Reporia & Chartedly
Data & AI Innovations

One unified analytics platform, built on Microsoft Fabric.

End-to-end Microsoft Fabric implementation and enablement.

Cloud data platform dashboard on a laptop

Overview

Placeholder overview: we implement Microsoft Fabric as the unified platform for data engineering, data warehousing, real-time analytics and BI — replacing disconnected tools with one governed lakehouse your teams can build on.

What's included

Key capabilities

Fabric lakehouse implementation

OneLake data architecture

Data pipeline & Dataflow development

Real-time analytics

Power BI semantic modeling

Fabric governance & capacity planning

The impact

What this typically looks like

How we work

Our process

Our process: Assess → Architect → Implement → Migrate → Enable

  1. 1

    Assess

    Review existing data estate and Fabric readiness.

  2. 2

    Architect

    Design the lakehouse, workspaces and capacity plan.

  3. 3

    Implement

    Build pipelines, datasets and semantic models in Fabric.

  4. 4

    Migrate

    Move existing workloads and reporting into Fabric.

  5. 5

    Enable

    Train teams and hand over a governed Fabric environment.

Tech stack

Tools & platforms

  • Microsoft Fabric
  • OneLake
  • Power BI
  • Azure Synapse
  • Azure Data Factory
  • Azure

Proof

Related case studies

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FAQ

Frequently asked questions

How is Microsoft Fabric different from our existing Power BI setup?

Placeholder answer — to be replaced with real platform comparison details.

Can Fabric replace our current data warehouse?

Placeholder answer — to be replaced with real migration guidance.

What licensing / capacity do we need to get started?

Placeholder answer — to be replaced with real licensing guidance.

Get started

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