Which of the following principles emphasizes shared responsibility in data governance?

Which of the following principles emphasizes shared responsibility in data governance?

• A. Multi-layered approach
• B. Business-driven focus
• C. Principle-based framework
• D. Leadership involvement

Answer: (A)

The principle that emphasizes shared responsibility in data governance is best understood within the context of a multi-layered approach. This principle acknowledges that data governance is not solely the responsibility of a single entity or department but rather requires collaboration among various stakeholders across the organization. A multi-layered approach involves integrating governance structures at different levels—strategic, tactical, and operational—which fosters a culture of shared responsibility. By engaging multiple teams, from data owners to data stewards and beyond, this approach ensures that everyone plays a part in maintaining data quality, compliance, and security. This collective effort is vital for effective data management because it harnesses the expertise and insights of different areas, leading to more robust governance practices. In contrast, options that focus on business-driven focus, principle-based frameworks, or leadership involvement address related aspects of governance, such as aligning data initiatives with business objectives or establishing guiding principles for data management. However, they do not inherently emphasize the collaborative nature of responsibility across the organization in the same way that the multi-layered approach does. The shared ownership and cross-functional collaboration characteristic of a multi-layered approach is what sets it apart as the principle underscoring shared responsibility in data governance.

The principle that emphasizes shared responsibility in data governance is best understood within the context of a multi-layered approach. This principle acknowledges that data governance is not solely the responsibility of a single entity or department but rather requires collaboration among various stakeholders across the organization.

A multi-layered approach involves integrating governance structures at different levels—strategic, tactical, and operational—which fosters a culture of shared responsibility. By engaging multiple teams, from data owners to data stewards and beyond, this approach ensures that everyone plays a part in maintaining data quality, compliance, and security. This collective effort is vital for effective data management because it harnesses the expertise and insights of different areas, leading to more robust governance practices.

In contrast, options that focus on business-driven focus, principle-based frameworks, or leadership involvement address related aspects of governance, such as aligning data initiatives with business objectives or establishing guiding principles for data management. However, they do not inherently emphasize the collaborative nature of responsibility across the organization in the same way that the multi-layered approach does. The shared ownership and cross-functional collaboration characteristic of a multi-layered approach is what sets it apart as the principle underscoring shared responsibility in data governance.