ML-augmented data catalogs: A must-have today

Plenty of organizations are wisely using data catalogs to identify, access and analyze data assets across the enterprise. But are they maximizing the value of their data catalog solution? Gartner’s research shows that implementing a data catalog without linking it to the company’s metadata management strategy risks limiting its overall value. According to Gartner, “Data catalogs must offer other capabilities that should fit into an organization’s overall metadata management strategy, in order to create a business-oriented, shareable and reusable metadata repository in which common definitions of data assets are stored.”

In this report, Gartner makes the case for why organizations need an ML-augmented data catalog solution that can enable them to:

  • Avoid data sprawl caused by metadata silos
  • Manage and monetize data assets
  • Comply with current and future privacy and security regulations
  • Buttress strategic data and analytics initiatives

Read the report to learn why ML-augmented data catalogs are a must-have for modern data and analytics leaders.

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Gartner, Augmented Data Catalogs: Now an Enterprise Must-Have for Data and Analytics Leaders, 12 September 2019, Guido De Simoni, Ehtisham Zaidi

ML-augmented data catalogs: A must-have today