Gartner Research

Hype Cycle for Enterprise Information Management, 2017

Published: 03 August 2017

ID: G00314205

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

Summary

All organizations are challenged in getting more value from their data and maximizing its role in driving better business outcomes. This Hype Cycle tracks the practices and disciplines of EIM and serves as a guide for CIOs and chief data officers leading data and analytics programs.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Algorithmic Business
    • Human-in-the-Loop Crowdsourcing
    • Trust-Based Information Governance Models
    • Infonomics
    • Self-Service Data & Analytics
    • Analytics Governance
    • Citizen Data Science
    • Data Hub Strategy
    • Digital Ethics
  • At the Peak
    • Graph Analytics
    • Data as a Service
    • Data Classification
    • Decision Management
    • File Analysis
    • Data Catalog
    • Enterprise Metadata Management
    • Machine Learning
    • Semantic Virtual Data Tier
    • Business Capability Modeling
    • Information Governance
    • Open Data
    • Data Lakes
    • Enterprise Information Management Programs
    • Predictive Analytics
    • Reference Data Management
  • Sliding Into the Trough
    • Information Capabilities Framework
    • Information Architecture
    • Application Data Management
    • Information Stewardship
    • Logical Data Warehouse
    • Master Data Management
    • Entity Resolution and Analysis
  • Climbing the Slope
    • SaaS Archiving of Messaging Data
    • Enterprise Information Archiving
    • Content Migration
  • Entering the Plateau
    • Data Quality Tools
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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