Frame the hypothesis
Choose the decision to test, such as whether a source can be integrated or a reporting pattern meets the required freshness. Record data volume, user assumptions and limitations that could affect interpretation.
Data & AI / Overview
DIGITAL CLOUD / Data & AI
Microsoft Fabric Proof of Concept
Test a narrow analytics question in a time-boxed prototype. Agree success criteria and evaluate results before making a production commitment.
Plan your solution01
Microsoft Fabric Proof of Concept
Understanding the solution
A Microsoft Fabric Proof of Concept tests a specific uncertainty before a larger commitment. Digital Cloud agrees a question, representative data and measurable criteria, then builds a prototype to collect evidence. Duration follows scope and access readiness rather than a guaranteed window.
Microsoft Fabric brings data integration, engineering and analytics capabilities into one platform, with OneLake as a shared data foundation. A project should define workspaces, ingestion, transformations and reporting together. Capacity and governance decisions shape how that environment is used and operated. Useful analytics depends on consistent definitions and reliable source data. Connecting platforms is only part of the work: ownership, quality, access and reconciliation determine whether people can trust the result.
Capabilities and scope
Run a controlled experiment
Implement the relevant ingestion, storage and query path. Compare observed correctness, processing behaviour and capacity consumption with the criteria; keep the test reproducible and record conditions instead of extrapolating from a demonstration.
Decide with evidence
Review successes, failures and unresolved questions with business and IT owners. Recommend continuation, redesign or further investigation, with a separate list of work needed for secure and supportable production operation.
A practical example
Analysts test whether an operational feed supports required reporting intervals without overloading its source, then review results.
What your project can deliver
- A test charter with hypothesis, sample scope and acceptance criteria.
- A prototype and evidence log describing results and constraints.
- A decision report with production gaps and proposed next steps.
The final deliverables, licensing and responsibilities are agreed for your environment before implementation.
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Requirements and considerations
List sources, reports, decision makers and data-quality concerns. Agree refresh needs, access rules, capacity and validation checks before moving a prototype into routine use.
Microsoft Fabric Proof of Concept
Project priorities
Test question
Success measures
Production decision
We begin with a conversation about the task, the people involved and the systems already in place. Together we identify what a useful result would look like and which dependencies need attention first. The agreed proposal sets the delivery boundaries, responsibilities and acceptance criteria.
Your engagement
How Digital Cloud can help
| Project phase | What happens |
|---|---|
| 01Prepare | Involve the relevant process owners and prepare a representative example. Agree on the questions to answer, the preparation needed and the information that can be used safely. |
| 02Review | Work through the agreed scenario with the team. Capture decisions, open questions and the technical or organizational changes needed to move forward. |
| 03Validate | Review the outputs together and assign next actions. A workshop or prototype informs the next decision; production implementation and continuing support are scoped separately. |
Microsoft Fabric Proof of Concept
Questions before you start
Does a successful PoC guarantee production performance?
No. A sample proves only what was tested. Larger volumes, concurrent users, resilience and ongoing operations require further design and validation.
What determines the cost and schedule?
The starting environment, integrations, user groups and agreed outputs determine the effort. We confirm scope and commercial terms before work begins. Software licenses, infrastructure consumption and ongoing support may be separate items.
What will we receive?
The proposal identifies the deliverables: these may include findings, a prioritized roadmap, a tested configuration, a prototype, documentation or training. We agree what is included and how completion will be assessed.
Can this work with our existing systems?
We review the actual applications, data sources and access requirements before recommending an integration. Dependencies and compatibility limits are recorded so the delivery plan reflects your environment.
What happens after the initial work?
You can use the findings to guide your own team or discuss a follow-on phase. Any maintenance, monitoring or support includes separately agreed service hours, responsibilities and response targets.
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