Define enterprise data models
How define enterprise data models are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Define enterprise data models is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: Without seeded child occupations, this score relies heavily on the PCF top-level category lens 'Manage information'. The process name and description—defining ways of representation, usage, and identification of data to create enterprise data models—describe pure knowledge work. Data architecture is performed entirely via software and abstract reasoning, placing it squarely in the high digital band.
grounded in the economy graph · digital scalar 0.90 · digital
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How the work flows
Trigger: A new business initiative, system integration, or governance mandate requires a unified structure for organizing and understanding enterprise data.
- Identify core business entities and data domains across the organization
- Inventory and analyze existing data structures and source systems
- Draft conceptual data models to map high-level entity relationships
- Develop detailed logical data models specifying attributes, keys, and naming conventions
- Validate the proposed models against business requirements and governance standards
- Publish the approved data models to a centralized enterprise architecture repository
Outcome: An approved, standardized set of enterprise data models is published and integrated into the organization's architecture repositories.