Analytics & Business Intelligence

Business intelligence reports what happened so teams can act daily. Advanced analytics models what is likely to happen and why: attribution, forecasts, and lifetime value: which needs deeper data work but changes larger decisions.

Tracking and dashboards typically land within four to eight weeks. Attribution models need three to six months of clean data before the output is trustworthy, and we say so up front rather than showing early numbers we do not believe.

It helps substantially. Client-side collection misses conversions behind ad blockers and browser privacy limits, which distorts every model built on top of it. We start by measuring how much you are losing.

Looker Studio and Power BI primarily, plus Tableau where it is already in place. The tool matters less than whether the model is built around the decisions your team makes.

We interview the people who will use it before building, prototype with them, and run a handover session for every regular user. Adoption is treated as part of the deliverable, not a training task afterwards.

Yes. Most engagements build in Looker Studio or Power BI, but if your team is already productive in another tool we model the data for that instead of forcing a migration.

It is a governed set of definitions so revenue or customer means the same thing everywhere. Without one, finance, sales, and operations keep reporting different numbers, and nobody trusts any of them.

On a schedule you choose: PDF packs by email, Slack summaries, or alerts when a metric crosses a threshold. The generation is automated, so nobody spends two days assembling slides.