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3.21.2 POS Analysis for Retail for SAP Data Warehouse Cloud (SAP__RT_POS_ANALYSIS)

The story "POS Analysis for Retail for SAP Data Warehouse Cloud" contains the following pages:
Page Cockpit:
Analyze point-of-sale (POS) transactions in a condensed overview of your current business: Compare year-todate values (YTD) by last-year-to-date values (LYTD). Immediately understand the TOP and FLOP merchandise categories and sites for each KPI.
Compare net sales amount, sales quantity and number of transactions between last year and this year over month.
Included KPIs are net sales amount, sales quantity, number of transactions and average basket value.

POS Sales Analysis:
Analyze data of the current and last year by countries, regions and cities. Directly understand the TOP and FLOP merchandise categories, products, and sites.
Included KPIs are net sales amount, sales quantity, number of transactions, average basket value and average number of items per basket.
Store Analysis
Drill into the shopping basket to the sales hour per site, to get a detailed understanding of the consumer behavior. Review best and slow seller. Get an overview of the traffic load per workstation, operator and merchandise category for number of transactions.
Data Connectivity
Based on SAP Data Warehouse Cloud live connection (local tables).

Measure Name Average # of Items per Basket Average # of Items per Basket YTD Average # of Items per Basket LYTD
Average Basket Value Average Basket Value YTD Average Basket Value LYTD

Type Calculated Measure
Calculated Measure

Formula/Properties [Sales Quantity (Actual, YTD, LYTD)] / [# Transactions (Actual, YTD, LYTD)]
[Sales Amount (Actual, YTD, LYTD)] / [# Transactions (Actual, YTD, LYTD)]

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3.21.3 Models

The story is using the following Data Warehouse Cloud models. It is based on a live connection to the SAP Data Warehouse Cloud system. Setup the connection with the name SAPDWC if not already available.
You can go to the SAP Data Warehouse Cloud content documentation for details.

Business Name SAP POS Analysis Report

Technical Model Name SAP_POS_L_Analysis

Connection - SAPDWC

3.22 Retail - Omnichannel Article Availability and Sourcing
3.22.1 Architecture
The SAP Analytics Cloud content for the Omnichannel Article Availability and Sourcing (OAA) stories are based on a SAP BW live connection to SAP Customer Activity Repository (CAR) data with dedicated CDS views exposed via BICS/InA interface.

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3.22.2 Stories
The sourcing overview and detail, live and demo stories are included in the content package: SAP Retail Omnichannel Article Availability and Sourcing. The documentation of the underlying dimensions and measures of the SAP Analytics Cloud models mentioned below is part of the documentation delivered with SAP CARAB 4.0 FPS01. In addition, the chart details are described there as well.

3.22.2.1 OAA - Sourcing Overview (SAP__RT_OAA_SOURCING_OVERVIEW_LIVE)

Name: SAP__RT_OAA_SOURCING_OVERVIEW_LIVE

Description: SAP Retail: OAA - Sourcing Overview

The story provides a list of analyses that gives an overview of how successful the sourcing was in your online store. The analyses is grouped by tab. The data analysed is always restricted to the sales channel. You can select the time frame you set (sales channel story filter, model: SAP__RT_OAA_LB_SALESCHANNEL and the time frame page filter, model: SAP__RT_OAA_LB_DATE).

Page: Sourcing Success

Charts

Title

Models Used

Sourcing Key Figures

SAP__RT_OAA_LB_TRACEHEADER

SAP__RT_OAA_LB_CARTHEADER

Sourcing Success Rate Carts with Successful Sourcing, Converted to Orders Sourcing Success Rate: Details Page: Failed Sourcing Charts Title Sourcing Key Figures Total Value for Carts with Failed Sourcing Failed Sourcing per Country and Region (Top 5) Page: Successful Sourcing Charts Title Sourcing Key Figures

SAP__RT_OAA_LB_TRACEHEADER SAP__RT_OAA_LB_TRACEHEADER SAP__RT_OAA_LB_TRACEHEADER
Models Used SAP__RT_OAA_LB_TRACEHEADER SAP__RT_OAA_LB_CARTHEADER SAP__RT_OAA_LB_TRACEHEADER
Models Used SAP__RT_OAA_LB_TRACEHEADER

SAP__RT_OAA_LB_SOURCINGRESULT

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Name: SAP__RT_OAA_SOURCING_OVERVIEW_LIVE Total Value for Carts with Successful Sourcing Cart-to-Order Conversion Rate Carts with Successful Sourcing, Not Converted to Orders Top 5 Sources Used in Sourcing Result

SAP__RT_OAA_LB_CARTHEADER SAP__RT_OAA_LB_TRACEHEADER SAP__RT_OAA_LB_TRACEHEADER SAP__RT_OAA_LB_SOURCINGRESULT

3.22.2.2 OAA - Sourcing Details (SAP__RT_OAA_SOURCING_DETAILS_LIVE)

Name: SAP__RT_OAA_SOURCING_DETAILS_LIVE

Description: SAP Retail: OAA - Sourcing Details

The story provides a list of analyses that provide further insight into the reasons for failed sourcing. The analyses are grouped by tab. The data analysed is always restricted to the sales channel you select and the time frame you set (sales channel story filter, model: SAP__RT_OAA_LB_SALESCHANNEL and time frame page filter, model: SAP__RT_OAA_LB_DATE).

Page: Sourcing Success

Charts

Title

Models Used

Sourcing Key Figures

SAP__RT_OAA_LB_TRACEHEADER

Sources Used in Sourcing Result, per Priority

SAP_RT_OAA_LB_SOURCINGPRIO

Top 5 Sources Used in Sourcing Result, on Item Level

SAP__RT_OAA_LB_SOURCINGRESULT

First Successful Business Objective

SAP__RT_OAA_LB_SOURCINGBO

Page: Business Objectives

Charts

Title

Models Used

Business Objective Success

SAP__RT_OAA_LB_SOURCINGBO

Failure Reasons

SAP__RT_OAA_LB_BOFAILUREREASON

Page: Sources: Cart Level

Charts

Title

Models Used

Sourcing Key Figures

SAP__RT_OAA_LB_TRACEHEADER

Top 5 Sources Not Used in Sourcing Result (Successful Sourcing Only)

SAP__RT_OAA_LB_SOURCESTATUS

Top 5 Sources Filtered Out by Distance

SAP__RT_OAA_LB_SOURCESTATUS

Top 5 Blocked Sources

SAP__RT_OAA_LB_SOURCESTATUS

Top 5 Sources Filtered Out by Capacity

SAP__RT_OAA_LB_SOURCESTATUS

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Name: SAP__RT_OAA_SOURCING_DETAILS_LIVE

Page: Sources: Details

The page content depends on the selected source (page filter, model: SAP__RT_OAA_LB_SOURCESTATUS).

Charts

Title

Models Used

Sourcing Key Figures

SAP__RT_OAA_LB_SOURCINGRESULT

Source Prioritization

SAP__RT_OAA_LB_SOURCEPRIORITY

Reasons Why Source Was Not Considered in Sourcing Call SAP__RT_OAA_LB_SOURCESTATUS

Page: Articles Not Available

Charts

Title

Models Used

Top 5 Articles Not Available

SAP__RT_OAA_LB_ARTICLENOTAVL

Top 5 Articles Not Available by Source (using filter: Source) SAP__RT_OAA_LB_ARTNOTAVLDETAIL

Top 5 Sources Where Article is Not Available (using filter: Ar SAP__RT_OAA_LB_ARTNOTAVLDETAIL ticle)

Page: Articles Not Avail. In Time

The page content depends on the selected Business Objective and Sourcing Success (page filter, model: SAP__RT_OAA_LB_ARTNOTAVLINTIME)

Charts
Title
Top 5 Articles Not Available in Time
Top 5 Articles Not Available in Time by Source (using filter: Source)
Top 5 Sources Where Article is Not Available in Time (using filter: Article)

Models Used SAP__RT_OAA_LB_ARTNOTAVLINTIME SAP__RT_OAA_LB_ARTNOTAVLTMEDET
SAP__RT_OAA_LB_ARTNOTAVLTMEDET

Page: Consignments

The page content depends on the selected Business Objective and Sourcing Success (page filter, model: SAP__RT_OAA_LB_BOCONSIGNEXCEED)

Charts Title Carts Where Allowed No. of Consignments Exceeded Allowed No. of Consignments

Models Used SAP__RT_OAA_LB_BOCONSIGNEXCEED SAP__RT_OAA_LB_BOCONSIGNMENT

3.22.3 General Remarks
If you want to see the models a story is based on, use the Save as PDF functionality in the story, including the attachment.

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Describe how to Assign to #.
 Note
*Other dimensions are public.
3.23 SAP Retail: Replenishment Planning
3.23.1 Abstract and Architecture
The SAP Analytics Cloud content for the Replenishment Planning story helps retailers analyze their replenishment data with reference to order dates over certain time periods to identify patterns and monitor trends that influence their business. This story is based on a live connection to the SAP Customer Activity Repository data with dedicated HANA views. Alerts indicate that certain aspects of the SAP Replenishment Planning processes are not in a good condition and need urgent attention. Alerts can be triggered by the occurrence of certain exceptions, evolvement of KPIs beyond threshold, or other unexpected situations. Based on alerts, planners check the details of orders to make calculated decisions on the order plan items and change them, if necessary. To support the process, this story has the Orders model, which not only provides an analytical overview of changed order quantities and items, it also offers detailed analyses of order quantities and rate of changed items based on the order date for product locations. Planners can further use this model in combination with the Sales and Forecasts model in the Unified Demand Forecast story to analyze how well the order quantities compare with the actual sales and forecasts.

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3.23.2 Replenishment Planning (SAP__RT_RPL_REPLENISHMENTPLANNING_LIVE)

This story allows planners to assess the overall situation with regards to order plan items, such as, rate of changed items, proposed order quantity, changed order quantity, additional order quantity, and stocks and drill down to details (by location, by product, and by order date) and take necessary actions where required.
In this story, the following page filters apply to every chart:

Page Filters Location Hierarchy Product Hierarchy
Supplier Replenishment Type Date

Description
Location hierarchy - filter by region/city/location
Product hierarchy - filter by product category down to the products
Suppliers - filter by suppliers
Replenishment type - filter by replenishment types
Date - filter by Date (A date range to include 90 days in the past and 30 days in the future is set as default)

The story consists of several charts. They are organized in three sections as explained below.

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 Changed Order Quantities and Items section  Order Quantities chart  Changed Items (%) chart

Chart Description Order Quantities
Changed Items (%)

Type

Description

Comparison - Combination Column and A planner can see and compare the

Line

quantities proposed by the system with

the changed order quantities, additional

order quantities and stocks on specific

dates, over a time period, as lines on

the chart and the percentage of

changed items per day are displayed as

columns. This chart allows to quickly

visualize big changes in order quanti

ties.

Distribution - Heat Map

The heat map allows a planner to quickly identify product locations with high or low order change rates.

 Detailed Analysis of Order Quantities and Changed Items section  [Measure] by [Dimension 1] chart  [Measure] by [Dimension 2] chart
 For these two charts, the user can display information related to one of the following measures:  Changed Order Quantity (Cumulative)  Positive Order Adjustments  Negative Order Adjustments  Changed Items (%)  Additional Order Quantity (Cumulative)  Proposed Order Quantity (Cumulative)
The selected measure is applied to both the charts in the section.

Chart Description

Type

[Measure] by [Dimension 1] Trend - Line

[Measure] by [Dimension 2] Comparison - Bar/Column

Description

Dimensions

A planner can look at differ ent measures at a product or location hierarchy node for a time period.

[Dimension 1] is either Prod uct Hierarchy or Location Hi erarchy

A planner can analyze spe [Dimension 2] is either Prod cific products or locations for uct or Location measures on individual order dates for a time period. Prod uct and location results are ranked (top or bottom) for more clarity. This chart al lows drill down to understand exact locations with discrep ancies in product quantities.

 Comparison of Changed Order Quantities for Different Order Dates section  Difference in Changed Order Quantities by Location Hierarchy chart

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 Difference in Changed Order Quantities by Product Hierarchy chart

Chart Description

Type

Difference in Changed Order Quantities by Location Hier archy

Comparison - Bar/Column

Difference in Changed Order Comparison - Bar/Column Quantities by Product Hierar chy

Description

Dimensions

A planner can analyze the dif Difference between two

ference in changed order

dates (Order Date 1 and Or

quantities between two dates der Date 2) is calculated

at a location hierarchy node.

A planner can analyze the dif Difference between two

ference in changed order

dates (Order Date 1 and Or

quantities between two dates der Date 2) is calculated

at a product hierarchy node.

The measures defined in this story are listed in the following table:

Measure Name Changed Items (%)

Type Calculated

Changed Order Quantity for Order Date Restricted 1

Changed Order Quantity for Order Date Restricted 2

Difference in Changed Order Quantities Calculated Between Order Dates

Formula/Properties
([Total Number of Changed Orders] / ([Total Number of Orders]) * 100
Measure: Total Number of Changed Or ders
Input Controlled Dimension: Order Date
Input Control: Order Date 1 (By mem ber, single selection)
Measure: Total Number of Changed Or ders
Input Controlled Dimension: Order Date
Input Control: Order Date 2 (By mem ber, single selection)
[#Changed Order Quantity for Order Date 1] - [#Changed Order Quantity for Order Date 2]

Calculated measures similar measures 2,3, and 4 in the above table are created for the following: - Additional Order Quantity (Cumulative) - Negative Order Adjustments - Positive Order Adjustments - Proposed Order Quantity (Cumulative) - Changed Items (%)

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3.23.3 Models 3.23.3.1 SAP CARAB: Orders (SAP__RT_RPL_LH_ORDERS)

Model Name: SAP__RT_RPL_LH_OR

DERS

Connection

- Model Description: SAP CARAB: Or ders - Planning Enabled: No Measures ID AdditionalOrderQuantity AdjustedOrderQuantity NegativeOrderAdjustmentQuantity PositiveOrderAdjustmentQuantity ProposedOrderQuantity TotalNumberOfAdjustedOrders TotalNumberOfOrders OrderChangeRate
Dimensions Name OrderDate ProductHierarchyChildNode LocationHierarchyChildNode ProductHierarchyChildNodeName
ProductHierarchyParentNodeName
ProductHierarchyParentNode Product ProductName MRPType MRPTypeName LocationHierarchyChildNodeName
LocationHierarchyParentNode

- Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenishment.Order.Orders view

Description

Aggregation(A)/Formula(F)

Additional Order Quantity (Cumulative) A: SUM

Changed Order Quantity (Cumulative) A: SUM

Negative Order Adjustments

A: SUM

Positive Order Adjustments

A: SUM

Proposed Order Quantity (Cumulative) A: SUM

Total Number of Changed Orders

A: SUM

Total Number of Orders

A: SUM

Changed Items (%)

F: ([Total Number of Changed Orders] / ([Total Number of Orders]) * 100

Description Order date Product hierarchy child node Location hierarchy child node Name of the product hierarchy child node Name of the product hierarchy parent node Product hierarchy parent node Product Product name Replenishment type Replenishment type description Name of the location hierarchy child node Location hierarchy parent node

Mapping

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Model Name: SAP__RT_RPL_LH_OR

DERS

Connection

LocationHierarchyParentNodeName

Name of the location hierarchy parent node

Supplier

Supplier

SupplierName

Supplier name

Additional Notes about the model

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) These are input fields that must be entered by the user to execute the SAC story.

3.23.3.2 SAP CARAB: Stocks (SAP__RT_RPL_LH_STOCKS)

Model Name: SAP__RT_RPL_LH_Stocks

Connection

- Model Description: SAP CARAB: Or ders - Planning Enabled: No
Measures ID Stocks Dimensions Name Date Additional Notes about the model

- Live data connection to SAP HANA: SAPRTCARAB - - sap.is.retail.analytics.ddf.replenishment.Reporting.Stocks view

Description Stocks
Description Date

Aggregation(A)/Formula(F) A: SUM
Mapping

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Model Name: SAP__RT_RPL_LH_Stocks

Connection

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) These are input fields that must be entered by the user to execute the SAC story.

3.23.4 Known Issues

Issue
The measure label for Changed Items (%) is not translated in any other language and available only in English

Solution
To be fixed by SAC Translation service as they do not support translation of the Calculated Measures created in a model based on HANA Live Connection.

3.24 SAP Retail: Replenishment Planning and Unified Demand Forecast Dashboard
3.24.1 Architecture and Abstract
The SAP Analytics Cloud content for the Replenishment Planning and Unified Demand Forecast Dashboard story helps retailers analyze forecast data over certain time periods to identify patterns and monitor trends that influence the business. The story is based on a live connection to the SAP Customer Activity Repository data with dedicated HANA views.
Alerts are collections of one or more similar exceptions that are very important and need urgent attention. Based on alerts, planners check planners check the details of orders as well as sales and forecast details to make calculated judgements on order plan items and forecasted quantities and to change them, if necessary. To aid the process, this story has the Dashboard model, which provides an analytical overview of changed order quantities and items, actual sales and system forecasts along with the out-of-stock rate for product locations, and alerts by alert type based on products and locations.

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3.24.2 Retail: Replenishment Planning and Unified Demand Forecast scenario (SAP__RT_RPL_UDF_DASHBOARD_LIVE)

This story is designed to give the planners the overview of the key retail KPI's related to replenishment orders, sales forecasts, and alerts.
In this story, the following page filters apply to the widget:

Page Filters Location Hierarchy Product Hierarchy Replenishment Type Date
This story consists of the following charts:

Description
Filter by region/city/location
Filter by product category down to the products
Filter by replenishment type
Filter by date on Order Quantities and Forecasts (A date range to include 90 days in the past and 30 days in the fu ture is set as default)

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Page Filters Order Quantities
Forecasts Alerts by Alert Type
Alerts by Product Alerts by Location

Description

Comparison - Combination Column and A planner can see and compare the

Line

quantities proposed by the system with

the changed order quantities, additional

order quantities and stocks on specific

dates, over a time period, as lines on

the chart and the percentage of

changed items per day are displayed as

columns. This chart allows to quickly

visualize big changes in order quanti

ties.

Comparison - Combination Column and A planner can assess the overall situa

Line

tion with regards to actual sales and

system forecasts by looking at out-of-

stock rate in product locations over a

time period.

Column Chart

A planner can see the number of alerts as columns against the alert types.

 Note

Only alerts that are new or in proc ess for the product locations are considered.

Marimekko Chart Marimekko Chart

A planner can see products with alerts based on alert types.
A planner can see locations with alerts based on alert types.

3.24.3 Models 3.24.3.1 Forecasts (SAP__RT_UDF_LH_FORECAST

Model Name: SAP__RT_UDF_LH_FORECAST - Model Description: SAP CARAB: Sales and Forecasts - Planning Enabled: No

Dimensions ID Date

Description Date

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Connection - Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/SalesForecast view
Mapping/Formula
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Model Name: SAP__RT_UDF_LH_FORECAST

Connection

LocationHierarchyChildNode

Location hierarchy child node

LocationHierarchyChildNodeName

Name of the location hierarchy child node

ProductHierarchyChildNode

Product hierarchy child node

ProductHierarchyChildNodeName

Name of the product hierarchy child node

LocationHierarchyParentNode

Location hierarchy parent node

LocationHierarchyParentNodeName

Name of the location hierarchy parent node

ProductHierarchyParentNode

Product hierarchy parent node

ProductHierarchyParentNodeName

Name of the product hierarchy parent node

Location

Location

LocationName

Name of the location

OrderChannel_ATTRIBUTE

Order channel

OrderChannelName

Name of the order channel

DistributionChannel_ATTRIBUTE

Distribution channel

DistributionChannelName

Name of the distribution channel

SalesOrganization_ATTRIBUTE

Sales organization

SalesOrgDescription

Description of the sales organization

MRPType

Replenishment type

MRPTypeName

Replenishment type description

Product

Product

ProductName Additional Notes About the Model

Name of the product

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Model Name: SAP__RT_UDF_LH_FORECAST
The model contains the following varia bles:
- SAP Client (P_SAPClient)
- Logical System (P_LogicalSystem)
- Product Hierarchy (P_ProductHierar chy)
- Location Hierarchy (P_LocationHierar chy)
- Time Series Source (P_TSSource)
These are input fields that must be en tered by the user to execute the SAC story.

Connection

3.24.3.2 Orders (SAP__RT_RPL_LH_ORDERS)

Model Name: SAP__RT_UDF_LH_ORDERS - Model Description: SAP CARAB: Orders - Planning Enabled: No

Dimensions ID OrderDate LocationHierachyChildNode ProductHierarchyChildNode LocationHierarchyParentNode ProductHierarchyParentNode Supplier Location_ATTRIBUTE Product_ATTRIBUTE

Description Order Date
Location hierarchy child node Product hierarchy child node Location hierarchy parent node Product hierarchy parent node Supplier Location Product

Connection
- Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/ReplenishmentOrder view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_ORDERS

MRPType

Replenishment Type

Additional Notes About the Model

Connection

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) These are input fields that must be entered by the user to execute the SAC story.

