erwin Named a Leader in the Gartner 2020 “Magic Quadrant for Metadata Management Solutions” for the Second Year in a Row

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The report recognizes erwin for its completeness of vision and ability to execute

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We are honored to be recognized for the second year in a row as a Leader by Gartner in its 2020 Magic Quadrant for Metadata Management Solutions. And we believe that our position enhancements in both vision and ability to execute affirm the power and value of our Data Intelligence Suite.

erwin, the data governance company, today announced it has been positioned as a Leader in the Gartner 2020 “Magic Quadrant for Metadata Management Solutions.” This is the second consecutive year erwin has been named in the Leaders quadrant.

Gartner says: “Metadata management is a core aspect of an organization’s ability to manage its data and information assets. The term ‘metadata’ describes the various facets of an information asset that can improve its usability throughout its life cycle.” Additionally, “The market for metadata management solutions is complex because these solutions are not all identical in scope or capability. Vendors include companies with one or more of the following functional capabilities in their stand-alone metadata management products (not all vendors offer all these capabilities, and not all vendor solutions offer these capabilities in one product): metadata repositories, business glossary, data lineage, impact analysis, rule management, semantic frameworks, and metadata connectors for ingestion and translation.”

The Garter Magic Quadrant for Metadata Management Solutions provides a detailed overview of the market, including evaluations of 17 vendors based on completeness of vision and ability to execute. The report and Magic Quadrant graphic can be downloaded here.

erwin’s metadata management offering, the erwin Data Intelligence Suite (erwin DI), includes data catalog, data literacy and automation capabilities for greater awareness of and access to data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. With erwin DI’s automated, metadata-driven framework, organizations have visibility and control over their disparate data streams – from harvesting to aggregation and integration, including transformation with complete upstream and downstream lineage and all the associated documentation.

“We are honored to be recognized for the second year in a row as a Leader by Gartner in its 2020 Magic Quadrant for Metadata Management Solutions. And we believe that our position enhancements in both vision and ability to execute affirm the power and value of our Data Intelligence Suite,” explained Adam Famularo, erwin’s CEO. “With the radical disruption global organizations have experienced this year, the need for timely and accurate data has never been greater. erwin is excited to help promote data literacy and intelligence, working with our customers to understand their data truth and be more strategic with it.”

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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About erwin, Inc.
As the data governance company, erwin provides enterprise modeling and data intelligence software to help customers discover, understand, govern and socialize their data to mitigate risks and realize results. The erwin EDGE platform facilitates IT and business collaboration in driving actionable insights, agile innovation, risk management and business transformation. We help government agencies, financial institutions, healthcare companies and other enterprises around the world unlock their potential by maximizing the security, quality and value of their data assets.

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Mariann McDonagh
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