โ Scribed by Butsmann, Jurgen;Fleckenstein, Thomas(Contributor);Kundu, Anirban(Contributor)
No coin nor oath required. For personal study only.
"See how SAP S/4HANA will change your BI processes! Explore the embedded analytics architecture and data model to learn how to perform analytics on live transactional data. Business user? Walk step-by-step through SAP Smart Business KPIs and multidimensional reporting. Analytics specialist? Master the virtual data model and creating KPIs. Jack of all trades? Create CDS views, apply custom fields and logic, or see what's coming up with machine learning. This is your complete guide to SAP S/4HANA embedded analytics!"--
Contents......Page 7
Target Audience......Page 13
Acknowledgments......Page 14
PART I: Getting Started......Page 17
1.1.1 The Digital Transformation Imperative......Page 19
1.1.2 What Does Digitalization Mean for Your Company?......Page 21
1.1.3 SAPโs Role in Your Digital Transformation......Page 23
1.2.1 Business Needs for a Digital Core......Page 24
1.2.2 The Evolution of ERP......Page 25
1.2.3 Technologies......Page 27
1.2.4 Key Principles......Page 28
1.3 SAP S/4HANA Business Requirements......Page 32
1.3.1 ERP in the Cloud (Software as a Service)......Page 33
1.3.3 Integrating the Digital Core......Page 35
1.4 Summary......Page 36
2.1 Embedded Analytics versus Standalone Analytics......Page 37
2.2 Combining Transactions and Analytics......Page 41
2.2.1 On a Single Platform......Page 42
2.2.2 Within the Business Process......Page 43
2.2.3 Within a Single User Interface......Page 45
2.3 Summary......Page 47
3.1 Architecture Overview......Page 49
3.1.1 Stack Overview: Journey of Data from Tables to Tiles......Page 51
3.1.2 Building Blocks......Page 55
3.2.1 Core Data Services......Page 66
3.2.2 Virtual Data Models......Page 77
3.3.1 Authorizations......Page 82
3.3.2 Roles in Frontend Server......Page 85
3.4 SAP Fiori Programming Model: Access and Visualization......Page 88
3.4.1 Service Enablement......Page 90
3.4.2 Data Access Protocol......Page 91
3.4.3 SAP Fiori Catalog and Navigation Targets......Page 94
3.5 Summary......Page 96
PART II: Analytics by User Type......Page 97
4.1 Operational Insight-to-Action Using the Analytical List Page......Page 99
4.1.1 Typical Usage......Page 100
4.1.2 Features and Personalization Options......Page 103
4.2 KPI Reporting and Analysis Using SAP Smart Business KPIs......Page 110
4.2.1 Typical Usage......Page 111
4.2.2 Features and Personalization Options......Page 114
4.3.1 Typical Usage......Page 123
4.3.2 Features and Personalization Options......Page 125
4.4.1 Typical Usage......Page 135
4.4.2 Features and Personalization Options......Page 138
4.5.1 Typical Usage......Page 144
4.5.2 Features and Personalization Options......Page 147
4.6.1 Query Browser......Page 159
4.6.2 App Catalog......Page 161
4.6.3 App Search......Page 164
4.6.4 Notification Area......Page 166
4.6.5 User Assistance......Page 168
4.7 Summary......Page 170
5 Predefined Analytics Content......Page 173
5.1 Content Delivered with SAP S/4HANA......Page 174
5.2 Analytics Content and SAP Best Practices......Page 180
5.3.1 Procurement Analytics Content......Page 189
5.3.2 Financial Planning and Analysis Content......Page 192
5.3.3 Manufacturing Analytics Content......Page 196
5.4.1 SAP BW Integration......Page 200
5.4.2 SAP BusinessObjects BI Platform Integration......Page 205
5.4.3 SAP Cloud Platform Integration......Page 206
5.5 Summary......Page 207
