Data Platform Modernisation.
From legacy patchwork to a Microsoft Fabric backbone, built on a reference architecture battle-tested across 100+ references. Same accountable team from kickoff through delivery to support.
Seven deliverables on one reference architecture.
Built on Microsoft Fabric and Azure Databricks, customised in weeks, not quarters. Never starting from a blank page.
Concrete artefacts you walk away with
- Microsoft Fabric landing zone + capacity right-sizing
- Medallion architecture (bronze / silver / gold) end-to-end
- Legacy migration: SQL Server, SSIS, Synapse → Fabric
- Data engineering pipelines (Python, dbt, Fabric notebooks)
- Real-time & operational analytics flows
- Customer-specific extensions on our reference architecture
- AI-ready foundation: clean, governed data, prepared for GenAI & agents
Microsoft-first, by conviction
Microsoft Belgium Partner of the Year 2022 & 2023. We extend the Microsoft data stack with what fits each engagement.
Same senior team across all four phases.
From whiteboard sketch to managed run. The handover stays internal. You keep the same Sparkleers from kickoff through delivery to support.
Assess
Where you are today: data sources, pipelines, blockers. What could ship in 90 days.
Design
Target architecture on our reference blueprint. Governance baked in from day one.
Build
Senior team ships. FabricIgnite Packs accelerate the first 90 days end-to-end.
Run
Managed service. Platform stays healthy. Value keeps compounding for years.
If your team is fighting any of these, this is your domain.
Six of the twelve patterns we see across enterprises map directly to Data Platform Modernisation. Here are the ones we own.
Fragmented data & silos
Customer in five systems. Truth in zero.
Discover this challenge →Future-proof data architecture
A foundation for what you need now and what's coming.
Discover this challenge →Cloud migration & modernization
Move to cloud without breaking what works.
Discover this challenge →Legacy systems holding you back
Get the data out of legacy systems and into a working platform.
Discover this challenge →Real-time & operational analytics
From batch reports to live insights.
Discover this challenge →AI-ready data foundation
No AI without clean, connected, governed data.
Discover this challenge →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
- When is it time to modernise our data platform?
- When reports disagree, refreshes are fragile, licences for legacy tools (Qlik, SAP BO, on-prem SQL) keep rising, or you simply cannot put AI on top of what you have today.
- What does a modern platform look like?
- A governed lakehouse with a medallion architecture (bronze, silver, gold), a semantic model for fast, interactive BI, and Purview governance, all on Microsoft Fabric or Databricks.
- Do we have to migrate everything at once?
- No. We migrate one business domain end to end, run old and new in parallel until the numbers match, then expand. Big-bang lift-and-shift is where these projects fail.
- How is Sparkle different from a body shop?
- The same senior team from kickoff through delivery to support, no parking of juniors on your account, and we stay engaged after go-live instead of handing over and leaving.