Numbers you can trust, assembled without a person
Pipelines, warehousing, and reporting on Google Cloud. The unglamorous part (getting data out of your systems reliably) is where most of the value is, so it's where we start.
What people come to us with
- Reporting assembled by hand from several exports, every week.
- Two systems that disagree, with no way to tell which is right.
- A pipeline that fails silently and is noticed days later.
- Data spread across tools with no single place to ask a question.
- A BI tool bought and never really adopted, because feeding it is work.
Pipelines first, dashboards second
A confident dashboard on unreliable data is worse than none at all.
Data pipelines
Automated movement from your systems into one place, with alerting when a source stops.
Warehousing
BigQuery sized and structured for your questions, on a pay-per-query model rather than a licence.
Reporting and dashboards
Built around the decisions people make, and delivered where they already look.
Prediction on your data
Forecasting and ML where the history supports it, using BigQuery ML rather than a separate stack.
How an engagement actually runs
Free consultation
Thirty minutes on the problem and your constraints. No slide deck, no obligation.
Scope and estimate
What we'd do, in what order, and what it would take. Small enough to say yes to.
Build in the open
You see progress as it happens and talk to the engineers doing the work.
Hand over
Documented and yours. Ongoing support is an option, never a requirement.
Tell us the question you can't answer
We'll tell you what it would take to answer it reliably, every week, on its own.
No obligation, no sales pitch. We'll tell you what isn't worth doing.