SAP Master Data Governance - The Comprehensive Guide

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von Bikram Dogra, Antony Isacc, Homiar Kalwachwala, Dilip Radhakrishnan, Syama Srinivasan, Sandeep Chahal, Santhosh Cheekoti, Rajani Khambhampati, Vikas Lodha, David Quirk

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Produktdetails

Verlag	Rheinwerk Verlag
Auflage	3. Auflage, 10.03.2023
Seiten	761
Format	18,3 x 5,0 x 26,4 cm
Gewicht	1758 g
Artikeltyp	Englisches Buch
Reihe	SAP PRESS Englisch
EAN	9781493223152
Bestell-Nr	49322315UA

Produktbeschreibung

Manage your SAP S/4HANA and SAP ERP master data with this hands-on guide! Walk through implementing, configuring, and using SAP Master Data Governance, both on-premise and in the cloud! Whether your organization requires custom applications or works with out-of-the-box central governance, consolidation, and mass processing, you'll find detailed instructions for every step. From data modeling to data replication, this comprehensive guide will help you master your data!a. ModelingCreate and extend data models by mastering entity types, attributes, hierarchies, and other elements. Use the floorplan manager for UI modeling and explore the use of change requests and workflows in process modeling.b. Data Quality and ReplicationEnsure your organization is using quality data in its operations. Learn to remediate and your enrich data. Then, move that data to where it needs to be in your system using tools like the data export framework, data import frameworks, and entity-based upload/download.c. Integrations and ExtensionsPut SAP MDG to use in your entire landscape by integrating with SAP Integration Suite, Central Finance, SAP Product Lifecycle Management, SAP Ariba, and more. Explore SAP MDG's quick start options and complementary solutions from SolEx.Highlights:On-premise and cloud deploymentData modelingProcess modelingData qualityData replicationData migrationConsolidationOperationsMass processingIntegrationsExtensionsAnalytics

Inhalt:

... Preface ... 19

... Who This Book Is For ... 20

... How This Book Is Organized ... 20

... Acknowledgments ... 24

... Conclusion ... 25

1 ... Introduction to Enterprise Information Management ... 27

1.1 ... Stages of Enterprise Information Management Engagement ... 28

1.2 ... Organizational Drivers for Enterprise Information Management ... 29

1.3 ... Enterprise Information Management Capabilities ... 35

1.4 ... Key SAP Solutions for Enterprise Information Management ... 44

1.5 ... SAP Cloud Solutions for Information Management ... 50

1.6 ... SAP Master Data Governance ... 57

1.7 ... Summary ... 62

2 ... Introduction to SAP Master Data Governance ... 63

2.1 ... Use Cases ... 63

2.2 ... Architecture ... 66

2.3 ... Overview of Data Domains ... 73

2.4 ... Summary ... 94

3 ... SAP Master Data Governance, Cloud Edition ... 95

3.1 ... Introduction ... 95

3.2 ... Overview of Processes in SAP Master Data Governance, Cloud Edition ... 99

3.3 ... Workflow Integration ... 116

3.4 ... Address Validation ... 117

3.5 ... Document Management Services ... 119

3.6 ... Summary ... 121

4 ... Deployment Options ... 123

4.1 ... Deployment Options ... 124

4.2 ... Summary ... 146

5 ... Central Governance: Data Modeling ... 147

5.1 ... Introduction to Data Modeling in SAP Master Data Governance ... 148

5.2 ... Configuring Data Models ... 161

5.3 ... Standard Data Models ... 171

5.4 ... Extending Standard Data Models ... 184

5.5 ... Summary ... 186

6 ... Central Governance: User Interface Modeling ... 187

6.1 ... Floorplan Manager ... 187

6.2 ... User Interface Framework ... 191

6.3 ... Enhancing the SAP-Delivered User Interface ... 213

6.4 ... Summary ... 219

7 ... Central Governance: Process Modeling ... 221

7.1 ... Governance Scope ... 221

7.2 ... Change Requests ... 223

7.3 ... Single-Record Processing ... 244

7.4 ... Multiple Object Processing ... 257

7.5 ... Workflow Process Modeling ... 270

7.6 ... Summary ... 288

8 ... Data Quality, Search, and Remediations ... 291

8.1 ... Search Functionality ... 292

8.2 ... Duplicate Check ... 306

8.3 ... Business Rules in Central Governance ... 310

8.4 ... Data Enrichment ... 323

8.5 ... Managing Data Quality ... 333

8.6 ... Data Quality Remediation ... 353

8.7 ... SAP Master Data Governance: Data Quality Management Content for SAP Analytics Cloud ... 369

