Data and analytics leaders can use this Hype Cycle to understand the latest trends and innovations driving 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.
- What You Need to Know
- The Hype Cycle
- The Priority Matrix
- Off the Hype Cycle
- On the Rise
- Business Continuity for Data and Analytics
- Data Security Governance
- Adaptive Data and Analytics Governance
- Augmented MDM
- Analytics Stewardship
- Responsible AI
- AI Governance
- Trust-Based Data and Analytics Governance
- Data Literacy
- At the Peak
- Augmented Data Quality
- Digital Ethics
- Interenterprise MDM
- Data Hub Strategy
- Data Catalog
- Cloud MDM
- Sliding Into the Trough
- 360-Degree View
- Data and Analytics Governance
- Digital Twin
- 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
- 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.