Inhaltsverzeichnis

Alle Kapitel aufklappen
Alle Kapitel zuklappen
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
1.2.1 Enterprise Information Management Benefits and Drivers
30
1.2.2 Building the Business Case
32
1.3 Enterprise Information Management Capabilities
35
1.3.1 Architecture and Metadata Management
35
1.3.2 Data Integration
36
1.3.3 Data Quality
36
1.3.4 Master Data Management
36
1.3.5 Content Management
39
1.3.6 Information Lifecycle Management
40
1.3.7 Federated Master Data Landscape
40
1.3.8 SAP One Domain Model
42
1.4 Key SAP Solutions for Enterprise Information Management
44
1.4.1 SAP Data Services
44
1.4.2 SAP Information Steward
45
1.4.3 SAP HANA Smart Data Integration and SAP HANA Smart Data Quality
46
1.4.4 SAP Agile Data Preparation
47
1.4.5 SAP Information Lifecycle Management
48
1.4.6 SAP Content Management Solutions by OpenText
49
1.5 SAP Cloud Solutions for Information Management
50
1.5.1 SAP Data Intelligence Cloud
51
1.5.2 SAP Data Quality Management, Microservices for Location Data
52
1.5.3 Data Attribute Recommendation
53
1.5.4 SAP Master Data Integration
54
1.5.5 SAP Master Data Orchestration
55
1.6 SAP Master Data Governance
57
1.6.1 SAP Master Data Governance, Cloud Edition
60
1.6.2 SAP Master Data Governance on SAP S/4HANA Cloud, Private Edition
61
1.6.3 SAP S/4HANA Cloud for Master Data Governance
62
1.7 Summary
62
2 Introduction to SAP Master Data Governance
63
2.1 Use Cases
63
2.2 Architecture
66
2.2.1 Overview
66
2.2.2 Available User Interfaces
70
2.3 Overview of Data Domains
73
2.3.1 Material Master
73
2.3.2 Business Partner, Supplier, and Customer
76
2.3.3 Customer-Vendor Integration
81
2.3.4 Solution Extension Offerings
89
2.3.5 Financials
90
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
3.2.1 Central Governance
99
3.2.2 Consolidation
104
3.2.3 Managing Data Quality
110
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
4.1.1 Hub versus Co-Deployment
124
4.1.2 Limitations and Restrictions
126
4.1.3 Initial Build
127
4.1.4 Quick-Start for SAP Master Data Governance
129
4.1.5 Customizing Synchronization
130
4.1.6 Reference Master Data Synchronization
143
4.1.7 On-Premise versus Cloud Deployment
143
4.2 Summary
146
5 Central Governance: Data Modeling
147
5.1 Introduction to Data Modeling in SAP Master Data Governance
148
5.1.1 Master Data Create/Change Process
148
5.1.2 Entity Types
150
5.1.3 Attributes
156
5.1.4 Relationships
157
5.1.5 Hierarchies
158
5.1.6 Entity Relationship Model Diagram
160
5.2 Configuring Data Models
161
5.2.1 Define Business Object Type Codes and Entity Types
161
5.2.2 Define Prefixes for Internal Key Assignment
162
5.2.3 Edit Data Model
163
5.2.4 Define Authorization Relevance per Entity Type
165
5.2.5 Generate Data Model-Specific Structures
166
5.2.6 Assign Package and Define Package Groups
167
5.2.7 Service Mapping Tool
169
5.3 Standard Data Models
171
5.3.1 Material Master Data Model
171
5.3.2 Business Partner Data Model
175
5.3.3 Financial Data Model
181
5.4 Extending Standard Data Models
184
5.4.1 Adding Attributes to Standard Data Models
185
5.4.2 Adding New Entities to the Data Model
186
5.5 Summary
186
6 Central Governance: User Interface Modeling
187
6.1 Floorplan Manager
187
6.2 User Interface Framework
191
6.2.1 Overview
192
6.2.2 Configuration
199
6.2.3 Material Master
204
6.2.4 Business Partner, Customer, Supplier, and FI Contract Account Governance
207
6.2.5 Financial Domains
210
6.3 Enhancing the SAP-Delivered User Interface
213
6.3.1 Customizing
213
6.3.2 Personalizing
214
6.3.3 Enhancement
215
6.3.4 Context-Based Adaptations
215
6.3.5 Copy Application Configuration (Deep-Copy)
216
6.3.6 Modification
217
6.3.7 Change Request User Interface Building Block Enhancement BAdIs
218
6.4 Summary
219
7 Central Governance: Process Modeling
221
7.1 Governance Scope
221
7.2 Change Requests
223
7.2.1 Change Request Header
225
7.2.2 Logical Action
228
7.2.3 Business Activity
228
7.2.4 Change Request Type
230
7.2.5 Change Request Steps
233
7.2.6 Change Request Actions and Step Types
238
7.2.7 User Interface Determination
