What is data governance can be understood as a structured approach that helps organizations manage their data with accuracy, security, and accountability. It is the practice of setting standards and responsibilities to ensure data remains reliable and useful for decision-making. By having a clear framework in place, businesses can create trust in their data and avoid mistakes that come from inconsistent or incomplete information. To understand what does data governance do, it helps to look at how it functions in daily operations. It sets clear rules for collecting, storing, accessing, and sharing data. This ensures that the right individuals can reach the right information when they need it. By doing so, data governance reduces errors, prevents misuse, and supports organizations in meeting legal and regulatory requirements. What are data governance policies can be understood as the rules that guide how data is managed within an organization. They define who is allowed to access or update information, how long data should be kept, and the security measures that must be in place. Clear and consistent policies help maintain uniform practices across the organization and are essential for protecting sensitive information. An essential part of governance is understanding what is a data governance model. A model is the structure that outlines roles, responsibilities, and processes for managing data. It could be centralized, where one team controls everything, or distributed, where different departments share responsibility. Whatever the structure, the model ensures that governance is implemented in a way that fits the organization’s needs. In conclusion, what is data governance is not just a definition but a practical system that enhances decision-making, safeguards data quality, and provides a solid base for sustainable business growth.