Data and analytics leaders’ endeavors often do not pass through a centralized organization or figure. The reality of decision making in enterprise data and analytics is varied, unstructured, and distributed. Despite this reality, the most common data and analytics governance model is based on the command-and-control approach most associated with compliance and regulation initiatives.
The typical “one-size-fits-all” approach to data and analytics governance cannot deliver the value, scale and speed that digital business demands. Instead, adaptive governance enables data and analytics leaders to flexibly select different governance styles for differing business scenarios.
Read our playbook on How to Design and Implement a Governance, Risk and Compliance Framework for Enterprise Analytics, or download our latest Gartner report, Data Engineering Is Critical to Driving Data and Analytics Success.