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SAS is a Leader in the 2019 Gartner Magic Quadrant for Data Quality Tools


Gartner Magic Quadrant for Data Quality Tools leaders graphic

Set the stage for better business decisions with better data.

For the 13th consecutive time, SAS has been named a Leader in the Gartner Magic Quadrant for Data Quality Tools, based on completeness of vision and ability to execute.

“The underpinning to successful digital transformation and AI initiatives is high-quality data. Companies need to trust the data feeding their analytics processes and enforce data governance policies to achieve faster time to value,” said Todd Wright, Senior Product Marketing Manager for Data Management at SAS. “SAS builds data quality into every aspect of our solutions, making it easy for organizations to make better, more informed business decisions.”

According to SAS, SAS Data Quality delivers trusted data by supporting traditional and emerging data sources – such as Hadoop, Impala, Amazon Redshift and more – throughout the entire data life cycle. By improving data where it lives, SAS provides faster and more secure data access. With data constantly flowing in and out, businesses rely on SAS to establish repeatable processes that build and maintain high-quality data.

“SAS continues to build on our leadership in data quality and data governance so customers can get the insights and value they need from their data,” added Wright.

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Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models.

Gartner Inc.

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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. 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.

Magic Quadrant for Data Quality Tools by Melody Chien and Ankush Jain, 27 March 2019.

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