Gartner Research

Establish a Data Quality Program to Support Digital Business

Published: 16 April 2015

ID: G00276894

Analyst(s): Mei Selvage

Summary

A data quality program is vital for business analytics and MDM. Yet many organizations struggle to use DQ to support business objectives. To turn it around, identify high-value use cases and assess DQ's maturity first, and then analyze typical DQ issues and make them visible.

Table Of Contents

Analysis

  • Why Is DQ So Important for Digital Business?
  • Becoming Aware of Seven Typical Challenges of DQ
  • Strengths
  • Weaknesses

Guidance

  • Align DQ With Business Objectives, and Identify High-Value Use Cases
  • Assess the Maturity of DQ/MDM, and Discover Immediate Opportunities
  • Analyze If Typical DQ Issues Fall Into the Business Arena or the IT Arena
  • Making the Invisible Visible by Exposing DQ's Hidden Costs and Benefits

The Details

  • Debunk Six Common Myths

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