Data governance is the practice of ensuring that business data remains fit for use by establishing the people, processes, policies, and regulations that guide its management. It encompasses key principles such as compliance, privacy, data integrity, and trust, ensuring that both raw data and derived data products—such as reports, dashboards, and AI model outputs—are governed effectively. Data governance ensures that data assets are accurate, complete, and properly managed, while also enabling organizations to meet regulatory requirements and drive trustworthy analytics. In TDWI research, data governance is routinely a top priority for enterprises.