A strong data quality & governance strategy includes data validation, real-time monitoring, and enforcement of data policies. It also involves assigning ownership through data stewardship, ensuring accountability across teams. Businesses leveraging AI and automation in data quality & governance can further enhance their ability to manage vast datasets efficiently. With increasing regulations such as GDPR and CCPA, compliance is another critical aspect of data quality & governance. Companies that fail to maintain data integrity risk financial penalties and reputational damage. By implementing structured data governance policies, organizations can align their data assets with business objectives while ensuring compliance with industry standards.