Analytics engineering with dbt™
Your numbers, defined once in dbt
dbt turns raw data into tested, documented models written in SQL and kept in version control. We build dbt projects on Snowflake, MotherDuck or the data platform you already have, so every dashboard and AI answer uses the same definitions.
What we do
A project you can keep up
A new dbt project with clear structure, naming and docs your team can follow after we hand it over.
Tests on every run
Checks for missing, duplicate and out-of-range values, so bad data stops before it reaches a report.
Metrics agreed once
Revenue, margin and active customer defined in one place and reviewed with finance. KPI & Semantic Layer
Cleanup of a project you have
Slow or tangled models sorted out, with tests added where they were missing.
Where do we start?
Already have dbt? We start by reviewing the project and fixing what slows it down. No warehouse yet? We help you choose between Snowflake and MotherDuck in the Business & Data Assessment.
Common questions
What is dbt?
A tool for turning raw data into clean, tested tables with SQL. Models live in version control, so every change is reviewed and every report uses the same logic.
Do we need to pay for dbt?
Not necessarily. dbt Core is open source and free to run yourself. dbt Labs also sells a hosted platform with scheduling and a browser editor. We recommend one based on your team.
Can you fix our existing dbt project?
Yes. We review it first, then fix slow or tangled models and add tests where they’re missing.
Which warehouses does dbt work with?
Most major ones, including Snowflake, MotherDuck, BigQuery, Databricks and Postgres.
Want numbers everyone agrees on?
Book a call and we’ll look at your models and metrics.