Semantic Layer Implementation Services
Packages & Pricing.

Semantic layer implementation so every dashboard agrees on revenue

Semantic layer implementation defines your key metrics once, in code, so Revenue and Active User mean the same thing in every dashboard, spreadsheet and AI query. Omeiro engineers the layer in Cube.js or the dbt Semantic Layer and connects your BI tools to it.

Arguments about whose number is right give way to one governed definition.

Semantic layer implementation: one definition per metric

A semantic layer implementation starts with a metrics glossary. Gather the numbers executives argue about, such as revenue, active users and churn, and write the single definition each should have. Share your warehouse, your dbt project if one exists and the BI tools in use. Disagreements found at this stage are the point of the project, so involve finance and product owners in the sign-off.

A common mistake is encoding metrics inside each dashboard, so three tools show three answers. A semantic layer implementation here puts metric logic in one place, in dbt or Cube, with entities, dimensions and access rules, and connects BI tools to it. Documentation lists each metric, its definition and its owner. On the top tier the same layer serves AI query tools, so natural-language questions use approved definitions.