Gartner Research

Implementing the Technical Architecture for Master Data Management

Published: 14 February 2019

ID: G00377524

Analyst(s): Lyn Robison


Master data management is a technology-enabled business discipline, and to be successful, it needs the right MDM technology and the right MDM architecture implemented. This document defines the steps that technical professionals must follow to implement MDM technical architecture successfully.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework
    • Establish the MDM Vision and Strategy
    • Establish Metrics
    • Establish Information Governance
  • Step 1: Create Your MDM Teams and Organizational Structure
    • Three Groups of People Involved in MDM
    • A Note on Data Governance
    • The Process Part of MDM
  • Step 2: Choose the MDM Implementation Styles
    • The Four Implementation Styles
    • Additional Considerations for MDM
  • Step 3: Select the Data Domains to Include in Your MDM Effort
    • Distinguishing Between Master Data and Reference Data
    • Choosing the Most Impactful Data Domains to Start With
    • Expanding Your MDM Effort to Include More Data Types
  • Step 4: Develop Your Roadmap to MDM Maturity
    • Defining MDM Maturity
    • Building Your Organization’s MDM Maturity
  • Step 5: Select Your MDM Technology
    • MDM Technology Form Factors
    • MDM Reference Architecture
    • MDM Technology Considerations
  • Step 6: Execute a Series of Projects to Carry Out Your MDM Initiative
    • Two Camps With Two Different Mindsets, Combined in One
    • The Unifying Role of the MDM Infrastructure Team
    • One MDM Project at a Time
    • The Importance of Infrastructure
  • Follow-Up
    • Expand Your MDM Initiative as Warranted
    • Monitor the Future Directions of MDM

Risks and Pitfalls

  • Related Guidance

Gartner Recommended Reading

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