Data Analytics
Your numbers, finally talking sense.
Dashboards, pipelines and reporting that turn scattered business data into decisions you can defend in a boardroom.
What we build it with
- Python
- SQL
- dbt
- BigQuery
- Metabase
- Power BI
- Airflow
Five things you actually receive.
Analytics dashboards
Data pipelines
Business reporting
Tracking & attribution setup
Forecasting models
Four stages, no black boxes.
- 01
Discover
We interrogate the problem before we touch a pixel.
- 02
Design
Strategy made visible — reviewed with you, weekly.
- 03
Build
Senior hands only. Shipped in slices you can use.
- 04
Compound
Launch is the start. We measure, learn, improve.
The outcome
One dashboard that answers 'how are we doing?' before anyone asks.
What data analytics looks like from us.
No surprises, on either side.
Every engagement starts with a written scope and a fixed price for it. You can see the shape of the work before you commit to any of it.
- Engagement model
- Data audit, pipeline build, then reporting retainer
- Typical timeline
- 4–10 weeks to first trusted dashboard
- Team you get
- 1 data engineer, 1 analyst
- Review cadence
- Weekly dashboard review with your team
Asked and answered.
Still unsure about something? Ask us directly — a senior team member replies within one working day.
That is the normal starting point, and it is exactly the problem we solve. We map every source you have, build pipelines that pull them into one warehouse, and reconcile the definitions — so 'active customer' means one thing across the whole business.
Free consultation
Ninety seconds to brief us. No obligation, no sales sequence — just a straight answer on whether we are the right team for it.
