Gartner Research

Hype Cycle for Enterprise Information Management, 2019

Published: 25 July 2019

ID: G00370217

Analyst(s): Andrew White, Lydia Clougherty Jones

Summary

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

Analysis

  • 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

Gartner Recommended Reading

©2020 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Purchase this Document

To purchase this document, you will need to register or sign in above

Become a client

Learn how to access this content as a Gartner client.