SAP S/4HANA Embedded Analytics: The Comprehensive Guide
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Beschreibung
... 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
... 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
Eigenschaften
Breite: | 186 |
Gewicht: | 934 g |
Höhe: | 233 |
Länge: | 31 |
Seiten: | 430 |
Sprachen: | Englisch |
Autor: | Anirban Kundu, Jürgen Butsmann, Thomas Fleckenstein |
Veröffentlichung: | 2018-11-14 |
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