SAP S/4HANA Embedded Analytics
The Comprehensive Guide
(Sprache: Englisch)
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...
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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!
Highlights include:
Architecture
Virtual data model (VDM)
SAP Fiori apps
SAP Smart Business
Key performance indicators (KPIs)
Operational reporting
CDS views
Customization
Data warehousing
Integration
Inhaltsverzeichnis zu „SAP S/4HANA Embedded Analytics “
... 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
... mehr
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
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
... weniger
Autoren-Porträt von Jürgen Butsmann, Thomas Fleckenstein, Anirban Kundu
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.
Bibliographische Angaben
- Autoren: Jürgen Butsmann , Thomas Fleckenstein , Anirban Kundu
- 2018, 430 Seiten, Maße: 18,7 x 23,7 cm, Gebunden, Englisch
- Verlag: SAP Press
- ISBN-10: 149321733X
- ISBN-13: 9781493217335
Sprache:
Englisch
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