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SAP Master Data Governance: The Comprehensive Guide 3rd edition [Hardback]

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  • Formāts: Hardback, 762 pages, height x width x depth: 256x195x71 mm, weight: 1701 g
  • Izdošanas datums: 30-Nov-2022
  • Izdevniecība: SAP Press
  • ISBN-10: 1493223151
  • ISBN-13: 9781493223152
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SAP Master Data Governance: The Comprehensive Guide 3rd editionPalielināt
  • Formāts: Hardback, 762 pages, height x width x depth: 256x195x71 mm, weight: 1701 g
  • Izdošanas datums: 30-Nov-2022
  • Izdevniecība: SAP Press
  • ISBN-10: 1493223151
  • ISBN-13: 9781493223152
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781493223152.html
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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 deployment
  • Data modeling
  • Process modeling
  • Data quality
  • Data replication
  • Data migration
  • Consolidation
  • Operations
  • Mass processing
  • Integrations
  • Extensions
  • Analytics

Preface 19(8)
1 Introduction to Enterprise Information Management
27(36)
1.1 Stages of Enterprise Information Management Engagement
28(1)
1.2 Organizational Drivers for Enterprise Information Management
29(6)
1.2.1 Enterprise Information Management Benefits and Drivers
30(2)
1.2.2 Building the Business Case
32(3)
1.3 Enterprise Information Management Capabilities
35(9)
1.3.1 Architecture and Metadata Management
35(1)
1.3.2 Data Integration
36(1)
1.3.3 Data Quality
36(1)
1.3.4 Master Data Management
36(3)
1.3.5 Content Management
39(1)
1.3.6 Information Lifecycle Management
40(1)
1.3.7 Federated Master Data Landscape
40(2)
1.3.8 SAP One Domain Model
42(2)
1.4 Key SAP Solutions for Enterprise Information Management
44(6)
1.4.1 SAP Data Services
44(1)
1.4.2 SAP Information Steward
45(1)
1.4.3 SAP HANA Smart Data Integration and SAP HANA Smart Data Quality
46(1)
1.4.4 SAP Agile Data Preparation
47(1)
1.4.5 SAP Information Lifecycle Management
48(1)
1.4.6 SAP Content Management Solutions by OpenText
49(1)
1.5 SAP Cloud Solutions for Information Management
50(7)
1.5.1 SAP Data Intelligence Cloud
51(1)
1.5.2 SAP Data Quality Management, Microservices for Location Data
52(1)
1.5.3 Data Attribute Recommendation
53(1)
1.5.4 SAP Master Data Integration
54(1)
1.5.5 SAP Master Data Orchestration
55(2)
1.6 SAP Master Data Governance
57(5)
1.6.1 SAP Master Data Governance, Cloud Edition
60(1)
1.6.2 SAP Master Data Governance on SAP S/4HANA Cloud, Private Edition
61(1)
1.6.3 SAP S/4HANA Cloud for Master Data Governance
62(1)
1.7 Summary
62(1)
2 Introduction to SAP Master Data Governance
63(32)
2.1 Use Cases
63(3)
2.2 Architecture
66(7)
2.2.1 Overview
66(4)
2.2.2 Available User Interfaces
70(3)
2.3 Overview of Data Domains
73(21)
2.3.1 Material Master
73(3)
2.3.2 Business Partner, Supplier, and Customer
76(5)
2.3.3 Customer-Vendor Integration
81(8)
2.3.4 Solution Extension Offerings
89(1)
2.3.5 Financials
90(4)
2.4 Summary
94(1)
3 SAP Master Data Governance, Cloud Edition
95(28)
3.1 Introduction
95(4)