3.24.3.3 Stocks

Model Name: SAP__RT_UDF_LH_STOCKS - Model Description: SAP CARAB: Stocks - Planning Enabled: No

Dimensions ID Date LocationHierachyChildNode ProductHierarchyChildNode LocationHierarchyParentNode ProductHierarchyParentNode Location_ATTRIBUTE Product_ATTRIBUTE MRPType Additional Notes About the Model

Description Date
Location hierarchy child node Product hierarchy child node Location hierarchy parent node Product hierarchy parent node Location Product Replenishment Type

Connection
- Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/ReplenishmentOrder view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_STOCKS

Connection

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) These are input fields that must be entered by the user to execute the SAC story.

3.24.3.4 Out of Stock (UDF)

Model Name: SAP__RT_UDF_LH_OUTOFSTOCK - Model Description: SAP CARAB: OutofStock (UDF) - Planning Enabled: No

Dimensions ID Date LocationHierachyChildNode ProductHierarchyChildNode LocationHierarchyParentNode ProductHierarchyParentNode Location Product MRPType OrderChannel_ATTRIBUTE DistributionChannel_ATTRIBUTE SalesOrganization_ATTRIBUTE SalesOrgDescription

Description Date
Location hierarchy child node Product hierarchy child node Location hierarchy parent node Product hierarchy parent node Location Product Replenishment Type Order channel Distribution channel Sales organization Description of the sales organization

Connection - Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/OutOfStock view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_OUTOFSTOCK Additional Notes About the Model

Connection

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) - Time Series Source (P_TSSource) These are input fields that must be entered by the user to execute the SAC story.

3.24.3.5 Sales

Model Name: SAP__RT_UDF_LH_SALES - Model Description: SAP CARAB: SALES - Planning Enabled: No

Dimensions ID Date LocationHierachyChildNode ProductHierarchyChildNode LocationHierarchyParentNode ProductHierarchyParentNode Location Product MRPType OrderChannel_ATTRIBUTE DistributionChannel_ATTRIBUTE SalesOrganization_ATTRIBUTE

Description Date
Location hierarchy child node Product hierarchy child node Location hierarchy parent node Product hierarchy parent node Location Product Replenishment Type Order channel Distribution channel Sales organization

Connection - Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/UnitSales view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_SALES

SalesOrgDescription

Description of the sales organization

Additional Notes About the Model

Connection

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) - Time Series Source (P_TSSource) These are input fields that must be entered by the user to execute the SAC story.

3.24.3.6 Alerts

Model Name: SAP__RT_UDF_LH_ALERTS - Model Description: SAP CARAB: Alerts - Planning Enabled: No

Dimensions ID CreatedOn LocationHierachyChildNode ProductHierarchyChildNode LocationHierarchyParentNode ProductHierarchyParentNode Location Product_ATTRIBUTE MRPType OrderChannel_ATTRIBUTE DistributionChannel_ATTRIBUTE

Description Created On
Location hierarchy child node Product hierarchy child node Location hierarchy parent node Product hierarchy parent node Location Product Replenishment Type Order channel Distribution channel

Connection - Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/Alerts view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_ALERTS

SalesOrganization_ATTRIBUTE

Sales organization

AlertStatusID

Alert Status

AlertTypeID

Alert Type

Additional Notes About the Model

Connection

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) These are input fields that must be entered by the user to execute the SAC story.

3.25 Rural Sourcing Management (RSM)
3.25.1 General Remarks
The SAP Rural Sourcing Management content provides two independent analytical scenarios:  Cotton Reports  Palm Oil Reports The two scenarios will be explained individually in the following chapters.
3.25.2 Architecture and Abstract
Cotton Reports
The SAP Rural Sourcing Management provides cotton production and training details of smallholder farmers for the perspectives of cotton companies, sustainability standards, government entities, and smallholder farmers. Each perspective is visualized through an according SAP Analytics Cloud story which base on models that apply data from local files. These stories are then presented as a dashboard in a digital boardroom.

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Architecture

Palm Oil Reports
The SAP Rural Sourcing Management provides palm oil production and performances analysis for the perspectives of palm oil companies, smallholder farmer groups and individuals. Each analysis is visualized through an according SAP Analytics Cloud story which base on models that apply data from local files.

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Architecture

3.25.3 Dashboard
Cotton Reports
SAP Rural Sourcing Management: Dashboard (SAP_RSM_Dashboard) Cotton Company Regional Productivity and Ginning Operations Training Information Smallholder Farmer Information Smallholder Farmer Data Cotton Smallholder Farmer Cotton Smallholder Farmer Report Cotton Sustainability Standard Company Information Sustainability Criteria Rating Exclusion Criteria and Input Supply Cotton Government Entities
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SAP Rural Sourcing Management: Dashboard (SAP_RSM_Dashboard) Productivity and Input Supplies Regional Training Information
Palm Oil Reports
SAP_RSM_PALM_Dashboard > Palm Oil Operations Production Overview Process Traceability Process Traceability Farmers Production Traceability Transfers Analysis FFB Transfers Transfers Table >Palm Oil Performances Field usage and productivity Farmers Information Workforce Information Farmer Information Table Entities Efficiency Block Productivity Unit Comparisons
3.25.4 Stories
 SAP RSM: General - Cotton Report Company (SAP__RSM_GEN_COTTONREPORTCOMP)  SAP RSM: General - Cotton Report Government Entity (SAP__RSM_GEN_COTTONREPORTGOVENT)  SAP RSM: General - Cotton Report Smallholder Farmer (SAP__RSM_GEN_COTTONREPORTSMFARM)  SAP RSM: General - Cotton Report Sustainability Standard (SAP__RSM_GEN_COTTONREPORTSUSTST)  SAP RSM: General - Palm Oil Operations (SAP__RSM_GEN_PALMOPERATIONS)  SAP RSM: General - Palm Oil Performances (SAP__RSM_GEN_PALMPERFORMANCES)

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3.25.4.1 General - Cotton Report Company (SAP__RSM_GEN_COTTONREPORTCOMP)

Measure Name

Type

Accumulated Amount of Input Supplies Calculated Measure

Agricultural Training

Calculated Measure

Ginning Performance

Calculated Measure

Formula/Properties
[SAP__RSM_GEN_IM_COTTON FARMER:Judo_5_EC_]
+[SAP__RSM_GEN_IM_COTTON FARMER:Ester_20_SC_]
+[SAP__RSM_GEN_IM_COTTON FARMER:Snowmethrin]+ [SAP__RSM_GEN_IM_COTTON FARMER:Snowkill]
+[SAP__RSM_GEN_IM_COTTON FARMER:Glyphon_480]
+[SAP__RSM_GEN_IM_COTTON FARMER:Treated_Cotton_Seed]
+[SAP__RSM_GEN_IM_COTTON FARMER:Untreated_Cotton_Seed]
+[SAP__RSM_GEN_IM_COTTON FARMER:Agrofeed_NPK
[SAP__RSM_GEN_IM_COTTON FARMER:Basic_Agricult_5jp1305y4n]
+[SAP__RSM_GEN_IM_COTTON FARMER:Conservation_A_3g215t4w5f]
+[SAP__RSM_GEN_IM_COTTON FARMER:Integrated_Pla_2061510546]
+[SAP__RSM_GEN_IM_COTTON FARMER:Proper_Use_and_Stor age_of_Pesticides]
+[SAP__RSM_GEN_IM_COTTON FARMER:Cotton_Storage]
[SAP__RSM_GEN_IM_COTTONRE GIONAL:Lint_Cotton_Production]
/[SAP__RSM_GEN_IM_COTTONRE GIONAL:Seed_Cotton_Production]

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Measure Name Number of Female Participants

Type Calculated Measure

Number of Male Participants

Calculated Measure

Rejected Seed Cotton per Farmer

Calculated Measure

Number of Smallholder Farmers

Aggregation

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Formula/Properties
[SAP__RSM_GEN_IM_COTTONTRAIN ING:Number_of_Trained_Fe male_Lead_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Number_of_ReTrained_Fe male_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Number_of_Trained_Fe male_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Number_of_ReTrained_Fe male_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Num ber_of_ReTr_2c6ya06d4s]+ [SAP__RSM_GEN_IM_COTTONTRAIN ING:Number_of_Trai_3v1n5d03d1]
[SAP__RSM_GEN_IM_COTTONTRAIN ING:Num ber_of_Trained_Male_Lead_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Number_of_Re Trained_Male_Lead_Farmer]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Num ber_of_Trained_Male_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Number_of_Re Trained_Male_Farmers]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Num ber_of_Trai_3w701305h1]
+[SAP__RSM_GEN_IM_COTTON TRAINING:Num ber_of_ReTr_3j4v4y04zi]
[SAP__RSM_GEN_IM_COTTON FARMER:Rejected_Seed_Cotton]
/[#Number of Smallholder Farmers]
[COUNT DIMENSION] Farmer
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3.25.4.2 General - Cotton Report Government Entity (SAP__RSM_GEN_COTTONREPORTGOVENT)

Measure Name Total Number of Female Participants

Type Calculated Measure

Total Number of Male Participants

Calculated Measure

Formula/Properties
[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Trained_Fe male_Lead_Farmers]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Num ber_of_ReTr_4n634y05v3]+ [SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Trained_Fe male_Farmers]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_ReTrained_Fe male_Farmers]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Trai_2p601q01x2]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_ReTr_72l5k05372]
[SAP__RSM_GEN_IM_COTTONTRAI NADD:Num ber_of_Trained_Male_Lead_Farmers]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Re Trained_Male_Lead_Farmer]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Trained_Male_Farm ers]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Re Trained_Male_Farmers]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_Trai_r4k2s04o29]
+[SAP__RSM_GEN_IM_COTTONTRAI NADD:Number_of_ReTr_231c4n0j3q]

Content Package User Guide Industries

PUBLIC

819

3.25.4.3 General - Cotton Report Smallholder Farmer (SAP__RSM_GEN_COTTONREPORTSMFARM)
No calculated key figures in this story.

3.25.4.4 General - Cotton Report Sustainability Standard (SAP__RSM_GEN_COTTONREPORTSUSTST)

Measure Name Warning

Type Calculated Measure

Formula/Properties
IF([SAP__RSM_GEN_IM_COTTONSUS TINPU:Dosage_per_Hec tare]>[SAP__RSM_GEN_IM_COTTON SUSTINPU:Recommended_Dos age_per_Hectare],1 ,0)

3.25.4.5 General - Palm Oil Operations (SAP__RSM_GEN_PALMOPERATIONS)
No calculated key figures in this story.

3.25.4.6 General - Palm Oil Performances (SAP__RSM_GEN_PALMPERFORMANCES)

Measure Name Warning

Type Calculated Measure

Formula/Properties
IF([SAP__RSM_GEN_IM_COTTONSUS TINPU:Dosage_per_Hec tare]>[SAP__RSM_GEN_IM_COTTON SUSTINPU:Recommended_Dos age_per_Hectare],1 ,0)

820

PUBLIC

Content Package User Guide Industries

3.25.5 Models
3.25.5.1 General - Cotton Reports Smallholder Farmer Information (SAP__RSM_GEN_IM_COTTONFARMER)

Model Name: SAP_RSM_GEN_IM_COTTONFARMER

Connection

 Model Description: SAP RSM: General - Cotton Reports Smallholder Farmer Information
 Planning Enabled: No

Local File

Account Dimension ID Age Number_of_Dependents Field_Size Seed_Cotton_Delivered Seed_Cotton_Production Average_Yield Seed_Cotton_Delivery_Agreement Rejected_Seed_Cotton Basic_Agricult_5jp1305y4n Conservation_A_3g215t4w5f
Integrated_Pla_2061510546
Proper_Use_and_Storage_of_Pesti cides Certification_Child_Labor_Criteria Cotton_Storage Occupational_H_5f35580494
Other_Training_Topics Number_of_Attended_Trainings Judo_5_EC_ Ester_20_SC_ Snowmethrin Snowkill

Description

Mapping/Formula

Age

Number of Dependents

Field Size

Seed Cotton Delivered

Seed Cotton Production

Average Yield

Seed Cotton Delivery Agreement

Rejected Seed Cotton

Basic Agricultural Technologies /GAP

Conservation Agriculture Techniques to Increase Soil Fertility

Integrated Plant and Pest Management (IPPM)

Proper Use and Storage of Pesticides

Certification Child Labor Criteria Cotton Storage Occupational Health and Safety for Gin Staff Other Training Topics Number of Attended Trainings Judo 5 EC Ester 20 SC Snowmethrin Snowkill

Content Package User Guide Industries

PUBLIC

821

Model Name: SAP_RSM_GEN_IM_COTTONFARMER

Glyphon_480

Glyphon 480

Treated_Cotton_Seed

Treated Cotton Seed

Untreated_Cotton_Seed

Untreated Cotton Seed

Agrofeed_NPK

Agrofeed (NPK)

Home_LAT

Home_LAT

Home_LON

Home_LON

Field_LAT

Field_LAT

Field_LON

Field_LON

Dimensions

Name

Description

Farmer

Farmer

Farmer's First Name

Farmer's First Name

Gender

Gender

Region

Region

District

District

Village

Village

Lead Farmer

Lead Farmer

National Registration Number

National Registration Number

Languages Spoken

Languages Spoken

Highest Level of Schooling

Highest Level of Schooling

Season

Season

HOM_LOC

Home GPS Location

FIELD_LOC

Field GPS Location

Additional Notes about the model

Connection Mapping

3.25.5.2 General - Cotton Ginning Operations (SAP__RSM_GEN_IM_COTTONGINNINGO)

Model Name: SAP__RSM_GEN_IM_COTTONGINNINGO

 Model Description: SAP RSM: General - Cotton Ginning Operations  Planning Enabled: No

Account Dimension

ID

Description

Connection  Local File
Mapping/Formula

822

PUBLIC

Content Package User Guide Industries

Model Name: SAP__RSM_GEN_IM_COTTONGINNINGO

Ginning_Capacity_t_per_24h

Ginning Capacity (t per 24h)

Lint_Cotton_

Lint Cotton

Number_of_Permanent_Employees

Number of Permanent Employees

Number_of_Temporary_Employees

Number of Temporary Employees

Dimensions

Name

Description

Ginnery

Ginnery

Address of Ginnery

Address of Ginnery

Season

Season

Connection Mapping

3.25.5.3 General - Cotton Input Supply (SAP__RSM_GEN_IM_COTTONINPUT)

Model Name: SAP__RSM_GEN_IM_COTTONINPUT

 Model Description: SAP RSM: General - Cotton Input Supply  Planning Enabled: No

Account Dimension ID Net_Sales_to_Certified_Farmers Stocks Order_for_Season Region_LAT Region_LON Dimensions Name Region Input Supply Target of Input Supply Season KPI_LOC Additional Notes about the model

Description Net Sales to Certified Farmers Stocks Order for Season Region_LAT Region_LON
Description Region Input Supply Target of Input Supply Season GPS Coordinates of Region

Connection Local File Mapping/Formula
Mapping

General - Cotton Regional Information (SAP__RSM_GEN_IM_COTTONREGIONAL)

Content Package User Guide Industries

PUBLIC

823

Model Name: SAP__RSM_GEN_IM_COTTONREGIONAL

 Model Description: SAP RSM: General - Cotton Regional Information  Planning Enabled: No

Account Dimension ID Number_of_Female_Farmers Number_of_Male_Farmers Total_Number_of_Farmers Hectares_Planted_in_Cotton Average_Hectare_per_Farmer Seed_Cotton_Production Lint_Cotton_Production Average_Yield Region_LAT Region_LON Dimensions Name Region Ginnery Season KPI_LOC

Description Number of Female Farmers Number of Male Farmers Total Number of Farmers Hectares Planted in Cotton Average Hectare per Farmer Seed Cotton Production Lint Cotton Production Average Yield Region_LAT Region_LON
Description Region Ginnery Season KPI__LOC

Connection Local File Mapping/Formula
Mapping

3.25.5.4 General - Cotton Smallholder Farmer (SAP__RSM_GEN_IM_COTTONSMALLHOL)

Model Name: SAP__RSM_GEN_IM_COTTONSMALLHOL

 Model Description: SAP RSM: General - Cotton Smallholder Farmer  Planning Enabled: No

Account Dimension

ID

Description

Age

Age

Number_of_Dependents

Number of Dependents

Field_Size

Field Size

Seed_Cotton_Delivered

Seed Cotton Delivered

Connection Local File
Mapping/Formula

824

PUBLIC

Content Package User Guide Industries

Model Name: SAP__RSM_GEN_IM_COTTONSMALLHOL

Connection

Seed_Cotton_Production

Seed Cotton Production

Average_Yield

Average Yield

Seed_Cotton_Delivery_Agreement

Seed Cotton Delivery Agreement

Rejected_Seed_Cotton

Rejected Seed Cotton

Basic_Agricult_4583z0454t

Basic Agricultural Technologies /GAP

Conservation_A_66s6g04x4d

Conservation Agriculture Techniques to Increase Soil Fertility

Integrated_Pla_nwm0a4z1i0

Integrated Plant and Pest Management (IPPM)

Proper_Use_and_Storage_of_Pesti cides

Proper Use and Storage of Pesticides

Certification_Child_Labor_Criteria

Certification Child Labor Criteria

Cotton_Storage

Cotton Storage

Occupational_H_3s01t03w64

Occupational Health and Safety for Gin Staff

Other_Training_Topics

Other Training Topics

Number_of_Attended_Trainings

Number of Attended Trainings

Judo_5_EC_

Judo 5 EC

Ester_20_SC_

Ester 20 SC

Snowmethrin

Snowmethrin

Snowkill

Snowkill

Glyphon_480

Glyphon 480

Treated_Cotton_Seed

Treated Cotton Seed

Untreated_Cotton_Seed

Untreated Cotton Seed

Agrofeed_NPK

Agrofeed (NPK)

Home_LAT

Home_LAT

Home_LON

Home_LON

Field_LAT

Field_LAT

Field_LON

Field_LON

Dimensions

Name

Description

Mapping

Farmer

Farmer

Farmer's First Name

Farmer's First Name

Gender

Gender

Region

Region

District

District

Content Package User Guide Industries

PUBLIC

825

Model Name: SAP__RSM_GEN_IM_COTTONSMALLHOL

Village

Village

Lead Farmer

Lead Farmer

National Registration Number

National Registration Number

Languages Spoken

Languages Spoken

Highest Level of Schooling

Highest Level of Schooling

Season

Season

Farmer_Homestead

GPS Location of Farmer's Home

Connection

3.25.5.5 General - Cotton Sustainability Input Supply (SAP__RSM_GEN_IM_COTTONSUSTINPU)

Model Name: SAP__RSM_GEN_IM_COTTONSUSTINPU

 Model Description: SAP RSM: General - Cotton Sustainability Input Supply  Planning Enabled: No

Account Dimension

ID

Description

Net_Sales_to_Certified_Farmers

Net Sales to Certified Farmers

Stocks_

Stocks

Order

Order

Dosage_per_Hectare

Dosage per Hectare

Recommended_Dosage_per_Hectare Recommended Dosage per Hectare

Dimensions

Name

Description

Input Supply

Input Supply

Season

Season

Target of Input Supply

Target of Input Supply

Field Size

Field Size

Connection Local File Mapping/Formula
Mapping

826

PUBLIC

Content Package User Guide Industries

3.25.5.6 General - Cotton Training Additional Regional Distribution (SAP__RSM_GEN_IM_COTTONTRAINADD)

Model Name: SAP__RSM_GEN_IM_COTTONSUSTINPU

 Model Description: SAP RSM: General - Cotton Sustainability Input Supply  Planning Enabled: No

Account Dimension

ID

Description

Net_Sales_to_Certified_Farmers

Net Sales to Certified Farmers

Stocks_

Stocks

Order

Order

Dosage_per_Hectare

Dosage per Hectare

Recommended_Dosage_per_Hectare Recommended Dosage per Hectare

Dimensions

Name

Description

Input Supply

Input Supply

Season

Season

Target of Input Supply

Target of Input Supply

Field Size

Field Size

Connection Local File Mapping/Formula
Mapping

3.25.5.7 General - Cotton Training Relative (SAP__RSM_GEN_IM_COTTONTRAININ)

Model Name: SAP__RSM_GEN_IM_COTTONTRAININ

Connection

 Model Description: SAP RSM: General - Cotton Training Relative  Planning Enabled: No

Local File

Account Dimension ID Basic_Agricult_531j3i01j1 Conservation_A_2s392a03a3
Integrated_Pla_13q6y0323c
Proper_Use_and_Storage_of_Pesti cides

Description

Mapping/Formula

Basic Agricultural Technologies /GAP

Conservation Agriculture Techniques to Increase Soil Fertility

Integrated Plant and Pest Management (IPPM)

