#firstdealofthenewyearastylz# The primary purpose of data governance is to ensure that an organization's data is accurate, complete, and consistent, and that it is used in a way that is consistent with the organization's goals and values. Data governance involves establishing policies, procedures, and standards for the management of an organization's data, including: 1. *Data quality*: Ensuring that data is accurate, complete, and consistent. 2. *Data security*: Protecting data from unauthorized access, use, or disclosure. 3. *Data compliance*: Ensuring that data is handled in compliance with relevant laws, regulations, and industry standards. 4. *Data privacy*: Protecting sensitive information, such as personal data, from unauthorized access or use. 5. *Data integrity*: Ensuring that data is not modified or deleted without proper authorization. The primary purpose of data governance is to: 1. *Ensure data quality*: By establishing standards and procedures for data collection, storage, and use, organizations can ensure that their data is accurate, complete, and consistent. 2. *Reduce risk*: By implementing data governance policies and procedures, organizations can reduce the risk of data breaches, non-compliance, and other data-related risks. 3. *Improve decision-making*: By providing high-quality data, organizations can make better-informed decisions and improve their overall performance. 4. *Increase transparency*: By establishing clear policies and procedures for data management, organizations can increase transparency and accountability. 5. *Support regulatory compliance*: By implementing data governance policies and procedures, organizations can demonstrate compliance with relevant laws, regulations, and industry standards. Overall, the primary purpose of data governance is to ensure that an organization's data is managed in a way that supports its goals and values, while also reducing risk and improving decision-making.