3.2 Overview of Processes in SAP Master Data Governance, Cloud Edition
99(17)
3.2.1 Central Governance
99(5)
3.2.2 Consolidation
104(6)
3.2.3 Managing Data Quality
110(6)
3.3 Workflow Integration
116(1)
3.4 Address Validation
117(2)
3.5 Document Management Services
119(2)
3.6 Summary
121(2)
4 Deployment Options
123(24)
4.1 Deployment Options
124(22)
4.1.1 Hub versus Co-Deployment
124(2)
4.1.2 Limitations and Restrictions
126(1)
4.1.3 Initial Build
127(2)
4.1.4 Quick-Start for SAP Master Data Governance
129(1)
4.1.5 Customizing Synchronization
130(13)
4.1.6 Reference Master Data Synchronization
143(1)
4.1.7 On-Premise versus Cloud Deployment
143(3)
4.2 Summary
146(1)
5 Central Governance; Data Modeling
147(40)
5.1 Introduction to Data Modeling in SAP Master Data Governance
148(13)
5.1.1 Master Data Create/Change Process
148(2)
5.1.2 Entity Types
150(6)
5.1.3 Attributes
156(1)
5.1.4 Relationships
157(1)
5.1.5 Hierarchies
158(2)
5.1.6 Entity Relationship Model Diagram
160(1)
5.2 Configuring Data Models
161(10)
5.2.1 Define Business Object Type Codes and Entity Types
161(1)
5.2.2 Define Prefixes for Internal Key Assignment
162(1)
5.2.3 Edit Data Model
163(2)
5.2.4 Define Authorization Relevance per Entity Type
165(1)
5.2.5 Generate Data Model-Specific Structures
166(1)
5.2.6 Assign Package and Define Package Groups
167(2)
5.2.7 Service Mapping Tool
169(2)
5.3 Standard Data Models
171(13)
5.3.1 Material Master Data Model
171(4)
5.3.2 Business Partner Data Model
175(6)
5.3.3 Financial Data Model
181(3)
5.4 Extending Standard Data Models
184(2)
5.4.1 Adding Attributes to Standard Data Models
185(1)
5.4.2 Adding New Entities to the Data Model
186(1)
5.5 Summary
186(1)
6 Central Governance; User Interface Modeling
187(34)
6.1 Floorplan Manager
187(4)
6.2 User Interface Framework
191(22)
6.2.1 Overview
192(7)
6.2.2 Configuration
199(5)
6.2.3 Material Master
204(3)
6.2.4 Business Partner, Customer, Supplier, and Fl Contract Account Governance
207(3)
6.2.5 Financial Domains
210(3)
6.3 Enhancing the SAP-Delivered User Interface
213(6)
6.3.1 Customizing
213(1)
6.3.2 Personalizing
214(1)
6.3.3 Enhancement
215(1)
6.3.4 Context-Based Adaptations
215(1)
6.3.5 Copy Application Configuration (Deep-Copy)
216(1)
6.3.6 Modification
217(1)
6.3.7 Change Request User Interface Building Block Enhancement BAdls
218(1)
6.4 Summary
219(2)
7 Central Governance; Process Modeling
221(70)
7.1 Governance Scope
221(2)
7.2 Change Requests
223(21)
7.2.1 Change Request Header
225(3)
7.2.2 Logical Action
228(1)
7.2.3 Business Activity
228(2)
7.2.4 Change Request Type
230(3)
7.2.5 Change Request Steps
233(5)
7.2.6 Change Request Actions and Step Types
238(3)
7.2.7 User Interface Determination
241(1)
7.2.8 Editions
242(2)
7.3 Single-Record Processing
244(13)
7.3.1 Central Master Data Governance Scenarios
245(10)
7.3.2 Processing Customer on a Client System
255(1)
7.3.3 Business Context Viewer Side Panels
256(1)
7.4 Multiple Object Processing
257(13)
7.4.1 Mass Change
257(1)
7.4.2 File Upload/Download
258(2)
7.4.3 Data Import Process
260(1)
7.4.4 Hierarchy Processing
261(8)
7.4.5 Multiple-Record Processing
269(1)
