What approach reduces complexity and maintenance overhead when assigning data ownership?

Assigning data ownership by role is the most effective way to reduce complexity and maintenanceoverhead. Here's why:

Clear Responsibility: Roles are associated with specific responsibilities and functions within an organization. Assigning data ownership to a role ensures that someone is clearly accountable for the quality and accuracy of that data.

Reduced Overhead: When people change positions or leave the organization, the data ownership remains with the role, not the individual. This reduces the need to constantly update ownership assignments.

Consistency: Role-based ownership promotes consistency in data management practices and ensures that data is handled according to defined standards.

Why not the other options?

A. Assigning data ownership by location: This can create confusion and inconsistencies, especially in organizations with multiple locations or remote teams.

C. Assigning data ownership by attribute: This can be overly granular and difficult to manage, especially for large datasets.

D. Assigning data ownership by entity: This can lead to unclear ownership and potential conflicts if multiple entities are involved with the same data.