erwin Data Catalog Named a 2020 Trend-Setting Product by Database Trends and Applications

erwin Data Catalog, our enterprise metadata management solution, has been recognized by Database Trends and Applications as a Trend-Setting Product for 2020.

MELVILLE, N.Y., Dec. 5, 2019 – erwin, the data governance company, today announced that erwin Data Catalog (erwin DC) has been recognized by Database Trends and Applications (DBTA) magazine as a DBTA Trend-Setting Product for 2020. The list recognizes products in the marketplace that are both innovative and effective in helping customers address evolving data challenges and opportunities.

erwin DC automates enterprise metadata management, including data mapping, code generation, data quality, data lineage and impact analysis. It integrates and activates data in a single, unified catalog in accordance with business requirements by:

  • Scheduling ongoing scans of metadata from the widest array of data sources.
  • Keeping metadata current with full versioning and change management.
  • Easily mapping data elements from source to target, including data at rest and in motion, and harmonizing data integration across platforms.

“Metadata management has been complicated and time-consuming for most organizations, preventing them from realizing their true digital potential,” explains Mariann McDonagh, CMO of erwin. “erwin DC automates the manual and error-prone processes of metadata management past so data assets can be discovered and ingested into a central data catalog.”

erwin DC is part of the erwin Data Intelligence Suite (erwin DI) for automatically harvesting, transforming and feeding metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog for access and understanding within the context of role-based views. The solution was evaluated as part of the Gartner 2019 Magic Quadrant for Metadata Management that recognized erwin as a leader in the practice.

“An accurate view of the metadata landscape reduces friction in data access and use, improves overall quality, and accelerates digital transformation because more individuals become adept at data analysis,” McDonagh adds. “Data isn’t just for data professionals and developers anymore. In the data-driven enterprise, it’s everyone’s business to uncover meaningful insights and use them to improve operational performance – from regulatory compliance to revenue generation.”