Proper Use and Storage of Pesticides

Content Package User Guide Industries

PUBLIC

827

Model Name: SAP__RSM_GEN_IM_COTTONTRAININ

Connection

Certification_Child_Labor_Criteria

Certification Child Labor Criteria

Cotton_Storage

Cotton Storage

Occupational_H_i1ns006yo3

Occupational Health and Safety for Gin Staff

Other_Training_Topics

Other Training Topics

Dimensions

Name

Description

Mapping

Participant

Participant

Season

Season

3.25.5.8 General - Cotton Training Absolute (SAP__RSM_GEN_IM_COTTONTRAINING)

Model Name: SAP__RSM_GEN_IM_COTTONTRAINING

Connection

 Model Description: SAP RSM: General - Cotton Training Absolute  Planning Enabled: No

Local File

Account Dimension

ID

Description

Mapping/Formula

Number_of_Trained_Fe male_Lead_Farmers

Number of Trained Female Lead Farm ers

Number_of_Trained_Male_Lead_Farm Number of Trained Male Lead Farmers ers

Total_Num ber_of_Trained_Lead_Farmer

Total Number of Trained Lead Farmer

Number_of_ReTr_67183a02k3

Number of Re-Trained Female Lead Farmer

Number_of_Re Trained_Male_Lead_Farmer

Number of Re-Trained Male Lead Farmer

Total_Number_of_ReTrained_Farm ers_5f5aw02f63

Total Number of Re-Trained Lead Farm ers

Number_of_Trained_Female_Farmers Number of Trained Female Farmers

Number_of_Trained_Male_Farmers

Number of Trained Male Farmers

Total_Number_of_Trained_Farmers

Total Number of Trained Farmers

Number_of_ReTrained_Female_Farm Number of Re-Trained Female Farmers ers

Number_of_ReTrained_Male_Farmers Number of Re-Trained Male Farmers

828

PUBLIC

Content Package User Guide Industries

Model Name: SAP__RSM_GEN_IM_COTTONTRAINING

Connection

Total_Number_of_ReTrained_Farm ers_x1j6q5c456

Total Number of Re-Trained Farmers

Number_of_ReTr_2c6ya06d4s

Number of Re-Trained Female Extension Agents

Number_of_ReTr_3j4v4y04zi

Number of Re-Trained Male Extension Agents

Total_Number_o_1l346h0f17

Total Number of Re-Trained Extension Agents

Number_of_Trai_3v1n5d03d1

Number of Trained Female Extension Agents

Number_of_Trai_3w701305h1

Number of Trained Male Extension Agents

Total_Number_o_6p6k2t05jf

Total Number of Trained Extension Agents

Total_Number_of_Participants

Total Number of Participants

Dimensions

Name

Description

Mapping

Training

Training

Season

Season

3.25.5.9 General - Cotton Training Regional Distribution (SAP__RSM_GEN_IM_COTTONTRAINREG)

Model Name: SAP__RSM_GEN_IM_COTTONTRAINREG

Connection

 Model Description: SAP RSM: General - Cotton Training Regional Distribution Local File  Planning Enabled: No

Account Dimension ID Basic_Agricult_394g1e0647 Conservation_A_722n2m01ju
Integrated_Pla_645y5i0s60
Proper_Use_and_Storage_of_Pesti cides Certification_Child_Labor_Criteria Cotton_Storage

Description

Mapping/Formula

Basic Agricultural Technologies /GAP

Conservation Agriculture Techniques to Increase Soil Fertility

Integrated Plant and Pest Management (IPPM)

Proper Use and Storage of Pesticides

Certification Child Labor Criteria Cotton Storage

Content Package User Guide Industries

PUBLIC

829

Model Name: SAP__RSM_GEN_IM_COTTONTRAINREG

Connection

Occupational_H_2g662b073d

Occupational Health and Safety for Gin Staff

Other_Training_Topics

Other Training Topics

Dimensions

Name

Description

Mapping

Participant

Participant

Season

Season

Region

Region

3.25.5.10 General - Smallholder Farmer Offloading (SAP__RSM_GEN_IM_FARMEROFFLOAD)

Model Name: SAP__RSM_GEN_IM_FARMEROFFLOAD

 Model Description: SAP RSM: General - Smallholder Farmer Offloading  Planning Enabled: No

Account Dimension

ID

Description

Delivered_Seed_Cotton

Delivered Seed Cotton

Rejected_Seed_Cotton

Rejected Seed Cotton

Sold_Seed_Cotton

Sold Seed Cotton

Earnings

Earnings

Dimensions

Name

Description

Transaction ID

Transaction ID

Region

Region

Buying Station

Buying Station

Year

Year

Month

Month

Month_num

Month_num

Season

Season

Day

Day

Connection Local File Mapping/Formula
Mapping

830

PUBLIC

Content Package User Guide Industries

3.25.5.11 General - Sustainability Criteria (SAP__RSM_GEN_IM_SUSTCRITERIA)

Model Name: SAP__RSM_GEN_IM_SUSTCRITERIA

 Model Description: SAP RSM: General - Sustainability Criteria  Planning Enabled: No

Account Dimension ID Rating Dimensions Name Sustainability Criterion Number Category Principle

Description Rating
Description Sustainability Criterion Number Category Principle

Connection Local File
Mapping/Formula
Mapping

3.25.5.12 General - Sustainability Exclusion Criteria (SAP__RSM_GEN_IM_SUSTEXCLU)

Model Name: SAP__RSM_GEN_IM_SUSTEXCLU

 Model Description: SAP RSM: General - Sustainability Exclusion Criteria  Planning Enabled: No

Account Dimension ID YesNo Dimensions Name Exclusion Criterion Number Principle

Description Rating
Description Exclusion Criterion Number Principle

Connection Local File
Mapping/Formula
Mapping

Content Package User Guide Industries

PUBLIC

831

3.25.5.13 General - Palm Oil Average Acre, with hierarchy (SAP__RSM_IM_GEN_PALMACREH)

Model Name: SAP_RSM_GEN_IM_PALMACREH

 Model Description: SAP RSM: General - Palm Oil Average Acre, with hierar chy
 Planning Enabled: No

Name of Account Dimension ID Counting Total_Field_size Total_Net_income Total_Unused_field_size Total_Field_size_in_use Block_Field_size Block_Net_income Block_Net_weight Block_Field_size_in_use Block_unused_field_size Unit_Field_size_in_use Unit_Net_weight Unit_Net_income Unit_Unused_field_size Unit_Field_size Unit_Average_n_u3i7201a65 Unit_Average_n_2l6r102d5m Block_Net_weight_per_acre Block_Average__5q6k5e0364 Average__2q4w3c01a1 Total_Average_net_income_per_acre Unit_latitude Unit_longitude Block_latitude Block_lon Dimensions Name

Description Counting Total Field size Total Net income Total Unused field size Total Field size in use Block Field size Block Net income Block Net weight Block Field size in use Block unused field size Unit Field size in use Unit Net weight Unit Net income Unit Unused field size Unit Field size Unit Average net weight per acre Unit Average net income per acre Block Net weight per acre Block Average net income per acre Total Average net weight per acre Total Average net income per acre Unit latitude Unit longitude Block latitude Block_lon
Description

Connection Local File Mapping/Formula
Mapping

832

PUBLIC

Content Package User Guide Industries

Model Name: SAP_RSM_GEN_IM_PALMACREH

Year

Year

Month number

Month number

Unit

Unit

Unit_location

Unit location

Block_location

Block location

Connection Hierarchy: Unit -> Block -> Total

3.25.5.14 General - Palm Oil Average Acre (SAP__RSM_GEN_IM_PALMACRE)

Model Name: SAP_RSM_GEN_IM_PALMACRE

 Model Description: SAP RSM: General - Palm Oil Average Acre  Planning Enabled: No

Name of Account Dimension ID Counting Total_Field_size Total_Net_income Total_Unused_field_size Total_Field_size_in_use Block_Field_size Block_Net_income Block_Net_weight Block_Field_size_in_use Block_unused_field_size Unit_Field_size_in_use Unit_Net_weight Unit_Net_income Unit_Unused_field_size Unit_Field_size Unit_Average_n_u3i7201a65 Unit_Average_n_2l6r102d5m Block_Net_weight_per_acre Block_Average__5q6k5e0364

Description Counting Total Field size Total Net income Total Unused field size Total Field size in use Block Field size Block Net income Block Net weight Block Field size in use Block unused field size Unit Field size in use Unit Net weight Unit Net income Unit Unused field size Unit Field size Unit Average net weight per acre Unit Average net income per acre Block Net weight per acre Block Average net income per acre

Connection Local File
Mapping/Formula

Content Package User Guide Industries

PUBLIC

833

Model Name: SAP_RSM_GEN_IM_PALMACRE

Average__2q4w3c01a1

Total Average net weight per acre

Total_Average_net_income_per_acre Total Average net income per acre

Unit_latitude

Unit latitude

Unit_longitude

Unit longitude

Block_latitude

Block latitude

Block_lon

Block_lon

Dimensions

Name

Description

Year

Year

Month number

Month number

Unit

Unit

Block

Block

Total

Total

Unit_location

Unit location

Block_location

Block location

Connection Mapping

3.25.5.15 General - Palm Oil Ffb Receipts (SAP__RSM_GEN_IM_PALMFFBRECEIPT)

Model Name: SAP__RSM_GEN_IM_PALMFFBRECEIPT

 Model Description: SAP RSM: General - Palm Oil Ffb Receipts  Planning Enabled: No

Name of Account Dimension ID Offloading_gross_weight Offloading_truck_net_weight Offloading_net_weight Field_weight_26541v3k21 Field_size_5x5m3m01g3 Number_of_farmers Transport_cost Farmer_offloading_contribution N_offloagings

Description Offloading gross weight Offloading truck net weight Offloading net weight Field weight Field size Number of farmers Transport cost Farmer offloading contribution Number of transfers

Connection Local File
Mapping/Formula

834

PUBLIC

Content Package User Guide Industries

Model Name: SAP__RSM_GEN_IM_PALMFFBRECEIPT

Price_2

Price

Field_weight_6a6a1c05o5

Field Weight

Gross_weight

Gross weight

Net_weight

Net Weight

Truck_weight

Truck weight

Weight_before_grading

Weight before grading

Transportation_costs

Transportation costs

Gross_income

Gross income

Net_income

Net income

Net_income_67

Net income 67%

Net_income_33

Net income 33%

Net_value

Net value

Field_size_4o2h273k55

Field Size

Payment

Payment

Net_weight_per_acre

Net weight per acre

Net_income_per_acre_6l2b5q4o28

Net income per acre

Unit_latitude

Unit latitude

Unit_longitude

Unit longitude

Block_latitude

Block latitude

Block_longitude

Block longitude

Dimensions

Name

Description

Offloading_capture_date

Offloading capture date

Loading_capture_date

Loading capture date

Loading_transaction_date

Loading transaction date

Transaction_date

Transaction date

Price_start_date

Price start date

Total

Total

License plate

License plate

Representative

Representative

BUYING_TRANSTYPE

Buying transaction type

Farmer

Farmer

Gender

Gender

Unit

Unit

Connection Mapping

Content Package User Guide Industries

PUBLIC

835

Model Name: SAP__RSM_GEN_IM_PALMFFBRECEIPT

Block

Block

Driver

Driver

Price

Price

Price id

Price id

Year

Year

Month number

Month number

Payment purpose

Payment purpose

Month

Month

Buying CID

Buying CID

Buying ID

Buying ID

Offloading ID

Offloading ID

Garden entity

Garden entity

Buying person ID

Buying person ID

Loading CID

Loading CID

Day

Day

Unit_Location

Unit location

Block_Location

Block location

Additional Notes about the model

Connection

3.25.5.16 General - Palm Oil Offloadings (SAP__RSM_GEN_IM_PALMOFFLOAD)

Model Name: SAP__RSM_GEN_IM_PALMOFFLOAD

 Model Description: SAP RSM: General - Palm Oil Offloadings  Planning Enabled: No

Name of Account Dimension ID Estimated_ffb Average_bunch_weight Gross_weight Truck_weight Net_weight Deductions

Description Estimated ffb Average bunch weight Gross weight Truck weight Net weight Deductions

Connection Local File
Mapping/Formula

836

PUBLIC

Content Package User Guide Industries

Model Name: SAP__RSM_GEN_IM_PALMOFFLOAD

Price_2

Price_2

Net_value

Net value

Unripe

Unripe

Underripe

Underripe

Overripe

Overripe

Old

Old

Empty

Empty

Rotten

Rotten

Sick

Sick

Partenocarpic

Partenocarpic

V_shape

V shape

Long_stalk

Long stalk

Dirt

Dirt

Stone

Stone

Number_of_buyings

Number of buyings

Weight_before_grading

Weight before grading

Count

Count

Dimensions

Name

Description

Date_6e1h4m0lno

Date

Year

Year

Month number

Month number

Driver

Driver

License plate

License plate

Price

Price

Mill

Mill

Block

Block

Day

Day

Additional Notes about the model

Connection Mapping

Content Package User Guide Industries

PUBLIC

837

3.25.5.17 General - Palm Oil Prices (SAP__RSM_GEN_IM_PALMPRICES)

Model Name: SAP__RSM_GEN_IM_PALMPRICES

 Model Description: SAP RSM: General - Palm Oil Prices  Planning Enabled: No

Name of Account Dimension ID Price Month Month_3 Dimensions Name Year Month

Description Price month Order
Description Year Month

Connection Local File Mapping/Formula
Mapping

3.26 SAP Aerospace and Defense TERMS Dashboard
3.26.1 Architecture and Abstract
This SAP Analytics Cloud (SAC) content for the Aerospace and Defense (A&D) industry is designed to provide small to medium businesses with a total enterprise view of their company across all major dimensions of KPI: from their people, customers, operations to finance. You simply map your data to our template, with whatever data you have - whether you're on a modern ERP or running your company on spreadsheets - either way, it works.
With SAC's built-in predictive capabilities, the SAP Total Enterprise Reporting for Medium / Small Businesses (TERMS) dashboard helps businesses analyze their performance over time, identify patterns and causal relationships, and forecast changes across their organization. Target thresholds for critical KPIs are adjusted out of the box to A&D industry standards, but they can be customized for your business with a simple slider. And predictive forecasting lets you plan your next move with algorithmic insight - no programming required.

838

PUBLIC

Content Package User Guide Industries

3.26.2 Stories

The package contains one story with 22 pages.
Story Name: SAP Total Enterprise Reporting for Medium to Small Businesses (TERMS) (SAP_A&D_GEN_TERMS_DAQ)
The story pages are:
 KPI Summary (focusing on four main areas - Financials, Customer, Operations, and People)  Quick Ratio  Inventory Turnover Ratio  Operating Cash Flow (OCF) Ratio  Pretax Net Profit Margin  Revenue Per Employee  SG&A as a % of Sales  Gross Margin  Labor to Revenue Ratio  Backlog  On-Time Delivery  Customer Escapes  Customer Concentration  Supplier OTD

Content Package User Guide Industries

PUBLIC

839

 Machine Capability  Strategic Spend  SRR  Labor Productivity  Employee Turnover Rate  Overtime Rate  TRIR  LDIR
In this story, the following page filters apply to the widget.

Page Filter Plant Filter Work center Filter Customer Name Filter Customer ID Filter Product Name Filter Product ID Filter Supplier Name Filter Supplier Part Number Filter

Description Filter by plant Filter by work center Filter by customer name Filter by customer ID Filter by product name Filter by product ID Filter by supplier name Filter by part number

The measures defined in this story are listed in the following table.

Measure Name Quick Ratio

Type Calculated Measure

Inventory Turnover Ratio Operating Cash Flow (OCF) Ratio

Calculated Measure Calculated Measure

Pretax Net Profit Margin Revenue per Employee

Calculated Measure Calculated Measure

SG&A as a % of Sales Gross Margin

Calculated Measure Calculated Measure

Direct Labor as a % of Sales (Labor to Revenue Ratio)
Backlog %

Calculated Measure Calculated Measure

Formula/Properties ([Current Assets] - [Inventory]) / [Cur rent Liabilities] [COGS] / [Inventory] [Operating Cash Flow] / [Current Liabil ities] [EBT] / [Gross Revenue] [Gross Revenue] / [Monthly Head count] [SGA] / [Gross Revenue] ([Gross Revenue] - [COGS]) / [Gross Revenue] [Total Labor Costs] / [Gross Revenue]
[Backlog] / [Gross Revenue]

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Measure Name On Time Delivery Ratio

Type Aggregation

Customer Concentration (by sales)

Aggregation

Supplier OTD

Aggregation

Machine Capacity

Calculated Measure

Strategic Spend

Calculated Measure

Labor Productivity Employee Turnover Rate

Calculated Measure Calculated Measure

Overtime Rate

Calculated Measure

TRIR (Total Recordable Incident Rate) Calculated Measure

LDIR (Lost Day Incident Rate)

Calculated Measure

Formula/Properties
- Operation [AVERAGE excl. 0, NULL] - Measure [On Time Delivery Precalc] by Aggregation Dimensions [Date] and [Customer Name] - Conditional Aggregation [No]
- Operation [MAX] - Measure [% of Revenue Precalc] by Aggregation Dimensions [Date], [Cus tomer ID], and [Customer Name] - Conditional Aggregation [No]
- Operation [AVERAGE excl. 0, NULL] - Measure [Supplier Delivery Perform ance] by Aggregation Dimension [Date], [Supplier Name], and [Supplier Part Number] - Conditional Aggregation [No]
[Actual Runtime] / [Overall Available Capacity]
[Strategic Managed Spend ($ Spend on LTA)] / [Total Spend]
[Utilized Hours] / [Scheduled Hours]
[Separations] / [Monthly Total Head Count]
([Total Hours Actual] / [Total Hours Planned]) - 1
[# of Recordable Incidents] * 200000 / ([Monthly Total Headcount] * 2080)
[# of Lost Days] * 200000 / ([Monthly Total Head Count] * 2080)

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3.26.3 Models 3.26.3.1 Data Source

To utilize this content package, you can simply load enterprise metrics into our pre-designed spreadsheet SAP_Content_A&D_TERMS_Dataset in the format listed, then upload each of the four (4) tabs into SAP Analytics Cloud models.
Delete the example records, and add a single row for every available column for each of the four (4) tabs.
If you want to enable drilldown and lower-level forecasting to any of the following dimensions, add a separate row per month in the spreadsheet for each of the dimensions:
- Plant, Workcenter, Supplier Name, Supplier Part Number, Customer ID, Customer Name, Product Line, Product ID, Product Name
For example, each tab consists of one row of data per month. If I want to enable drilldown and forecasting across every Customer Name, every Customer Name will require a single spreadsheet row for each month.
Please make sure that all rows and columns are aligned to the template as follows:

Model Name: SAP__A&D_OPS_IM_PEOPLEOPERATIONS

Tab Name

Column Name

People & Operations

Date

Category

Year

Month

Workcenter

Plant

Lost Days/Incidents

Note YYYY-MM-DD Actual/Plan YYYY Jan/Feb/...
Name or Number

Total Hours - Actual

(Total Hours - Planned) /Budgeted

Monthly Total Head Count

Monthly Direct Labor Head Count

Actual Run Time

Overall Available Capacity

Machine Capacity

Scrap, Repair, & Rework Rate

Overtime Rate

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Tab Name

Column Name Separations Production Run Time (Scheduled Hours) Total Labor Hours Total Overtime Hours Total PTO Hours

Note

Model Name: SAP__A&D_SUP_IM_SUPPLIERPERFORMANCE

Tab Name

Column Name

People & Operations

Date

Category

Year

Month

Note YYYY-MM-DD Actual/Plan YYYY Jan/Feb/...

Supplier Name

Supplier Part Number

Supplier Delivery Performance

Strategic Managed Spend ($ Spend on LTA)

Total Spend

Units Received

Units Returned

Units Scrapped

Model Name: SAP__A&D_SL_IM_SALESPERFORMANCE

Tab Name

Column Name

People & Operations

Date

Category

Year

Month

Customer ID

Note YYYY-MM-DD Actual/Plan YYYY Jan/Feb/...

