Gartner® Hype Cycle™ for Data Management 2021

DQLabs mentioned in the Gartner report titled, “Hype Cycle for Data Management 2021” in the Augmented Data Quality Category.

PASADENA, Calif. | September 2, 2021

DQLabs, Inc.,  announced today that DQLabs was listed in the augmented data quality category by Gartner in their report “Hype Cycle for Data Management 2021”.

According to the report, “This Hype Cycle helps data and analytics leaders plan ahead and make informed decisions relative to emerging and maturing data management technologies. We believe that inclusion of augmented data quality in this Gartner report is quite timely and important given the challenge of managing trusted, high-quality data at scale has increasingly become a limiting factor,” said Raj Joseph, CEO, DQLabs, Inc. “We consider that it’s great news that DQLabs is cited given our focus on empowering organizations with deeper data quality insights, next-best-action suggestions and a higher degree of automation and to be recognized in this space shows that we aren’t just disrupting the industry with our unique ML and self-learning capabilities but leading the way through innovation and proven market use cases.”

With the rapid growth of distributed data landscapes, the diversity of data and the number of new business requirements, augmented data quality technologies facilitate and automate manually intensive data quality processes. Traditional data governance and catalog solutions have not been able to keep up with their promises and leaders in data governance and management are taking a “Data Quality First” approach. With DQLabs’ augmented data quality capabilities, enterprises solve complex data quality requirements quickly and effectively. These augmented capabilities also lead to higher productivity, greater accuracy and provide immediate ROI.

About DQLabs, Inc.

DQLabs, Inc is a leading innovator in the space of Data Quality. With its augmented data quality platform, organizations manage the entire data quality life cycle from measurement and monitoring to improvement of data quality along with business benefit outcome measures across any type of data. With ML and self-learning capabilities, organizations not only improve ROI but also enrich customer experiences by discovering trustable data within minutes.

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[1] Gartner, “Hype Cycle for Data Management, 2021”, Philip Russom, Donald Feinberg, 27 July 2021

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