241
7.2.8 Editions
242
7.3 Single-Record Processing
244
7.3.1 Central Master Data Governance Scenarios
245
7.3.2 Processing Customer on a Client System
255
7.3.3 Business Context Viewer Side Panels
256
7.4 Multiple Object Processing
257
7.4.1 Mass Change
257
7.4.2 File Upload/Download
258
7.4.3 Data Import Process
260
7.4.4 Hierarchy Processing
261
7.4.5 Multiple-Record Processing
269
7.5 Workflow Process Modeling
270
7.5.1 Standard Workflow Templates
272
7.5.2 Rule-Based Workflows
278
7.5.3 Available Business Add-Ins
288
7.6 Summary
288
8 Data Quality, Search, and Remediations
291
8.1 Search Functionality
292
8.1.1 Overview
292
8.1.2 Search Applications
294
8.1.3 Match Profiles
297
8.1.4 SAP HANA–Based Search Setup
299
8.1.5 SAP HANA Search Extensibility
304
8.2 Duplicate Check
306
8.3 Business Rules in Central Governance
310
8.3.1 Code Lists
311
8.3.2 Simple Checks
311
8.3.3 Checks Based on Data Modeling
312
8.3.4 Checks and Validations Based on Business Rules Framework Plus
313
8.3.5 Validations Based on Business Add-Ins
320
8.4 Data Enrichment
323
8.4.1 Integration with SAP Data Quality Management for Address Standardization
324
8.4.2 Integration with Third-Party Data Enrichment Tools
328
8.4.3 SAP Business Partner Screening for SAP S/4HANA
330
8.5 Managing Data Quality
333
8.5.1 Process Overview
334
8.5.2 Managing Derivation Scenarios
337
8.5.3 Manage Validation Rules
338
8.5.4 Rule Mining Process Overview
342
8.5.5 Data Quality Evaluation Process Overview
343
8.6 Data Quality Remediation
353
8.6.1 Overview
354
8.6.2 Remediation Process
357
8.6.3 Configuration
364
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
9.2.1 Activate Business Functions
377
9.2.2 Activate Transaction SICF Services
377
9.2.3 Authorization Objects and Roles
378
9.2.4 Grant Permissions and Privileges for SAP HANA-Based Fuzzy Matching
380
9.2.5 Basic Configuration for Background Remote Function Calls
381
9.2.6 Determination of Business System
381
9.2.7 Set Up the Workflow
381
9.3 SAP-Delivered Data Models
382
9.3.1 Overview of Process Models
383
9.3.2 Business Partner and Relationships
384
9.3.3 Material
388
9.4 Process Steps Overview and Configuration
390
9.4.1 Standardization
393
9.4.2 Update and Edit
396
9.4.3 Matching
397
9.4.4 Best Record Calculation
401
9.4.5 Validation
403
9.4.6 Filter and Remove
405
9.4.7 Activation
406
9.4.8 Scheduling Process Steps
408
9.5 Designing and Configuring Process Templates
410
9.6 Loading Data into Source Tables
414
9.6.1 Import Data for Consolidation
415
9.6.2 SAP Landscape Transformation Replication Server
417
9.6.3 SAP HANA Studio
419
9.6.4 Usage of Consolidation Processes for Service-Oriented Architecture Inbound Processing
419
9.7 Operating and Running Consolidation and Mass Processing Applications
420
9.7.1 Starting a Consolidation Process
421
9.7.2 Starting Mass Processing
422
9.7.3 Manage Consolidation and Mass Processing Processes
423
9.7.4 Troubleshooting Errors in Consolidation and Mass Processing
427
9.8 Technical Architecture
429
9.8.1 Overview
430
9.8.2 Frontend Architecture
431
9.8.3 Backend Architecture
450
9.9 Backend Extensibility
456
9.9.1 Building Custom Objects: Consolidation
456
9.9.2 Building Custom Objects: Mass Processing
489
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
11.1.1 Project System in SAP S/4HANA
508
11.1.2 Data Modeling Tools
510
11.2 Create a Custom Data Model
512
11.2.1 Concepts and Prerequisites
513
11.2.2 Creating Entities
516
11.2.3 Adding Attributes to Entities
529
11.2.4 Representing the Work Breakdown Structure Hierarchically
530
11.2.5 Generic Interaction Layer Data Model
533
11.2.6 Hierarchy Data Model Types
535
11.3 Create a Custom User Interface
536
11.3.1 User Interface Framework
537
11.3.2 Design and Develop the User Interface
538
11.3.3 Develop a Single Object Maintenance User Interface
544
11.4 Process Modeling
554
11.4.1 Create a New Business Object
554
11.4.2 Create a New Business Activity
555
11.4.3 Assign Business Activities and Logical Actions to Business Objects
556
11.4.4 Maintain Settings for Business Activity Determination
