Many organisations today want to understand what is data governance and why it is essential for business growth. Data governance provides a structured way to manage, protect, and standardise information. It sets clear rules for how data is collected, stored, accessed, and used so teams can rely on accurate insights. To answer the broader question of what is a data governance model, think of it as the framework that supports this structure. It defines roles, responsibilities, workflows, and decision paths that keep data consistent and secure across the organisation. For instance, a company may appoint data owners to approve changes, data stewards to maintain quality, and compliance teams to oversee risk. This organised setup ensures that every dataset remains trustworthy. A simple example helps explain what is data governance with example in practice. Imagine a retail brand capturing customer data from stores and online platforms. Without governance, information may be duplicated or incomplete, leading to poor reporting. With a well-defined model, validation rules and access controls keep data accurate, complete, and safe. To understand what data governance do, it improves data quality, strengthens compliance, reduces operational risk, and supports better decision-making. Organisations typically choose from three types of models: a centralised structure for uniform control, a decentralised structure for departmental flexibility, or a hybrid model that balances both.