Immuta: How to Design and Implement a Governance, Risk, and Compliance Framework for Enterprise Data Analytics

The data privacy and protection risks posed by enterprise data analytic projects can be wide ranging. Technology plays a central role both in giving rise to and in managing those risks, but is only part of the picture. Many of the most significant risk issues inherent in enterprise data analytic projects result from the familiar challenges of organizational design and culture, governance, resourcing, and, critically, the context within which an enterprise operates.

This document has been written to address those challenges; it describes the organizational factors which must be considered in designing and implementing data policies and access control (AC) for analytic initiatives within an enterprise.