Buch, Englisch, 421 Seiten, Format (B × H): 257 mm x 181 mm, Gewicht: 890 g
Reihe: SAP Press Englisch
Buch, Englisch, 421 Seiten, Format (B × H): 257 mm x 181 mm, Gewicht: 890 g
Reihe: SAP Press Englisch
ISBN: 978-1-4932-2465-4
Verlag: Rheinwerk Verlag GmbH
Discover the next generation of BI with this guide to SAP Analytics Cloud! Get your data into the system and see which data models to use in which situations. Next, learn about stories—how to create visualizations for them, publish them, and enhance them. With expanded information on the analytics designer, analytics catalog, and planning models, this fully updated edition is your one-stop shop for all your SAP Analytics Clouds needs!
Highlights include:
1) Data modeling
2) Stories
3) Visualizations
4) Dashboards
5) Financial planning
6) Analytics designer
7) Analytics catalog
8) SAP Digital Boardroom
9) SAP Analytics Hub
10) Data integration
11) Administration
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
. Preface. 13
. Objective of This Book. 13
. Target Audience. 14
. Structure of This Book. 14
. Additional Resources. 15
. Acknowledgments. 16
1. Introduction. 17
1.1. What Is Analytics?. 17
1.2. SAP’s Data and Analytics Strategy. 19
1.3. Overview of SAP Analytics Cloud. 23
1.4. Architecture. 45
1.5. Standalone and Embedded Versions of SAP Analytics Cloud. 46
1.6. Summary. 48
2. Data Integration. 49
2.1. Data Sources Supported by SAP Analytics Cloud. 49
2.2. Connection Types. 61
2.3. Integration Scenarios for Live Connections. 70
2.4. Integration Scenarios for Import Connections. 79
2.5. Summary. 83
3. Navigation and Administration. 85
3.1. Navigating the Home Screen and Main Menu. 85
3.2. First Steps for Administrators. 89
3.3. Administration Tools. 96
3.4. Creating Connections. 120
3.5. Summary. 123
4. Data Modeling. 125
4.1. Why Use Data Models?. 126
4.2. Types of Data Models. 129
4.3. Creating Models by Importing Data. 135
4.4. Creating Models from Live Data Sources. 150
4.5. Editing Models in the Modeler. 158
4.6. Summary. 169
5. Business Intelligence: Visualizations and Dashboards. 171
5.1. What Are Stories?. 172
5.2. Creating Stories. 174
5.3. Creating, Editing, and Formatting Charts. 189
5.4. Creating, Editing, and Formatting Tables. 209
5.5. Geo Maps. 215
5.6. Texts, RSS Readers, and Other Elements. 218
5.7. How Viewers Interact with Stories. 221
5.8. Calculations. 236
5.9. Story Design. 242
5.10. Sharing and Publishing Stories. 245
5.11. Additional Story Functionalities. 254
5.12. Optimized Story View Mode. 259
5.13. Summary. 261
6. Planning. 263
6.1. Planning in SAP Analytics Cloud. 263
6.2. Creating and Setting Up a Planning Model. 270
6.3. Planning-Specific Functionality. 289
6.4. Summary. 314
7. Predictive Analytics. 317
7.1. What Is Predictive Analytics?. 317
7.2. Smart Assist. 322
7.3. Smart Predict: Predictive Scenarios. 336
7.4. Summary. 343
8. Advanced Development Environment. 345
8.1. The History of Stories and Applications. 345
8.2. Creating Applications. 348
8.3. Custom Widgets. 366
8.4. Summary. 370
9. SAP Digital Boardroom. 373
9.1. What Is SAP Digital Boardroom?. 374
9.2. Creating Boardrooms. 379
9.3. Hardware Recommendations. 392
9.4. Summary. 393
10. SAP Analytics Hub and the Analytics Catalog for SAP Analytics Cloud. 395
10.1. What Is SAP Analytics Hub?. 396
10.2. Setup and Content Creation. 398
10.3. Analytics Catalog. 406
10.4. Summary. 409
. The Author. 411
. Index. 413
