Data services

Data people trust.

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Data engineering

Getting your data into one place, correctly

“Our numbers don’t match between systems.”

Pipelines & integration

We join up the systems you already run, so a figure means the same thing everywhere it appears and it updates without anyone exporting a file first.

“Someone spends a day a week assembling this by hand.”

Warehouse setup

One place the data lands and stays, set up so reports read from it directly instead of from a file on someone’s desktop.

“We’re not confident what’s in there is right.”

Cleanup & quality

We go looking for the duplicates, the gaps and the field nobody has filled in since 2019. We fix what can be fixed, then add checks so it stays fixed.

Reporting & dashboards

Reports people actually open

“Nobody trusts the numbers in this report.”

Reporting rebuild

We trace every figure back to where it came from, write the definitions down with you, then rebuild the report so the same question gives the same answer twice.

“We have dashboards and nobody opens them.”

Dashboard design

Usually a design problem rather than a data one. We find out what each person decides each week and build the view around that, in the tool you already pay for.

“The board pack takes three people a week.”

Board & exec reporting

A pack that builds itself: same figures, same format, ready on the date you need it, with the commentary left for you to write.

Advanced analytics

Answering the questions a dashboard can't

“Which of our customers are about to leave?”

Predictive models

We build and test a model on your own history, then tell you how often it’s right and where you shouldn’t lean on it.

“What does next quarter actually look like?”

Forecasting

Demand, revenue, staffing or stock, forecast from your own numbers. You get a range, not one confident-looking figure.

Most AI projects fail on the data, not the model.

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