As enterprises capture more and more data of all types—structured, semistructured, and unstructured—data discovery requirements for business intelligence (BI), big data, and predictive analytics initiatives have grown more complex. There’s a widening gap between what BI solutions and analytics engines have access to via traditional, almost exclusively manual approaches to finding the right data and what’s theoretically available from all the data sources across the enterprise. This gap prevents organizations from delivering data self-service to business users, data engineers, and data scientists and maximizing ROI by treating information as a strategic enterprise asset.
Closing the data source discovery gap and accelerating data discovery comprises three steps: profile, identify, and unify. This white paper discusses how the Attivio platform executes those steps, the pain points each one addresses, and the value Attivio provides to advanced analytics and business intelligence initiatives.
Sponsored by Attivio
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