Magic Quadrant for Master Data Management of Customer Data Solutions


Published: 11 November 2015 ID: G00271783

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Summary

Trusted master data is increasingly recognized as a prerequisite for the realization of the digital business, and MDM of customer data is central to that requirement. This Magic Quadrant will help information management leaders find the right vendor of MDM of customer data solutions for their needs.

Table of Contents

  • Market Definition/Description
    • Revenue and License Count Estimates
  • Magic Quadrant
    • Vendor Strengths and Cautions
      • Ataccama
      • IBM (InfoSphere MDM Advanced Edition)
      • IBM (InfoSphere MDM Standard Edition)
      • Informatica
      • Oracle (Siebel UCM)
      • Orchestra Networks
      • Profisee
      • SAP (MDG-C)
      • Talend
      • TIBCO Software
      • VisionWare
    • Vendors Added and Dropped
      • Added
      • Dropped
  • Inclusion and Exclusion Criteria
    • Inclusion Criteria
      • Multiple Products
    • Exclusion Criteria
    • Description of MDM of Customer Data Solutions
  • Evaluation Criteria
    • Ability to Execute
    • Completeness of Vision
    • Quadrant Descriptions
      • Leaders
      • Challengers
      • Visionaries
      • Niche Players
  • Context
  • Market Overview
    • The Need for a Single View of the Customer
    • Market Growth Continues
    • How the Vendors Stack Up
    • Vendors Continue to Invest in Information Stewardship and Governance Technology
    • MDM of Customer Data and Big Data
  • Appendix
  • Gartner Recommended Reading
© 2015 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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