Published: 22 August 2022
Data and analytics governance can either help or hinder achievement of business outcomes. To partner with the business effectively, data and analytics leaders must review the major trends, understand their implications, and respond accordingly to the opportunities, challenges and risks presented.
A single command-and-control approach to data and analytics governance is often too cumbersome for digital business scenarios, resulting in resistance to governance initiatives. Adaptive governance allows data and analytics leaders to select the right governance style for a given business context.
Many data and analytics governance programs fail due to poor connection with specific business outcomes and inadequate consideration of trust and risk. Data and analytics leaders can address this challenge by rescoping governance to target tangible business outcomes, building a trust-based decision rights model, and creating a risk-aware culture.
Poor collaboration between central and business functions results
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