Data assurance is the process of validating that data is accurate, complete, governed, and appropriate for use in applications, analytics, or AI systems. It includes evaluating provenance, quality, consistency, and usage permissions.
Why it matters: AI and decision systems are only as reliable as the data they rely on, and assured data reduces the likelihood of incorrect, biased, or non-compliant outcomes.
