By 2027, 60% of organizations that fail to address the cultural challenges of data and analytics governance will also fail to govern AI successfully, according to Gartner. Culture in this context includes the mindsets, behaviors and organizational norms that determine whether governance policies are actually adopted and sustained. A March 2026 survey of 223 data and analytics leaders found that cultural resistance outweighs funding constraints as the primary reason governance initiatives fail, cited by 60% versus 40%. Common barriers include low data-driven maturity, poor stakeholder understanding of governance value and weak business engagement. The firm recommends aligning governance to business outcomes, rebranding it as a shared business responsibility rather than an IT task, and embedding data literacy, AI literacy and change management into everyday workflows.
By 2027, 60% of organizations that fail to address the cultural challenges of data and analytics governance will also fail to govern AI successfully, according to Gartner. Culture in this context includes the mindsets, behaviors and organizational norms that determine whether governance policies are actually adopted and sustained. A March 2026 survey of 223 data and analytics leaders found that cultural resistance outweighs funding constraints as the primary reason governance initiatives fail, cited by 60% versus 40%. Common barriers include low data-driven maturity, poor stakeholder understanding of governance value and weak business engagement. The firm recommends aligning governance to business outcomes, rebranding it as a shared business responsibility rather than an IT task, and embedding data literacy, AI literacy and change management into everyday workflows.