7.5 Workflow Process Modeling
270(18)
7.5.1 Standard Workflow Templates
272(6)
7.5.2 Rule-Based Workflows
278(10)
7.5.3 Available Business Add-ins
288(1)
7.6 Summary
288(3)
8 Data Quality, Search, and Remediations
291(82)
8.1 Search Functionality
292(14)
8.1.1 Overview
292(2)
8.1.2 Search Applications
294(3)
8.1.3 Match Profiles
297(2)
8.1.4 SAP HANA-Based Search Setup
299(5)
8.1.5 SAP HANA Search Extensibility
304(2)
8.2 Duplicate Check
306(4)
8.3 Business Rules in Central Governance
310(13)
8.3.1 Code Lists
311(1)
8.3.2 Simple Checks
311(1)
8.3.3 Checks Based on Data Modeling
312(1)
8.3.4 Checks and Validations Based on Business Rules Framework Plus
313(7)
8.3.5 Validations Based on Business Add-Ins
320(3)
8.4 Data Enrichment
323(10)
8.4.1 Integration with SAP Data Quality Management for Address Standardization
324(4)
8.4.2 Integration with Third-Party Data Enrichment Tools
328(2)
8.4.3 SAP Business Partner Screening for SAP S/4HANA
330(3)
8.5 Managing Data Quality
333(20)
8.5.1 Process Overview
334(3)
8.5.2 Managing Derivation Scenarios
337(1)
8.5.3 Manage Validation Rules
338(4)
8.5.4 Rule Mining Process Overview
342(1)
8.5.5 Data Quality Evaluation Process Overview
343(10)
8.6 Data Quality Remediation
353(16)
8.6.1 Overview
354(3)
8.6.2 Remediation Process
357(7)
8.6.3 Configuration
364(5)
8.7 SAP Master Data Governance: Data Quality Management Content for SAP Analytics Cloud
369(2)
8.8 Summary
371(2)
9 Consolidation and Mass Processing
373(120)
9.1 Use Cases
375(2)
9.2 Setting Up the Environment for Consolidation and Mass Processing
377(5)
9.2.1 Activate Business Functions
377(1)
9.2.2 Activate Transaction SICF Services
377(1)
9.2.3 Authorization Objects and Roles
378(2)
9.2.4 Grant Permissions and Privileges for SAP HANA-Based Fuzzy Matching
380(1)
9.2.5 Basic Configuration for Background Remote Function Calls
381(1)
9.2.6 Determination of Business System
381(1)
9.2.7 Set Up the Workflow
381(1)
9.3 SAP-Delivered Data Models
382(8)
9.3.1 Overview of Process Models
383(1)
9.3.2 Business Partner and Relationships
384(4)
9.3.3 Material
388(2)
9.4 Process Steps Overview and Configuration
390(20)
9.4.1 Standardization
393(3)
9.4.2 Update and Edit
396(1)
9.4.3 Matching
397(4)
9.4.4 Best Record Calculation
401(2)
9.4.5 Validation
403(2)
9.4.6 Filter and Remove
405(1)
9.4.7 Activation
406(2)
9.4.8 Scheduling Process Steps
408(2)
9.5 Designing and Configuring Process Templates
410(4)
9.6 Loading Data into Source Tables
414(6)
9.6.1 Import Data for Consolidation
415(2)
9.6.2 SAP Landscape Transformation Replication Server
417(2)
9.6.3 SAP HANA Studio
419(1)
9.6.4 Usage of Consolidation Processes for Service-Oriented Architecture Inbound Processing
419(1)
9.7 Operating and Running Consolidation and Mass Processing Applications
420(9)
9.7.1 Starting a Consolidation Process
421(1)
9.7.2 Starting Mass Processing
422(1)
9.7.3 Manage Consolidation and Mass Processing Processes
423(4)
9.7.4 Troubleshooting Errors in Consolidation and Mass Processing
427(2)
9.8 Technical Architecture
429(27)
9.8.1 Overview
430(1)
9.8.2 Frontend Architecture
431(19)
9.8.3 Backend Architecture
450(6)
9.9 Backend Extensibility
