What are the layers involved in data governance?

What are the layers involved in data governance?

• A. Local, regional, global
• B. Local, divisional, enterprise-wide
• C. Functional, operational, enterprise-wide
• D. Strategic, tactical, operational

Answer: (B)

The answer identifies the correct layers involved in data governance by suggesting a structure that reflects varying scopes and responsibilities within an organization. Local, divisional, and enterprise-wide layers illustrate how data governance operates at different levels of an organization, which is critical for effective management of data. The local layer typically encompasses specific teams or departments that manage data relevant to their particular functions or geographic areas. This ensures that local needs and compliance requirements are met. The divisional layer refers to the governance practices applied at a division or business unit level, which might involve multiple local layers. It facilitates the alignment of local governance practices with the overall strategy while still being sensitive to the unique data needs of different divisions. Finally, the enterprise-wide layer represents governance practices that are applicable across the entire organization. This layer ensures a cohesive strategy and consistency in data handling, thereby aligning all divisions and local efforts with the organization's overall goals and regulations. This structured approach demonstrates how data governance can effectively manage the complexities of data management across all levels of an organization, ensuring that policies, responsibilities, and processes are tailored appropriately to various layers. This emphasis on different levels of governance highlights the importance of a comprehensive strategy that encompasses various aspects of the organization’s operations.

The answer identifies the correct layers involved in data governance by suggesting a structure that reflects varying scopes and responsibilities within an organization. Local, divisional, and enterprise-wide layers illustrate how data governance operates at different levels of an organization, which is critical for effective management of data.

The local layer typically encompasses specific teams or departments that manage data relevant to their particular functions or geographic areas. This ensures that local needs and compliance requirements are met.

The divisional layer refers to the governance practices applied at a division or business unit level, which might involve multiple local layers. It facilitates the alignment of local governance practices with the overall strategy while still being sensitive to the unique data needs of different divisions.

Finally, the enterprise-wide layer represents governance practices that are applicable across the entire organization. This layer ensures a cohesive strategy and consistency in data handling, thereby aligning all divisions and local efforts with the organization's overall goals and regulations.

This structured approach demonstrates how data governance can effectively manage the complexities of data management across all levels of an organization, ensuring that policies, responsibilities, and processes are tailored appropriately to various layers. This emphasis on different levels of governance highlights the importance of a comprehensive strategy that encompasses various aspects of the organization’s operations.