Gartner recently published Augmented Data Catalogs: An Enterprise Must-Have for Data and Analytics Leaders in which they state:
"Demand for data catalogs is soaring as organizations continue to struggle with finding, inventorying and analyzing vastly distributed and diverse data assets. Data and analytics leaders must investigate and adopt ML-augmented data catalogs as part of their overall data management solutions strategy."
"Gartner estimates that by 2022, over 80% of data lake projects will fail to deliver value as finding, inventorying and curating data will prove to be the biggest inhibitor to analytics and data science success."
We believe this report examines the implications for data and analytic leaders and the steps they should take to exploit data catalogs effectively by linking them to broader enterprise information management needs.
At Unifi, we agree with the need for a comprehensive strategy for an enterprise data catalog initiative that includes broad metadata management, improves data usability, trust and shareability, and which helps to ensure regulatory and compliance requirements - to monetize data assets in the near and long term for any business.