Gartner's Data Quality Maturity Model

Archived Published: 07 February 2007 ID: G00139742


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Some companies understand the great importance of projects to ensure that data is of high quality, but countless more have no concept of data quality at all. Use our model to gauge the maturity of your company's approach.

Table of Contents

  • What You Need to Know
    • Context
    • Analysis
      • Assessing Data Quality Maturity
    • Bottom Line
    • Key Facts
      • Definition of EIM
  • Recommended Reading
© 2007 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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