Gartner Research

Hype Cycle for Data and Analytics Governance and Master Data Management, 2019

Published: 10 July 2019

ID: G00369901

Analyst(s): Saul Judah

Summary

Data and analytics leaders should use this Hype Cycle to understand the viability of the most hyped practices and technologies for 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.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • FinDRA
    • Data Security Governance
    • Adaptive Data and Analytics Governance
    • AI Governance
    • Data Literacy
    • Machine Learning-Enabled Data Quality
    • Trust-Based Data and Analytics Governance
    • Content Integration Services
  • At the Peak
    • Data Storytelling
    • Interenterprise MDM
    • Data Hub Strategy
    • Multivector MDM Solutions
    • 360-Degree View
    • Cloud MDM Hub Services
    • Digital Ethics
    • Digital Twin
    • Data Catalog
    • Data Classification
    • Enterprise Metadata Management
    • Analytics Governance
  • Sliding Into the Trough
    • Data and Analytics Governance
    • 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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