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by David Loshin
Master Data Management
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Table of Contents
Praise for Master Data Management
Copyright
Preface
Acknowledgments
About the Author
Chapter 1. Master Data and Master Data Management
1.1. Driving the Need for Master Data
1.2. Origins of Master Data
1.3. What Is Master Data?
1.4. What Is Master Data Management?
1.5. Benefits of Master Data Management
1.6. Alphabet Soup: What about CRM/SCM/ERP/BI (and Others)?
1.7. Organizational Challenges and Master Data Management
1.8. MDM and Data Quality
1.9. Technology and Master Data Management
1.10. Overview of the Book
1.11. Summary
Chapter 2. Coordination
2.1. Introduction
2.2. Communicating Business Value
2.3. Stakeholders
2.4. Developing a Project Charter
2.5. Participant Coordination and Knowing Where to Begin
2.6. Establishing Feasibility through Data Requirements
2.7. Summary
Chapter 3. MDM Components and the Maturity Model
3.1. Introduction
3.2. MDM Basics
3.3. Manifesting Information Oversight with Governance
3.4. Operations Management
3.5. Identification and Consolidation
3.6. Integration
3.7. Business Process Management
3.8. MDM Maturity Model
3.9. Developing an Implementation Road Map
3.10. Summary
Chapter 4. Data Governance for Master Data Management
4.1. Introduction
4.2. What Is Data Governance?
4.3. Setting the Stage: Aligning Information Objectives with the Business Strategy
4.4. Data Quality and Data Governance
4.5. Areas of Risk
4.6. Risks of Master Data Management
4.7. Managing Risk through Measured Conformance to Information Policies
4.8. Key Data Entities
4.9. Critical Data Elements
4.10. Defining Information Policies
4.11. Metrics and Measurement
4.12. Monitoring and Evaluation
4.13. Framework for Responsibility and Accountability
4.14. Data Governance Director
4.15. Data Governance Oversight Board
4.16. Data Coordination Council
4.17. Data Stewardship
4.18. Summary
Chapter 5. Data Quality and MDM
5.1. Introduction
5.2. Distribution, Diffusion, and Metadata
5.3. Dimensions of Data Quality
5.4. Employing Data Quality and Data Integration Tools
5.5. Assessment: Data Profiling
5.6. Data Cleansing
5.7. Data Controls
5.8. MDM and Data Quality Service Level Agreements
5.9. Influence of Data Profiling and Quality on MDM (and Vice Versa)
5.10. Summary
Chapter 6. Metadata Management for MDM
6.1. Introduction
6.2. Business Definitions
6.3. Reference Metadata
6.4. Data Elements
6.5. Information Architecture
6.6. Metadata to Support Data Governance
6.7. Services Metadata
6.8. Business Metadata
6.9. Summary
Chapter 7. Identifying Master Metadata and Master Data
7.1. Introduction
7.2. Characteristics of Master Data
7.3. Identifying and Centralizing Semantic Metadata
7.4. Unifying Data Object Semantics
7.5. Identifying and Qualifying Master Data
7.6. Summary
Chapter 8. Data Modeling for MDM
8.1. Introduction
8.2. Aspects of the Master Repository
8.3. Information Sharing and Exchange
8.4. Standardized Exchange and Consolidation Models
8.5. Consolidation Model
8.6. Persistent Master Entity Models
8.7. Master Relational Model
8.8. Summary
Chapter 9. MDM Paradigms and Architectures
9.1. Introduction
9.2. MDM Usage Scenarios
9.3. MDM Architectural Paradigms
9.4. Implementation Spectrum
9.5. Applications Impacts and Architecture Selection
9.6. Summary
Chapter 10. Data Consolidation and Integration
10.1. Introduction
10.2. Information Sharing
10.3. Identifying Information
10.4. Consolidation Techniques for Identity Resolution
10.5. Classification
10.6. Consolidation
10.7. Additional Considerations
10.8. Summary
Chapter 11. Master Data Synchronization
11.1. Introduction
11.2. Aspects of Availability and Their Implications
11.3. Transactions, Data Dependencies, and the Need for Synchrony
11.4. Synchronization
11.5. Conceptual Data Sharing Models
11.6. Incremental Adoption
11.7. Summary
Chapter 12. MDM and the Functional Services Layer
12.1. Collecting and Using Master Data
12.2. Concepts of the Services-Based Approach
12.3. Identifying Master Data Services
12.4. Transitioning to MDM
12.5. Supporting Application Services
12.6. Summary
Chapter 13. Management Guidance for MDM
13.1. Establishing a Business Justification for Master Data Integration and Management
13.2. Developing an MDM Road Map and Rollout Plan
13.3. Roles and Responsibilities
13.4. Project Planning
13.5. Business Process Models and Usage Scenarios
13.6. Identifying Initial Data Sets for Master Integration
13.7. Data Governance
13.8. Metadata
13.9. Master Object Analysis
13.10. Master Object Modeling
13.11. Data Quality Management
13.12. Data Extraction, Sharing, Consolidation, and Population
13.13. MDM Architecture
13.14. Master Data Services
13.15. Transition Plan
13.16. Ongoing Maintenance
13.17. Summary: Excelsior!
Bibliography and Suggested Reading
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