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Tab Name

Column Name Customer Name Product Line Product ID Product Name Total # of Products Shipped Total # of Products Returned On Time Deliveries Customer Return Rate Backlog of Orders Gross Revenue COGS Gross Margin % Customer Escapes

Model Name: SAP__A&D_FIN_IM_FINANCIALRPERFORMANCE

Tab Name

Column Name

People & Operations

Date

Category

Year

Month Plant Gross Revenue

COGS

SG&A

EBT

Taxes

Depreciation

Net Income

Note
Note YYYY-MM-DD Actual/Plan YYYY Jan/Feb/... Name or Number

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Tab Name

Column Name Operating Cash Flow Total Labor Costs A/P Cash and Other Equivalents Inventory A/R Short-Term Investment Current Assets Current Liabilities Monthly Revenue Quick Ratio OCF Ratio Pretax Net Profit Margin Pretax Net Profit Margin Inventory Turnover Ratio Labor to Revenue Ratio Revenue Per Employee Gross Margin % Top Customer Revenue Ratio Strategically Managed Spend Ratio Overtime Rate

Note

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3.26.3.2 SAP A&D: Supplier Performance

Model Name: SAP__A&D_SUP_IM_SUPPLIERPERFORMANCE

Connection

- Model Description: SAP A&D: Supplier Performance

- Connection Type: Flat file

- Planning Enabled: No

Measures

ID

Description

Mapping/Formula

Strategic_M_2n6gi0685l

Strategic Managed Spend ($ Spend on LTA)

Supplier_De_2d51g01z5o

Supplier Delivery Performance

Total_Spend

Total Spend

Units_Received

Units Received

Units_Returned

Units Returned

Units_Scrapped

Units Scrapped

Dimensions

Name

Description

Mapping

Category

Data Category

Year

Year

Month

Month

Supplier_Name_

Name of Suppliers

Suppllier_Part_Number

Supplier Part Numbers

Name Dimension that only exists in SAC model and not in data source

N/A

Additional Notes about the model

Provide additional information about the model if needed

N/A

3.26.3.3 SAP A&D: Sales Performance

Model Name: SAP__A&D_SL_IM_SALESPERFORMANCE

- Model Description: SAP A&D: Sales Performance

- Planning Enabled: No

Measures ID

Description

Backlog_of_Orders

Backlog of Orders

Connection - Connection Type: Flat file
Mapping/Formula

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Model Name: SAP__A&D_SL_IM_SALESPERFORMANCE

COGS

COGS

Customer_Escapes

Customer Escapes

Customer_Return_Rate

Customer Return Rate

Gross_Margin_

Gross Margin %

Gross_Revenue

Gross Revenue

On_Time_Deliveries_

On Time Deliveries

Total__of_P_2i1r2h04yj

Total # of Products Returned

Total__of_P_372t2602k2 Dimensions Name Category Year Month
Customer_ID

Total # of Products Shipped
Description Data Category Year Month Customer ID

Customer_Name

Name of Customers

Product_Line

Name of product line

Product_ID

Product ID

Product_Name

Product Name

Name Dimension that only exists in SAC model and not in data source Additional Notes about the model Provide additional information about the model if needed

Connection
Mapping
N/A N/A

3.26.3.4 SAP A&D: People & Operations Performance

Model Name: SAP__A&D_OPS_IM_PEOPLEOPERATIONS - Model Description: SAP A&D: People & Operations Performance - Planning Enabled: No Measures
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Model Name: SAP__A&D_OPS_IM_PEOPLEOPERATIONS

ID

Description

Actual_Run_Time

Actual Run Time

ID__Monthly_64q3m04x38

Monthly Total Head Count

Labor_Productivity

Labor Productivity

Lost_DaysIncidents

Lost Days/Incidents

Machine_Capacity

Machine Capacity

Monthly_Dir_2l5h1a05o5

Monthly Direct Labor Head Count

Overall_Ava_385p1m1s5c

Overall Available Capacity

Overtime_Rate

Overtime Rate

Production__3i1o4802y2

Production Run Time (Scheduled Hours)

Recordable_Incidents

Recordable Incidents

Scrap_Repai_5p1980556c

Scrap, Repair and Rework

Scrap_Repai_6j3q2406b6

Scrap, Repair, & Rework Rate

Separations

Separations

Total_Hours__Actual

Total Hours - Actual

Total_Hours_3z5f80396q

Total Hours - Planned/Budgeted

Total_Labor_Hours

Total Labor Hours

Total_Overtime_Hours

Total Overtime Hours

Total_PTO_Hours

Total PTO Hours

Dimensions

Name

Description

Category

Data Category

Year

Year

Month

Month

Workcenter

Work Center Name/Number

Plant

Plant Name/Number

Name Dimension that only exists in SAC model and not in data source

Additional Notes about the model

Provide additional information about the model if needed

Connection Mapping/Formula
Mapping N/A N/A

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3.26.3.5 SAP A&D: Financial Performance

Model Name: SAP__A&D_FIN_IM_FINANCIALRPERFORMANCE

- Model Description: SAP A&D: Financial Performance

- Planning Enabled: No

Measures ID

Description

AP

A/P

AR

A/R

Cash_and_Ot_6n2m2c02x2

Cash and Other Equivalents

COGS

COGS

Current_Assets

Current Assets

Depreciation

Depreciation

EBT

EBT

Gross_Margin_

Gross Margin %

Gross_Revenue

Gross Revenue

Inventory

Inventory

Inventory_T_r5j6301712

Inventory Turnover Ratio

Labor_to_Revenue_Ratio

Labor to Revenue Ratio

Monthly_Revenue

Monthly Revenue

Net_Income

Net Income

OCF_Ratio

OCF Ratio

Operating_Cash_Flow

Operating Cash Flow

Monthly_Revenue

Monthly Revenue

Net_Income

Net Income

OCF_Ratio

OCF Ratio

Operating_Cash_Flow

Operating Cash Flow

Overtime_Rate

Overtime Rate

Connection - Connection Type: Flat file
Mapping/Formula

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Model Name: SAP__A&D_FIN_IM_FINANCIALRPERFORMANCE

Pretax_Net__2e562x01u6

Pretax Net Profit Margin

Quick_Ratio

Quick Ratio

Revenue_Per_Employee

Revenue Per Employee

SGA

SG&A

ShortTerm_Investment

Short-Term Investment

Strategical_264s5g5k18

Strategically Managed Spend Ratio

Taxes

Taxes

Top_Custome_2u5f2m5c6r

Top Customer Revenue Ratio

Total_Labor_Costs

Total Labor Costs

Dimensions

Name

Description

Category

Data Category

Year

Year

Month

Month

Plant

Plant Name/Number

Name Dimension that only exists in SAC model and not in data source

Additional Notes about the model

Provide additional information about the model if needed

Connection
Mapping N/A N/A

3.27 SAP Automotive: Responsive Supply Network, Sales and Inventory
3.27.1 Overview

This package covers the business scenario the "Responsive Supply Networks" of the industry Automotive. It is based on data from S/4HANA source systems. The content consists of two packages:
 a SAP Analytics Cloud content package (this package) for the visualizations  a SAP Data Warehouse Cloud package for the data models, remote connection amongst others
You need both packages to setup this scenario. Check the Data Warehouse Cloud content package and SAP Data Warehouse Cloud content documentation on how to install the SAP Data Warehouse Cloud content.

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3.27.2 Architecture and Abstract
The first delivery will focus on stock and demand data, as a first building block aiming to build the complete scenario. The report will focus on sales and purchase orders with stock at current date at material/plant level, additionally product costing and production orders information is also available. The SAP Analytics Cloud story provides overviews and details pages for four sections, purchasing, sales, inventory stock and production costs. The user has access to a consequent panel of filters to play with the data as he wishes.

3.27.3 Stories
The package contains one story with 9 pages.
Story name: Automotive Dashboard Sales Scenario (SAP__AUT_SalesReport)
These are the 9 pages:  Home  Automotive Overview  Purchasing Overview  Purchasing Details  Sales Overview  Sales Details  Inventory Stock Overview  Inventory Stock Details  Production Costs Details

3.27.4 Models
The following SAP Datawarehouse Cloud models are used in the Automotive Dashboard Sales Scenario (SAP_AUT_SalesReport) story:

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 Purchase Orders (HL) (SAP_AUT_HL_Purchasing)  Stock Inventory (HL) (SAP_AUT_HL_StockInventory)  Sales Orders (HL) (SAP_AUT_HL_Sales)  Material View from PP/PP-PI (HL) (SAP_AUT_HLOrderPP)  Evaluation Stock (RL) (SAP_AUT_RL_EvalStock) Find more details on the Data Warehouse Cloud data models in the SAP Data Warehouse Cloud content documentation.
3.28 SAP Consumer Products: Revenue Growth Management ­ Foundation
3.28.1 Overview
This package covers the business scenario the "Revenue Growth (Foundation)" of the industry consumer products It is based on data from S/4HANA source systems. The content consists of two packages:  a SAP Analytics Cloud content package (this package) for the visualizations  a SAP Data Warehouse Cloud package for the data models, remote connection amongst others. You need both packages to setup this scenario. Check the Data Warehouse Cloud content package and SAP Data Warehouse Cloud content documentation on how to install the SAP Data Warehouse Cloud content.
3.28.2 Architecture and Abstract
The Revenue Growth scenario is an analytical modeling to measure the effectiveness of past promotions and intelligent recommendations to adjust future promotions to meet sales objectives. Micro-testing to evaluate potential effectiveness of new promotions or existing promotions on new products. The SAC Content provides overviews and details pages for three sections: Sales Orders, Material Orders, and Promotions Sales. The user has access to a consequent panel of filters to play with the data as per their wish.

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3.28.3 Story
The package contains one story with 8 pages. Story name: CP Dashboard - Revenue Growth Management - Foundation (SAP__CP_RevenueGrowthManagement) These are the 8 pages:  Home  Utilities Overview  Sales Orders Overview  Sales Orders Details  Material Sales Overview  Material Sales Details  Promotions Sales Overview  Promotions Sales Details
3.28.4 Models
The following SAP Datawarehouse Cloud models are used in the story CP Dashboard - Revenue Growth Management - Foundation (SAP__CP_RevenueGrowthManagement):  Harmonized Report View on Sales Orders (RL) (SAP_CP_RL_SalesOrder)  Harmonized Report View on Material Sales (RL) (SAP_CP_RL_MaterialSales)  Harmonized Report View on RGO Use Case (RL) (SAP_CP_RL_RGOUseCase) Find more details on the Data Warehouse Cloud data models in the SAP Data Warehouse Cloud content documentation.

3.29 SAP Cloud Platform Intelligent Returnable Packaging Dashboard
3.29.1 Architecture and Abstract

SAP Returnable packaging is a process of reusing the returnable containers. In this process the supplier delivers the requested components by OEM in a containers, racks, or pallets and after the consumption of components by OEM in the production supply line, the OEM's returns the containers back to supplier. The type of containers used might differs for different components.
This document helps in starting the analytics journey in SAC that is specific to Returnable packaging that gives the stock quantity overview of the Returnable Material.

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Usage in Industry specific Boardrooms Industry Industry cloud and Content Development
3.29.2 Dashboards
Returnable Packaging Material-Overview

3.29.3 Models
Model Name

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Story SAP__ICD_RPM_STOCKOVERVIEW_LIVE
Key Indicators Charts(Stock Quantity) Charts(Posting quantity) Number of Postings by Period
SAP__ICD_RPM_LS_POSTINGMODEL
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Model Description Planning Enabled Connection
Model Name Model Description Planning Enabled Connection

SAP Returnable Packaging Posting Model no Live connection
SAP__ICD_RPM_LS_RETURNABLEMODEL SAP Returnable Packaging Returnable Model no Live connection

3.29.4 Stories

SAP__ICD_IRP_LS_POSTINGMODEL Measure Name Returnable Material Quantity Posting Documents with Error Days since last movement Total Postings
SAP__ICD_IRP_LS_RETURNABLEMODEL Measure Name Moving Price REORDERPOINT Standard Price Total Account Balance Partner Stock on Hand Stock with Partner Value of Partner Stock Value of Stock with Partner
SAP__ICD_RPM_STOCKOVERVIEW_LIVE Stock Overview The table provides a detailed description of the suppliers. Page: Stock Overview with Key Indicators Type: Canvas Charts Title

Type SUM SUM COUNT SUM
Type SUM SUM SUM SUM SUM SUM SUM SUM
Model Used

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Performance (Single Supplier) Value of Stock with Partner

SAP__ICD_IRP_LS_POSTINGMODEL SAP__ICD_IRP_LS_RETURNABLEMODEL SUM

Returnable Material description, Material code, Returnable Material Account Number and Period are dynamic filters.
Posting model Gives the details regarding posting types and number of postings.

3.30 SAP Telecommunication: Customer Value Management (CVM)
3.30.1 Architecture and Abstract
Customer Value Management (CVM) measures the behavior and performance of each product and service over time, at customer level. It can: - automatically identify the customers basket performance and percentage share for every service but also over all services. - highlight the best opportunity for every marketing action based on potential revenue. - identify automatically the next best action for each customer based on potential revenue. The solution minimizes the time to build the campaigns and provides a simple way to evaluate their impact by tracking the movement of the customer between the different target groups over time. The solution gives automated recommendations and insights either per product (above the line campaigns ATL) or tailored offers per customer (Below the line campaigns - BTL).

3.30.2 Stories 3.30.2.1 CVM KPIs Overview

The following details are displayed for the specified period in the header of the page: - Total number of customers. - Total number of active customers. - Current period Usage: Total revenue usage generated. - ARPU: Average revenue usage per user. - ARPAU: Average revenue usage per active user.

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- The CVM KPIs for each selected period (Date filter) can be viewed for each selected date and in our case the date refers to month (default).
- The end user can also choose different segments to display, by default all of them are preselected.
- The definition also of the service is provided as text in the first page of the story.
The following details are displayed for the charts shown in this page:
- Revenue usage and customer base comparison between the services for the specified period.
- Distribution of usage and number of active customers for each service and for each activation channel.
- The trend analysis of usage and active number of customers in time with the forecast for the future period. These charts can highlight immediately a potential trend for each service usage and also provide a future potential forecast of what can happen based on historical pattern.

3.30.2.2 Delta Management
This page provides the information related to elta calculations and the insights generated from the calculation for each customer segment and service for the specified period. The following filters are displayed in the header of the page: - Delta Performance Indicator: By default, the value ranges from -30 to 30. The delta performance indicator defines the percentage difference of the customer usage for the selected period compared to the previous. The end user can modify these ranges in order to view the full distribution of customers across all delta ranges. - Date (selected period): By default, is month. - Segment name: By default, all segments are selected. - Service name: By default, all services are selected. The following details are displayed for the charts shown in this page: - Delta distribution of segments based on number of customers, current period and historical usage for the specified period. - The distribution of the base (number of customers) and the usage for each segment and service.

3.30.2.3 Potential Incremental Revenue

Here the information related to the Potential Incremental Revenue calculated by CVM, the service configuration parameters and the insights generated from CVM for each customer segment and service for the specified period related to the potential incremental revenue is shown.
The following configuration measures and filters are displayed in the top of the page:
- Date (selected period): By default, is month.
- Service name: By default, all services are selected except TOTAL.

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- Weighted Average of Actual Historical Usage: Seasonality configuration per service. The end user has the option of increasing or decreasing the weight for specific period based on the market situation. - Start date of Service Validity is date parameter that defines the start date of the service. - End date of Service Validity is the expiry date for the service. - Total average of actual usage and Total weighted average are flags (0/1) enabling the user switching between the calculation from the normal historical average to the weighted average calculations for the CVM historical usage measures (only one of the flags can be 1 not both). - Total discount/increase factor for service usage is a parameter to enable the end user to decrease/increase the final expected target per service based on the marketing strategy and the CMO approval. The following details are displayed for the charts shown in this page: - Variance of Potential incremental usage versus the average usage per customer value segment group and compared to the total number of customers for this group. - Distribution of potential incremental usage across customer population and attributes by gender and customer value group. In these charts, anomalies of the customer base distribution can be easily highlighted. - Highlighted potential incremental usage for all customers (low, medium, high) per service and immediate comparison of total vs customer potential.
3.30.2.4 Campaign and Customer View
This page shows the information related to the CVM results for each and every customer linked to a specific marketing campaign and wave. The following filters are displayed in the header of the page: - Date (selected period): By default, is month. - Campaign Wave: By default, wave 1 is selected (only 1 option is available). - Marketing Action: By default, CROSS_SELL_HIGH_INTER is selected (only 1 option is available). The following details are displayed for the charts shown in this page: - Top 10 marketing campaigns with highest potential incremental usage in total and per customer for immediate comparison. The main filters of the page do not impact these charts. - Campaign KPIs dynamic view of the filters selected in the header of the story page. - Distribution of Potential incremental versus current period usage for the top N customers based on Potential incremental usage across customer value group. - Customer trend analysis for one selected customer (in this example is 99889) for potential incremental and current period usage and forecasts for the future period. - Customer attributes (gender, marital status, dealer activation and level of education) and potential incremental usage for the selected customer (in this example is 99889)

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3.30.2.5 Customer Value Management Insights for Telco

(SAP_TEL_CVM_INSIGHTS) Measure
No of active customers

Type Count excluding 0 and null

ARPAU

Calculated Measure

ARPU

Calculated Measure

Average current usage per customer

Calculated Measure

Pot Incr Usage per customer

Calculated Measure

Var (Pot.incr.revenue - Avg.usage)

Difference From

Pot Incr usage per customer against average usage per customer

Threshold

Formula/Properties
- Operation [COUNT]
- Measure [Current period usage] by Aggregation Dimension [Usage delta, segment, service, customer]
- Conditional Aggregation [No]
- [Current period usage] / [No of active customers] - [Current period usage] / [Number of customers] - [Current period usage] / [Total cus tomers] - [Potential Incremental Usage] / [Total customers]
- Measure A [Potential Incremental Us age]
- Measure B [Average Historical Usage]
- Compare (A) to (B)
- Set No Data as Zero [No]
- Calculate as Percentage [No]
- Measure A [Potential Incremental Us age per customer]
- Measure B [Average Usage per cus tomer]
- Compare (A) to (B)
- Calculate as Percentage [Yes]

3.30.3 Models
The Story is using the following Data Warehouse Cloud models. They are all based on a live connection to the SAP Data Warehouse Cloud system. Setup the connection with the name SAPDWC.

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Model Name Service Usage Segmentation (CVM_TEL) (RL) Service Configuration (CVM_TEL) (RL) Service Usage Insights (CVM_TEL) (RL)

Technical Name SAP_TEL_CVM_RL_SERVICE_SEGMENT SAP_TEL_CVM_RL_SERVICE_CONF SAP_TEL_CVM_RL_SERV_USG_INS

Please navigate to the SAP Data Warehouse Cloud content documentation for details.

3.31 SAP Unified Demand Forecast
3.31.1 Architecture and Abstract
The SAP Analytics Cloud content for the Unified Demand Forecast story helps retailers analyze forecast data over certain time periods to identify patterns and monitor trends that influence the business. The story is based on a live connection to the SAP Customer Activity Repository data with dedicated HANA views.
Alerts are collections of one or more similar exceptions that are very important and need urgent attention. Based on alerts, planners check sales and forecast details to make calculated judgements on forecasted quantities and to change them, if necessary. To aid the process, this story has the Sales and Forecasts model, which provides an analytical overview of actual sales and system forecasts along with the out-of-stock rate for product locations and with the Forecast Correction Classifier model, planners can get a detailed insight based on the different forecast adjustments made, like the forecast adjustments , absolute forecast adjustments, positive or negative forecast adjustments across various products and location hierarchies.
Planners can further use this model in combination with the Orders model in the Replenishment Planning story to analyze how well the actual sales and system forecasts compare with order quantities.

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3.31.2 Unified Demand Forecast (SAP__RT_UDF_DEMANDFORECASTING_LIVE)

This story allows planners to assess the overall situation with regards to actual sales and system forecasts by looking at out-of-stock rate in product locations. Planners can then ensure forecast quality is in alignment with the target.
In this story, the following page filters apply to the widget:

Page Filters Location Hierarchy Product Hierarchy Sales Organization Distribution Channel

Description Filter by region/city/location Filter by product category down to the products Filter by sales organizations Filter by distribution channels

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Page Filters Order Channel Replenishment Type Date

Description
Filter by order channels Filter by replenishment types Filter by date (A date range to include 90 days in the past and 30 days in the future is set as default)

The story consists of several charts. They are organized in two sections as explained below. - Forecasts section

Chart Forecasts

Type

Description

Comparison - Combination Column and A planner can assess the overall situa

Line

tion with regards to actual sales and

system forecasts by looking at out-of-

stock rate in product locations over a

time period.

- Detailed Analysis of Forecast Adjustments section
For the first four charts, planners can display information related to one of the following measures:
 Forecast Adjustments (Cumulative)  Absolute Forecast Adjustments (Cumulative)  Positive Forecast Adjustments (Cumulative)  Negative Forecast Adjustments (Cumulative)
The selected measure is applied to all four charts in the section.

Chart description [Measure] by [Dimension 1]

Type Trend - Line

[Measure] by Location Hier Distribution - Heat Map archy, Product Hierarchy [Measure] by Product, Date Comparison - Bar/Column
[Measure] by Date, Location Comparison - Bar/Column

Description

Dimensions

A planner can look at differ ent measures at a product or location hierarchy node for a time period.

[Dimension 1] is either Prod uct Hierarchy or Location Hi erarchy

A planner can analyze spe cific products or locations for measures.

A planner can analyze spe cific products on dates for measures.

A planner can analyze spe cific locations on dates for measures.

For the last two charts, planners can display information related to one of these two dimensions:  Location Hierarchy  Product Hierarchy
The selected dimension is applied to all four charts in the section.

