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John Smith
Data Scientist, USA
Cloud-Ready Data
Digital Transformation
Data Governance

Analyst report

Gartner® The State of Data and Analytics Governance: IT Leaders Report Mission Accomplished; Business Leaders Disagree

In this report:

  • Gartner discusses the disconnect between IT led, and business led data governance initiatives and how to assess performance. The disconnect often results in higher costs, slower time to market and increased business risk.

  • The importance of analyzing how your data and analytics governance currently impacts your business in order to determine the barriers, and develop a plan to address challenges.

  • Gartner provides recommendations on how to create a remediation plan to ensure governance success.

*Gartner, The State of Data and Analytics Governance: IT Leaders Report Mission Accomplished; Business Leaders Disagree, Saul Judah, Andrew White, Stuart Strome, Anna Toncheva, 6 December 2021

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.


Data and analytics leaders are optimistic about building effective data governance programs, yet many governance initiatives are failing to achieve their objectives.

In the 2021 Gartner® report on State of Data and Analytics Governance report, Gartner overviews their research on the obstacles businesses face when implementing governance programs and provides recommendations for leaders to consider in reaching their data and analytics governance objectives.


Have IT leaders cracked the code for data and analytics governance? Gartner’s 2021 Data and Analytics Governance Survey findings certainly suggest a consistently high level of optimism in IT-led data and analytics governance, compared with those that are business-led.1 However, regardless of how optimistic or pessimistic data and analytics leaders are about their governance initiatives, most fall well short of achieving their objectives.

Organizations that are successful in data and analytics governance have a data-driven culture. They actively engage and influence their stakeholders, promote data sharing, break down silos and evangelize data literacy. Gartner’s Sixth Annual CDO Survey2 found that CDOs with business-facing KPIs and multiple business partners are 1.7 times more likely to be effective at consistently producing clear business value by successfully demonstrating ROI from their D&A investments. Furthermore, their effectiveness is linked to communication and engagement, with 93% of CDOs reporting that effective communication is critical to success.

For data and analytics leaders to meet their governance objectives, they first must understand which of their current practices are holding them back and build a clear plan to address them. Next, they must start to behave like successful CDOs by aligning their governance objectives with tangible business outcomes through business-facing KPIs. Finally, they must build balanced and highly collaborative governance teams, containing both business and technical roles, focused on achieving and communicating agreed business outcomes.