Data governance is critical for successful data and AI strategies, often misunderstood as bureaucratic. It's about accountability, data quality, and usage rules rather than a compliance tool. With AI amplifying data risks, boards now view governance as essential risk management. A three-phase governance plan: establish ownership, define standards, and operationalize governance within 90 days, helps organizations make data actionable. Effective data governance enhances decision-making, accelerates AI initiatives, and builds trust, moving beyond mere policy to tangible business outcomes.
