Gartner Research

Doing 'Just Enough' Master Data Management for Business Analytics

Published: 05 May 2015

ID: G00262677

Analyst(s): Lyn Robison

Summary

This document introduces a pragmatic approach to master data management that can improve the data quality foundation of business analytics without becoming a stumbling block to the business analytics effort.

Table Of Contents

Problem Statement

The Gartner Approach

The Guidance Framework

  • Prework
  • Step 1: Identify the Source Systems and the Primary Topics
  • Step 2: Establish a Registry
  • Step 3: Build Cross-Reference Tables in the Registry to Reconcile the Identifiers
  • Step 4: Cross-Reference the Identifiers for the Analytics Data
  • Follow-Up

Risks and Pitfalls

  • This Approach Is Merely a Stopgap for a Lack of EIM Maturity
  • Establishing Data Governance by Businesspeople Can Be Problematic
  • Identifiers Might Not Be the Only Data Quality Problem
  • Even With This Lightweight Approach, the Costs Might Be Too High
  • The Automated Tools Might Not Be Up to the Job

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