6.1 The Analytics Specialist Role......Page 209
6.1.1 Process Overview......Page 210
6.1.2 Technical Details and Process Mapping......Page 213
6.2 Browsing the Virtual Data Model......Page 216
6.2.1 Overview......Page 217
6.2.2 Features and Options......Page 219
6.3 Creating and Publishing Data Sources and Queries......Page 225
6.3.1 Custom CDS Views......Page 226
6.3.2 Custom Analytical Queries......Page 233
6.4.1 Process Overview......Page 246
6.4.2 Creating a KPI......Page 248
6.4.3 Creating an Evaluation......Page 252
6.4.4 Creating an SAP Fiori Launchpad Tile and DrillDown......Page 257
6.4.5 Configure Drilldown Application......Page 260
6.4.6 Deploy KPI Tile......Page 266
6.4.7 KPI Workspace......Page 269
6.5 Maintaining Reports......Page 273
6.5.1 Typical Usage and Examples......Page 274
6.5.2 Customization Options......Page 275
6.6 Analysis Path Framework......Page 280
6.6.1 Process Overview......Page 281
6.6.2 Modeling APF Configurations......Page 283
6.7.1 Defining Date Functions......Page 292
6.7.2 Using Date Functions in the KPI Configuration......Page 297
6.8 Creating SAP Fiori Launchpad Tiles for SAP Analytics Cloud Stories......Page 299
6.9 Summary......Page 302
7 Analytics for the IT Expert......Page 303
7.1 The IT Expert Role......Page 304
7.2.1 Exploring CDS Views......Page 305
7.2.2 Consuming CDS Views with the Analytical Engine......Page 315
7.2.3 Consuming CDS Views with OData Services......Page 318
7.3 Summary......Page 321
8.1 Custom Business Objects......Page 323
8.2 Custom Fields and Logic......Page 331
8.3 Summary......Page 340
PART III: Additional SAP Analytics Tools......Page 341
9 Data Warehousing......Page 343
9.1 Do You Need Additional Data Warehouses?......Page 344
9.2.1 Overview......Page 347
9.2.2 SAP BW/4HANA......Page 350
9.3 SAP SQL Data Warehousing with SAP HANA 2.0......Page 364
9.4 Big Data Warehousing......Page 367
9.4.2 SAP Data Hub......Page 368
9.5 Summary......Page 369
10.1 Should You Use Additional Business Intelligence Solutions?......Page 371
10.2 SAP Analytics Suite......Page 372
10.2.1 Portfolio Structure......Page 373
10.2.2 Platform and Architecture......Page 375
10.2.3 SAP Lumira......Page 376
10.2.4 SAP BusinessObjects Web Intelligence......Page 378
10.2.5 SAP Analysis for Microsoft Office......Page 379
10.2.6 Integration......Page 380
10.3 SAP Analytics Cloud......Page 381
10.3.1 Self-Service Business Intelligence......Page 382
10.3.2 Hichert Standards Support......Page 383
10.3.4 Integration......Page 384
10.3.5 Planning......Page 387
10.4 Summary......Page 389
11 Predictive Analytics and Machine Learning......Page 391
11.1 Process Overview......Page 392
11.2 Machine Learning Solution Architecture......Page 396
11.3.1 SAP Cash Application......Page 397
11.3.2 Quantity Contract Consumption App......Page 398
11.3.3 Project Cost Forecasting App......Page 399
11.4 SAP S/4HANA Embedded Machine Learning......Page 400
11.4.1 SAP Predictive Analytics Integrator......Page 401
11.4.2 Using Embedded Machine Learning Applications......Page 404
11.4.3 Creating a Predictive App with SAP Analytics Cloud and SAP S/4HANA Cloud......Page 407
11.5 Summary......Page 413
A.1 New Environment for the Analytics Specialist......Page 415
A.2 Data Extraction from SAP S/4HANA Cloud to SAP BW/4HANA......Page 416
A.3 Additional Predictive Models Use Cases......Page 417
A.5 Cross-Solution Analytics......Page 418
B The Authors......Page 421
Index......Page 423
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