WALLDORF — SAP SE (NYSE: SAP) has been named a Leader in the Leaders quadrant of Gartner’s 2019 “Magic Quadrant for Data Quality Tools” 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,” said Gartner. “This Magic Quadrant assesses 15 vendors to help you make the best choice for your organization.”
In the report, Gartner identified SAP as a Leader for its ability to execute and completeness of vision for the 13th consecutive time.**
“With a comprehensive portfolio of enterprise information management (EIM) solutions, including data quality as a core capability, SAP helps customers and partners become intelligent enterprises,” said Byron Banks, VP, Platform and Technologies Marketing at SAP. “As the industry moves from traditional IT-driven data quality tools to intelligent, business-driven ones, we believe this recognition from Gartner continues to show our leadership and excellence in this market.”
SAP solutions for EIM help customers manage Big Data and information so they can develop more efficient business processes and drive meaningful analytical insights. Users can govern data proactively across the organization and ensure trustworthy information for smarter decision-making. Data quality solutions from SAP help companies discover, refine, manage and orchestrate multifaceted data across distributed landscapes. Companies can profile, cleanse, enrich and match customer, product, supplier, material and other data domains, resulting in more accurate, reliable and timely information.
For additional information on Gartner’s 2019 “Magic Quadrant for Data Quality Tools,” read a complimentary copy of the full report here.
*Gartner, “Magic Quadrant for Data Quality Tools,” published March 27, 2019, by Melody Chien, Ankush Jain
**From 2006 through 2008, the Magic Quadrant for Data Quality Tools recognized BusinessObjects, which was acquired by SAP in October 2007
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