Analytics · BI · catalogues
Data insights & strategy
See the business as it actually is.
Catalogues, models, dashboards and the questions behind them — so leaders are not arguing over whose spreadsheet is right.
The usual problem
Everyone has a report. Few people share a definition. Revenue, ‘active customer’, even headcount — three teams, three numbers, one awkward meeting.
How we approach it
We write the definitions down first. Then we build the warehouse, the semantic layer and the views that use them. Dashboards come last, when the grain is honest.
What good looks like
- One number for the thing the board asks about
- Analysts who spend time thinking, not reconciling
- A catalogue people actually search
Typical work
- Data strategy and operating models
- Catalogues, lineage and a shared language for metrics
- Business dashboards that answer a named question
- Predictive and statistical analysis where it earns its place
- Retention, sales and operational performance work
- Data quality, governance and stewardship
Tell us the problem. We’ll tell you if we can help.
A short conversation is usually enough to know whether this is a two-week discovery or a longer piece of work. No pitch deck.