456(36)
9.9.1 Building Custom Objects: Consolidation
456(33)
9.9.2 Building Custom Objects: Mass Processing
489(3)
9.10 Consolidation in SAP Master Data Governance, Cloud Edition
492(1)
9.11 Summary
492(1)
10 Data and Process Analytics
493(14)
10.1 Process Analytics Overview and Analysis Drilldown
494(5)
10.2 Change Request Analytics Using Master Data Attributes
499(4)
10.3 Change Analytics for Master Data in Change Requests
503(2)
10.4 Summary
505(2)
11 Central Governance: Building Custom Applications
507(80)
11.1 Custom Data Models
508(4)
11.1.1 Project System in SAP S/4HANA
508(2)
11.1.2 Data Modeling Tools
510(2)
11.2 Create a Custom Data Model
512(24)
11.2.1 Concepts and Prerequisites
513(3)
11.2.2 Creating Entities
516(13)
11.2.3 Adding Attributes to Entities
529(1)
11.2.4 Representing the Work Breakdown Structure Hierarchically
530(3)
11.2.5 Generic Interaction Layer Data Model
533(2)
11.2.6 Hierarchy Data Model Types
535(1)
11.3 Create a Custom User Interface
536(18)
11.3.1 User Interface Framework
537(1)
11.3.2 Design and Develop the User Interface
538(6)
11.3.3 Develop a Single Object Maintenance User Interface
544(10)
11.4 Process Modeling
554(7)
11.4.1 Create a New Business Object
554(1)
11.4.2 Create a New Business Activity
555(1)
11.4.3 Assign Business Activities and Logical Actions to Business Objects
556(1)
11.4.4 Maintain Settings for Business Activity Determination
557(1)
11.4.5 Create a Change Request Type
558(2)
11.4.6 Workflow Settings
560(1)
11.5 Security and Roles
561(11)
11.5.1 Authorization Objects
561(3)
11.5.2 Roles
564(4)
11.5.3 Homepage
568(4)
11.6 Data Replication
572(9)
11.6.1 Customizing Settings for Data Replication
572(4)
11.6.2 Data Replication Framework Runtime Settings for Project Definition
576(5)
11.7 Enabling Key Mapping
581(1)
11.8 Enabling Value Mapping
582(2)
11.9 Enabling Notifications
584(2)
11.10 Summary
586(1)
12 Data Replication Framework
587(52)
12.1 Building Blocks and Configuration Objects
588(31)
12.1.1 Building Blocks
589(13)
12.1.2 Configuration Objects
602(7)
12.1.3 Enhance Default Settings for Outbound Implementations
609(10)
12.2 Material Master Replication
619(4)
12.3 Customer, Supplier, and Business Partner Replication
623(1)
12.3.1 Service Oriented Architecture-Based Replication
623(1)
12.3.2 Application Link Enabling-Based Replication
624(1)
12.4 Financial Master Data Replication
624(5)
12.4.1 Account Replication
625(1)
12.4.2 Company Replication
626(1)
12.4.3 Cost Element Replication
626(1)
12.4.4 Profit Center and Profit Center Hierarchy Replication
627(1)
12.4.5 Cost Center and Cost Center Hierarchy Replication
628(1)
12.4.6 Internal Order Replication
628(1)
12.5 Replication Options for Non-SAP Systems
629(1)
12.6 Operations
630(7)
12.6.1 Logging, Tracing, and Monitoring Tools
630(2)
12.6.2 Change Pointers
632(1)
12.6.3 Check Data Replication Framework Customizing
633(1)
12.6.4 Delete Replication Log
633(2)
12.6.5 Display Object Replication Status
635(1)
12.6.6 Delete Replication Status
636(1)
12.6.7 Subscribe Objects for Data Replication
636(1)
12.7 Summary
637(2)
13 Central Governance: Integration Scenarios
