Semantic Layer
The Semantic Layer gives ETL columns business meaning for AI and analytics: dimensions, measures, synonyms, default date fields, time grains, AI policy and merge context.
What this feature delivers
Data Studio semantic product actions read and write ETL-level metadata. Chart Wizard, Dashboard Wizard, AI Insight and DSL assistance can interpret columns as business roles instead of only technical names.
Dimension and measure model
Fields can be marked as dimensions or measures to guide chart family, aggregation and axis choices.
Synonyms and time fields
Business terms and default date fields improve natural-language matching and trend analysis.
AI policy and merge context
AI masking rules and merge metadata travel with the dataset.
Use case
These steps show the need this feature solves for a real team and how it moves analysis closer to action.
Classify fields
Set measure, dimension and date roles.
Add business terms
Attach synonyms and descriptions.
Use in analysis
AI and dashboard flows reference the semantic model.
Governed and traceable flow
The semantic layer reduces guesswork by giving AI and chart logic governed metadata about fields.
Which teams is this feature for?
Business users get faster answers, analysts keep quality and control, and admins manage data and access rules.
Does it work with other LivChart features?
Yes. The feature pages explain how preparation, AI, dashboards, reporting and sharing work together rather than as isolated modules.
Try LivChart with your own data
Connect Excel, CSV or database data and test AI charts, dashboards and reports with a local-first architecture.