The core principle asserts that within Business Intelligence and analytics architectures, the semantic model constitutes the primary analytical product rather than report visuals or page layouts. Formalized by concepts such as reusable business logic, field parameters, metric views, and AI-readiness, this theory posits that domain-specific meaning resides in the data schema where it supports dynamic interactions and natural language processing. This shift redefines the relationship between presentation layers and backend systems within computer science, establishing the semantic layer as a decoupled, governable entity upon which multiple user experiences are constructed.
The core principle asserts that within Business Intelligence and analytics architectures, the semantic model constitutes the primary analytical product rather than report visuals or page layouts. For…