SAS a Leader in Gartner Magic Quadrant for Data Quality Solutions

SAS announced it was 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 14th consecutive time that SAS has been named a Leader.

Read More: Turbonomic Named An Enterprise Management Associates Vendor To Watch

“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.”

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 use cases across different industries and disciplines.”

Read More: UST Global Announces New Offerings As More IT Operations And Workloads Are Shifted To The Cloud   

“SAS continues to innovate in the data quality and governance space, building off our leadership for the betterment of our customers,” added Wright.

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.

“The data quality solutions market continues to evolve and grow, fueled by desire for cost and operational efficiency,” states the Gartner report. “The solutions leverage augmented capabilities to deliver automation and insights. Data and analytics leaders should use this research to make the best choice for their organizations.”

Read More: SalesTechStar Interview With Tricia Bonora, Vice President, Channels At OPAQ

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

analyticsdata and analyticsData QualityGartnerNewsSAS
Comments (1)
Add Comment