Data Management and Analytics with SAP BTP

1. Auflage 2026
ISBN: 978-1-4932-2729-7
Verlag: Rheinwerk Verlag GmbH

Buch, Englisch, 483 Seiten, Format (B × H): 183 mm x 261 mm, Gewicht: 1014 g

How does SAP BTP help you create a cohesive enterprise data landscape? Find out in this book! Start by developing a cloud-based data strategy and learning how to assess and improve the quality of your data. Then walk through key SAP BTP functions for data and analytics: storing data with SAP HANA Cloud, data modeling and management with SAP Business Data Cloud, and data-driven decision-making with SAP Analytics Cloud. Get on the cutting edge with SAP BTP’s AI tools, including SAP AI Core and Joule. With information on real-world scenarios like fraud detection and ethical supply chains, this is the guide you need!

Highlights include:

1)Data strategy

2) Data quality

3) Data storage

4) Data fabric

5) Master data management

6) SAP Analytics Cloud

7) SAP HANA Cloud

8) SAP Datasphere

9)SAP Business Data Cloud

10)SAP Master Data Governance, cloud edition

11)Artificial intelligence

12)Business scenarios

Autoren/Hrsg.

Gehlot, Dhirendra

Gericke, Jeff

Gupta, Shibajee Dutta

Isacc, Antony

Kalwachwala, Homiar

Markham, Rick

Munshi, Asim

Sam, Chris

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

... Preface ... 15

... Who This Book Is For ... 16

... How This Book Is Organized ... 16

... Acknowledgments ... 21

... Conclusion ... 22

1 ... Introduction ... 25

1.1 ... Build, Run, and Optimize a Business ... 25

1.2 ... Challenges for Executives ... 30

1.3 ... Characteristics of a Successful, Data-Focused Organization ... 31

1.4 ... Data Strategy and Information Management Maturity Models ... 34

1.5 ... Data Integration ... 35

1.6 ... Data Tiers in SAP ... 45

1.7 ... SAP Business Technology Platform ... 52

1.8 ... SAP’s Data and Analytics Portfolio ... 56

1.9 ... Enterprise Value and Data Fabric ... 63

1.10 ... Bringing Them Together with SAP ... 71

1.11 ... Summary ... 74

2 ... Data Strategy ... 77

2.1 ... Overview ... 78

2.2 ... Defining a Data Strategy ... 79

2.3 ... Data and Information Management Maturity Models ... 104

2.4 ... SAP’s Advisory Methodologies ... 119

2.5 ... Summary ... 124

3 ... Overview of SAP Business Technology Platform ... 127

3.1 ... Fundamentals ... 128

3.2 ... Data and Analytics ... 139

3.3 ... Application Development ... 141

3.4 ... Integration ... 148

3.5 ... Automation ... 158

3.6 ... Artificial Intelligence ... 160

3.7 ... Use Cases ... 162

3.8 ... Summary ... 171

4 ... Data Quality ... 173

4.1 ... Introduction to Data Quality ... 174

4.2 ... Data Profiling Approach ... 203

4.3 ... Data Cleansing Approach ... 219

4.4 ... User Training and Enablement ... 250

4.5 ... Summary ... 254

5 ... Master Data Management ... 255

5.1 ... Overview ... 256

5.2 ... Key Features ... 262

5.3 ... Architecture and Deployment Models ... 282

5.4 ... Master Data Integration ... 292

5.5 ... Enabling a Business Data Fabric ... 293

5.6 ... User Training and Enablement ... 294

5.7 ... Summary ... 295

6 ... Data Storage with SAP HANA Cloud ... 297

6.1 ... Key Features ... 298

6.2 ... Use Cases ... 315

6.3 ... User Training and Enablement ... 317

6.4 ... Summary ... 320

7 ... Data Fabric with SAP Business Data Cloud ... 321

7.1 ... Architecture ... 322

7.2 ... SAP Business Data Cloud Cockpit ... 329

7.3 ... SAP Datasphere ... 331

7.4 ... SAP Business Warehouse and SAP BW/4HANA ... 345

7.5 ... SAP Databricks ... 347

7.6 ... SAP Analytics Cloud ... 350

7.7 ... Business Use Cases ... 353

7.8 ... Summary ... 359

8 ... Data-Driven Decision-Making with SAP Analytics Cloud ... 361

8.1 ... Introduction ... 362

8.2 ... SAP Analytics Cloud Capabilities ... 366

8.3 ... Decision-Making with SAP Analytics Cloud ... 391

8.4 ... Sharing, Collaborating, and Exporting ... 396

8.5 ... Business Content and Accelerators ... 398

8.6 ... User Training and Enablement ... 403

8.7 ... Best Practices ... 405

8.8 ... Summary ... 407

9 ... Artificial Intelligence for Data and Analytics ... 409

9.1 ... AI Concepts ... 410

9.2 ... AI in SAP Solutions ... 431

9.3 ... Integration with SAP Products ... 440

9.4 ... SAP Joule Assistance During Implementation ... 442

9.5 ... User Training and Enablement ... 445

9.6 ... Summary ... 449

10 ... Business and Integration Scenarios ... 451

10.1 ... Sustainable Enterprise ... 452

10.2 ... Ethical Supply Chain ... 454

10.3 ... Managing Private and Secure Data ... 455

10.4 ... Fraud Detection ... 457

10.5 ... Predictive Maintenance ... 460

10.6 ... Data Quality Firewall ... 462

10.7 ... Guided End-User Priorities and Application Navigation ... 465

10.8 ... Custom Operating Guides and User Documentation ... 468

10.9 ... Summary ... 471

... The Authors ... 473

... Index ... 477

Über Autor(innen)

Kalwachwala, Homiar
Homiar Kalwachwala is a senior consulting manager in the Data & Technology Services practice within Global Consulting Delivery at SAP. He is head of the Global Middleware Services practice and also leads the Master Data Governance and Enterprise Information Management practices in North America. He started his SAP career in 1996 in the partner ecosystem and has held various management roles in SAP since 2005. During the last 11 years, he has managed consulting groups for SAP MDM, SAP MDG, EIM, SAP Process Integration/Orchestration, AIF, mobility, and SAP BW.