SAP S/4HANA Embedded Analytics

Name: SAP S/4HANA Embedded Analytics | The Comprehensive Guide
Brand: SAP PRESS
Price: 79.95 EUR
Availability: OutOfStock

The Comprehensive Guide

Jürgen Butsmann Thomas Fleckenstein Anirban Kundu(Author)

SAP PRESS

1st Edition

Published on 27. November 2018

Book

Hardback

430 pages

978-1-4932-1733-5 (ISBN)

€79.95incl. 7% vat

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Author

Jürgen Butsmann

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.

Thomas Fleckenstein

Thomas Fleckenstein is chief product owner of SAP S/4HANA analytics. He has shaped and evangelized the concept of "embedded analytics" in SAP cloud solutions such as SAP Business ByDesign and SAP S/4HANA Cloud. This concept is regarded as one of the major differentiators of SAP's offering compared to other cloud solutions. His team is developing the Smart Business KPI and reports feature in SAP S/4HANA, which is also available in other products such as the SAP Business Suite on SAP HANA and the SAP Cloud Platform. Thomas holds a diploma in business and administration from the University of Mannheim, Germany. He joined SAP in 1999 as a developer for analytics business content for the SAP Business Warehouse. In 2004, he became product manager for analytics in SAP Business ByDesign. As of 2011, he works in the SAP Business Suite, and since 2014 for SAP S/4HANA. Thomas is frequently presenting topics around analytics at SAP TechEd in the US and Europe.

Anirban Kundu

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.

Content

... Preface ... 13

... Target Audience ... 13

... Book Structure ... 14

... Acknowledgments ... 14

PART I ... Getting Started ... 17

1 ... SAP's Digital Business Framework ... 19

1.1 ... Digital Transformation ... 19

1.2 ... SAP S/4HANA: The Digital Core ... 24

1.3 ... SAP S/4HANA Business Requirements ... 32

1.4 ... Summary ... 36

2 ... Analytics in the Digital Economy ... 37

2.1 ... Embedded Analytics versus Standalone Analytics ... 37

2.2 ... Combining Transactions and Analytics ... 41

2.3 ... Summary ... 47

3 ... Architecture ... 49

3.1 ... Architecture Overview ... 49

3.2 ... Virtual Data Models in Core Data Services ... 66

3.3 ... Authorization and Security ... 82

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

3.5 ... Summary ... 96

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 ... 110

4.3 ... Multidimensional Reporting ... 123

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

4.5 ... Analysis Path Framework ... 144

4.6 ... Additional Functions ... 159

4.7 ... Summary ... 170

5 ... Predefined Analytics Content ... 173

5.1 ... Content Delivered with SAP S/4HANA ... 174

5.2 ... Analytics Content and SAP Best Practices ... 180

5.3 ... Line-of-Business-Specific Best Practices ... 189

5.4 ... Integration Best Practices ... 200

5.5 ... Summary ... 207

6 ... Analytics for the Analytics Specialist ... 209

6.1 ... The Analytics Specialist Role ... 209

6.2 ... Browsing the Virtual Data Model ... 216

6.3 ... Creating and Publishing Data Sources and Queries ... 225

6.4 ... Maintaining SAP Smart Business KPIs ... 246

6.5 ... Maintaining Reports ... 273

6.6 ... Analysis Path Framework ... 280

6.7 ... Defining Date Functions ... 292

6.8 ... Creating SAP Fiori Launchpad Tiles for SAP Analytics Cloud Stories ... 299

6.9 ... Summary ... 302

7 ... Analytics for the IT Expert ... 303

7.1 ... The IT Expert Role ... 304

7.2 ... Creating and Consuming CDS Views ... 305

7.3 ... Summary ... 321

8 ... Additional Extensibility Options ... 323

8.1 ... Custom Business Objects ... 323

8.2 ... Custom Fields and Logic ... 331

8.3 ... Summary ... 340

PART III ... Additional SAP Analytics Tools ... 341

9 ... Data Warehousing ... 343

9.1 ... Do You Need Additional Data Warehouses? ... 344

9.2 ... Data Management for SAP S/4HANA ... 347

9.3 ... SAP SQL Data Warehousing with SAP HANA 2.0 ... 364

9.4 ... Big Data Warehousing ... 367

9.5 ... Summary ... 369

10 ... Business Intelligence ... 371

10.1 ... Should You Use Additional Business Intelligence Solutions? ... 371

10.2 ... SAP Analytics Suite ... 372

10.3 ... SAP Analytics Cloud ... 381

10.4 ... Summary ... 389

11 ... Predictive Analytics and Machine Learning ... 391

11.1 ... Process Overview ... 392

11.2 ... Machine Learning Solution Architecture ... 396

11.3 ... Machine Learning Use Cases for SAP S/4HANA ... 397

11.4 ... SAP S/4HANA Embedded Machine Learning ... 400

11.5 ... Summary ... 413

... Appendices ... 415

A ... Future Outlook ... 415

B ... The Authors ... 421

... Index ... 423

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