Published: 31 May 2022
Current data and analytics governance practices are rigid and insensitive to business context, making them inadequate for responding quickly to opportunities. Chief data and analytics officers should use this roadmap to migrate their current governance operating model to adaptive D&A governance.
Organizations typically use a single-style, command-and-control approach to data and analytics governance. This works for some scenarios but not others, often resulting in resistance to governance initiatives, data silos, higher costs and increased business risk.
Evolution to a better approach for data and analytics governance is difficult because of poor, entrenched governance practices, such as a focus on specific information asset types, IT-led efforts with little connection to business outcomes, and inadequate consideration of trust and risk.
Centralized data and analytics governance strategies often fail, because they do not recognize the existing work and value of data and analytics produced
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