Business intelligence
For teams whose numbers do not match and whose dashboards sit unused. Start by sending us one report that is not working.
The problem
Finance says one figure, sales says another, and the meeting becomes a debate about the data.
It launched with enthusiasm. Months later the team is back to asking for exports.
Simple questions wait days for an analyst because the data is not ready to explore.
Spreadsheets are pulled from five systems and combined by hand before every review.
Read: Why Most BI Dashboards Get Abandoned Within Six Months
Fix / Rebuild / Kill
The review looks at the sources, the model, the metrics, and who actually uses it. Then we tell you which of three things to do.
Verdict
The sources and metrics are sound, but the dashboard is slow, cluttered, or answers the wrong question. A targeted cleanup makes it usable again.
Verdict
The model underneath is wrong or the numbers cannot be trusted. We rebuild from sources and definitions, then the dashboard.
Verdict
Nobody makes a decision from it. Retiring it saves maintenance and removes a number people might wrongly trust.
How we build
BI starts before the dashboard. Each step has a deliverable you keep.
Data spread across systems with no agreed definitions.
One pipeline and one definition per metric.
Built around a named decision and a named owner.
People are shown how to use it, and usage is tracked.
Capabilities
Before the dashboard
Source mapping, transformation, quality checks, and refresh schedules that feed one trusted model.
Governed reporting
Semantic models, DAX, permissions, refresh, and performance for daily decision-making.
Exploration
Dashboards and published data sources for exploration-heavy teams that still need governed data.
Proof
Reporting rebuild from fragmented sources into dashboards teams can open without filing an analytics ticket.
Send one dashboard and where its data comes from. You get a plain verdict: fix, rebuild, or kill.
