One answer per question
Revenue, churn, and active customers mean the same thing in finance's spreadsheet, the sales dashboard, and the board deck.
Data modeling & intelligence
“We have four definitions of an active customer.”
Loaded data isn't usable data yet. I turn raw tables into tested models with one agreed meaning for each metric, then serve those metrics to every dashboard, spreadsheet, and AI tool you use.
Book a free consultationWhat it's worth to your business
AI answers that match your reports
AI tools that read from a semantic layer use your definitions instead of guessing which column looks closest.
New reports start half-built
Analysts build on tested, documented models instead of rewriting the same logic for every request.
Signs you need this
- You want AI answering questions, but nobody believes what it says
- Teams bring different totals for the same metric to the same meeting
- The same SQL is copied across dashboards, views, and scripts
- Every new report request starts from scratch
What's included
Metric definitions
Your core business metrics agreed with the people who use them, written down, and built once in code.
dbt models
Raw data cleaned, joined, and organized into layers that are easy to follow and extend.
Semantic layer
Metrics served through the dbt Semantic Layer, or your BI tool's equivalent, so Power BI, Tableau, spreadsheets, and AI tools all use the same logic.
AI-ready structure
Clear names, descriptions, and relationships, so AI assistants can find the right data and explain where an answer came from.
Tests and documentation
Automated tests on every key model, and searchable docs that show what each field means and where it came from.
Common questions
What is a semantic layer?
One place where metrics are defined in code. Dashboards and AI tools ask it for revenue instead of each calculating revenue its own way.
How do we get everyone to agree on what a metric means?
I sit down with the people who use each metric, from finance to sales, to settle on one definition. It gets written down and built once. When the business changes, the definition changes in one place.
Do we need this before rolling out AI?
If you want AI answering business questions, yes. Without defined metrics, AI picks whatever looks closest, and its answers drift away from your reports.