Definition: You define what entities ARE across the organization. You become the ontology.
The Mechanism:
This is the deepest form of embedding. The system doesn’t just store data about customers, employees, or products — it defines what “customer,” “employee,” or “product” means.
The data model becomes the organizational mental model.
Example — Snowflake:
Snowflake defines what “a customer” means across data science, finance, operations, and executive reporting through shared data models and semantic layers.
- When finance says “customer,” they mean Snowflake’s definition
- When data science builds a churn model, they use Snowflake’s customer entity
- The word itself carries the system’s assumptions
The Existential Crisis:
Without you, the organization doesn’t know what things ARE CALLED. Switching isn’t migration — it’s philosophical reconstruction.
Switching Cost Profile: Indeterminate. Many organizations at this level effectively cannot switch.
This is part of a comprehensive analysis. Read the full analysis on The Business Engineer.









