Microsoft Fabric, scoped and built honestly
Agilytic helps Belgian organizations decide whether Microsoft Fabric is the right platform, then implement it without lock-in regret. Independent advice. No vendor commissions.
400+ data projects since 2015.
Fabric readiness assessment
OneLake and Lakehouse design
Data Factory and pipelines
Power BI and Fabric integration
Hybrid Fabric + Databricks architecture
Team training and adoption
400+
Projects completed since 2015
10
Years of data & AI expertise
100%
Independent - no vendor bias
100+
Organizations served
The pains we hear from Belgian leaders considering Fabric
You keep getting different answers on whether Fabric is right for you
Microsoft says adopt now. Your reseller pushes their partnership stack. A LinkedIn thread recommends open-source instead. You need a read on Fabric that isn't shaped by someone else's commission.
The Fabric business case is hard to build honestly
Real Fabric ROI sits in senior meetings you stop having and decisions your team can finally take. Both are real. Neither fits neatly on the vendor's slide, so most business cases either overpromise or underdeliver.
Power BI works, but everything upstream is duct tape
The data pipeline feeding your reporting is fragile, undocumented, and one resignation away from breaking. Fabric is built for this exact problem, but adopting it correctly is the difference between a foundation and a fresh mess.
1. Fabric readiness assessment
We review your data stack, team, use cases, and priorities, then give you a clear yes-or-no on Fabric with reasoning, cost ranges, and a phased plan. "Buy Fabric" is not an automatic conclusion. If it isn't the right move, we say so.
2. Microsoft Fabric implementation
rom OneLake design and Data Factory setup to your first two or three high-value use cases in production. We work alongside your team rather than replacing it, so the knowledge stays with you when we leave.
3. Adoption, scale and AI use cases
Once the foundation is built, we help you industrialize: new data products, internal training, AI use cases on top of Fabric, and governance reviews as usage grows. Ongoing, as needed.