Gartner Research

Hype Cycle for Enterprise Information Management, 2016

Published: 13 July 2016

ID: G00290077

Analyst(s): Andrew White , Alan D. Duncan


The shift to digital business requires organizations to change how they use data and analytics as a decision-making tool. This Hype Cycle tracks the progress of various the practices and disciplines of enterprise information management to guide CIOs and CDOs with their EIM programs.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Algorithmic Business
    • Situationally Adaptive Behavior
    • Big Data Governance
    • Infonomics
    • Digital Ethics
    • Analytics Governance
    • Crowdsourcing of Microwork
    • Citizen Data Science
    • Data Classification
    • File Analysis
    • Graph Analytics
  • At the Peak
    • Semantic Virtual Data Tier
    • Open Data
    • Decision Management
    • Enterprise Metadata Management
    • Data Lakes
    • Information Capabilities Framework
    • Enterprise Information Management Programs
    • Information Architecture
    • Predictive Analytics
  • Sliding Into the Trough
    • Data Science
    • Application Data Management
    • Logical Data Warehouse
    • Intelligent Business Operations
    • Master Data Management
    • Information Stewardship
    • Entity Resolution and Analysis
    • Big Data
  • Climbing the Slope
    • SaaS Archiving of Messaging Data
    • Enterprise Information Archiving
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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