The Data Governance Framework is a set of processes, policies, standards, and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals. It encompasses the roles, responsibilities, and controls to ensure data accuracy, privacy, and access. This framework helps organizations in consistent data handling, enhances decision-making, and ensures compliance with regulations and standards.
Define data governance goals aligned with business objectives. | Establish data governance structure including roles and responsibilities. | Develop and implement data policies and standards. | Monitor and enforce compliance with data governance policies. | Continuously improve data governance practices based on feedback and changing needs.
Engage stakeholders from all levels of the organization. | Regularly review and update data governance policies. | Invest in training and awareness programs for all employees.
Improves data quality and consistency across the organization. | Enhances compliance with legal and regulatory requirements. | Facilitates better decision-making by providing accurate and timely data.
Can be resource-intensive to implement and maintain. | May encounter resistance from staff due to changes in processes. | Risk of becoming overly bureaucratic, slowing down data-related processes.
When managing large volumes of data across various departments. | When compliance with data protection regulations is required.
In very small organizations where data handling is minimal. | When rapid, ad-hoc decision making is more valued than data accuracy.