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Chart description

Type

Forecast Adjustments (Cumulative) by Comparison - Bar/Column Classification, [Dimension 2]

Distribution of Absolute Forecast Ad justments (Cumulative) by Classifica tion, [Dimension 2]

Donut

The measures defined in this story are listed in the following table:

Measure Name Out of Stocks (%)

Type FORMULA

System Forecast

SUM

Unit Sales

SUM

Total Out of Stock Product Locations

SUM

Total Product Locations

SUM

Adjusted Forecast

SUM

Forecast Adjustments (Cumulative)

SUM

Absolute Forecast Adjustments (Cumu SUM lative)

Positive Forecast Adjustments (Cumu lative)

SUM

Negative Forecast Adjustments (Cumu SUM lative)

Forecast Adjustments (Cumulative)

SUM

Description A planner can look at forecast adjust ments by classification for the selected dimension. A planner can analyze the distribution of absolute forecast adjustments by classification for the selected dimen sion.
Formula/Properties ([Total Out of Stock Product Loca tions]) / ([Total Product Locations]) * 100

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3.31.3 Models 3.31.3.1 Forecasts (SAP__RT_UDF_LH_SALESFORECAST)

Model Name: SAP__RT_UDF_LH_SALESFORECAST

Connection

- Model Description: SAP CARAB: Sales and Forecasts - Planning Enabled: No

- Live data connection to SAP HANA: SAPRTCARAB
- sap.is.retail.analytics.ddf.replenish ment.reporting/SalesForecast view

Dimensions ID Date

Description Date

Mapping/Formula

LocationHierarchyChildNode

Location hierarchy child node

LocationHierarchyChildNodeName ProductHierarchyChildNode

Name of the location hierarchy child node
Product hierarchy child node

ProductHierarchyChildNodeName LocationHierarchyParentNode

Name of the product hierarchy child node
Location hierarchy parent node

LocationHierarchyParentNodeName ProductHierarchyParentNode

Name of the location hierarchy parent node
Product hierarchy parent node

ProductHierarchyParentNodeName

Name of the product hierarchy parent node

Location

Location

LocationName

Name of the location

OrderChannel_ATTRIBUTE

Order channel

OrderChannelName

Name of the order channel

DistributionChannel_ATTRIBUTE

Distribution channel

DistributionChannelName

Name of the distribution channel

SalesOrganization_ATTRIBUTE

Sales organization

SalesOrgDescription

Description of the sales organization

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Model Name: SAP__RT_UDF_LH_SALESFORECAST

Connection

MRPType

Replenishment type

MRPTypeName

Replenishment type description

Product

Product

ProductName Additional Notes About the Model

Name of the product

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) - Time Series Source (P_TSSource) These are input fields that must be entered by the user to execute the SAC story.

3.31.3.2 Forecast Classifier (SAP__RT_UDF_LH_FORECAST_CLASSIFIER)

Model Name: SAP__RT_UDF_LH_FORECAST_CLASSIFIER - Model Description: SAP CARAB: Forecast Classifier - Planning Enabled: No

Dimensions ID Date LocationHierarchyChildNode ProductHierarchyChildNode LocationHierarchyParentNode ProductHierarchyParentNode

Description Date Location hierarchy child node Product hierarchy child node Location hierarchy parent node Product hierarchy parent node

Connection
- Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/ForecastCorrection Classifier view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_FORECAST_CLASSIFIER

Location

Location

Connection

OrderChannel_ATTRIBUTE

Order channel

DistributionChannel_ATTRIBUTE

Distribution channel

SalesOrganization_ATTRIBUTE

Sales organization

SalesOrgDescription

Description of the sales organization

MRPType

Replenishment type

Product

Product

CorrectionClassifier Additional Notes About the Model

Classification

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) - Time Series Source (P_TSSource) These are input fields that must be entered by the user to execute the SAC story.

3.31.3.3 Sales (SAP__RT_UDF_LH_SALES)

Model Name: SAP__RT_UDF_LH_SALES - Model Description: SAP CARAB: Sales - Planning Enabled: No

Dimensions Date LocationHierarchyChildNode ProductHierarchyChildNode

Date Location hierarchy child node Product hierarchy child node

Connection
- Live data connection to SAP HANA: SAPRTCARAB
- sap.is.retail.analytics.ddf.replenish ment.reporting/UnitSales view

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Model Name: SAP__RT_UDF_LH_SALES

LocationHierarchyParentNode

Location hierarchy parent node

ProductHierarchyParentNode

Product hierarchy parent node

Connection

Location

Location

OrderChannel_ATTRIBUTE

Order channel

DistributionChannel_ATTRIBUTE

Distribution channel

SalesOrganization_ATTRIBUTE

Sales organization

SalesOrgDescription MRPType Product Additional Notes About the Model

Description of the sales organization Replenishment type Product

The model contains the following variables: - SAP Client (P_SAPClient) - Logical System (P_LogicalSystem) - Product Hierarchy (P_ProductHierarchy) - Location Hierarchy (P_LocationHierarchy) - Time Series Source (P_TSSource) These are input fields that must be entered by the user to execute the SAC story.

3.31.3.4 Out of Stock(UDF) (SAP__RT_UDF_LH_OUTOFSTOCK)

Model Name: SAP__RT_UDF_LH_OUTOFSTOCK - Model Description: SAP CARAB: Sales - Planning Enabled: No

Dimensions ID Date

Description Date

Connection - Live data connection to SAP HANA: SAPRTCARAB - sap.is.retail.analytics.ddf.replenish ment.reporting/OutOfStock view
Mapping/Formula

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Model Name: SAP__RT_UDF_LH_OUTOFSTOCK

LocationHierarchyChildNode

Location hierarchy child node

ProductHierarchyChildNode

Product hierarchy child node

LocationHierarchyParentNode

Location hierarchy parent node

ProductHierarchyParentNode

Product hierarchy parent node

Location

Location

OrderChannel_ATTRIBUTE

Order channel

DistributionChannel_ATTRIBUTE

Distribution channel

SalesOrganization_ATTRIBUTE

Sales organization

SalesOrgDescription MRPType Product Additional Notes About the Model

Description of the sales organization Replenishment type Product

The model contains the following varia bles:
- SAP Client (P_SAPClient)
- Logical System (P_LogicalSystem)
- Product Hierarchy (P_ProductHierar chy)
- Location Hierarchy (P_LocationHierar chy)
- Time Series Source (P_TSSource)
The model contains the following varia bles:
- SAP Client (P_SAPClient)
- Logical System (P_LogicalSystem)
- Product Hierarchy (P_ProductHierar chy)
- Location Hierarchy (P_LocationHierar chy)
- Time Series Source (P_TSSource)
These are input fields that must be en tered by the user to execute the SAC story.

Connection

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3.32 SAP Utilities: Meter to Cash
3.32.1 Overview
This package covers the business scenario the Meter to Cash of the industry utilities. It is based on data from S/4HANA source systems. The content consists of two packages:  a SAP Analytics Cloud content package (this package) for the visualizations and  a SAP Data Warehouse Cloud package for the data models, remote connection etc. You need both packages to setup this scenario. Check the Data Warehouse Cloud content package and SAP Data Warehouse Cloud content documentation on how to install the SAP Data Warehouse Cloud content.
3.32.2 Architecture and Abstract
The Meter to Cash (M2C) business process is a relevant use case for the Utilities Industry as it allows the company to see its revenue cycle as well as the impact on the end customer. The goal is to ensure that the bills are created on reliable meter reading data and that the customer pays on due date. This SAP Analytics Cloud Content provides overviews and details pages for five sections, Meter Reading, Maintenance, Billing Orders, Payments and Account Receivables. The user has access to a consequent panel of filters to play with the data as per their wish.

 Note
The colored objects are documented in this chapter. In SAP Data Warehouse Cloud, we defined three layers:
 Inbound Layer (IL): A view that recalls only the extractors and no other view.  Harmonization Layer (HL): A view that recalls other views.  Reporting Layer (RL): A view that recalls Harmonization Layers.

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3.32.3 Story

The package contains one story with 12 pages.
Story name: Utilities Dashboard - Meter to Cash Scenario (SAP__UTL_MeterToCash)
These are the 12 pages:
 Home  Utilities Overview  Reading Overview  Reading Details  Maintenance Overview  Maintenance Details  Billing Orders Overview  Billing Orders Details  Payments Overview  Payments Details  Account Receivables Overview  Account Receivables Details

Measure Name
Billed VS Real Percentage in the Harmonized View on Meter Reading Data (HL)

Type Calculated Measure

Formula/Properties
(["Harmonized View on Meter Reading Data (HL)":MR_BILL]-["Harmonized View on Meter Reading Data (HL)":MRESULT])/["Harmonized View on Meter Reading Data (HL)":MRE SULT]

3.32.4 Models
The following SAP Datawarehouse Cloud models are used in the story Utilities Dashboard - Meter to Cash Scenario (SAP__UTL_MeterToCash):  Harmonized View on Meter Reading Data (HL) (SAP_UTL__HL_MeterReadings)  Billing Orders (IL) (SAP_UTL_IL_Billing_Orders)  Maintenance Items (HL) (SAP_UTIL_HL_CDS_IMAINTITEMDATA)  Payments (IL) (SAP_UTIL_IL_Payments)  Business Partner Item (HL) (SAP_UTL_HL_BPItem)
Find more details on the Data Warehouse Cloud data models in the SAP Data Warehouse Cloud content documentation.

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3.33 Sports One Analytics Version 2
3.33.1 Sports One Analytics
SAP Sports One Analytics Contains two folders:  SAP Sports One Analytics  SAP Sports One Analytics (German)
Find the Details of the content below along with the links:  Overall Transparency:
360-degree overview of all sports areas of a club, for example, Team Management, Health, Performance Diagnostics, Load, Training Planning, Scouting, and many others  Deep Insights: 360-degree overview of a team, a position or a single player/athlete  User Experience  Fitting visualizations and context information  Possibility of ad-hoc analyses to go even more into data details to find hidden results
For More Details please refer the below links:  Sports One Documentation  What's New?

3.34 Supply Chain Management for Life Sciences
3.34.1 Architecture and Abstract
The Life Sciences industry is currently at the center of everyone's attention. In a pandemic context it is more critical than ever that the supply chain supporting the industry works in a efficient way, guaranteeing maximum quality of supply in order to minimize risks, while at the same time keeping costs low. This initial release of the content provides broad Supply Chain Management models as well as an inbound quality model, in order to support the Supply Chain for Life Sciences Scenario. The data models are catered for further exploration and drill-downs into relevant dimensions and measures. It is based on data from SAP S/4HANA on premise source systems. This release will focus on a complete foundation for Supply Chain Management related concepts in terms of modelling. It also provides some additional quality metrics related to the inspection lots in order to evaluate the inbound delivery quality. The SAP Analytics Cloud story covers the following topics: - Inbound Deliveries with Inspection Lot quality - Goods Movements

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- Sales Documents - Purchase Orders - Transportation Orders - Manufacturing Orders - Warehouse Tasks - Outbound Deliveries

3.34.2 Stories
The package contains one story with 10 pages: Story name: Life Sciences Supply Chain Dashboard (SAP__SCM_LS_Dashboard) These are the 10 pages: - Home - Inbound Quality - Basic Inbound Scenario - Purchase Orders - Goods Movements - Manufacturing Orders - Sales Documents - Transportation Orders - Warehouse Task - Outbound Deliveries Depending on the data and the filters selection, some measures or calculations might show multiple currencies or units.

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All measures for the 'Home' page, and some presented at the top of the 'Inbound Quality' page are restricted by time (i.e. YTD or Previous Year).
3.34.3 Models
The following SAP Datawarehouse Cloud models are used in the Life Sciences Supply Chain Dashboard (SAP__SCM_LS_Dashboard) story: - Goods Movement (RL) ((SAP_SCM_RL_GoodsMvmt) - Inbound Scenario (RL) (SAP_SCM_RL_InboundScenarioBsc) - Sales Documents (HL) (SAP_SCM_HL_SalesDocument) - Purchase Orders (HL) (SAP_SCM_HL_PurchaseOrders) - Transportation Order Analytics (HL) (SAP_SCM_HL_TransportOrdersANL) - Manufacturing Order (HL) (SAP_SCM_HL_ManufactrgOrder) - Inbound Delivery (RL) (SAP_SCM_RL_InboundDelivery) - Warehouse Task (HL) (SAP_SCM_HL_WarehouseTask) - Outbound Delivery (RL) (SAP_SCM_RL_OutboundDelivery) - Warehouse Task (HL) (SAP_SCM_HL_InboundDelivery) Some details related to customer custom configurations or parametrizations will have to be added to the models and stories in order to be consumed, for example custom material classifications. Find more details on the Data Warehouse Cloud data models in the SAP Data Warehouse Cloud content documentation: https://help.sap.com/doc/4b618244ad5f4fbb8423d08996f8b891/cloud/en-US/ SAP_Data_Warehouse_Cloud_Content.pdf

3.35 Supply Demand Overview for SAP S/4HANA Fashion and Vertical Business
3.35.1 Prerequisites
 The minimum requirement for SAC content should be connected to SAP S/4HANA 2020 FPS0.  All prerequisites and details on SAC views for Supply and Demand Overview are mentioned in the SAP
Note 2979783 .

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3.35.2 Architecture and Abstract
With SAP Analytics Cloud content for the supply and demand overview, fashion companies can leverage consistent business intelligence to drive business decisions on fulfilling customer orders and supply planning based on better visibility into the demand and supply situation.
The content helps you to do the following:  Analyze the overall demand situation and its fulfillment rates  Analyze the supply availability and supply delivery delay and there by optimizing supply chain planning.  Analyze reference rates of sales contracts.  Analyze the reasons for customer returns and rejections.
The SAP Analytics Cloud content for the supply and demand overview is based on a live connection to the SAP S/4HANA Fashion and vertical business with dedicated CDS views.

3.35.3 Digital Boardroom

The following digital boardroom is available: SAP__RFM_SUPPLY_DEMAND_OVERVIEW (Supply Demand Overview Dashboard).
This digital boardroom provides insights into the overall supply and demand situation.
The key features of this digital boardroom are:

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 Overall situation of open demand, open supply and assigned supply, and demand.  Demand with exceptions such as incomplete orders, orders with billing block.  Assignment status of the demand such as open demand, Ready for Delivery (F), on Reservation (R), and so
on.  Visibility of supply availability (early/on-time/delay).
This digital boardroom consists of 2 stories:
 Order Fulfillment Dashboard (SAP__RFM_ORDER_FULFILLMENT_DASHBOARD)  Delivery Performance (SAP__RFM_SDO_DELIVERY_PERFORMANCE)
These stories are documented further in the Stories section.

3.35.4 Stories
The following stories are part of the Retail and Fashion Management - Supply Demand Overview (RFM_SDO) content package:  Order Fulfillment Dashboard (SAP__RFM_ORDER_FULFILLMENT_DASHBOARD)  Delivery Performance (SAP__RFM_SDO_DELIVERY_PERFORMANCE)

3.35.4.1 Order Fulfillment Dashboard (SAP__RFM_ORDER_FULFILLMENT_DASHBOARD)

This story provides visibility of the overall demand and supply situation. The story contains the following pages.
Supply Demand Overview by Location
This page contains information about the following:  Distribution of demand from plant country to customer country  Open demand and open supply per plant location  Amount per country or region dimensions
Fulfillment Overview
This page contains information about the following:  Order fulfillment % per selected dimension  Delivered % per selected dimension  Overall ordered, confirmed, assigned quantities
Supply Coverage Overview
This page contains information about the following:  Supply availability and supply availability delay  Assigned quantities per supply source

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 Assigned quantities per supply availability  Assigned quantities per dimension  Assigned quantities with early or on-time supply per selected dimension
Sales Orders with Exceptions
This page contains information about the following:
 Amount per exception  Amount per selected dimension  Number of items per exception  Number of items per selected dimension
Contracts Overview
This page contains information about the following:
 Open referenced, total assigned, open for reference  Assignment % by supply source  Open contracts, total assigned and total referenced % per selected dimension  Open contracts per expiry range
Rejections and Returns
This page contains information about the following:
 Amount per reason for rejections  Amount per selected dimension  Number of items per selected dimension  Amount per reason for return  Amount per plant  Number of returns item per plant

Measure Name Amount Open Demand
Open Supply Open Demand (%)
Open Supply (%)
Overall Fulfillment (%)
Confirmed as Requested

Type CDS Measure CDS Measure
CDS Measure Calculated Measure
Calculated Measure
Calculated Measure
Calculated Measure

Formula/Properties
Amount
Ordered Quantity - [ Assigned Quantity + Delivered Quantity ]
Supply Quantity - Assigned Quantity
Open Demand Quantity / Ordered Quantity * 100
Open Supply Quantity / Total Supply Quantity * 100
[ Assigned Quantity + Delivered Quan tity ] / Ordered Quantity * 100
Confirmed Quantity / Ordered Quantity * 100

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Measure Name Delivered as Requested

Type Calculated Measure

Fulfilled Quantity Assigned By Physical Supply

Calculated Measure Calculated Measure

Assigned By Early / On Time Supply

Calculated Measure

Total Referenced % (Contracts) Ready for Delivery %

Calculated Measure Calculated Measure

Formula/Properties
Delivered Quantity / Ordered Quantity * 100
Assigned Quantity + Delivered Quantity
Assigned with Physical Supply / Or dered Quantity * 100
Assigned by Early and On Time Sup ply / Ordered Quantity * 100
Referenced / Ordered Quantity * 100
Ready for Delivery / Ordered Quantity * 100

3.35.4.2 Delivery Performance Overview ( SAP__RFM_SDO_DELIVERY_PERFORMANCE)

This story provides an overview of the current situation of demand documents that are ready for delivery and open for delivery. The story contains the following pages. Ready for Delivery This page contains information about the following:  Ready for delivery for next 7 days.
 Note
You can specify your own value for the number of days according to your requirements.
 Ready for delivery per selected dimension  Assigned quantities with Ready for Delivery (F), Open for Release Check (O), On Reservation (R) and On
Hold (H) statuses Open Deliveries This page contains information about the following:  Open deliveries for next 15 days
 Note
You can specify your own value for the number of days according to your requirements.
 Delivered quantities per demand type  Delivered quantities per delivery priority  Delivered quantities per document type

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 Delivered quantities per selected dimension

Measure Name Ready for Delivery %

Type Calculated Measure

3.35.5 Models

Formula/Properties
Ready for Delivery / Ordered Quantity * 100

Demand Overview
Model Name: SAP__RFM_SDO_DEMAND Model Description: Demand Overview Planning Enabled: No

Connection
Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNALYTSTOTDMND CDS Query view name: C_ARunAnlytsTotDmndQry

Supply Coverage

Model Name: SAP__RFM_SDO_SUPPLY_COVERAGE Model Description: Supply Coverage Planning Enabled: No

Connection
Connection Analytical Query: 2CCARNALYTSALLAGQ CDS Query view name: C_ARunAnlytsAllAssgmtQuery Connection Type: Live connection SAP S/4HANA

Demand and Supply Assignment Details

Model Name: SAP__RFM_SDO_ASSIGNMENT

Connection

Model Description: Demand and Supply Assignment Details Connection Type: Live connection SAP S/4HANA

Planning Enabled: No

Connection Analytical Query: 2CCARNALYTSASGMTQY

CDS Query view name: C_ARunAnlytsSupAssgmtQry

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Contracts Overview
Model Name: SAP__RFM_SDO_CONTRACTS Model Description: Contracts Overview Planning Enabled: No

Connection
Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNALYTSCONTR CDS Query view name: C_ARunAnlytsSlsContrQry

Overview of Demand and Supply

Model Name: SAP__RFM_SDO_OVERVIEW Model Description: Overview of Demand and Supply Planning Enabled: No

Connection
Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CARNANLYTSADOVWQ CDS Query view name: C_ARunAnlytsSupDmndOvwQry

Sales Orders with Exceptions

Model Name: SAP__RFM_SDO_EXCEPTION_ORDERS Model Description: Sales Orders with Exceptions Planning Enabled: No

Connection
Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNALYTSOBLK CDS Query view name: C_ARunAnlytsBlkdSlsOrdQuery

Rejected Sales Orders
Model Name: SAP__RFM_SDO_REJECTION Model Description: Rejected Sales Orders Planning Enabled: No
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Connection
Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNANLYTSREJSO CDS Query view name: C_ARunAnlytsSlsOrdRejection

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Return Sales Orders
Model Name: SAP__RFM_SDO_RETURNS Model Description: Return Sales Orders Planning Enabled: No
Open Deliveries
Model Name: SAP__RFM_OPEN_DELIVERIES Model Description: Open Deliveries Planning Enabled: No
Supply Overview
Model Name: SAP__RFM_SDO_SUPPLY Model Description: Supply Overview Planning Enabled: No

Connection Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNANLYTSRETSO CDS Query view name: C_ARunAnlytsSalesReturns
Connection Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNALYTSOPDLV CDS Query view name: C_ARunAnlytsOpenDelivQuery
Connection Connection Type: Live connection SAP S/4HANA Connection Analytical Query: 2CCARNANLYTSADSUPQ CDS Query view name: C_ARunAnlytsTotSupQry

3.36 Trade Management (TM)
3.36.1 Architecture and Abstract
Retailer View: Typically, in consumer products industries, the Key Account Manager (KAM) is frequently talking to the retailer to review the business plan progress as well as discuss upcoming and completed activities such as trade promotions. It is important that a KAM has key information on the plan from a retailer's perspective. That includes data such as retailer profit and retailer margin. Typically, the retailer uses a formula to calculate his margin that is different from the one the manufacturer uses. In addition, sell-out data is very important for this scenario.

