abstract background

 

SAS is a Leader in the 2016 Gartner Magic Quadrant for Data Quality Tools

Proud to be recognized for 11 years*** based on completeness of vision and ability to execute. 


Magic Quadrant for Data Quality Tools

Data quality solutions from SAS help you remediate data problems and make better business decisions.

The most effective business practices are based on high-quality data. When you have accurate, up-to-date information driving your processes, you can operate more efficiently – and boost your chances of making the best possible decision. But good data quality isn't easy to achieve, especially when data is constantly streaming into your business from a wide variety of sources.    

"It is estimated that up to 40 percent of business initiatives fail due to data quality issues," said Matthew Magne, Global Product Marketing Manager for Data Management at SAS. "SAS Data Quality provides best-in-class capabilities for data profiling, governance, monitoring and process orchestration, not to mention supporting a number of different business roles – from data stewards to business analysts."

The report's authors note that, "The data quality tools market remains vibrant, owing to greater adoption on the demand side and consequently growth in market revenue on the supply side. We continue to see high demand for data quality tools from many verticals and organization sizes, including midsize organizations (which traditionally tended not to buy them). This demand for data quality tools is driven both by organizations continuing to invest in digital business initiatives as well as organizations seeking to cut costs and optimize business operations. Therefore, we see data quality tools being applied in a wide range of scenarios, such as BI and analytics (analytical scenarios), MDM (operational scenarios), information governance programs, ongoing operations, data migrations, and inter-enterprise data sharing."

gartner-logo
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.

Gartner**

*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 Saul Judah, Mei Yang Selvage and Ankush Jain, 23 November 2016.
***DataFlux in 2006-2011.

Back to Top