Data strategy and KPIs
Deciding what is worth measuring before building anything. A short list of numbers the leadership team acts on beats a warehouse nobody opens.
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Data · Insights
Numbers you can run a decision on
Most companies do not lack data. They lack agreement about what it says. We build the single version of the numbers, then the reporting that keeps it honest.
Capabilities
What we build
Warehouse and pipelines
One place where the data lands, cleaned and reconciled, so two reports stop disagreeing about the same week.
Product and growth analytics
Cohorts, retention, funnels and unit economics, tracked closely enough to tell a real change from noise.
Risk and compliance reporting
Monitoring built around what your regulator and your payment partners expect to receive, on their schedule.
Automation
The repetitive analysis handed to a scheduled job, with only the exceptions routed to a person.
Engagements
Three starting points
Insight launchpad
A first dashboard and a clean source in weeks, so decisions stop waiting on someone’s spreadsheet.
Growth intelligence
Deeper modelling around acquisition, retention and margin. Usually where the money turns out to be leaking.
Regulatory analytics
Reporting pipelines for licence conditions and AML obligations, with an audit trail behind every figure.
Process
How the work runs
01
Discovery and KPI map
Which decisions are being made blind today, and which numbers would change them. Everything else is deferred.
02
Data blueprint
Sources, model, warehouse, and the definitions everyone agrees to use before the arguing starts.
03
Implementation sprints
Pipelines and dashboards delivered in usable slices, not one reveal at the end of the quarter.
04
Enablement
Your team trained on it, then ongoing tuning as the questions change. They always change.
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