Hype Cycle for Information Governance and Master Data Management, 2018


Published: 24 July 2018 ID: G00340185

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Summary

Information governance and MDM are technology-enabled business disciplines. They enable data and analytics leaders to apply decision frameworks and establish trust over business-critical assets, such as key data, analytic models, decision models and AI algorithms, to achieve greater business value.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • AI Governance
      • Adaptive Data and Analytics Governance
      • Data Literacy
      • Machine Learning-Enabled Data Quality
      • Trust-Based Data and Analytics Governance
      • Data Storytelling
    • At the Peak
      • Multienterprise MDM
      • Data Hub Strategy
      • Digital Twin
      • Multivector MDM Solutions
      • 360-Degree View
      • Data Classification
      • Digital Ethics
      • File Analysis
      • Cloud MDM Hub Services
      • Analytics Governance
      • Data Catalog
      • Enterprise Metadata Management
      • Data and Analytics Governance
    • Sliding Into the Trough
      • Information Stewardship Applications
      • Metadata Management Solutions
      • Multidomain MDM Solutions
      • Application Data Management
      • Information Stewardship
      • Master Data Management
    • Climbing the Slope
      • MDM of Customer Data
      • MDM of Product Data
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2018 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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