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Architecture: SAP Trade Management ­ Monthly Sales Review/ Sell-In SellOut Analysis / Retailer View

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Trade Management ­ Sell-in/Sell Out Comparison Report

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Architecture: SAP Trade Management ­ Retailer View

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Architecture: SAP Trade Management ­ Historical Volume Decomposition / Holdout Report
Architecture: SAP Trade Management ­ Historical Volume Decomposition / Holdout Report

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Architecture: SAP Trade Management ­ Trade Promotion Details

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3.36.2 Stories
The following stories are included in the content package:
 SAP Trade Management: General - Monthly Sales Review (SAP__TM_GEN_PROFIT_LOSS_MSR)  SAP Trade Management: General - Sell-In Sell-Out Analysis (SAP__TM_GEN_SELL_IN_SELL_OUT)  SAP Trade Management: General - Retailer View (SAP__TM_GEN_RETAILER_VIEW)  SAP Trade Management: General - Holdout Test (SAP__TM_UDF_HOT)  SAP Trade Management: General - Historical Volume Decomposition (SAP__TM_UDF_HVD)  SAP Trade Management: General - Market Share - Live (SAP__TM_GEN_MARKETSHARE_LIVE)  SAP Trade Management: General - Market Share - Acquisition (SAP__TM_GEN_MARKETSHARE_DAQ)  Trade Management - Trade Promotion Details (SAP__TM_GEN_TRADE_DETAILS)

3.36.2.1 General - Monthly Sales Review (SAP__TM_GEN_PROFIT_LOSS_MSR)

The Monthly Sales Review Dashboard and the specific detailed KPI pages are used by consumer products manufacturers to review the performance of retailers and categories right down to product level. The key audience targeted comprises sales directors and key account managers.

Measure Name  LE vs PY

Type Calculated Measure

 LE vs PY (%)  LE vs Target

Calculated Measure Calculated Measure

 LE vs Target (%) Sell-In Total PY

Calculated Measure Restricted Measure

Promo Invest Over GSV (%) - LE

Restricted Measure

Promo Invest Over GSV (%) - Target

Restricted Measure

Formula/Properties
[SAP__TM_GEN_LH_PLAN_TRANS POSE_SDM:Latest_Estimates] [SAP__TM_GEN_LH_PLAN_TRANS POSE_SDM:Previous_Year]
 LE vs PY / [Previous Year]
[SAP__TM_GEN_LH_PLAN_TRANS POSE_SDM:Latest_Estimates] [SAP__TM_GEN_LH_PLAN_TRANS POSE_SDM:Target]
 LE vs Target / [Target]
[Sell_In_Total] restricted by [d/ Version_2] = ('Previous Year') ,[d/ VERSION] )
Promo Invest Over GSV (%) [Promo_In vest_Over_GSV_Percentage] restrict ed by [d/Version_2] on [Latest Estimates]
Promo Invest Over GSV (%) [Promo_In vest_Over_GSV_Percentage] restricted by [d/Version_2] on [Target]

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3.36.2.2 General - Sell-In Sell-Out Analysis (SAP__TM_GEN_SELL_IN_SELL_OUT)

This story allows the user to get an overview on the ratio of the Sell-In Volume (shipped to the retailer) and the Sell-Out Volume (sold to the consumer).

Measure Name Adjusted Sell-Out
Moving Avg Sell-In Moving Avg Sell-Out Retail Coverage Factor
Avg Coverage Factor

Type Calculated Measure
Calculated Measure Calculated Measure Calculated Measure
Calculated Measure

Formula/Properties
[SAP__TM_GEN_LH_PLAN_PROFIT LOSS:Sell_Out_Total_BaseUplift] * [Avg Coverage Factor]
Average ([Sell-In Total])
Average ([Sell-Out Total])
[Moving Avg Sell-Out] / [Moving Avg Sell-In]
Average ([Retail Coverage Factor])

3.36.2.3 General - Retailer View (SAP__TM_GEN_RETAILER_VIEW)
Typically, in consumer products industries, the Key Account Manager (KAM) is frequently talking to the retailer to review the business plan progress as well as discuss upcoming and completed activities such as trade promotions. It is important that a KAM has key information on the plan from a retailer's perspective. That includes data such as retailer profit and retailer margin. Typically, the retailer uses a formula to calculate his margin that is different from the one the manufacturer uses. In addition, sell-out data is very important for this scenario.

3.36.2.4 General - Holdout Test (SAP__TM_UDF_HOT)
Every time data is streamed into the UDF science engine and a new statistical model is created, the accuracy of the model itself and, most important of all, the forecast power needs to be evaluated. If the level of accuracy is not as high as expected, the data scientist or analyst will want to iterate on the customer product combinations that account for a substantial share of unit sales. It is often helpful to review the time series in order to identify data issues or what's known as model tweaking potential. It's essential in this step to focus on the most important items, that is products and customers with high unit sales paired with a high MAPE.

3.36.2.5 General - Historical Volume Decomposition (SAP__TM_UDF_HVD)
It is essential to know which merchandizing tactics, such as secondary displays or features, generate the best uplift. Of course, this is also true of the retailer shelf price because understanding how consumer price

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elasticity behaves allows better decisions to be made, for example, when a promotion is created. Having the right merchandizing tactics and retailer shelf prices in a promotion ultimately helps to cut costs because knowledge about a frontpage feature not generating more uplift than say a normal page keeps the investment smaller. Knowing the price elasticity can help to find the right price to generate the necessary uplift to meet sales targets, for example.

3.36.2.6 General - Market Share - Live (SAP__TM_GEN_MARKETSHARE_LIVE)
Provides an overview of current market shares across categories, sub-categories, manufacturers, brands, and sub-brands. See who wins and who loses in the market and where customers are moving to within the categories.

3.36.2.7 General - Market Share - Data Acquisition (SAP__TM_GEN_MARKETSHARE_DAQ)
This story is identical to story SAP__TM_GEN_MARKETSHARE_LIVE besides the underlying model. This story is based on a model with imported data.

3.36.2.8 Trade Promotion Details (SAP__TM_GEN_TRADE_DETAILS)

Measure Name Sell-In Total
Sell-Out Total
Average List Price Average Retailer Shelf Price

Type Calculated Measure
Calculated Measure
Calculated Measure Calculated Measure

Formula/Properties
[_JBPB_AVOLB_T] + [_JBPB_AVOLU_T]
[_JBPB_AVSOB_T] + [_JBPB_AV SOU_T]
Average ([List Price])
Average ([Retailer Shelf Price])

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3.36.2.9 Trade Promotion Details (SAP__TM_GEN_TRADE_DETAILS_SDM)

Measure Name Sell-In Total
Sell-Out Total
Average List Price Average Retailer Shelf Price

Type Calculated Measure
Calculated Measure
Calculated Measure Calculated Measure

Formula/Properties
[_JBPB_AVOLB_T] + [_JBPB_AVOLU_T]
[_JBPB_AVSOB_T] + [_JBPB_AV SOU_T]
Average ([List Price])
Average ([Retailer Shelf Price])

3.36.3 Models
3.36.3.1 SAP Analytics Cloud Reporting (SAP__TM_GEN_LH_PLAN_PROFITLOSS)

Model Name: SAP__TM_GEN_LH_PLAN_PROFITLOSS
 Model Description: Trade Management: SAC Reporting  Planning Enabled: No

Dimensions Name Time 0BP_GRP 0CRM_MKTELM 0CRM_PROD 0CRM_SALORG 0DISTR_CHAN 0DIVISION /JBPB/PLAN /JBPB/SCEN /JBPB/TUCUPRD /JBPB/VERSION /JBPB/TUCU

Description Time Dimension Account Marketing Element Product Sales Organization Distribution Channel Division Plan ID Scenario ID TU CU Product JBP Version Unit of Data

Connection
 Connection Types: Live Data Con nection to SAP HANA or SAP HCP via Apache HTTP Server
 Name of the HANA View: CV_PTGT_TPM_SAC
Mapping

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Model Name: SAP__TM_GEN_LH_PLAN_PROFITLOSS

Version

Version or Source of Data

Additional Notes about the model

N/A

 Note
* Private dimension and other dimensions are public.

Trade Promotion SAC reporting: KPI's defined in Data source

Measure Name Sell-In Total

Type Calculated Measure

Sell-In Base Sell-In Uplift Sell-Out Total

Calculated Measure Calculated Measure Calculated Measure

Sell-Out Base Sell-Out Uplift List Price Gross Sales Value Net Net Value Total

Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure

Slotting Fee(ON)

Calculated Measure

Slotting_Fee_Discount_pU Slotting Fee Discount (%)

Calculated Measure Calculated Measure

Promo Discounts (ON)

Calculated Measure

Promo Discount (pU)

Calculated Measure

Promo Discount (%)

Calculated Measure

Connection
Formula/Properties [_JBPB_AVOLB_T] + [_JBPB_AVOLU_T] [_JBPB_AVOLB_T] [_JBPB_AVOLU_T] [_JBPB_AVSOB_T] + [_JBPB_AV SOU_T] [_JBPB_AVSOB_T] [_JBPB_AVSOU_T] [_JBPB_ARLIST] / [Sell_In_Total] [Sell_In_Total] * [List_Price] [Net_Invoice_Value_Total] ­ [Off_In voice_Total] (([Slotting_Fee_Discount_pU] + [Slot ting_Fee_Discount_percentage] * [List_Price]/100)) * [Sell_In_Total] Case([Sell_In_Total],0,0, ([_JBPB_ARPLF_I]/[Sell_In_Total])) Case(abs([Gross_Sales_Value]),0,0, (([_JBPB_APPLF_I]*100)/ abs([Gross_Sales_Value]))) ([Promo_Discount_pU]+[Promo_Dis count_percentage]*[List_Price]/ 100)*[_JBPB_AVPRM_T] Case([_JBPB_AVPRM_T],0, 0 , ([_JBPB_AREXV_I]/ [_JBPB_AVPRM_T])) case(abs([Promo_GSV]),0,0, (([_JBPB_APEXV_I]*100)/ abs([Promo_GSV])))

890

PUBLIC

Content Package User Guide Industries

Measure Name Slotting Fee (OFF)
Slotting Fee Rebate (pU) Slotting Fee Rebate (%)
Slotting Fee Rebates (Fixed) Promo Rebates (OFF)
Promo Rebate (pU)
Promo Rebate (%)
Promo Rebate (Fixed) On Invoice Total Net Invoice Value Total Net Invoice Value (pU) Off Invoice Total Net Net Value Total Net Net Value (pU) Base Investment Total Promotion Investment Total Promoted RSP (per CU)
Regular RSP (per CU) Retailer Shelf Price (per CU)

Type Calculated Measure
Calculated Measure Calculated Measure
Calculated Measure Calculated Measure
Calculated Measure
Calculated Measure
Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure
Calculated Measure Calculated Measure

Content Package User Guide Industries

Formula/Properties
(([Slotting_Fee_Rebate_pU]+[Slot ting_Fee_Rebate_percent age])*([List_Price]/100))*[Sell_In_To tal]+[_JBPB_LPLF_O]
Case([Sell_In_Total],0,0, ([_JBPB_ARPLF_O]/[Sell_In_Total]))
case(abs([Gross_Sales_Value]),0,0, (([_JBPB_APPLF_O]*100)/ abs([Gross_Sales_Value])))
[_JBPB_LPLF_O]
(([Promo_Rebate_pU]+[Promo_Re bate_percentage])*([List_Price]/ 100))*[_JBPB_AVPRM_T]+ [_JBPB_LCPP_O]
Case([_JBPB_AVPRM_T],0,0, ([_JBPB_ARCPP_O]/ [_JBPB_AVPRM_T]))
Case([Promo_GSV],0,0, (([_JBPB_APCPP_O]*100)/ abs([Promo_GSV])))
[_JBPB_LCPP_O]
[Slotting_Fee_ON] + [Promo_Dis counts_ON]
[Gross_Sales_Value] ­ [On_Invoice_To tal]
[Net_Invoice_Value_Total] / [Sell_In_Total]
[Slotting_Fee_OFF] + [Promo_Re bates_OFF]
[Net_Invoice_Value_Total] ­ [Off_In voice_Total]
[Net_Net_Value_Total] / [Sell_In_Total]
[Slotting_Fee_ON] + [Slot ting_Fee_OFF]
[Promo_Discounts_ON] + [Promo_Re bates_OFF]
Case([Sell_In_Total_CU],0,0, ([_JBPB_ARSVPR]/[Sell_In_To tal_CU]))
Case([Sell_In_Total_CU],0,0, ([_JBPB_ARSV]/[Sell_In_Total_CU]))
If([Promoted_RSP_per_cU]=0,[Regu lar_RSP_per_cU],[Pro moted_RSP_per_cU])

PUBLIC

891

Measure Name Customer Profit (pU)
Customer Profit Total Customer Profit (%)

Type Calculated Measure
Calculated Measure Calculated Measure

Customer ROI (%)

Calculated Measure

Cost per Incremental Unit

Calculated Measure

Store Open/Close (%)

Calculated Measure

Store Open/Close Volume Change Distribution (%)

Calculated Measure Calculated Measure

Distribution Volume Change Base Volume Sub-Total

Calculated Measure Calculated Measure

Previous Year Baseline Sellout (CU)

Calculated Measure

Previous Year Uplift Sellout (CU)

Calculated Measure

PY Retail Price (per CU)

Calculated Measure

892

PUBLIC

Formula/Properties
[Cus tomer_profit_pu1]*Case([Sell_Out_To tal],0,0,([Sell_Out_Total_CU]/ [Sell_Out_Total]))
[Customer_Profit_pU]*[Sell_Out_Total]
Case(abs([Re tai ler_Shelf_Price_per_cU]*([4BJBPB_C_ PTGT_AVSONPC] +[4BJBPB_C_PTGT_AVSOP_C])),0,0, (([Customer_Profit_Total]*100)/ abs([Re tai ler_Shelf_Price_per_cU]*([4BJBPB_C_ PTGT_AVSONPC] +[4BJBPB_C_PTGT_AVSOP_C]))))
Case([Customer_ROI_1],0,0,([Cus tomer_ROI_2]*100/[Cus tomer_ROI_1]))
Case([_JBPB_AVOLU_T],0,0,([Promo tion_Investment_Total]/ [_JBPB_AVOLU_T]))
Case ([_JBPB_PY_VOLB], 0 , 0, ([_JBPB_ASGRWTH]/ [_JBPB_PY_VOLB]))
[Store_Open_Close_percent age]*[_JBPB_PY_VOLB]/100
Case ([_JBPB_PY_VOLB], 0 , 0, ([_JBPB_ADISTRI]/ [_JBPB_PY_VOLB]))
[_JBPB_PY_VOLB]*[Distribution_per centage]/ 100
[_JBPB_PY_VOLB]+ [Store_Open_Close_Volume_Change]+ [Distribution_Volume_Change]
[_JBPB_PY_SOB]*Case([_JBPB_CU FACTD],0,0,([_JBPB_CUFACTN]/ [_JBPB_CUFACTD]))
[_JBPB_PY_SOU]*Case([_JBPB_CU FACTD],0,0,([_JBPB_CUFACTN]/ [_JBPB_CUFACTD]))
CASe([PY_Sell_Out_Total_CU],0,0, [_JBPB_PY_RSP]/[PY_Sell_Out_To tal_CU])
Content Package User Guide Industries

Measure Name PY Sell-Out Total Vol CU
Retail Price Increase (%)

Type Calculated Measure
Calculated Measure

Every Day RSP Volume Change Category (%)
Category Volume Change Other Drivers (%)
Other Volume Change PY Base Volume Change (%)

Calculated Measure Calculated Measure
Calculated Measure Calculated Measure
Calculated Measure Calculated Measure

PY Uplift Volume Change (%)

Calculated Measure

PY Sell-Out Total Vol PY Sell-Out Total Change (%)

Calculated Measure Calculated Measure

PY Base Volume Advertising & Promotion (%)
Adv. & Promo Volume Change
Cost of Goods Sold Promo Invest Over GSV (%)
Internal Profit (pU)
Internal Profit Total Internal Profit (%)

Calculated Measure Calculated Measure
Calculated Measure
Calculated Measure Calculated Measure
Calculated Measure
Calculated Measure Calculated Measure

Content Package User Guide Industries

Formula/Properties
[Previous_Year_Baseline_Sellout_CU]+ [Previous_Year_Uplift_Sellout_CU]
Case([PY_Retail_Price_per_CU],0,0, (([Retailer_Shelf_Price_per_cU][PY_Retail_Price_per_CU])/([PY_Re tail_Price_per_CU]*100)))
[_JBPB_AVSOI_T]
Case([_JBPB_PY_VOLB],0,0, ([_JBPB_ACATEG]/ [_JBPB_PY_VOLB]))
[Base_Volume_Sub_Total]*[Cate gory_percentage]/100
Case([_JBPB_PY_VOLB],0,0, [_JBPB_AOTHERS]/ [_JBPB_PY_VOLB])
[Base_Volume_Sub_To tal]*[Other_Drivers_percentage]/100
Case([_JBPB_PY_VOLB],0,0, ([_JBPB_AVOLB_T][_JBPB_PY_VOLB])/ [_JBPB_PY_VOLB]*100)
Case([_JBPB_PY_VOLU],0,0, ([_JBPB_AVOLU_T][_JBPB_PY_VOLU])/ [_JBPB_PY_VOLU]*100)
[_JBPB_PY_SOB]+[_JBPB_PY_SOU]
Case([PY_Sell_Out_Total_Vol],0,0, ([Sell_Out_Total_BaseUplift][PY_Sell_Out_Total_Vol])/ [PY_Sell_Out_Total_Vol]*100)
[_JBPB_PY_VOLB]
Case([PY_Base_Volume],0,0, ([_JBPB_AADVP]/[PY_Base_Volume]))
([Base_Volume_Sub_Total]*[Advertis ing_and_Promotion_percentage])/100
[_JBPB_ACOGS] / [Sell_In_Total]
[Promotion_Investment_Total] / [Gross_Sales_Value]
[Net_Net_Value_pU] ­ [Cost_of_Goods_Sold]
[Internal_Profit_pU] * [Sell_In_Total]
Case([Net_Net_Value_pU],0,0,(([Inter nal_Profit_pU]*100/ abs([Net_Net_Value_pU]))))

PUBLIC

893

Measure Name Total Investment
Innovation Baseline Return on Investment (%)

Type Calculated Measure
Calculated Measure Calculated Measure

Formula/Properties
[Base_Investment_Total]+[Promo tion_Investment_Total]
[_JBPB_AVINV_T]
(([Net_Net_Value_Total]] * 100) / abs([Base_Investment_Total] + [Pro motion_Investment_Total]))

3.36.3.2 SAC Reporting (SAP__TM_GEN_LH_PLAN_PROFITLOSS_SDM)

Model Name: SAP__TM_GEN_LH_PLAN_PROFITLOSS_SDM
 Model Description: Trade Management: SAC Reporting  Planning Enabled: No

Dimensions

Name

Description

Time

Time Dimension

0BP_GRP

Account

0CRM_MKTELM

Marketing Element

0CRM_PROD

Product

0CRM_SALORG

Sales Organization

0DISTR_CHAN

Distribution Channel

0DIVISION

Division

/JBPB/PLAN

Plan ID

/JBPB/SCEN

Scenario ID

/JBPB/TUCUPRD

TU CU Product

/JBPB/VERSION

JBP Version

/JBPB/TUCU

Unit of Data

Version

Version or Source of Data

Additional Notes about the model

Provide additional information about the model if needed

Connection
 Connection Types: Live Data Con nection to SAP HANA or SAP HCP via Apache HTTP Server
 Name of the HANA View: CV_PTGT_TPM_SAC_SDM
Mapping

894

PUBLIC

Content Package User Guide Industries

3.36.3.3 SAC Reporting Transpose Data (SAP__TM_GEN_LH_PLAN_TRANSPOSE_SDM)

Model Name: SAP__TM_GEN_LH_PLAN_TRANSPOSE_SDM
 Model Description: Trade Management: SAC Reporting Transpose Data  Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0BP_GRP 0CRM_MKTELM 0CRM_PROD 0CRM_SALORG 0DISTR_CHAN 0DIVISION /JBPB/PLAN /JBPB/SCEN /JBPB/TUCUPRD /JBPB/VERSION /JBPB/TUCU Version Additional Notes about the model None

Description
Description Time Dimension Account Marketing Element Product Sales Organization Distribution Channel Division Plan ID Scenario ID TU CU Product JBP Version Unit of Data Version or Source of Data

