How to Evaluate a Data Catalog
Despite big investments in big data and AI, enterprises struggle to create data culture. To overcome these challenges, more and more enterprises are turning to data catalogs for data search & discovery, collaboration and analysis, and curation and data governance. Gartner has called data catalogs a “must-have" for data and analytics leaders.* But not all data catalogs are created equal.
This guide will examine the five aspects needed for a successful data catalog initiative: intelligence, collaboration, guided navigation, active data governance, and broad, deep connectivity. And, explain why the data catalog is emerging as the best platform for data intelligence.
Download the guide to learn how to examine a data catalog and drive data culture.
*Augmented Data Catalogs: Now an Enterprise Must-Have for Data and Analytics Leaders by Ehtisham Zaidi and Guido De Simoni, 12 September 2019
The Data Catalog Company
The Data Catalog Company
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How to Evaluate a Data Catalog
EVALUATION GUIDE
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The Five Aspects to Look for in a Successful Data Catalog Initiative
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- Consistency
- Transparency
- Collaboration
- Emerging business intelligence trends
- The top three data catalog feature priorities for 2020
- The correlation between finding analytic content and BI success
- The correlation between finding analytic content and BI success
EVALUATION GUIDE