Adaptive Data and Analytics Governance to Achieve Digital Business Success

Traditional data governance focuses on compliance, control and constraints. But data intelligent organizations know that data governance doesn’t need to impede business success. Recent research from Gartner asserts that enterprises should adopt adaptive governance for data and analytics, which focuses on using data governance as a business enabler that encourages innovation across the enterprise.

“To implement adaptive governance as a key component of their data and analytics strategies, executive leaders must:

  • Evaluate their current decision rights model for data and analytics. Identify scenarios where this model works, where it fails and how people behave as a result.
  • Adopt adaptive governance for data and analytics as part of your target-state operating model. Engage key stakeholders and run workshops with them to identify the right decision framework, and how adaptive governance would work in different business scenarios.
  • Select the right target-state adaptive governance style — control, outcomes, agility and autonomous — based on business context, scenario complexity and data and analytics maturity.”

Read this report to learn how approaches to data governance have changed over the last few years and why Gartner recommends organizations use data governance as a strategic business driver.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.

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