Service
Data & Business Intelligence
Most companies don't have a data problem. They have a “data they can't use” problem. We build the pipelines, the warehouse, and the dashboards that turn scattered numbers into decisions your team trusts — with a strategy behind them.
The problem
Reports nobody trusts. Dashboards nobody opens.
Numbers live in ten tools and never quite agree. Reporting eats hours every week. Leadership makes calls on gut because the data is late, wrong, or buried. The fix isn't another tool — it's a clean foundation and a few dashboards people actually rely on.
How we work
Get the foundation right
We design the data model, pipelines, and warehouse so there's one source of truth instead of ten conflicting ones.
Make it usable
We build dashboards and reporting around the questions you actually ask — not every metric that exists.
Keep it trustworthy
We add the tests, definitions, and governance that keep the numbers correct as you grow.
What we do
- Data strategy & architecture
- Data engineering & pipelines (ETL / ELT)
- Data warehousing (Snowflake, BigQuery, dbt)
- BI dashboards (Power BI, Tableau, Looker)
- Product & marketing analytics (GA4, events)
- Data governance & quality
What you get
- One source of truth your team trusts
- Dashboards leadership actually opens
- Hours of manual reporting back every week
- Decisions made on current, correct numbers
FAQ
Questions, answered.
What does a business intelligence consultant do?
We turn raw, scattered data into reliable reporting and dashboards. That means designing the data foundation — pipelines and a warehouse — then building the dashboards and definitions your team uses to make decisions.
Which BI and data tools do you work with?
Power BI, Tableau, and Looker for dashboards; Snowflake, BigQuery, and dbt for the warehouse and modeling; GA4 and event tracking for product and marketing analytics. We choose tools to fit your stack and budget.
Our numbers never match across tools. Can you fix that?
Yes — that's usually a data-foundation problem. We build one source of truth with clear, shared definitions so reports stop disagreeing.
Do we need a data warehouse?
Sometimes. If your data lives in many tools and reporting is painful, a warehouse usually pays for itself. We'll tell you straight if you don't need one yet.
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Have something worth building?
Tell us what you're working on. We'll give you a straight read on the right approach — and whether we're the right partner to build it.
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