Gartner Research

Hype Cycle for Enterprise Information Management, 2019

Published: 25 July 2019

ID: G00370217

Analyst(s): Andrew White , Lydia Clougherty Jones


Hype around data and analytics is almost at fever pitch, driven in part by AI and automation. Yet organizations still struggle to deliver business value from data and analytics investments. EIM can help, as it aligns people, process, data assets and technology with enterprise value.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Adaptive Data and Analytics Governance
    • Artificial General Intelligence
    • Blockchain Data Exchanges
    • DataOps
    • AI Governance
    • Data Literacy
    • Information Products
    • Decision Intelligence
    • Trust-Based Data and Analytics Governance
    • Data for Good
    • Human-in-the-Loop Crowdsourcing
    • Synthetic Data
    • Infonomics
  • At the Peak
    • Self-Service Data and Analytics
    • Citizen Data Science
    • Data Hub Strategy
    • Smart Contracts
    • Augmented Analytics
    • Digital Ethics
    • Data Catalog
    • Data Classification
    • Enterprise Metadata Management
    • File Analysis
    • Graph Analytics
    • Prescriptive Analytics
    • Analytics Governance
    • Data as a Service
    • Data Engineering
  • Sliding Into the Trough
    • Data and Analytics Governance
    • Enterprise Information Management Programs
    • Information Architecture
    • Data Lakes
    • Information Stewardship
    • Master Data Management
  • Climbing the Slope
    • Predictive Analytics
    • Logical Data Warehouse
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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