639(12)
13.1 SAP Master Data Governance Application Programming
639(3)
13.1.1 Governance Application Programming Interface
640(1)
13.1.2 Convenience Application Programming Interface
641(1)
13.1.3 Application Context Application Programming Interface
641(1)
13.2 Integration with SAP Solutions
642(7)
13.2.1 SAP Cloud for Customer
642(2)
13.2.2 SAP Ariba Supplier Lifecycle and Performance
644(1)
13.2.3 Central Finance
645(1)
13.2.4 SAP Product Lifecycle Management
646(1)
13.2.5 SAP Product Content Management
647(1)
13.2.6 SAP Information Lifecycle Management
648(1)
13.2.7 SAP Information Steward
648(1)
13.3 Integration with Third-Party Solutions
649(1)
13.4 Summary
650(1)
14 Master Data Migration
651(34)
14.1 Data Migration Options
652(13)
14.1.1 Migration Use Cases
652(1)
14.1.2 Data Extraction from SAP ERP
653(2)
14.1.3 Transaction MDMGX Data Extraction from SAP ERP
655(4)
14.1.4 Data Conversion Option in SAP Master Data Governance
659(1)
14.1.5 Data Load Options in SAP Master Data Governance
660(2)
14.1.6 General Recommendations for Initial Data Load
662(3)
14.2 Data Migration Strategies
665(18)
14.2.1 Data Import/Export Framework
665(5)
14.2.2 Key Mapping and Value Mapping
670(3)
14.2.3 SAP Master Data Governance File Upload/Download
673(10)
14.3 Summary
683(2)
15 Central Governance: Operational Strategies
685(20)
15.1 Edition Strategy
685(7)
15.1.1 Creating New Editions
687(1)
15.1.2 Releasing Editions
688(1)
15.1.3 Monitoring Editions
689(3)
15.2 Ongoing Data Loads
692(5)
15.2.1 Creating Mass Change Requests for Mass Loads
692(2)
15.2.2 Scheduling File Uploads in the Background
694(1)
15.2.3 Operating with the Data Import/Export Framework
695(2)
15.3 Performance Optimization
697(1)
15.4 Data Archiving
698(1)
15.5 Data Read Access Logging
699(2)
15.6 Troubleshooting
701(2)
15.7 Summary
703(2)
16 SAP Fiori Applications
705(26)
16.1 Introduction to SAP Fiori
705(2)
16.2 SAP Fiori Applications for SAP Master Data Governance
707(12)
16.3 Extensibility Options
719(11)
16.3.1 Redefinition of OData Service
720(2)
16.3.2 Extension of the User Interface Layer
722(6)
16.3.3 Launchpad Extension
728(1)
16.3.4 User Interface Theme Designer
729(1)
16.4 Summary
730(1)
17 Overview of SAP Master Data Governance Complementary Solutions
731(14)
17.1 SAP Solution Extensions Partner Solutions
731(4)
17.1.1 SAP Master Data Governance, Enterprise Asset Management Extension by Utopia
732(1)
17.1.2 SAP Asset Information Workbench by Utopia
733(1)
17.1.3 SAP Master Data Governance, Retail and Fashion Management Extension by Utopia
734(1)
17.1.4 Other Partner Add-Ons Complementing SAP Master Data Governance
735(1)
17.2 Quick-Start for SAP Master Data Governance
735(8)
17.2.1 Benefits for Your IT Team
736(1)
17.2.2 Benefits for Your Business Team
737(1)
17.2.3 Benefits for the SAP Master Data Governance Implementation Team
738(1)
17.2.4 Contents Delivered as Part of Quick-Start for SAP Master Data Governance
739(2)
17.2.5 Deployment Approaches
741(2)
17.2.6 Post-Deployment Steps
743(1)
17.3 Summary
743(2)
The Authors 745(4)
Index 749
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.