Consistent metrics for business results.
Learn the different ways you can make impact automatic with the dbt Semantic Layer, or get more specifics in our blog post on use cases.
Write it once, use it anywhere, and trust the results with dbt Semantic Layer
Centralize your metric logic alongside your data models and deliver governed, consistent insights to any BI tool, API, or large language model (LLM).
For business stakeholders
Never second-guess KPI dashboards. Enable self-serve via AI chatbots and no-code interfaces
For data scientists
Train your ML models and conduct exploratory analytics using governed metrics
For customers
Embed personalized and meaningful metrics across user experiences
Report the right numbers to the board, every time. Build your KPI scorecards from centrally-defined metrics and trust that the data is accurate. Easily explore contextual data like lineage, definitions, and joins so you can always be 100% confident in the metrics you share. Read more on how we used dbt Semantic Layer to meet users where they are, with trusted data.
When you put everything on dbt, you ensure everyone is seeing the same number. You don’t get that message saying, ‘oh, my director got this GMV number and I’m getting this different one.
Gabriel Marinho Analytics Engineer @Inventa
The dbt Semantic Layer gives our data teams a scalable way to provide accurate, governed data that can be accessed in a variety of ways—an API call, a low-code query builder in a spreadsheet, or automatically embedded in a personalized in-app experience.
Hans Nelsen Chief Data Officer @Brightside
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Dig deeper into the dbt Semantic Layer
Five use cases for the dbt Semantic Layer
From AI to BI to embedded apps, learn how to deliver trusted data to any endpoint.
Join the dbt Semantic Layer workshop
Join us for a two-hour course designed to give you a clear understanding of the dbt Semantic Layer.
Got a question? We’ve got answers.
Dive deep into the dbt Semantic Layer FAQs and get your questions answered right away.
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