Data quality & governance ensures that data is accurate, consistent, and reliable across an organization. High-quality data leads to better analytics, improved operational efficiency, and enhanced customer experiences. Without a robust data quality & governance framework, companies may struggle with data silos, duplication, and inconsistencies that can impact business growth. 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.