Why do dashboards multiply while trust in the numbers falls?
Because every team builds its own version of the truth. We build a conformed semantic layer everyone can stand behind — then the reporting on top of it that executives actually use.
The questions we ask before anything is built
Before we build a single visual, we establish what decision each report exists to serve.
- Which decisions does your organisation make weekly on numbers no two teams agree on?
- If two dashboards disagree, which one wins — and why?
- What does leadership need on one screen, without a caveat footnote?
- Who maintains the semantic model when the business changes — and how fast can it change?
- Which reports would nobody miss if they disappeared?
Capabilities, stated as outcomes
Conformed semantic models
One governed semantic layer over the canonical model — measures defined once, agreed once, reused everywhere.
Power BI at enterprise scale
Workspace architecture, deployment pipelines, capacity and security design — Power BI run as a platform, not a folder of files.
Executive reporting
Single-viewport reporting for leadership: the state of the business without scrolling, caveats or reconciliation meetings.
Self-service enablement
Certified datasets, training and guardrails that let analysts move fast without forking the truth.
Three shapes of engagement
Analytics engagements start wherever trust is weakest — sometimes the model, sometimes the reports, sometimes adoption.
Advisory
Senior architecture counsel by the day — reviews, decision support, and a second pair of eyes on the choices that are hard to reverse.
Delivery
A small senior squad that designs and builds — architecture, engineering and knowledge transfer as one engagement, with confirmation gates at every phase.
Review & rescue
An independent, evidence-based assessment of an existing platform or stalled initiative, with a costed path forward.