What is the practice of ensuring data accuracy, privacy, and proper usage within an organization?

What is the practice of ensuring data accuracy, privacy, and proper usage within an organization?

• A. Data privacy
• B. Data governance
• C. Data retention
• D. Data anonymization

Answer: (B)

Ensuring data accuracy, privacy, and proper usage within an organization is handled through a data governance framework. Data governance sets up the policies, roles, and processes that determine who owns data, what the data means, how it should be managed, and what rules apply to its quality, privacy, security, and allowed use. It covers establishing data quality standards so information remains accurate, implementing privacy protections and compliance with laws, and defining how data can be accessed and used responsibly across different teams and systems. While data privacy focuses specifically on protecting personal information, and data retention deals with how long data is kept, and data anonymization is a technique for removing identifiers, none of those alone establish the comprehensive management and oversight needed for all aspects of data within an organization. That broader framework is data governance, which is why it’s the best fit.

Ensuring data accuracy, privacy, and proper usage within an organization is handled through a data governance framework. Data governance sets up the policies, roles, and processes that determine who owns data, what the data means, how it should be managed, and what rules apply to its quality, privacy, security, and allowed use. It covers establishing data quality standards so information remains accurate, implementing privacy protections and compliance with laws, and defining how data can be accessed and used responsibly across different teams and systems.

While data privacy focuses specifically on protecting personal information, and data retention deals with how long data is kept, and data anonymization is a technique for removing identifiers, none of those alone establish the comprehensive management and oversight needed for all aspects of data within an organization. That broader framework is data governance, which is why it’s the best fit.