SAS positioned as a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions

SAS believes product innovation and trusted support are key to market growth.

SAS is named a Leader in the 2020 Gartner Magic Quadrant for Data Quality Solutions*, based on completeness of vision and ability to execute. This is the fourteenth consecutive time that SAS has been named a Leader.

According to the Gartner report, “Effective data quality practices require more than a tool. A complete data quality solution includes built-in workflow, knowledge bases, collaboration, interactive analytics, and automation to support various uses cases across different industries and disciplines.”

SAS is transforming its data quality products by bringing them into SAS® Viya® – a cloud-native platform with improved open-source support – enabling tighter integration of data quality functions with SAS analytics, data integration, data preparation and data governance.




“Today, organizations rely on data for every aspect of their business, and the requirement that it be managed and trusted has never been greater,” said Todd Wright, Senior Product Marketing Manager for Data Management at SAS. “SAS has made data quality and governance central to all our solutions, giving our customers the confidence that the decisions they make from analytics are sound. SAS continues to innovate in the data quality and governance space, building off our leadership for the betterment of our customers,” added Wright.

SAS data quality products include SAS® Data Management, SAS® Data Quality, SAS® Data Governance and SAS® Data Preparation.



Gartner’s Magic Quadrant customer reference survey shows that organizations estimate the average cost of poor data quality at $12.9 million every year.


Recommended Resources

Eight ways an enterprise data strategy enables big data analytics.

Data quality: The Achilles heel of risk management.

Understand what you need to know about data quality management.

*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 SAS. 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.

**Gartner Magic Quadrant for Data Quality Solutions by Melody Chien, Ankush Jain, 27 July 2020.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

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