Data Governance

Definition of Data Governance

Data Governance: The process of governing data involves implementing structure, controls, and processes around the management of data. Data governance aims to ensure that data is consistently accurate, complete, and accessible across the enterprise. It also helps identify and protect sensitive information while maximizing its value.

What is Data Governance used for?

Data governance is a set of strategies, policies, processes and tools used to manage the availability, usability, integrity and security of data. It ensures that all users in an organization have access to the most up-to-date and accurate information necessary to make decisions. This can involve having control over how data is collected and stored by different departments, how it is maintained and who has access to it. Data governance also provides a structured approach for monitoring activities like data quality management and ensuring compliance with relevant regulations. By creating rules and standards that govern how data is used within an organization, data governance helps ensure that the right people are using the right data at the right time while still meeting privacy requirements. As well as enhancing security, this improves the accuracy of data analysis results. This leads to more informed decisions being made within organizations which help them become more efficient and competitive. In addition, data governance can help prevent costly errors from entering into decision making processes due to incorrect or out-of-date information being used.