Meet your BI needs with SAP S/4HANA embedded analytics! Explore the system architecture and data model and learn how to perform analytics on live transactional data. Business user? Walk step-by-step through SAP Smart Business KPIs, dashboards, and multidimensional reporting. Analytics specialist? Master the virtual data model and report creation. Jack of all trades? Create CDS views, apply custom fields and logic, and learn to integrate SAP S/4HANA with SAP Analytics Cloud. This is your complete guide to SAP S/4HANA embedded analytics!

Highlights include:
1) Architecture
2) Virtual data model (VDM)
3) CDS views
4) SAP Fiori apps
5) SAP Smart Business
6) Key performance indicators (KPIs)
7) Dashboards
8) Reporting
9) Data warehousing
10) SAP Analytics Cloud
11) Machine learning

Integrate with other SAP tools for data warehousing, business intelligence, and machine learning

Autorentext
Anirban Kundu is a program director for SAP S/4HANA embedded analytics enablement at SAP. He has more than 17 years of experience across multiple roles including product management, corporate strategy, and consulting. Currently he is on a special assignment as a solution architect for operational analytics at Nestle. He has conducted more than 30 workshops about SAP S/4HANA embedded analytics for customers and partners across the US, EMEA and APJ. He has been a passionate advocate of enterprise analytics and has more than 14 years of experience building analytical application across range of technology and application areas.Previously, he worked as the global analytics lead for the SCM, PLM and manufacturing analytics and was instrumental in key product launches enhancing the SAP Analytics portfolio. He managed a consulting practice within the manufacturing driving strategy, growth and P&L for strategic insights. He received his MBA from IIM Bangalore and his B.Tech. in chemical engineering from IIT Bombay. He has also completed an immersion program at KAIST Business School, Seoul, South Korea.

Inhalt
... Preface ... 13

... Target Audience ... 13

... Book Structure ... 14

... Acknowledgments ... 14

Part I ... Getting Started ... 17

1 ... The Intelligent Enterprise ... 19

1.1 ... Digital Transformation ... 19

1.2 ... SAP S/4HANA: The Intelligent ERP System ... 23

1.3 ... SAP S/4HANA Business Requirements ... 30

1.4 ... Summary ... 34

2 ... Analytics in the Digital Economy ... 35

2.1 ... Embedded Analytics versus Standalone Analytics ... 35

2.2 ... Combining Transactions and Analytics ... 39

2.3 ... Summary ... 44

3 ... Architecture ... 45

3.1 ... Architecture Overview ... 45

3.2 ... Virtual Data Models in Core Data Services ... 60

3.3 ... Authorization and Security ... 81

3.4 ... SAP Fiori Programming Model: Access and Visualization ... 88

3.5 ... Summary ... 95

Part II ... Analytics by User Type ... 97

4 ... Analytics for the Business User ... 99

4.1 ... Operational Insight-to-Action Using the Analytical List Page ... 99

4.2 ... KPI Reporting and Analysis Using SAP Smart Business KPIs ... 109

4.3 ... Multidimensional Reporting ... 123

4.4 ... SAP Fiori Overview Pages ... 135

4.5 ... Embedded SAP Analytics Cloud Stories ... 143

4.6 ... Additional Functions ... 155

4.7 ... Summary ... 165

5 ... Predefined Analytics Content ... 167

5.1 ... Content Delivered with SAP S/4HANA ... 167

5.2 ... Analytics Content and SAP Best Practices ... 174

5.3 ... Line-of-Business-Specific SAP Best Practices ... 181

5.4 ... Business Content for SAP Analytics Cloud, Embedded Edition ... 191

5.5 ... Integration SAP Best Practices ... 202

5.6 ... Summary ... 209

6 ... Analytics for the Analytics Specialist ... 211

6.1 ... The Analytics Specialist Role ... 211

6.2 ... Browsing the Virtual Data Model ... 217

6.3 ... Creating and Publishing Data Sources and Queries ... 226

6.4 ... Manage KPIs and Reports ... 248

6.5 ... Maintaining Reports ... 269

6.6 ... Maintaining SAP Analytics Cloud, Embedded Edition Stories ... 285

6.7 ... Defining Date Functions ... 296

6.8 ... Creating SAP Fiori Launchpad Tiles for SAP Analytics Cloud Stories ... 304

6.9 ... Summary ... 306

7 ... Analytics for the IT Expert ... 309

7.1 ... The IT Expert Role ... 309

7.2 ... Creating and Consuming CDS Views ... 311

7.3 ... Summary ... 325

8 ... Additional Extensibility Options ... 327

8.1 ... Custom Business Objects ... 327

8.2 ... Custom Fields and Logic ... 335

8.3 ... Summary ... 343

Part III ... Additional SAP Analytics Tools ... 345

9 ... Data Warehousing ... 347

9.1 ... Do You Need Additional Data Warehouses? ... 348

9.2 ... Data Management for SAP S/4HANA ... 351

9.3 ... SAP BW/4HANA ... 354

9.4 ... SAP HANA for SQL Data Warehousing ... 366

9.5 ... SAP Data Warehouse Cloud ... 369

9.6 ... Big Data Warehousing ... 371

9.7 ... Summary ... 373

10 ... Business Intelligence ... 375

10.1 ... Should You Use Additional Business Intelligence Solutions? ... 375

10.2 ... SAP Analytics Suite ... 376

10.3 ... SAP Analytics Cloud ... 384

10.4 ... Summary ... 390

11 ... Predictive Analytics and Machine Learning ... 393

11.1 ... Overview ... 393

11.2 ... Approaches to Machine Learning ... 395

11.3 ... Solution Architecture ... 407

11.4 ... Intelligent Enterprise Example ... 411

11.5 ... Summary ... 414

A ... Future Outlook ... 415

A.1 ... SAP Analytics Cloud Integration into SAP S/4HANA ... 415

A.2 ... Data Integration of SAP S/4HANA Cloud Data ... 416

A.3 ... Cross-Product Analytics ... 417

A.4 ... UX Improvements and Adoption of SAP Fiori Innovations ... 418

B ... The Authors ... 421

... Contributor ... 423

... Index ... 425