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PTGT_SAC_TRANSPOSE_SDM
Mapping/Formula
Mapping

Content Package User Guide Industries

PUBLIC

895

3.36.3.4 SAP Analytics Cloud Reporting Transpose Data (SAP__TM_GEN_LH_PLAN_TRANSPOSE)

Model Name: SAP__TM_GEN_LH_PLAN_TRANSPOSE
 Model Description: Trade Management: SAC Reporting Transpose Data  Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0BP_GRP 0CRM_MKTELM 0CRM_PROD 0CRM_SALORG 0DISTR_CHAN 0DIVISION /JBPB/PLAN /JBPB/SCEN /JBPB/TUCUPRD /JBPB/VERSION /JBPB/TUCU Version Additional Notes about the model N/A

Description
Description Time Dimension Account Marketing Element Product Sales Organization Distribution Channel Division Plan ID Scenario ID TU CU Product JBP Version Unit of Data Version or Source of Data

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PTGT_SAC_TRANSPOSE
Mapping/Formula
Mapping

Trade Promotion SAP Analytics Cloud Transpose: KPI's defined in Data source

Measure Name Latest_Estimate_RKF
Actuals_RKF

Type Restricted Measure
Restricted Measure

Formula/Properties
Restrict[Value] WHERE VERSION = 'Latest Estimates'
Restrict[Value] WHERE VERSION = 'Ac tuals

896

PUBLIC

Content Package User Guide Industries

Measure Name YTG_RKF Plan_RKF Previous Year Target_RKF Latest Estimates Actuals YTG Previous Year Plan Target

Type Restricted Measure Restricted Measure Restricted Measure Restricted Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure Calculated Measure

Formula/Properties
Restrict[Value] WHERE VERSION = 'YTG
Restrict[Value] WHERE VERSION = 'Plan'
Restrict[Value] WHERE VERSION = 'Previous Year'
Restrict[Value] WHERE VERSION = 'Target'
If(isnull([Latest_Estimate_RKF]),0,[Lat est_Estimate_RKF])
If(isnull([Actuals_RKF]),0,[Ac tuals_RKF])
If(isnull([YTG_RKF]),0,[YTG_RKF])
If(isnull([Previous_Year_RKF]),0,[Previ ous_Year_RKF])
If(isnull([Plan_RKF]),0,[Plan_RKF])
If(isnull([Target_RKF]),0,[Target_RKF])

3.36.3.5 MAPE histogram by product/location (SAP__TM_UDF_LH_MAPE_HIST_PL)

Model Name: SAP__TM_UDF_LH_MAPE_HIST_PL
 Model Description: MAPE histogram by product/location  Planning Enabled: No

Account Dimension ID AMOUNT_PROD_LOCS
SUM_UNIT_SALES MAPE_GROUP_SORT
Dimensions Name MANDT PROD_ID

Description Amount Product/Location Combina tions Unit Sales MAPE group the can be used in ad vanced sorting
Description Client Product GUID

Connection  SAP HANA Live Connection  Name of Report:
sap.is.ddf.tma.add_in sights.TMA_MAPE_HIST_PL_Q
Mapping/Formula Aggregation: Sum
Aggregation: Sum Aggregation: Min
Mapping

Content Package User Guide Industries

PUBLIC

897

Model Name: SAP__TM_UDF_LH_MAPE_HIST_PL

LOC_ID

Location GUID

MAPE_GROUP_MIN

MAPE Group Low

MAPE_GROUP_MAX

MAPE Group High

SALES_UOM

Unit of Measure

MAPE_GROUP

MAPE Group

EXT_PROD_ID

Product ID

EXT_LOC_ID

Location ID

EXT_PROD_NAME

Product Name

EXT_PRODLOC_ID

Product/Location Combination

Additional Notes about the model

N/A

Connection

3.36.3.6 Combined detailed model/forecast timeseries (SAP__TM_UDF_LH_COMB_TSD)

Model Name: SAP__TM_UDF_LH_COMB_TSD

Connection

 Model Description: Combined detailed model/forecast timeseries  Planning Enabled: No

 SAP HANA Live Connection
 Name of Report: sap.is.ddf.tma.add_in sights::TMA_COMB_TSD_Q

Account Dimension ID COUPON_INSTORECOUPON_ACV COUPON_INSTORECOUPON_UL DISPLAY_FOURWAY_ACV DISPLAY_FOURWAY_UL DUS_BASE DUS_CANN DUS_HOL DUS_OFR_TACTIC DUS_OTHER_DIF DUS_PRICE DUS_SEAS FC_VAL

Description

Mapping/Formula

Coupon/Instore Coupon Uplift ACV

Coupon/Instore Coupon Uplift Volume

Display/Fourway Uplift ACV

Display/Fourway Uplift Volume

Baseline Volume

Cannibalization Volume

Holiday Volume

Tactic Volume

Other Volume

Price Volume

Seasonality Volume

Total Demand From Forecast

898

PUBLIC

Content Package User Guide Industries

Model Name: SAP__TM_UDF_LH_COMB_TSD

FC_VAL_HIGH

Total Demand From Forecast High

FC_VAL_LOW

Total Demand From Forecast Low

FEATURE_ROLLBACK_ACV

Feature/Rollback Uplift ACV

FEATURE_ROLLBACK_UL

Feature/Rollback Uplift Volume

MOD_FC_VAL

Total Demand Combined

MOD_VAL

Total Demand From Model

MOD_VAL_HIGH

Total Demand From Model High

MOD_VAL_LOW

Total Demand From Model Low

PROMO_SHELF_PRICE

Promoted Shelf Price

REGULAR_SHELF_PRICE

Regular Shelf Price

STORE_ACV

Store ACV

TPR_ACV

TPR ACV

TPR_UL

TPR Uplift Volume

UNIT_SALES

Unit Sales

Dimensions

Name

Description

MANDT

Client

PROD_ID

Product GUID

LOC_ID

Location GUID

SALES_ORG_ID

Sales Organization

DISTR_CHNL_ID

Distribution Channel

ORDER_CHNL_ID

Order Channel

TSTMP_FR

Timestamp From

OFR_ID

Offer ID

EXT_EVENT_ID

Event ID

TSTMO_TO

Timestamp To

EXT_PROD_ID

Product ID

EXT_LOC_ID

Location ID

UOM

UoM

CURRENCY

Currency

PROD_NAME

Product Name

EXT_PRODLOC_ID

Product/Location Combination

FCST_FLAG

Forecast Flag

DATE_FR_DATS

Date From

Connection Mapping

Content Package User Guide Industries

PUBLIC

899

Model Name: SAP__TM_UDF_LH_COMB_TSD

DATE_TO_DATS

Date To

Additional Notes about the model

N/A

Connection

3.36.3.7 Model quality by product/location/week (SAP__TM_UDF_LH_MOD_QUAL)

Model Name: SAP__TM_UDF_LH_MOD_QUAL
 Model Description: Model quality by product/location/week  Planning Enabled: No

Account Dimension ID UNIT_SALES FC_VAL ABS_ERROR MAPE BIAS REGULAR_SHELF_PRICE PROMOTED_SHELF_PRICE Dimensions Name MANDT PROD_ID LOC_ID TSTMP_FR EXT_PROD_ID PROD_NAME EXT_LOC_ID TSTMP_TO SALES_UOM EXT_PRODLOC_ID DATE_FR_DATS

Description Unit Sales Total Demand From Forecast Absolute Error Mean Average Percentage Error Bias Regular Shelf Price Promoted Shelf Price
Description Client Product GUID Location GUID Timestamp From Product ID Product Name Location ID Timestamp To Unit of Measure Product/Location Combination Date From

Connection  SAP HANA Live Connection  Name of Report:
sap.is.ddf.tma.add_in sights.TMA_MOD_QUAL_Q
Mapping/Formula Aggregation: Sum Aggregation: Sum Aggregation: Sum Aggregation: Avg Aggregation: Avg Aggregation: Avg Aggregation: Avg
Mapping

900

PUBLIC

Content Package User Guide Industries

Model Name: SAP__TM_UDF_LH_MOD_QUAL

DATE_TO_DATS

Date To

FCST_FLAG

Forecast Flag

CURRENCY

Currency

Additional Notes about the model

N/A

Connection

3.36.3.8 Price demand function (SAP__TM_UDF_LH_PRC_FC)

Model Name: SAP__TM_UDF_LH_PRC_FC
 Model Description: Price demand function  Planning Enabled: No

Account Dimension ID PRICE_UPLIFT_VOLUME BASELINE_VOLUME TOTAL_VOLUME Dimensions Name MANDT PROD_ID LOC_ID SALES_ORG_ID DISTR_CHNL_ID ORDER_CHNL_ID RSP_PERCENTAGE UOM EXT_PROD_ID EXT_LOC_ID EXT_PRODLOC_ID Additional Notes about the model N/A

Description Price Uplift Volume Baseline Volume Total Volume
Description Client Product GUID Location GUID Sales Organization Distribution Channel Order Channel Retail Store Price Percentage Unit of Measure Product ID Location ID Product/Location Combination

Connection  SAP HANA Live Connection  Name of the Report:
sap.is.ddf.tma.add_in sights.TMA_PRC_FC_Q
Mapping/Formula Aggregation: Sum Aggregation: Sum Aggregation: Sum
Mapping

Content Package User Guide Industries

PUBLIC

901

3.36.3.9 Market Share (SAP__TM_GEN_LB_MARKET_SHARE_01)

Market Share (SAP__TM_GEN_LB_MARKET_SHARE_01) Connection

 Model Description: The model shows sales and units, the value of products, the classification, and the share of each product.
 Planning Enabled: No

LIVE Based on query /DDF/C01_GMRD_001

Additional Notes about the model Replicate the Query /DDF/C01_GMRD_001 as model into SAP Analytics Cloud.

Information on the query /DDF/C01_GMRD_001: The measures are built on a concept comprising a base measure and time periods.
Measure
 Sales <Base Measure> <Time Periods>  Sales <Base Measure> <Time Periods>  % vs. PY  Share <Base Measure> <Time Periods>  Share <Base Measure> <Time Periods>  % vs. PY
Base Measure
 Sales (Value)  Sales (Units)
Restrictions <Time Periods>
 MAT: Current Month -11 ­ Current Month  MAT-1: Current Month -23 ­ Current Month-12  P3M: Current Month -2 ­ Current Month  P3M-1: Current Month -14 ­ Current Month-12  P1M: Current Month  P1M-1: Current Month-12

Measure Name Baseline Sales (Units)
Baseline Sales (Value) Sales (Units) Sales (Value) Sales (Value) (MAT) Sales (Value) (MAT-1)

Type
Restricted Measure Restricted Measure

Formula/Properties
Current Month -11 ­ Current Month Current Month -23 ­ Current Month-12

902

PUBLIC

Content Package User Guide Industries

Measure Name Sales (Value) (MAT)  % vs. PY

Type Calculated Measure

Share (Value) (MAT)

Calculated Measure

Share (Value) (MAT-1)

Calculated Measure

Share (Value) (MAT)  % vs. PY

Calculated Measure

Sales (Value) (P3M) Sales (Value) (P3M-1) Sales (Value) (P3M)  % vs. PY

Restricted Measure Restricted Measure Calculated Measure

Share (Value) (P3M)

Calculated Measure

Share (Value) (P3M-1)

Calculated Measure

Share (Value) (P3M)  % vs. PY

Calculated Measure

Sales (Value) (P1M) Sales (Value) (P1M-1) Sales (Value) (P1M)  % vs. PY

Restricted Measure Restricted Measure Calculated Measure

Share (Value) (P1M)

Calculated Measure

Content Package User Guide Industries

Formula/Properties
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Share (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Share (<Base Measure>) (<Time Period>)] ­ [Share (<Base Measure>) (<Time Period-1>)]
Current Month -2 ­ Current Month
Current Month -14 ­ Current Month-12
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
- [Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
- [Share (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Share (<Base Measure>) (<Time Period>)] ­ [Share (<Base Measure>) (<Time Period-1>)]
Current Month
Current Month-12
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]

PUBLIC

903

Measure Name Share (Value) (P1M-1)

Type Calculated Measure

Share (Value) (P1M)  % vs. PY

Calculated Measure

Sales (Unit) (MAT) Sales (Unit) (MAT-1) Sales (Unit) (MAT)  % vs. PY

Restricted Measure Restricted Measure Calculated Measure

Share (Unit) (MAT)

Calculated Measure

Share (Unit) (MAT-1)

Calculated Measure

Share (Unit) (MAT)  % vs. PY

Calculated Measure

Sales (Unit) (P3M) Sales (Unit) (P3M-1) Sales (Unit) (P3M)  % vs. PY

Restricted Measure Restricted Measure Calculated Measure

Share (Unit) (P3M)

Calculated Measure

Share (Unit) (P3M-1)

Calculated Measure

Share (Unit) (P3M)  % vs. PY

Calculated Measure

Sales (Unit) (P1M)

Restricted Measure

904

PUBLIC

Formula/Properties
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Share (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Share (<Base Measure>) (<Time Period>)] ­ [Share (<Base Measure>) (<Time Period-1>)]
Current Month -11 ­ Current Month
Current Month -23 ­ Current Month-12
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Share (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Share (<Base Measure>) (<Time Period>)] - [Share (<Base Measure>) (<Time Period-1>)]
Current Month -2 ­ Current Month
Current Month -14 ­ Current Month-12
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Share (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Share (<Base Measure>) (<Time Period>)] - [Share (<Base Measure>) (<Time Period-1>)]
Current Month
Content Package User Guide Industries

Measure Name Sales (Unit) (P1M-1) Sales (Unit) (P1M)  % vs. PY

Type Restricted Measure Calculated Measure

Share (Unit) (P1M)

Calculated Measure

Share (Unit) (P1M-1)

Calculated Measure

Share (Unit) (P1M)  % vs. PY

Calculated Measure

Formula/Properties
Current Month-12
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
[Sales (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Sales (<Base Measure>) (<Time Period>)] ­ [Sales (<Base Measure>) (<Time Period-1>)]
- [Share (<Base Measure>) (<Time Pe riod>)  % vs. PY] = [Share (<Base Measure>) (<Time Period>)] - [Share (<Base Measure>) (<Time Period-1>)]

3.36.3.10 Market Share (SAP__TM_GEN_LB_MARKETSHARE)

Market Share (SAP__TM_GEN_LB_MARKETSHARE)

Connection

 Model Description: The model shows sales and units, the value of products, the classification, and the share of each product.
 Planning Enabled: No

DAQ Based on query /DDF/C01_GMRD_001

Account Dimension ID All measures from query /DDF/ C01_GMRD_001 Dimensions (DAQ) Name Harmonized Location ID

Description
Description Harmonized Location ID

Mapping/Formula
Mapping /DDF/LOCATION-/DDF/GLID - Key

<blank> needs renaming in download

Harmonized Location

Harmonized Location

/DDF/LOCATION-/DDF/GLID - Text

Harmonized Location

Category (Cons)

Category (Cons)

/DDF/GMPID-/DDF/PCAGM_TXT

Category (Cons)

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Market Share (SAP__TM_GEN_LB_MARKETSHARE)

Sub-Category (Cons)

Sub-Category (Cons)

Manufacturer (Cons)

Manufacturer (Cons)

Brand (Cons)

Brand (Cons)

Time

Time

Additional Notes about the model

Connection /DDF/GMPID-/DDF/PSCGM_TXT Sub-Category (Cons) /DDF/GMPID-/DDF/MANGM_TXT Manufacturer (Cons) /DDF/GMPID-/DDF/BRAGM_TXT Brand (Cons) /DDF/GTIMEREF-0CALMONTH Month (Split)

Download the query /DDF/C01_GMRD_001 with the Harmonized Location showing Key and Text. Have all Attributes/ Dimension in the rows and only the Key figures in the columns.
Typically, the Harmonized Location ID does have a blank header field, rename it to Harmonized Location ID. Key Figures names stay they are, make sure to show all of them in the download.

3.36.3.11 SAP Analytics Cloud Reporting (SAP__TM_GEN_LH_PNL_BUYDATE)

Model Name: SAP__TM_GEN_LH_PNL_BUYDATE
 Model Description: Trade Management: SAP Analytics Cloud Reporting Transpose Data
 Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0BP_GRP 0CRM_MKTELM 0CRM_PROD 0CRM_SALORG

Description
Description Time Dimension Account Marketing Element Product Sales Organization

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PRMO_TPM_SAC
Mapping/Formula
Mapping

906

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Content Package User Guide Industries

Model Name: SAP__TM_GEN_LH_PNL_BUYDATE

0DISTR_CHAN

Distribution Channel

0DIVISION

Division

/JBPB/PLAN

Plan ID

/JBPB/SCEN

Scenario ID

/JBPB/TUCUPRD

TU CU Product

/JBPB/VERSION

JBP Version

/JBPB/TUCU

Unit of Data

Version

Version or Source of Data

Additional Notes about the model

N/A

Connection

3.36.3.12 SAC Reporting (SAP__TM_GEN_LH_PNL_BUYDATE_SDM)

Model Name: SAP__TM_GEN_LH_PNL_BUYDATE_SDM
 Model Description: Trade Management: SAC Reporting Transpose Data  Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0BP_GRP 0CRM_MKTELM 0CRM_PROD 0CRM_SALORG 0DISTR_CHAN 0DIVISION /JBPB/PLAN /JBPB/SCEN

Description
Description Time Dimension Account Marketing Element Product Sales Organization Distribution Channel Division Plan ID Scenario ID

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PRMO_TPM_SAC_SDM
Mapping/Formula
Mapping

Content Package User Guide Industries

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907

Model Name: SAP__TM_GEN_LH_PNL_BUYDATE_SDM

/JBPB/TUCUPRD

TU CU Product

/JBPB/VERSION

JBP Version

/JBPB/TUCU

Unit of Data

Version

Version or Source of Data

Additional Notes about the model

N/A

Connection

3.36.3.13 SAP Analytics Cloud Planning Period (SAP__TM_GEN_LH_PNL_PLANDATE)

Model Name: SAP__TM_GEN_LH_PNL_PLANDATE
 Model Description: Trade Management: SAP Analytics Cloud Reporting Transpose Data
 Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0BP_GRP 0CRM_MKTELM 0CRM_PROD 0CRM_SALORG 0DISTR_CHAN 0DIVISION /JBPB/PLAN /JBPB/SCEN /JBPB/TUCUPRD /JBPB/VERSION /JBPB/TUCU Version

Description
Description Time Dimension Account Marketing Element Product Sales Organization Distribution Channel Division Plan ID Scenario ID TU CU Product JBP Version Unit of Data Version or Source of Data

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PTGT_SAC
Mapping/Formula
Mapping

908

PUBLIC

Content Package User Guide Industries

Model Name: SAP__TM_GEN_LH_PNL_PLANDATE Additional Notes about the model N/A

Connection

3.36.3.14 SAP Analytics Cloud Marketing Element Header (SAP__TM_GEN_LH_MKTELM_)

Model Name: SAP__TM_GEN_LH_PNL_PLANDATE
 Model Description: Trade Management: SAP Analytics Cloud Reporting Transpose Data
 Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0CRM_MKTELM Planning Date From Planning Date To Buying Date From Buying Date To Additional Notes about the model N/A

Description
Description Time Dimension Marketing Element Planning Date From Planning Date To Buying Date From Buying Date To

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PTGT_MKTELM
Mapping/Formula
Mapping

Content Package User Guide Industries

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909

3.36.3.15 SAC Marketing Element Header (SAP__TM_GEN_LH_MKTELM_SDM)

Model Name: SAP__TM_GEN_LH_MKTELM
 Model Description: Trade Management: SAC Reporting Transpose Data  Planning Enabled: No

Account Dimension ID P&L Dimensions Name Time 0CRM_MKTELM Planning Date From Planning Date To Buying Date From Buying Date To Additional Notes about the model N/A

Description
Description Time Dimension Marketing Element Planning Date From Planning Date To Buying Date From Buying Date To

Connection  Connection Types: Live Data Con
nection to SAP HANA or SAP HCP via Apache HTTP Server  Name of the HANA View: CV_PTGT_MKTELM_SDM
Mapping/Formula
Mapping

3.37 Utilities (UTL)
3.37.1 Architecture and Abstract
The Utilities Digital Boardroom content described in detail below provides information to the board of a fictional utility company named BestRun Utility. Here are a few of the BestRun Utility company statistics:  3 million customers. 2 divisions (Electricity & Gas). 3 regions (MI, OH & PA).  4.5 million contracts. Each customer gets one bill per quarter.  18 million bills issued every year. 350,000 bills issued every week. Average bill amount: $300.  Electricity: Generation, Purchase, Distribution, and Sale to 3 million customers.  Gas: Purchase, Storage, Transportation, Distribution, and Sale to 1.5 million customers. Seven perspectives are covered in the Utilities Digital Boardroom:  Financial Performance

910

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Content Package User Guide Industries

 Revenue Assurance  Customer Engagement  Renewable Energy  Customer Engagement  Renewable Energy  Capital and STO (Shutdown - Turnaround - Outage) Projects  Human Resources ( General & REcruitement)  Environment, Health & Safety (Incidents & Emissions)
Architecture

Content Package User Guide Industries

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911

3.37.2 Dashboard
The dashboard which canbe used to obtain the insights is: SAP_UTL_Dashboard

3.37.3 Stories

SAP Utilities: General - Overview (SAP__UTL_GEN_OVERVIEW) SAP Utilities: Finance (SAP__UTL_GEN_FINANCE) This is a copy of the story SAP__FI_GEN_FINANCE (SAP Finance: Financial Boardroom). SAP Utilities: Human Resources - General (SAP__UTL_HR_HR) This is a copy of the story SAP__HR_GEN_HR (SAP Human Resources: General). SAP Utilities: Human Resources - Recruitment (SAP__UTL_HR_RECRUITMENT) This is a copy of the story SAP__HR_GEN_RECRUITMENT (SAP Human Resources: Recruitment). SAP Utilities: Environment, Health & Safety - Incidents (SAP__UTL_EHS_HS_INCIDENTS) This is a copy of the story SAP__EHS_HS_INCIDENTS (SAP Environ. Health & Safety: Health & Safety Incidents). SAP Utilities: Environment, Health & Safety ­ Greenhouse Gas Emissions (SAP__UTL_EHS_EM_EMISSIONS) This is a copy of the story SAP__EHS_EM_EMISSIONS (SAP Environ. Health & Safety: Greenhouse Gas Emissions). SAP Utilities: Portfolio & Project Management - Analysis (SAP__UTL_PPM_PROJECTPORTFOLIO) This is a copy of the story SAP__PPM_PROJECTPORTFOLIO (SAP Portfolio & Project Management: Analysis). SAP Utilities: Revenue Assurance (SAP__UTL_RA_ANALYSIS)

Name: SAP__UTL_RA_ANALYSIS

Description: SAP Utilities: Revenue Assurance

Analyse the liquidity trend: Contract Accounts DSO & Overdue Items (from FI-CA). Billed/unbilled revenue (from IS-U Sales Statistics).

