Gartner Research

A Comparison of Master Data Management Implementation Styles

Published: 29 May 2019

Summary

MDM implementation styles are the basis of the architecture for MDM systems, whether they are built from components or bought as a platform. Data and analytics technical professionals can use the guidance in this document to select the appropriate implementation style for their MDM solutions.

Included in Full Research

  • The Drivers for MDM Adoption
  • The Four Styles of MDM
  • How Do the MDM Styles Compare?
  • Analysis of the Four MDM Implementation Styles
    • Another Way of Looking at the MDM Styles
    • Cloud, Multicloud, Real-Time Processing and MDM
  • Components of the Four MDM Implementation Styles
  • How Do the MDM Implementation Styles Differ From One Another?
  • The Power of a Component-Based Approach to MDM
    • Development and Governance Tools and Utilities
    • Master Data Definitions
    • Data Quality Processes
    • MDM Services Management and Managed Communications Infrastructure
    • MDM Utility Services
  • Examples for Selecting the Right MDM Implementation Style
    • Use Case 1: Improving the Quality of Analytics Data
    • Use Case 2: Improving the Effectiveness of an Existing ERP System Globally
    • Use Case 3: Linking Customer Data From Disparate Databases and Systems
    • Use Case 4: Identifying Relationships Between People and Businesses in Real Time
    • Use Case 5: Linking and Consolidating Records From Multiple Sources

Analysts:

Lyn Robison

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