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Master Data Management in Practice: Achieving True Customer MDM

Book Description

Expert guidance for Master Data Management (MDM) implementation

Master Data Management in Practice provides a logical order toward planning, implementation, ongoing management, and advanced practices of Customer MDM with tables, graphs, and charts. Authors Dalton Cervo and Mark Allen show organizations how to implement Master Data Management (MDM) within their business model to create a more quality controlled approach for sucessfully managing and maintaining their customer master data. This book focuses on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices.

  • Designed for data management professionals and data management consulting firms
  • Addresses the aspects of defining the underlying scope, approach, architecture, and objectives necessary for the planning and execution of a Customer MDM initiative
  • Provides the practical insight, guidance, questions, and examples related to the implementation of the four foundational Customer MDM disciplines: Data Governance, Data Stewardship, Data Quality Management, and Data Access Management

Packed with helpful tables, graphs, and charts, Master Data Management in Practice discusses current concepts and future implications associated to Customer MDM, revealing a logical order toward the planning, implementation, and ongoing management of solid Customer MDM practices.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Foreword
  6. Preface
    1. Part I: Planning Your Customer MDM Initiative
    2. Part II: The Implementation Fundamentals
    3. Part III: Achieving a Steady State
    4. Part IV: Advanced Practices
  7. Acknowledgments
  8. Introduction
  9. Part I: Planning Your Customer MDM Initiative
    1. Chapter 1: Defining Your MDM Scope and Approach
      1. MDM Approaches and Architectures
      2. Defining the Business Case
      3. Selecting the Right MDM Approach
      4. Data Management Maturity Level
      5. Addressing the ROI Question
      6. Summary
      7. Notes
    2. Chapter 2: Establishing Effective Ownership
      1. The Question of Data Ownership
      2. Executive Involvement
      3. Creating Collaborative Partnerships
      4. Summary
      5. Notes
    3. Chapter 3: Priming the MDM Engine
      1. Introduction
      2. Positioning MDM Tools
      3. Data Integration and Synchronization
      4. Reference Data
      5. Metadata
      6. Summary
      7. Notes
  10. Part II: The Implementation Fundamentals
    1. Chapter 4: Data Governance
      1. Initiating a Customer Data Governance Model
      2. Planning and Design
      3. Implementation
      4. Summary
      5. Notes
    2. Chapter 5: Data Stewardship
      1. From Concept to Practice
      2. People
      3. Processes
      4. Data Caretaking
      5. Summary
    3. Chapter 6: Data Quality Management
      1. Implementing a Data Quality Model
      2. A Process for Data Quality
      3. Establishing a Data Quality Baseline
      4. Data Alignment and Fitness Assessment
      5. Data Correction Initiatives
      6. Summary
      7. Note
    4. Chapter 7: Data Access Management
      1. Creating the Business Discipline
      2. Preparing
      3. Profiling the Data
      4. Implementing and Managing the Process
      5. Summary
      6. Notes
  11. Part III: Achieving A Steady State
    1. Chapter 8: Data Maintenance and Metrics
      1. Data Maintenance
      2. Data Quality Metrics
      3. Summary
      4. Note
    2. Chapter 9: Maturing Your MDM Model
      1. How to Recognize and Gauge Maturity?
      2. Summary
      3. Notes
  12. Part IV: Advanced Practices
    1. Chapter 10: Creating the Customer 360° View
      1. Introduction
      2. Hierarchy Management (HM)
      3. The Elusive, yet Achievable, 360° Customer View
      4. Summary
    2. Chapter 11: Surviving Organizational Change
      1. How Adaptable Is Your Customer Master Data?
      2. Data Quality Factors
      3. The Change Management Challenge
      4. Summary
    3. Chapter 12: Beyond Customer MDM
      1. The Leading and Lagging Ends
      2. Technology's Influence on MDM
      3. Overcoming the IT and Business Constraints
      4. Achieving an Effective Enterprise-Wide MDM Model
      5. Where Does MDM Lead?
      6. Summary
      7. Note
  13. Recommended Reading
  14. About the Authors
  15. Index