Gartner Research

Hype Cycle for Data and Analytics Governance and Master Data Management, 2020

Summary

Data and analytics leaders can use this Hype Cycle to understand the latest trends and innovations driving data and analytics governance and MDM. Selecting the right decision and trust frameworks at the right time is key to realizing business value from information assets.

Published: 16 July 2020

ID: G00441544

Analyst(s): Saul Judah Andrew White

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Business Continuity for Data and Analytics
    • FinDRA
    • Data Security Governance
    • Adaptive Data and Analytics Governance
    • Augmented MDM
    • Analytics Stewardship
    • Responsible AI
    • AI Governance
    • Trust-Based Data and Analytics Governance
    • Data Literacy
  • At the Peak
    • Augmented Data Quality
    • Digital Ethics
    • Interenterprise MDM
    • Data Hub Strategy
    • Data Catalog
    • Cloud MDM
  • Sliding Into the Trough
    • 360-Degree View
    • Data and Analytics Governance
    • Digital Twin
    • Information Stewardship Applications
    • Metadata Management Solutions
    • Application Data Management
    • Multidomain MDM Solutions
    • 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

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