A working prototype on your data
A Fabric environment built with your real data, with one use case implemented end to end: working pipelines, a lakehouse, and reports.
Assess
Most Fabric evaluations get decided in a meeting room. This one is decided on your own data: two to four weeks, one use case built end to end, and a go or no-go you can defend.
A Fabric environment built with your real data, with one use case implemented end to end: working pipelines, a lakehouse, and reports.
Architecture recommendations for a full build, a migration feasibility view with the risks named, and a roadmap with phases and timeline.
A walkthrough of the prototype and the architecture behind it, a session on your specific concerns, and a clear picture of what a full build involves.
Agree goals and success criteria, gather requirements and pick the use case, then configure the platform and the integrations it needs.
Prototype development with regular check-ins, testing with your stakeholders, and adjustments while there is still time to make them.
A demonstration of what was built, an architecture walkthrough, and my read on whether to proceed, with the roadmap for doing it.
It works when you need evidence: you're evaluating Fabric, checking feasibility before committing, or need a working demonstration to get buy-in. We start with a short scoping call to confirm the POC can answer your questions before any work begins.
If you're past validation and ready to build, start with the Fabric platform build instead. If there is no data or use case ready to test, there is nothing yet for a POC to prove.
What moves it from two weeks to four
Prathy delivered far beyond expectations. Her ability to quickly understand a complex business environment and extract meaningful insights was outstanding. Her solo effort felt like the work of an entire team. Strategic, efficient, and genuinely impactful.
Book a call and we'll work out whether a POC can answer your question, and what it would need to include.