Master Data Management and Data Governance
by Larry Dubov, Alex Berson
Master Data Management and Data Governance
- Cover Page
- Master Data Management and Data Governance
- Copyright Page
- Contents
- Forewords
- Acknowledgments
- Introduction
- Part I Introduction to Master Data Management
- 1 Overview of Master Data Management
- 2 MDM: Overview of Market Drivers and Key Challenges
- Market Growth and Adoption of MDM
- Business and Operational Drivers of MDM
- Improving Customer Experience
- Improving Customer Retention and Reducing Attrition Rates
- Growing Revenue by Leveraging Customer Relationships
- Improving Customer Service Time:Just-in-Time Information Availability
- Improving Marketing Effectiveness
- Reducing Administrative Process Costs and Inefficiencies
- Reducing Information Technology Maintenance Costs
- MDM Challenges
- Senior Management Commitment and Value Proposition
- Customer Centricity and a 360-Degree View of a Customer
- Challenges of Selling MDM Inside the Enterprise
- Socializing MDM as a Multidimensional Challenge
- Technical Challenges of MDM
- Implementation Costs and Time-to-Market Concerns
- Data Quality, Data Synchronization, and Integration Challenges
- Data Visibility, Security, and Regulatory Compliance
- Challenges of Global MDM Implementations
- References
- 3 MDM Applications by Industry
- Part II Architectural Considerations
- 4 MDM Architecture Classifications, Concepts, Principles, and Components
- 5 Data Management Concerns of MDM Architecture: Entities, Hierarchies, and Metadata
- 6 MDM Services for Entity and Relationships Resolution and Hierarchy Management
- 7 Master Data Modeling
- Part III Data Security, Privacy, and Regulatory Compliance
- 8 Overview of Risk Management for Master Data
- 9 Introduction to Information Security and Identity Management
- 10 Protecting Content for Secure Master Data Management
- 11 Enterprise Security and Data Visibility in Master Data Management Environments
- Part IV Implementing and Governing Master Data Management
- 12 Building a Business Case and Roadmap for MDM
- 13 Project Initiation
- Implementation Begins
- Scope Definition
- Business Processes
- Lines of Business and Functions
- Customer Touch Points, Product Types, and Account Types
- Levels of Aggregation and Relationship Types
- Entities and Attributes
- Systems and Applications in Scope
- MDM Data Hub Solution Architecture
- Data Hub Architecture Styles
- Phased Implementation of Customer Data Hub
- Artifacts That Should Be Produced in the Project Initiation Phase
- Project Work Streams
- References
- 14 Entity Resolution: Identification, Matching, Aggregation, and Holistic View of the Master Objects
- Holistic Entity View and a 360-Degree View of a Customer: Frequently Used Terms and Definitions
- Attributes and Attribute Categories Commonly Used for Matching and Identification
- Record Qualification Attributes
- Customer Identification, Matching Process, and Models
- Summary of Data-Matching Requirements and Solutions
- References
- 15 Beyond Party Match: Merge, Split, Party Groups, and Relationships
- 16 Data Synchronization, MDM System Testing, and Other Implementation Concerns
- 17 Master Data Governance
- Part V Master Data Management: Markets, Trends, and Directions
- Part VI Appendixes
- Index
-
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