Assess

Fabric POC and assessment

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.

Duration
2 to 4 weeks
Engagement
Fixed scope, defined deliverables, cost and end date agreed before we start
You leave with
A working prototype and a go or no-go decision

What you get

WORKING PROTOTYPE

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.

RECOMMENDATIONS

Recommendations, risks and a roadmap

Architecture recommendations for a full build, a migration feasibility view with the risks named, and a roadmap with phases and timeline.

KNOWLEDGE TRANSFER

A walkthrough for your team

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.

How the two to four weeks run

WEEK 1

Scope and set up

Agree goals and success criteria, gather requirements and pick the use case, then configure the platform and the integrations it needs.

WEEK 2

Build and show

Prototype development with regular check-ins, testing with your stakeholders, and adjustments while there is still time to make them.

CLOSE

Findings and next step

A demonstration of what was built, an architecture walkthrough, and my read on whether to proceed, with the roadmap for doing it.

When a POC is the right first step

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

  • How complex the use case is
  • How available and clean your data is
  • Stakeholder availability for workshops
  • How many systems need integrating

What a client said

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.
Project client

Test it on your data

Book a call and we'll work out whether a POC can answer your question, and what it would need to include.