Data and analytics (D&A) leaders must continuously improve data quality to ensure the success of master data management, artificial intelligence (AI), machine learning (ML) and more.
As you evaluate various data quality solutions, we believe you should keep an eye out for a key driver: augmented data quality (ADQ). ADQ is driven by AI/ML, metadata, convergence and integrations across data management offerings for game-changing automation.
Explore the vendor landscape and make the best choice with the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions. In fact, Informatica has been recognized as a Leader for the 16th time.
Get the report to learn:
- What to look for in an enterprise data quality solution
- An in-depth market evaluation and analysis of 13 vendors
- Why Informatica is named a Leader
1Gartner Magic Quadrant for Augmented Data Quality Solutions, Melody Chien, Jason Medd, 6 March 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Informatica.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