557
11.4.5 Create a Change Request Type
558
11.4.6 Workflow Settings
560
11.5 Security and Roles
561
11.5.1 Authorization Objects
561
11.5.2 Roles
564
11.5.3 Homepage
568
11.6 Data Replication
572
11.6.1 Customizing Settings for Data Replication
572
11.6.2 Data Replication Framework Runtime Settings for Project Definition
576
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
12.1.1 Building Blocks
589
12.1.2 Configuration Objects
602
12.1.3 Enhance Default Settings for Outbound Implementations
609
12.2 Material Master Replication
619
12.3 Customer, Supplier, and Business Partner Replication
623
12.3.1 Service Oriented Architecture-Based Replication
623
12.3.2 Application Link Enabling-Based Replication
624
12.4 Financial Master Data Replication
624
12.4.1 Account Replication
625
12.4.2 Company Replication
626
12.4.3 Cost Element Replication
626
12.4.4 Profit Center and Profit Center Hierarchy Replication
627
12.4.5 Cost Center and Cost Center Hierarchy Replication
628
12.4.6 Internal Order Replication
628
12.5 Replication Options for Non-SAP Systems
629
12.6 Operations
630
12.6.1 Logging, Tracing, and Monitoring Tools
630
12.6.2 Change Pointers
632
12.6.3 Check Data Replication Framework Customizing
633
12.6.4 Delete Replication Log
633
12.6.5 Display Object Replication Status
635
12.6.6 Delete Replication Status
636
12.6.7 Subscribe Objects for Data Replication
636
12.7 Summary
637
13 Central Governance: Integration Scenarios
639
13.1 SAP Master Data Governance Application Programming
639
13.1.1 Governance Application Programming Interface
640
13.1.2 Convenience Application Programming Interface
641
13.1.3 Application Context Application Programming Interface
641
13.2 Integration with SAP Solutions
642
13.2.1 SAP Cloud for Customer
642
13.2.2 SAP Ariba Supplier Lifecycle and Performance
644
13.2.3 Central Finance
645
13.2.4 SAP Product Lifecycle Management
646
13.2.5 SAP Product Content Management
647
13.2.6 SAP Information Lifecycle Management
648
13.2.7 SAP Information Steward
648
13.3 Integration with Third-Party Solutions
649
13.4 Summary
650
14 Master Data Migration
651
14.1 Data Migration Options
652
14.1.1 Migration Use Cases
652
14.1.2 Data Extraction from SAP ERP
653
14.1.3 Transaction MDMGX Data Extraction from SAP ERP
655
14.1.4 Data Conversion Option in SAP Master Data Governance
659
14.1.5 Data Load Options in SAP Master Data Governance
660
14.1.6 General Recommendations for Initial Data Load
662
14.2 Data Migration Strategies
665
14.2.1 Data Import/Export Framework
665
14.2.2 Key Mapping and Value Mapping
670
14.2.3 SAP Master Data Governance File Upload/Download
673
14.3 Summary
683
15 Central Governance: Operational Strategies
685
15.1 Edition Strategy
685
15.1.1 Creating New Editions
687
15.1.2 Releasing Editions
688
15.1.3 Monitoring Editions
689
15.2 Ongoing Data Loads
692
15.2.1 Creating Mass Change Requests for Mass Loads
692
15.2.2 Scheduling File Uploads in the Background
694
15.2.3 Operating with the Data Import/Export Framework
695
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
16.3.1 Redefinition of OData Service
720
16.3.2 Extension of the User Interface Layer
722
16.3.3 Launchpad Extension
728
16.3.4 User Interface Theme Designer
729
16.4 Summary
730
17 Overview of SAP Master Data Governance Complementary Solutions
731
17.1 SAP Solution Extensions Partner Solutions
731
17.1.1 SAP Master Data Governance, Enterprise Asset Management Extension by Utopia
732
17.1.2 SAP Asset Information Workbench by Utopia
733
17.1.3 SAP Master Data Governance, Retail and Fashion Management Extension by Utopia
734
17.1.4 Other Partner Add-Ons Complementing SAP Master Data Governance
735
17.2 Quick-Start for SAP Master Data Governance
735
17.2.1 Benefits for Your IT Team
736
17.2.2 Benefits for Your Business Team
737
17.2.3 Benefits for the SAP Master Data Governance Implementation Team
738
17.2.4 Contents Delivered as Part of Quick-Start for SAP Master Data Governance
739
17.2.5 Deployment Approaches
741
17.2.6 Post-Deployment Steps
743
17.3 Summary
743
The Authors
745
Index
749