Dashboards people actually open.
Power BI and Microsoft Fabric work, delivered by engineers who model first and visualise second. Semantic models that scale, governance you can defend, and a capacity story that survives a CFO review.
Pretty dashboards don't beat trusted ones.
Most BI estates we inherit have the same problem: 400 reports, six versions of revenue, and an audience that quietly stopped opening them. The fix isn't another visual — it's the modelling layer beneath.
We design semantic models that tell a single truth, write DAX that's readable in six months, and deploy via a real ALM pipeline. Then — and only then — we make it look good.
Built for the work — not for the deck.
Semantic model design
Star schemas done properly. Single source of truth for the metrics that matter, with calculation groups that keep DAX readable.
Microsoft Fabric architecture
Lakehouse, warehouse, and semantic layer on Fabric — with the capacity sizing and workspace governance that stops surprise bills.
Data pipelines
Ingest from Dataverse, SQL, SaaS, and legacy sources via Fabric pipelines or Synapse. Incremental refresh, lineage, and quality gates baked in.
Reports & visualisation
Reports that pass a usability test on a phone, a tablet, and a 4K screen. Designed for the question, not the showcase.
Tenant governance
Workspace strategy, deployment pipelines, certification of datasets, and a Purview catalogue your stewards will maintain.
Copilot for Power BI
Copilot integration for natural-language reporting and narrative summaries — with guardrails that keep it factual.
A measured, honest path from idea to production.
Audit
Two-week audit of your current estate. Usage telemetry, model debt, and the metrics that nobody can defend.
Model
Design the semantic layer first. Stakeholder workshops to lock the definitions of revenue, margin, churn — every contested metric.
Build
Pipelines, datasets, and reports built in source-controlled solutions. Test packs that catch broken DAX before users do.
Steward
Stewardship model so trust doesn't decay. Quarterly review of the model, the metrics, and the unused reports.
Patterns clients keep coming back for.
Finance and exec reporting
Single source of truth for revenue, margin, cash, and forecast variance — with the documented lineage your auditor wants and the agility your CFO needs.
Operations analytics
Real-time operational dashboards for ops, supply, and service — with drill-through to the underlying transactions and integrated alerts.
Customer & product analytics
Unified customer view stitching CRM, support, e-commerce, and product telemetry — the foundation for retention work and next-best-action.
What good looks like.
- One definition of revenue. Defended by the team, not just by IT.
- Capacity sized to actual workload, not pessimistic estimates.
- Report performance you can show off, not apologise for.
- A stewardship model that decays gracefully when people leave.
- Documented data lineage that survives an audit.
The questions clients ask first.
Should we move to Microsoft Fabric?
Can you migrate from Tableau / Qlik / Looker?
How do you handle the contested-metric problem?
Do you support DataOps and DevOps for analytics?
Let's scope a first conversation.
Tell us what you're trying to do. We'll come back with a point of view, not a sales pitch.