Hype Cycle for Master Data Management, 2011

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Summary

Master data management is a technology-enabled business discipline that helps organizations achieve a "single version of the truth" in such important areas as customers, products and accounts. This Hype Cycle looks at the noteworthy technology elements that enable MDM.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off The Hype Cycle
    • On the Rise
      • Master Content Management
      • MDM of Social Data
      • MDM Software as a Service
      • Reference Data Management
      • Application-Specific Data Stewardship
      • MDM-Aware Applications
      • MDM Applets
      • MDM of Human Resource Data
      • Open-Source MDM Software
      • Information Semantic Services
      • MDM of Purchased Parts
      • MDM of Supplier Data
      • Multivector MDM
    • At the Peak
      • Enterprise Taxonomy and Ontology Management
      • Data Services
      • Data Stewardship Applications
      • Enterprisewide Metadata Repositories
      • Analytical MDM
      • Entity Resolution and Analysis
      • Multidomain MDM
    • Sliding Into the Trough
      • Multicommerce MDM
      • MDM of Asset Data
      • Data Integration Tool Suites
      • MDM of Product Data
      • MDM of Customer Data
      • Master Data Management for Retail
      • Government Data Interoperability
    • Climbing the Slope
      • Information Exchanges and Global Data Synchronization
      • Data Quality Tools
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Recommended Reading
© 2011 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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