3 Things to Consider When Evaluating a Data Catalog
Anyone with a shred of responsibility for data governance knows that accelerating growth of all forms of information—especially unstructured data from greater and more diverse devices and applications—is wreaking havoc…
Anyone with a shred of responsibility for data governance knows that accelerating growth of all forms of information—especially unstructured data from greater and more diverse devices and applications—is wreaking havoc with enterprises’ ability to derive sufficient value from the data. Big data, business intelligence, data warehouses, and all forms of real-time analytics are heavily dependent upon solid data governance frameworks to harness the growing volume and variety of information being created, stored, and managed.
Governance policies, platforms, and tools have helped to give data stewards and “data citizens” more confidence in the accuracy, comprehensiveness, and timeliness of the data. However, a major roadblock still thwarts many organizations in their efforts to empower business stakeholders to use data for tangible benefit: finding the data and understanding what it means.
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