Decisions that move before the meeting.
Power BI, semantic models and self-service, grounded in the Microsoft Fabric backbone. So the right number is one click away, not one ticket away.
Built for outcomes, not for the deliverables themselves.
Every engagement ships value in the first weeks, not months.
Power BI semantic model
A central, version-controlled model with row-level security, calculation groups and clean naming, the spine of self-service.
Self-service enablement
Workspaces, datasets, certified reports and a sandbox that lets analysts build without breaking production.
Embedded analytics
Dashboards inside your CRM, ERP or custom app, so insight lives where the work happens.
Migration to Fabric Direct Lake
From Import + Refresh to Direct Lake on OneLake, sub-second queries on your largest tables.
Conversational BI with Copilot
Natural-language questions over your governed model, with the right answer, every time.
Performance tuning & cost control
Capacity sizing, query patterns, caching, so Power BI stays fast and your invoice stays predictable.
Real-time & streaming analytics
Live operational dashboards on Fabric Real-Time Intelligence and eventstreams, so teams act on what is happening now, not yesterday.
How a typical engagement runs.
A predictable rhythm for unpredictable problems, senior team kickoff through delivery to support.
KPI tiering & definition workshop
Two weeks. We agree which numbers move strategy, which move operations, which support specialists.
Semantic model & report blueprints
One model, multiple lenses, with row-level security and calculation groups baked in from day one.
Build, certify, ship
First dashboards live in week three. Iterate weekly with users in the room, not via email.
Self-service & continuous improvement
Train champions, certify content, retire shadow reports, so adoption compounds.
Where this solution earns its keep.
The day-to-day problems this practice is built to solve.
What makes us different.
Five reasons enterprise teams keep us around long after go-live.
End-to-end
Strategy, architecture, engineering, governance, AI and managed service. One partner, one accountability. Translated into measurable business outcomes the board cares about.
Seniority you can feel
50+ experts, avg. 15+ years. Multi-lingual (NL, FR, EN, EE).
Proven AI & Fabric accelerators
FabricIgnite Packs and battle-tested AI patterns. Reused across 100+ references.
Responsible by design
Privacy by design, GDPR, EU AI Act readiness, Purview-driven governance baked in from day one.
We own the run
Same Sparkleers from kickoff through delivery to support. Managed service keeps the platform healthy and the value compounding.
Bring us your toughest data or AI challenge.
60 minutes. Senior data consultant. We bring 100+ references and a senior team. You bring the messy reality.
Plan a 60-min call →FAQ
Frequently asked questions
- What's the difference between Power BI and a real analytics platform?
- Power BI is the visualisation layer. A real platform adds a governed semantic model, a single source of truth and refreshes you can trust. We build that model and the Fabric backbone underneath, so your dashboards agree with each other.
- How do you stop 'eight versions of the truth'?
- We define each metric once in a shared semantic model, so 'active customer' or 'revenue' means the same thing in every report. Self-service then draws from that model instead of private spreadsheets.
- Do we need Microsoft Fabric for analytics?
- Not always. With one workspace and modest data, Power BI Pro can be enough. Fabric earns its place when you unify multiple sources, need governance, or want real-time and AI on the same data.
- How fast can we see results?
- We typically ship a governed first dashboard on a real business question within weeks, then expand domain by domain rather than boiling the ocean.