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Multi-Domain Master Data Management

Advanced MDM and Data Governance in Practice

  • 1st Edition - March 21, 2015
  • Latest edition
  • Authors: Mark Allen, Dalton Cervo
  • Language: English

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master da… Read more

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Description

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration.

Key features

  • Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective.
  • Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes.
  • Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.

Readership

Data Management Professionals and Practitioners

Table of contents

  • Dedication

Endorsements

Acknowledgments

About the Authors

Preface

  • Overview of the Book

Part I: Planning Your Multi-Domain Initiative

  • Chapter 1: Strategy, Scope, and Approach
    • Abstract
    • Defining Multi-domain MDM
    • Multi-domain MDM Strategy and Approach
    • How and Where to Start?
    • Multi-domain MDM Scope
    • Conclusion
  • Chapter 2: Defining and Prioritizing Master Data
    • Abstract
    • Identifying Domains
    • Identifying Master Data
    • Identifying Sources of Master Data
    • Determining the Master Data Elements
    • Business Definition Conflicts
    • Prioritizing Domains
    • Conclusion
  • Chapter 3: Architecture and Technology Considerations
    • Abstract
    • Multi-domain MDM Technological Background
    • MDM Architectures and Styles
    • Multi-domain MDM Technical Implementation Considerations
    • Technical Considerations to Other Major Functions
    • What About Big Data?
    • Conclusion
  • Chapter 4: Program Management Office Implementation
    • Abstract
    • Business and IT Alignment Considerations
    • Building Cross-Functional Alignment
    • Coordination of MDM Roles and Responsibilities
    • Handling Organization Change
    • PMO Tools and Processes
    • Program Communication
    • Program Value
    • Issue Management and Resolution
    • Conclusion
  • Chapter 5: Defining a Cross-Domain Maturity Model
    • Abstract
    • Maturity States
    • How and Where Can Maturity Be Measured?
    • Conclusion

Part II: Implementing the Multi-Domain Model

  • Chapter 6: Establishing Multi-Domain Data Governance
    • Abstract
    • The Data Governance Role and Relationship with MDM
  • Chapter 7: Data Stewardship
    • Abstract
    • What Is the Current State of Data Governance?
    • Should “Data Steward” Be a Formal Job Role and Job Title?
    • What is the Right Data Steward Approach Within Each MDM Domain?
    • How to Engage Data Stewards in Data Access Control Processes?
    • What Processes and Technologies Are Needed to Support Data Steward Roles?
    • Conclusion
  • Chapter 8: Data Integration
    • Abstract
    • Why Is Data Integration Necessary?
    • Data Integration Life Cycle
    • Entity Resolution Within the Data Integration Life Cycle
    • Conclusion
  • Chapter 9: Data Quality Management
    • Abstract
    • DQM in a Multi-domain MDM Environment
    • A Data-Quality Model
    • Data-Quality Improvement Cycle and Activities
    • Conclusion
  • Chapter 10: Metadata Management
    • Abstract
    • Metadata Management in the Context of Multi-Domain MDM
    • Metadata in a Typical Company
    • Metadata Management Goals
    • Organizing Metadata Management
    • Conclusion

Part III: Sustainability and Improvement

  • Chapter 11: Performance Measurement
    • Abstract
    • Strategic-Level Measurements
    • Tactical-Level Measurements
    • Operational-Level Measurements
    • Other Factors That Can Influence Performance Measurements
    • Conclusion
  • Chapter 12: Continuous Improvement
    • Abstract
    • Continuous Improvement in a Nutshell
    • Continuous Improvement in Multi-Domain MDM
    • Conclusion

Index

Review quotes

"...well written; is technical as needed, without the pitfall of discussing too-specific implementation options; and has the necessary procedural and governance counterweights to kickstart and sustain multi-domain MDM initiatives…a good reference manual for those who plan to roll out MDM initiatives or have to navigate existing ones."—Computing Reviews

Product details

  • Edition: 1
  • Latest edition
  • Published: March 27, 2015
  • Language: English

About the authors

MA

Mark Allen

Mark Allen is co-author of the book Master Data Management in Practice: Achieving True Customer MDM (John Wiley & Sons, 2011) and is a senior IT consultant and enterprise data governance lead at WellPoint, Inc. Before joining WellPoint, Mark was a senior program manager in customer operation groups at both Sun Microsystems and Oracle Corporation. At Sun Microsystems, Mark served as the lead data steward for the customer data domain throughout the planning and implementation of Sun’s customer data hub. Mark has over 20 years of data management and project management experience including extensive planning and deployment experience with customer master initiatives, data governance, and leading data quality management practices. Mark speaks at Data Governance and Information Quality (DGIQ) conferences and has served on various customer advisory boards focused on sharing and enhancing MDM and data governance practices.
Affiliations and expertise
Manager, Enterprise Data Governance, WellPoint, Inc., Colorado, USA.

DC

Dalton Cervo

Dalton Cervo is co-author of the book Master Data Management in Practice: Achieving True Customer MDM (John Wiley & Sons, 2011) and is founder of Data Gap Consulting. Dalton provides consulting in Data Management, including Data Architecture, Multi-Domain MDM, Data Governance, Data Quality, Data Migration and Integration, and Metadata Management. Prior to founding Data Gap Consulting, Dalton worked as a senior consultant for SAS/DataFlux, helping organizations in multiple industries with their Data Management and MDM needs. Dalton was also a Senior Project Manager at Oracle/Sun Microsystems, leading Data Quality and MDM efforts as part of a Data Governance Program responsible for defining policies and procedures governing the oversight of Master Customer Data. Dalton has served on various Customer Advisory Boards and has presented at multiple Data Management conferences. Dalton has over 20 years’ experience in Data Management and Software Development, with BS Degree in Computer Science, PM Certification, and an MBA.
Affiliations and expertise
Founder of Data Gap Consulting, Colorado, USA.

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