Your peers with formal data governance are 21 points more likely to trust their data.
Where do you stand?
New findings from 500+ global data and analytics leaders show what separates AI-ready CDOs from those still closing the gap.
Free report. See how your governance program compares.
THE CHALLENGEAI accountability runs through governance.
Most organizations have made the infrastructure investment. But for CDOs, the pressure isn’t just to adopt AI — it’s to make AI outputs defensible to regulators, auditors, and the board. That accountability runs through data governance. And the gap between organizations that have it and those that don’t is showing up directly in AI outcomes.
What the data shows
72% vs 0
data trust among organizations with both a governance program and a formal data strategy — versus those with neither.
KEY INSIGHT The data makes a strong case for extension over separation.
40% of organizations are expanding existing governance programs to cover AI — versus just 23% launching separate AI governance initiatives.
Leading CDOs aren’t building from scratch. They’re leveraging established governance foundations — data quality, lineage, access controls — and extending them to address AI-specific risks like bias, explainability, and regulatory exposure.
WHAT’S IN THE REPORTSee where 500+ of your peers stand on governance and AI readiness.
- Governance maturity benchmarks across 500+ global organizations
- Trust data: how governance programs affect confidence in data and AI outputs
- Extend vs. separate: what the research says about building AI governance on existing foundations
- The Innovators breakdown — what the top tier is doing differently
- 2026 data integrity priority rankings from data and analytics leaders worldwide
