What is Data governance is essential for making sure an organization’s data stays accurate, secure, and well-managed at every stage. It offers a structured set of policies, processes, and standards that guide how data is collected, stored, accessed, and used. This system helps organizations stay consistent, build trust in their data, and meet regulatory and operational requirements. The primary role of data governance is to provide a clear framework that outlines how data should be handled throughout its lifecycle. It defines responsibilities, establishes standards, and ensures that all teams follow the same rules when working with data. This helps reduce confusion, prevent errors, and build trust in the quality of the data being used. Understanding what does data governance do means recognizing its importance in defining who is responsible for managing data. It clearly assigns roles to people or teams to maintain data quality, control access, and follow organizational standards. This clarity helps ensure that the data stays accurate, trustworthy, and useful for business operations. What are Data governance policies are the formal guidelines that support this framework. These policies help regulate who can access certain types of data, how sensitive information is protected, and how data must be documented and stored. They also promote ethical data use and protect organizations from risks related to poor data handling. What is a data governance model is the structured system that brings these policies and practices to life. It includes the roles, responsibilities, tools, and workflows needed to implement governance across the organization.In summary,