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02ENTERPRISE AI DATA INFRASTRUCTURE
Enterprise AI Data Infrastructure · 02
Enterprise Business Semantic Layer Guide
Help AI understand your own business language
A business semantic layer is not just a data dictionary upgrade. It organizes metric definitions, field meanings, business rules, permissions, and expert knowledge into reusable AI context.
Five questions this topic answers
01
Why is connecting a database not enough for AI Q&A?
02
How does a semantic layer differ from a data dictionary and metrics system?
03
What table notes, field notes, and metric definitions should AI know?
04
How do documents, preferences, and value indexes explain business jargon?
05
How does the semantic layer lead to AI data agents?
03TOPIC
What the semantic layer covers
Data structure semantics
Table notes, field notes, and analytical meaning.
Metric semantics
Definitions, formulas, filters, time rules, and owners.
Value semantics
Enums, status values, aliases, jargon, and value indexes.
Permission context
Who can see which data, scope, fields, and masking rules.
04TOPIC
Published topic articles
SEMANTIC LAYER
Let AI understand business before asking data
Start from one high-frequency scenario and validate semantics, permissions, and governed Q&A before expanding.
Discuss semantic layer