Jürgen Butsmann is part of the Global Business Development team for SAP S/4HANA, and is responsible for the Go-To-Market (GTM) of SAP S/4HANA in the EMEA region(s). He ensures that this new innovation is picked up by all markets units of SAP EMEA and acts as a solution evangelist with customers and partners.

In conjunction with the development organization he works on the future strategy and roadmap of SAP S/4HANA. This includes the positioning and messaging of the solution. In particular, Jürgen heads the GTM of the analytics solutions inside SAP S/4HANA (SAP S/4HANA embedded analytics) and positioning with related solutions (e.g. SAP Analytics suite and enterprise data warehousing, incl. SAP HANA and SAP BW/4HANA).
Jürgen joined SAP back in 1997 as consultant for SAP EC EIS, SAP Business Warehouse, SAP SEM, and SAP EPM. Jürgen built up business development for enterprise performance management for planning in EMEA and globally until 2007. In 2012 he took over solution ownership of SAP HANA Live and the SAP Smart Business cockpit as part of solution management of the SAP Business Suite powered by SAP HANA. He joined the business development team for SAP S/4HANA in 2016. He is based out of SAP Headquarters in Walldorf, Germany.

Jürgen studied industrial engineering and management (Wirtschaftsingenieurwesen) at the University of Karlsruhe (TH) and has a Diplom Wirtschaftsingenieur.

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

... 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