8.8 ... Summary ... 371

9 ... Consolidation and Mass Processing ... 373

9.1 ... Use Cases ... 375

9.2 ... Setting Up the Environment for Consolidation and Mass Processing ... 377

9.3 ... SAP-Delivered Data Models ... 382

9.4 ... Process Steps Overview and Configuration ... 390

9.5 ... Designing and Configuring Process Templates ... 410

9.6 ... Loading Data into Source Tables ... 414

9.7 ... Operating and Running Consolidation and Mass Processing Applications ... 420

9.8 ... Technical Architecture ... 429

9.9 ... Backend Extensibility ... 456

9.10 ... Consolidation in SAP Master Data Governance, Cloud Edition ... 492

9.11 ... Summary ... 492

10 ... Data and Process Analytics ... 493

10.1 ... Process Analytics Overview and Analysis Drilldown ... 494

10.2 ... Change Request Analytics Using Master Data Attributes ... 499

10.3 ... Change Analytics for Master Data in Change Requests ... 503

10.4 ... Summary ... 505

11 ... Central Governance: Building Custom Applications ... 507

11.1 ... Custom Data Models ... 508

11.2 ... Create a Custom Data Model ... 512

11.3 ... Create a Custom User Interface ... 536

11.4 ... Process Modeling ... 554

11.5 ... Security and Roles ... 561

11.6 ... Data Replication ... 572

11.7 ... Enabling Key Mapping ... 581

11.8 ... Enabling Value Mapping ... 582

11.9 ... Enabling Notifications ... 584

11.10 ... Summary ... 586

12 ... Data Replication Framework ... 587

12.1 ... Building Blocks and Configuration Objects ... 588

12.2 ... Material Master Replication ... 619

12.3 ... Customer, Supplier, and Business Partner Replication ... 623

12.4 ... Financial Master Data Replication ... 624

12.5 ... Replication Options for Non-SAP Systems ... 629

12.6 ... Operations ... 630

12.7 ... Summary ... 637

13 ... Central Governance: Integration Scenarios ... 639

13.1 ... SAP Master Data Governance Application Programming ... 639

13.2 ... Integration with SAP Solutions ... 642

13.3 ... Integration with Third-Party Solutions ... 649

13.4 ... Summary ... 650

14 ... Master Data Migration ... 651

14.1 ... Data Migration Options ... 652

14.2 ... Data Migration Strategies ... 665

14.3 ... Summary ... 683

15 ... Central Governance: Operational Strategies ... 685

15.1 ... Edition Strategy ... 685

15.2 ... Ongoing Data Loads ... 692

15.3 ... Performance Optimization ... 697

15.4 ... Data Archiving ... 698

15.5 ... Data Read Access Logging ... 699

15.6 ... Troubleshooting ... 701

15.7 ... Summary ... 703

16 ... SAP Fiori Applications ... 705

16.1 ... Introduction to SAP Fiori ... 705

16.2 ... SAP Fiori Applications for SAP Master Data Governance ... 707

16.3 ... Extensibility Options ... 719

16.4 ... Summary ... 730

17 ... Overview of SAP Master Data Governance Complementary Solutions ... 731

17.1 ... SAP Solution Extensions Partner Solutions ... 731

17.2 ... Quick-Start for SAP Master Data Governance ... 735

17.3 ... Summary ... 743

... The Authors ... 745

... Index ... 749

Autorenporträt anzeigen

Bikram Dogra is a principal architect at SAP America with the Data and Technology Services (DBS) team. He has been working in the SAP Master Data Governance consulting area for more than 10 years, helping customers with master data management strategy, architecture, and implementation. He has successfully led many large SAP Master Data Governance implementation projects for Fortune 500 companies. Bikram has more than 25 years of IT experience in enterprise software implementation, architecture design, and solution consulting. He has worked in many technology areas such as Microsoft, Java/J2EE, Oracle, SAP Portal, SAP Master Data Management, SAP Master Data Governance, and middleware technologies.
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.
Dilip Radhakrishnan has more than 15 years' experience in the enterprise software industry, designing and architecting enterprise solutions for companies globally. He has extensive experience in data management, specifically master data management, data governance, and data quality management. He has worked with a variety of SAP customers from a number of industries to implement end-to-end data management solutions. Currently Dilip is responsible for the enterprise information management portfolio in the SAP ValuePrototyping team. Together with his team of experts, he works on piloting and prototyping solutions for some of the most complex EIM customer cases. Dilip was also the solution architect for SAP MDG for the retail and fashion industry before it was converted into a standard product.
Syama "Srini" Srinivasan is an SAP certified professional and principal platinum consultant in the SAP North America Enterprise Information Management consulting team. He has more than 22 years of experience working with SAP software. Throughout his career he has implemented SAP solutions, and defined best practices, processes, strategies, and methodologies for enterprise master data management solutions. Srini was also involved in product testing and customer validation projects for SAP HANA SDI and SDQ and SAP HANA ADP. He has worked on several complex master data governance implementation projects across a variety of industries and is currently engaged in implementing SAP MDG for some of the top global companies and corporations in North America.

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