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Data Analytics

Your numbers, finally talking sense.

Dashboards, pipelines and reporting that turn scattered business data into decisions you can defend in a boardroom.

Revenue▲ 38% QoQ

What we build it with

  • Python
  • SQL
  • dbt
  • BigQuery
  • Metabase
  • Power BI
  • Airflow
What you get

Five things you actually receive.

  • Analytics dashboards

  • Data pipelines

  • Business reporting

  • Tracking & attribution setup

  • Forecasting models

How we work

Four stages, no black boxes.

  1. 01

    Discover

    We interrogate the problem before we touch a pixel.

  2. 02

    Design

    Strategy made visible — reviewed with you, weekly.

  3. 03

    Build

    Senior hands only. Shipped in slices you can use.

  4. 04

    Compound

    Launch is the start. We measure, learn, improve.

The outcome

One dashboard that answers 'how are we doing?' before anyone asks.

The work, up close

What data analytics looks like from us.

One dashboard, every question answered
Pipelines that run themselves
Attribution you can defend
How the engagement works

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
Common questions

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.