Published: 25 March 2024
Data and analytics governance in enterprises often suffers from diverse stakeholder goals and fragmented D&A programs. To tackle this, chief data and analytics officers must implement comprehensive governance policies regarding quality, security, privacy, retention, ethics, definitions and models.
Diversebusiness outcomes, priorities and stakeholdersmake it difficult to establish complete, consistently aligned, and effective data and analytics (D&A) governance policies. This leads to a fragmented scope of the D&A governance effort.
D&A teams and related stakeholders often choose a suboptimal or fragmented scope because they don’t consider both of the critical dimensions — which D&A artifacts to govern and which types of policies to apply.
Some other organizations develop programs and write policies for every information asset, one policy at a time, only to end up with monolithic programs that have little chance of collaborating.
D&A governance programs generate limited value
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Analysts:
Andrew White, Saul Judah
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