Microsoft Fabric Solutions

A unified data ecosystem, from raw data to BI.

Data engineering, analytics and real-time insights on one platform, instead of separate tools stitched together.

One platformLake to BI
SaaSFully cloud-based
Power BI-readyReporting built in
In plain English
This is the broader data-platform service. Instead of focusing only on the dashboard people see, a Fabric project looks at how data is collected, stored, transformed, governed and made available for analytics.
What we say

How we describe this service

  1. 01Microsoft Fabric is an all-in-one, cloud-based analytics platform for managing data from raw ingestion through to business intelligence.
  2. 02Fabric brings these capabilities together, so you don’t have to stitch together separate services for a data lake, a data warehouse and visualization.
  3. 03We position Fabric around one unified, cohesive Software-as-a-Service (SaaS) experience.
The difference

One platform instead of a patchwork.

Stitched together

Separate tools, separate bills

A data lake service
A separate data warehouse
A separate visualization tool
Integration work between each one
VS

Microsoft Fabric

One unified SaaS platform

Data engineering
Analytics & warehousing
Real-time insights
Business intelligence, end to end
Deliverables

What a project can include

01

Fabric data architecture

A proposed architecture for your data and reporting needs.

02

Ingestion & transformation workflows

Pipelines that bring data in and shape it, as scoped.

03

Organized data layers & models

Structured layers ready for reporting.

04

Analytics & BI integration

Connected through to Power BI reporting.

05

Deployment & handover docs

Documentation for your team, if included in the agreement.

Final scope, deliverables and timeline are agreed in your written proposal.

Clarity up front

Questions your proposal will answer

No surprises. Before work starts, we agree on these in writing, together with milestones, price, exclusions and support terms.

  1. Which Fabric workloads and components are in scope?
  2. What are the expected data volumes, refresh needs and security requirements?
  3. Who manages tenant setup, licensing, capacity, monitoring and ongoing costs?

Plan your move to a unified data platform.

We’ll map your current sources and propose a Fabric architecture that fits.

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