Part V Master Data Management: Markets, Trends, and Directions
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
PART V
Master Data Management: Markets, Trends, and Directions
Chapter 18
MDM Vendors and Products Landscape
Chapter 19
Where Do We Go from Here?
In the previous parts of the book, we described the goals, principles, benefits, architecture, design, data governance, data quality, and implementation concerns of MDM solutions in a way that was independent of specific vendors and their products. This independence from vendors and products allowed us to concentrate on defining Master Data Management and Master Data Governance and how they should be designed, enabled, and implemented.
This part of the book addresses two additional topics and is organized into two chapters. Chapter 18 offers an overview of the key MDM vendors and their products, whereas Chapter 19 provides a brief summary of all the topics discussed in the book from a more prescriptive point of view by focusing on the major reasons why MDM projects fail. Chapter 19 concludes with a discussion on the MDM industry, market, and technical trends and directions of Master Data Management. This discussion is aimed at providing readers with the authors’ insight into what may lie ahead for us on this long and winding road to creating, managing, and effectively using information assets in a global enterprise.
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