What term describes a comprehensive approach to managing an organization’s data assets?

What term describes a comprehensive approach to managing an organization’s data assets?

• A. Data lifecycle management
• B. Data strategy alignment
• C. Data governance
• D. Data security framework

Answer: (C)

The term that describes a comprehensive approach to managing an organization’s data assets is data governance. This framework encompasses the overall management of data availability, usability, integrity, and security. Data governance is essential for establishing policies, standards, and practices that ensure data is managed effectively across the organization. It involves defining roles and responsibilities, monitoring data management processes, and ensuring compliance with regulations. By implementing robust data governance, organizations can ensure that their data assets are accurate, consistent, and protected, which ultimately supports better decision-making and aligns data management initiatives with business goals. The emphasis on a comprehensive approach highlights how data governance integrates multiple disciplines, including data quality management, risk management, and regulatory compliance, to create a holistic framework for managing data. While the other options focus on specific aspects of data management—such as lifecycle management (which pertains to the stages data goes through from creation to deletion), strategy alignment (focusing on leveraging data to meet organizational goals), and security frameworks (which deal specifically with protecting data from unauthorized access and breaches)—they do not encompass the full breadth of managing all aspects and considerations related to data assets like data governance does.

The term that describes a comprehensive approach to managing an organization’s data assets is data governance. This framework encompasses the overall management of data availability, usability, integrity, and security. Data governance is essential for establishing policies, standards, and practices that ensure data is managed effectively across the organization. It involves defining roles and responsibilities, monitoring data management processes, and ensuring compliance with regulations.

By implementing robust data governance, organizations can ensure that their data assets are accurate, consistent, and protected, which ultimately supports better decision-making and aligns data management initiatives with business goals. The emphasis on a comprehensive approach highlights how data governance integrates multiple disciplines, including data quality management, risk management, and regulatory compliance, to create a holistic framework for managing data.

While the other options focus on specific aspects of data management—such as lifecycle management (which pertains to the stages data goes through from creation to deletion), strategy alignment (focusing on leveraging data to meet organizational goals), and security frameworks (which deal specifically with protecting data from unauthorized access and breaches)—they do not encompass the full breadth of managing all aspects and considerations related to data assets like data governance does.