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