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

SAS today announced it was named a Leader in the Gartner Magic Quadrant for Data Quality Tools1, based on completeness of vision and ability to execute. This is the thirteenth consecutive time that SAS has been named a Leader.

According to the report, “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.”

“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.”

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

  • SAS Data Management is built on the SAS Platform with a solid data quality foundation that helps organizations improve, integrate and govern data. No matter where the data is stored – from legacy systems to Hadoop – SAS Data Management helps organizations access the data they need and create data management rules. The product gives organizations a standard, repeatable method for improving and integrating data – without additional cost.
  • 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 Data Preparation uses the fast processing power of SAS Viya® to help report builders, data scientists and data analysts blend, shape and cleanse data for analysis, identifying errors and providing data on demand so that organizations can make faster data-driven decisions. SAS enables users to profile and identify problems, preview data and set up repeatable processes to maintain a high level of data quality.

“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.

1 Gartner, Magic Quadrant for Data Quality Tools, Melody Chien, Ankush Jain, 27 March 2019

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