Page: Detail

Charts

Title

Models Used

DSO Trend

SAP__FI_CA_IM_DSOYR

Sub ledger Days Sales Outstanding by Year

DSO by Main Transaction

SAP__FI_CA_IM_DSOYRMT

Sub ledger Days Sales Outstanding by Main Transaction for Current year

Current Overdue Amounts

SAP__FI_CA_IM_OVERDUE

912

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Content Package User Guide Industries

Overdue amount by Time bucket (<1 day, 1 ­ 30 days, 31 ­ 60 days, 61 ­ 90 days, > 90 days) at Current date

Overdue Amount by Main Transaction

SAP__FI_CA_IM_OVERDUE

Total overdue amount by Main transaction at Current date

Clearing Analysis Last 12 Months

SAP__FI_CA_IM_CLEARING

Total clearing amount and Total number of cleared items by Clearing reason Last 12 months

Billed and Unbilled Revenue

SAP__UTL_GEN_IM_SALES

Billed and Unbilled Revenue by quarter across the last 2 years.

Top 100 Customers Overdue

SAP__FI_CA_IM_OVERDUEBP

Top 100 customers overdue amount by Division (Electricity or Gas) at Current date.

Page: Context

Charts Title

Models Used

Top 100 Customers Overdue

SAP__FI_CA_IM_OVERDUEBPGEO

Combination of Geomap and Grid visualizations allowing interactive analysis of Top 100 customers overdue by Geo loca tion.

SAP Utilities: Revenue Management - Renewable Energy (SAP__UTL_RM_RENEWABLE) SAP Utilities: Customer Engagement (SAP__UTL_CE_ANALYSIS)

Name: SAP__UTL_CE_ANALYSIS

Description: Sap Utilities: Customer Engagement

Analyse customer activities (from IS-U Partner Contacts) and sentiments (from SAP Marketing). Report on payment be haviour and dunning activities (from FI-CA).

Page: Detail

Charts

Title

Models Used

Social Media Posts Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMM

Number of positive, neutral and negative posts on social media by day over the last 7 days.

Social Media Posts Last 7 Days by Comm. Medium

SAP__CEC_MKT_SE_IM_SNTCOMM

Number of positive, neutral and negative posts on social media by communication medium over the last 7 days.

All Divisions

SAP_FI_CA_IM_DUNEVA

Number of dunning notices, Dunning balance (USD) and Average dunning success (%) for All divisions

Electricity Division

SAP_FI_CA_IM_DUNEVA

Number of dunning notices, Dunning balance (USD) and Average dunning success (%) for Electricity division

Gas Division

SAP_FI_CA_IM_DUNEVA

Number of dunning notices, Dunning balance (USD) and Average dunning success (%) for Gas division

Content Package User Guide Industries

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Name: SAP__UTL_CE_ANALYSIS

Dunning Activities Last 12 Months

SAP__FI_CA_IM_DUNACT

Dunning activities by dunning procedure and dunning level for the last 12 months.

Customer Contacts Last 12 Months

SAP__UTL_GEN_IM_STOCK

Number of customer contacts by contact class for the last 12 months.

Page: Context

Charts

Title

Models Used

Top 5 Interests with Pos. Sentiments Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMMINT

Top 5 items of interest with regards to number of positive posts over the last 7 days.

Top 5 Interests with Neg. Sentiments Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMMINT

Top 5 items of interest with regards to number of negative posts over the last 7 days.

# Posts for Top 5 Int. with Pos. Sent. Last 7 Days

SAP__CEC_MKT_SE_IM_SNTCOMMINT

# of positive, neutral & negative posts for each of the Top 5 items of interest with regards to # of pos. posts over the last 7 days.

# of Customer Complaints Last 2 Quarters

SAP__UTL_GEN_IM_STOCK

Number of customer contacts by complaint action and by month for the last 2 quarters.

Overdue Amount Last 2 Quarters

SAP__FI_CA_IM_OVERDUE

Overdue amount by overdue bucket over the last 2 quarters.

Dunning Balance Last 2 Quarters

SAP__FI_CA_IM_DUNACT

Dunning balance by dunning level over the last 2 quarters.

3.37.4 Models
3.37.4.1 CRM Contract/Product Age (SAP__UTL_CRM_IM_CTPDTAGE)

Model Name: SAP__UTL_CRM_IM_CTPDTAGE
 Model Description: SAP Utilities: CRM Contract/Product Age  Planning Enabled: No

Account* ID Number_of_contracts

Description Number of contracts

Connection  Connection Type: Import Data
Connection to an SAP BW System  Connection Query: Custom Query
0UCCRMCONTR_Q0001_Z01
Formula/Mapping 1ROWCOUNT

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Model Name: SAP__UTL_CRM_IM_CTPDTAGE

Dimensions

ID

Description

Time

Time

SAP_ALL_DIVISION

Division

SAP_ALL_PRODUCT

Product

Additional Notes about the model

Connection
Mapping 0CRM_BEGDAT 0DIVISION 0CRM_PROD

Content Package User Guide Industries

PUBLIC

915

Model Name: SAP__UTL_CRM_IM_CTPDTAGE

Connection

Connection Query: Custom Query 0UCCRMCONTR_Q0001_Z01 Start a new query creation with SAP BEx Query Designer. Select 0UCCRMCONTR as InfoProvider to build this new query against. Navigate to the Rows/Columns tab. Rows Drag/Drop dimensions [0DIVISION] Division, [0CRM_PROD] Product, [0PROD_ID] Product ID and [0CRM_BEGDATE] Start Date from InfoProvider [0UCCRMCONTR] Utility Contract (CRM) Columns - Drag/Drop key figure [1ROWCOUNT] Number of Records from InfoProvider [0UCCRMCONTR] Utility Contract (CRM).

916

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Model Name: SAP__UTL_CRM_IM_CTPDTAGE

Connection

Save the query as 0UCCRMCONTR_Q0001_Z01. The result is shown in the screenshot below.

Content Package User Guide Industries

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917

Model Name: SAP__UTL_CRM_IM_CTPDTAGE

Connection

Navigate to the Filter tab Characteristic Restrictions Drag/Drop dimension [0CRM_ENDDAT] End Date from InfoProvider [0UCCRMCONTR] Utility Contract (CRM) Set variable [OP_CSDAT] to only select products that are still valid within the contracts. The result is shown in the screen shot below.

918

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Model Name: SAP__UTL_CRM_IM_CTPDTAGE

Connection

Content Package User Guide Industries

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919

Model Name: SAP__UTL_CRM_IM_CTPDTAGE - Save the query Connection Variables: Key Date of the Query (Manual Entry, Single Value, and Required) (0P_CSDAT) for example 20.10.2017.

Connection

 Note
* Private dimension and, other dimensions are public.

3.37.4.2 CRM Contract/Product Allocation (SAP__UTL_CRM_IM_CTPDTALLOC)

Model Name: SAP__UTL_CRM_IM_CTPDTALLOC
 Model Description: SAP Utilities: CRM Contract/Product Allocation  Planning Enabled: No

Account* ID Number_of_contracts Dimensions ID Time* SAP_ALL_DIVISION SAP_ALL_PRODUCT Additional Notes about the model

Description Number of contracts
Description Time Division Product

Connection  Connection type: Import Data Con
nection to an SAP BW System  Connection Query: Custom Query
0UCCRMCONTR_Q0001_Z02
Formula/Mapping 1ROWCOUNT
Mapping Calendar Year 0DIVISION 0CRM_PROD

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Model Name: SAP__UTL_CRM_IM_CTPDTALLOC
Open 0UCCRMCONTR_Q0001_Z01 with SAP BEx Query Designer Save it as 0UCCRMCONTR_Q0001_Z02 Navigate to the Filter tab Characteristic Restriction Remove the restriction on CRM_ENDDAT Navigate to the Rows/Columns tab Rows Remove [OCRM_BEGDAT] Start Date Columns Create a new structure and name it Calendar Year Within this structure, create a selection 2014

Connection

Content Package User Guide Industries

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921

Model Name: SAP__UTL_CRM_IM_CTPDTALLOC Define selection 2014 as displayed in the screenshot below.

Connection

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Model Name: SAP__UTL_CRM_IM_CTPDTALLOC

Connection

Define selections 2015, 2016, and 2017 by replacing 2014 by 2015, 2016, and 2017 respectively.

Content Package User Guide Industries

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923

Model Name: SAP__UTL_CRM_IM_CTPDTALLOC The result is displayed in the screenshot below.

Connection

924

PUBLIC

Content Package User Guide Industries

Model Name: SAP__UTL_CRM_IM_CTPDTALLOC Save the query.
 Note
* Private dimension and other dimensions are public.

Connection

3.37.4.3 Sales Statistics (SAP__UTL_GEN_IM_SALES)

Model Name: SAP__UTL_GEN_IM_SALES
 Model Description: SAP Utilities: Sales Statistics  Planning Enabled: No

Account* ID Variable_Amount Number_of_Billing_Docs Quantity Renewable_Revenue_Amount

Description Variable Amount Number of Billing Docs Quantity Renewable Revenue Amount

Billed_Revenue

Billed Revenue

Unbilled_Revenue

Unbilled Revenue

Renewable_Revenue_Ratio

Renewable Revenue Ratio

Dimensions

ID

Description

Time*

Time

SAP_ALL_COMPANYCODE

Company Code

SAP_ALL_DIVISION

Division

SAP_ALL_BUSINESSAREA

Business Area

SAP_UTL_GEN_BILLINGCLASS

Billing Class

SAP_UTL_GEN_SIMULATIONPERIODID Simulation Period ID

Connection
 Connection Type: Import Data Connection to an SAP BW System
 Connection Query: Custom Query V_UCSA01_Q0001_Z01
Formula/Mapping 0VAR_VR 0UCBILLING 0UCQUANT RESTRICT([Variable_Amount], [d/ SAP_UTL_GEN_RATECATEGORY]='UT GREEN') RESTRICT([Variable_Amount], [d/ SAP_UTL_GEN_SIMULATIONPERIO DID]='#') RESTRICT([Variable_Amount], [d/ SAP_UTL_GEN_SIMULATIONPERIO DID]='S17') [Renewable_Revenue_Amount]/[Varia ble_Amount]
Mapping 0CALMONTH 0COMP_CODE 0DIVISION 0BUS_AREA 0UCBILL_CLA 0UC_SIM_ID

Content Package User Guide Industries

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Model Name: SAP__UTL_GEN_IM_SALES

SAP_UTL_GEN_RATECATEGORY

Rate Category

SAP_ALL_CUSTOMERCOUNTRY

Customer Country

SAP_ALL_CUSTOMERREGION

Customer Region

Additional Notes about the model

Connection 0UCRATE_CAT 0COUNTRY 0REGION

926

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Content Package User Guide Industries

Model Name: SAP__UTL_GEN_IM_SALES

Connection

Connection Query: Custom Query V_UCSA01_Q0001_Z01 Open /IMO/V_UCSA01_Q0001 with BEx Query Designer Save it as V_UCSA01_Q0001_Z01 Navigate to the Rows/Columns tab Columns Drag/Drop [0UCQUANT] Quantity from InfoProvider /IMO/V_UCSA01 into the Columns area.

Content Package User Guide Industries

PUBLIC

927

Model Name: SAP__UTL_GEN_IM_SALES The result is displayed in the screenshot below.

Connection

928

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Content Package User Guide Industries

Model Name: SAP__UTL_GEN_IM_SALES Save the query. Connection Variables: Company Code (Manual Entry to set Company Code) (0CMPCODE) for example U100 Calendar Year (Manual Entry to set a range for Calendar Year) (0I_CALYE) for example 2014 - 2017 Simulation ID (Manual Entry to set Simulation ID value) (0P_SIMD1) for example S17
 Note
* Private dimension and other dimensions are public.

Connection

3.37.4.4 Sales Statistics w/ Geo Data (SAP__UTL_GEN_IM_SALESGEO)

Model Name: SAP__UTL_GEN_IM_SALESGEO
 Model Description: SAP Utilities: Sales Statistics w/ Geo Data  Planning Enabled: No

Account* ID Variable_Amount Number_of_Billing_Docs Quantity Renewable_Revenue_Amount
Billed_Revenue
Unbilled_Revenue

Description Variable Amount Number of Billing Docs Quantity Renewable Revenue Amount
Billed Revenue
Unbilled Revenue

Connection
 Connection type: Import Data Con nection to an SAP BW System
 Connection Query: Custom Query V_UCSA01_Q0001_Z01
Formula/Mapping 0VAR_VR 0UCBILLING 0UCQUANT RESTRICT([Variable_Amount], [d/ SAP_UTL_GEN_RATECATEGORY]='UT GREEN' ) RESTRICT([Variable_Amount], [d/ SAP_UTL_GEN_SIMULATIONPERIO DID]='#' ) RESTRICT([Variable_Amount], [d/ SAP_UTL_GEN_SIMULATIONPERIO DID]='S17')

Content Package User Guide Industries

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929

Model Name: SAP__UTL_GEN_IM_SALESGEO

Renewable_Revenue_Ratio

Renewable Revenue Ratio

Dimensions

ID

Description

Time*

Time

SAP_ALL_COMPANYCODE

Company Code

SAP_ALL_DIVISION

Division

SAP_ALL_BUSINESSAREA

Business Area

SAP_UTL_GEN_BILLINGCLASS

Billing Class

SAP_UTL_GEN_SIMULATIONPERIODID Simulation Period ID

SAP_UTL_GEN_RATECATEGORY

Rate Category

SAP_ALL_CUSTOMERCOUNTRY

Customer Country

CustomerRegionGeo

Customer Region

Additional Notes about the model

Connection [Renewable_Revenue_Amount]/[Varia ble_Amount]
Mapping 0CALMONTH 0COMP_CODE 0DIVISION 0BUS_AREA 0UCBILL_CLA 0UC_SIM_ID 0UCRATE_CAT 0COUNTRY 0REGION

The model SAP__UTL_GEN_IM_SALESGEO is delivered as an example with geocoded data pertinent to the delivered sam ple data set. You need to manually create your own SAP__UTL_GEN_IM_SALESGEO model, as a derivative of model SAP__UTL_GEN_IM_SALES, by injecting your own geocoding information.
You can refer to the detailed documentation on how to create model SAP__FI_CA_OVERDUEBPGEO as a derivative of model SAP__FI_CA_OVERDUEBP for instructions.
Connection Variables:
 Company Code (Manual Entry to set Company Code) (0CMPCODE): for example U100  Calendar Year (Manual Entry to set a range for Calendar Year) (0I_CALYE): for example 2014 - 2017  Simulation ID (Manual Entry to set Simulation ID value) (0P_SIMD1): for example S17

 Note
* Private dimension and other dimensions are public.

3.37.4.5 Stock Statistics (SAP__UTL_GEN_IM_STOCK)

Model Name: SAP__UTL_GEN_IM_STOCK  Model Description: SAP Utilities: Stock Statistics  Planning Enabled: No
Account*

Connection
 Connection Type: Import Data Connection to an SAP BW System
 Connection Query: Custom Query 0UCSS_C09_Q0002_Z01

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Content Package User Guide Industries

Model Name: SAP__UTL_GEN_IM_STOCK

ID

Description

Change_in_Stock

Change in Stock

Dimensions

ID

Description

Time*

Time

SAP_ALL_COMPANYCODE

Company Code

SAP_ALL_DIVISION

Division

SAP_UTL_GEN_CONTACTCLASS

Contact Class

SAP_UTL_GEN_CONTACTACTION

Contact Action

SAP_UTL_GEN_CONTACTTYPE

Contact Type

SAP_UTL_GEN_CONTACTPRIORITY Contact Priority

SAP_UTL_GEN_CONTACTORIGIN

Contact Origin

Additional Notes about the model

Connection Formula/Mapping 0UCCOUNTDIF
Mapping 0CALMONTH 0COMP_CODE 0DIVISION 0UCCONT_CL 0UCCONT_ACT 0UCCONT_TY 0UCCT_PRIOR 0UCCONT_SRC

Content Package User Guide Industries

PUBLIC

931

Model Name: SAP__UTL_GEN_IM_STOCK

Connection

Connection Query: Custom Query 0UCSS_C09_Q0002_Z01 Open 0UCSS_C09_Q0002 with BEx Query Designer Save it as 0UCSS_C09_Q0002_Z01 Navigate to Rows/Columns Free Characteristics Drag/Drop [0COMPCODE] Company Code and [0DIVISION] Division in the Free Characteristics Area.

932

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Content Package User Guide Industries

Model Name: SAP__UTL_GEN_IM_STOCK The result is displayed in the screenshot below.

Connection

Save the query. Connection Variables: Calendar Year/Month (Manual Entry to set date range for analysis.) (0I_CMNTH)
Content Package User Guide Industries

PUBLIC

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Model Name: SAP__UTL_GEN_IM_STOCK for example 01.2014 ­ 12.2017.
 Note
*Private dimension and other dimensions are public

Connection

934

PUBLIC

Content Package User Guide Industries

Important Disclaimers and Legal Information
Hyperlinks
Some links are classified by an icon and/or a mouseover text. These links provide additional information. About the icons:
 Links with the icon : You are entering a Web site that is not hosted by SAP. By using such links, you agree (unless expressly stated otherwise in your agreements with SAP) to this:  The content of the linked-to site is not SAP documentation. You may not infer any product claims against SAP based on this information.  SAP does not agree or disagree with the content on the linked-to site, nor does SAP warrant the availability and correctness. SAP shall not be liable for any damages caused by the use of such content unless damages have been caused by SAP's gross negligence or willful misconduct.
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Some videos may point to third-party video hosting platforms. SAP cannot guarantee the future availability of videos stored on these platforms. Furthermore, any advertisements or other content hosted on these platforms (for example, suggested videos or by navigating to other videos hosted on the same site), are not within the control or responsibility of SAP.
Beta and Other Experimental Features
Experimental features are not part of the officially delivered scope that SAP guarantees for future releases. This means that experimental features may be changed by SAP at any time for any reason without notice. Experimental features are not for productive use. You may not demonstrate, test, examine, evaluate or otherwise use the experimental features in a live operating environment or with data that has not been sufficiently backed up. The purpose of experimental features is to get feedback early on, allowing customers and partners to influence the future product accordingly. By providing your feedback (e.g. in the SAP Community), you accept that intellectual property rights of the contributions or derivative works shall remain the exclusive property of SAP.
Example Code
Any software coding and/or code snippets are examples. They are not for productive use. The example code is only intended to better explain and visualize the syntax and phrasing rules. SAP does not warrant the correctness and completeness of the example code. SAP shall not be liable for errors or damages caused by the use of example code unless damages have been caused by SAP's gross negligence or willful misconduct.
Bias-Free Language
SAP supports a culture of diversity and inclusion. Whenever possible, we use unbiased language in our documentation to refer to people of all cultures, ethnicities, genders, and abilities.

Content Package User Guide Important Disclaimers and Legal Information

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