We turn GA4 and operational data into decision-ready Power BI dashboards.
Power BI is where operational and marketing data become a decision. We model the data first, then build dashboards a board can read in two minutes without needing an analyst present.
Reporting that leadership can act on
Most organisations do not lack data; they lack a view of it that supports a decision. Power BI is where we consolidate marketing, commerce and operational data into a small number of decision-relevant measures — trend, target and variance — with plain-language commentary rather than a wall of charts.
The design constraint we hold ourselves to is that a board should absorb the report in two minutes without an analyst present to interpret it. Dashboards that require narration are dashboards that will not be used.
How we build it
Data modelling first. Combining GA4, advertising platforms, commerce and ERP data requires agreed definitions — what a lead is, when revenue is recognised, how returns are treated — and those definitions are decided with the people who use the report, not assumed by us.
Then scheduled refresh so figures are current, row-level security so a regional manager sees their region and an executive sees everything, and clear labelling of anything that is modelled or estimated rather than measured. Where a number carries a caveat, the dashboard carries it too.
Where it earns its place
For our rates and collections work it supports operational reporting that must withstand external review. For commerce clients it reconciles inventory, sales and campaign performance in one place. For marketing programmes it is where paid, organic, AI-visibility and conversion data finally sit side by side — which is the only way to see whether the whole system is working rather than whether one channel looks busy.
Why Power BI rather than the reporting in our tools?
Because platform-native reporting only ever sees its own data. The decisions that matter need marketing, commerce and operational figures side by side, with agreed definitions. That consolidation is the whole point.
How do we know the numbers are right?
Because the definitions are agreed with the people who use the report before anything is built — what counts as a lead, when revenue is recognised, how returns are treated — and anything modelled or estimated is labelled as such on the dashboard.
Can different people see different data?
Yes. Row-level security means a regional manager sees their region and an executive sees everything, from one report rather than several maintained copies.