Data governance is the process of managing and protecting an organization’s data assets, including policies, procedures, and standards for data management, storage, and access. It is a critical component of an organization’s data management strategy, helping to ensure that data is accurate, complete, and consistent, while also protecting sensitive information from unauthorized access or breaches.
Data governance includes a range of activities, such as data quality management, data security, data privacy, and data retention. It also includes the management of data lineage, which refers to the lifecycle of data, including its origin, movement, and usage.
The main goal of data governance is to ensure that an organization’s data is reliable, accurate, and secure. This is accomplished by implementing policies and procedures that provide oversight and control over data, including data quality, data security, and data privacy.
A key aspect of data governance is the development of roles and responsibilities for data management and oversight. This includes the creation of a data governance council, which is responsible for setting data governance policies and procedures, as well as ensuring compliance with laws and regulations.
Data governance is becoming increasingly important as organizations generate and collect more data than ever before. This data can help organizations to make better decisions, improve their operations, and gain a competitive advantage. However, without proper data governance, the data can become a liability, putting the organization at risk of data breaches, legal action, and reputational damage.
In summary, Data Governance is the process of managing and protecting an organization’s data assets, including policies, procedures, and standards for data management, storage, and access. It ensures that data is accurate, complete, and consistent, while also protecting sensitive information from unauthorized access or breaches. It includes data quality management, data security, data privacy, and data retention, and the development of roles and responsibilities for data management and oversight. It is becoming an essential component of any organization’s data management strategy.
