The Forrester Wave™: Machine Learning Data Catalogs

The four V’s of big data (i.e., volume, variety, velocity, and veracity) may be a cliché. But firms are still struggling under the weight of their data: 36% to 38% of global data and analytics decision makers reported that their structured, semistructured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. Enterprises are waking up to this fact and turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.