Gartner Research

Drive Data Quality Improvement From a Foundation of Metrics

Published: 22 July 2019

ID: G00378494

Analyst(s): Melody Chien

Summary

Measuring the quality of data is the first step for data quality assurance initiatives, and exposing metrics is critical to justify, prioritize and ensure continuous improvement. Data and analytics leaders should establish a metrics-based approach to understand the quality and status of their data.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Develop a Shared Definition of What Data Quality Means to the Organization
  • Identify Key Data Quality Metrics Based on the Definition
  • Ensure the Ongoing Measurement of Data Quality in Accordance With Defined Metrics
  • Decide What Actions to Take and Address Data Quality Issues Specifically

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