Dashboards people actually open
Most dashboards are built once, checked twice, then quietly abandoned. We build the ones your team returns to, because each one answers a question somebody genuinely has every week.
Any of these sound familiar?
"We built dashboards and nobody uses them"
They answer questions nobody was asking, or they take thirty seconds to load and people give up.
"Everyone exports to Excel anyway"
The report can't do what people actually need, so it's a starting point rather than an answer.
"Two reports, two revenue numbers"
Metrics are defined inside each individual report instead of once, in one place everyone draws from.
"Only one person can change it"
The report is a black box, and the person who built it has moved on.
Reporting that survives contact with the team
Metric definitions
One agreed definition per metric, held in the semantic layer rather than rewritten inside each chart.
Executive KPI boards
The handful of numbers leadership checks, with trend and comparison, readable on one screen.
Operational drill-downs
Views built for the person doing the work, filtered to the accounts or region they actually own.
Self-serve models
Curated datasets your analysts can query on their own without breaking anything downstream.
Row-level security
One report where each person sees their own team, region or accounts, and nothing else.
Adoption and training
Sessions with the real users. A dashboard nobody was taught to read is a dashboard nobody uses.
Tools we reach for
If you already have a BI licence, we build in that. Switching tools is rarely the fix for an adoption problem.
A typical engagement
- Week 1
Decision mapping
Interviews with the people who will actually use it, to find the questions worth building for.
- Weeks 2–4
Build
Models first, then reports, reviewed with those same users at the end of every week.
- Weeks 5–6
Rollout
Training, access setup, then a feedback round and the fixes it produces.