Trends Report

The Transformation Of Data Governance

Changing The Business Data Landscape Requires New Governance Thinking

July 18th, 2013
Henry Peyret, null
Henry Peyret
With contributors:
Leslie Owens , Alex Cullen , Emily Jedinak


Today's data governance is mainly about accuracy, compliance, security, and privacy. In this context, organizations run through a well-established repertoire of governance activities with a heavy emphasis on policies, rules, and stewards. But the growth of self-service business intelligence (BI) and demand for new operational BI features has started a shift toward data governance activities that don't take place only at a committee level but tend to accompany data usage in operations. Forrester predicts this shift will accelerate and expand under the pressure of new tech trends like cloud, big data, and predictive analytics, as well as ambitious business goals defined within the "data economy" and extended enterprise issues like open data and linked data. Given these drivers and trends, data governance faces new challenges that the usual data governance objectives and activities don't address. What's needed? A new data governance (2.0) that's more agile and operational depending on business models, with new objectives and activities to meet business concerns.

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