Data & AnalyticsMicrosoft Fabric

Microsoft Fabric for a Unified Data Platform

Bring data engineering, warehousing, analytics, and AI together in a single Microsoft platform.

OneLake
unified data layer
10x
faster AI adoption
40%
lower TCO
Unified data platform visual
Trusted by UK businesses
Microsoft Solutions Partner

What is Microsoft Fabric?

Microsoft Fabric is a unified data platform that combines data engineering, warehousing, real‑time analytics, and Power BI in one SaaS experience.

Instead of managing multiple tools, Fabric provides a single foundation with OneLake storage. This reduces duplication, simplifies governance, and speeds up insight delivery.

Fabric is ideal for organisations that need to scale beyond reporting, build AI‑ready datasets, and bring analytics closer to the business.

We help you design a Fabric roadmap, deliver the initial foundation quickly, and expand capability over time.

Common Challenges

Problems Fabric Solves

If your data estate is fragmented, Fabric provides a unified alternative.

Fragmented Data Estate

Data lives across warehouses, data lakes, and analytics tools with no single view.

Fabric unifies your data on OneLake with consistent access across workloads.

High Data Engineering Effort

Building pipelines and managing tools consumes time and budget.

Low‑code dataflows and integrated services reduce complexity.

Siloed Analytics

Reporting and data engineering are disconnected, slowing insight delivery.

Fabric brings engineering, warehousing, and BI into one platform.

Limited AI Readiness

AI and Copilot initiatives stall due to poor data foundations.

Fabric provides AI‑ready datasets with governance built in.

Complex Licensing

Multiple tools mean multiple licences and fragmented costs.

Fabric simplifies costs with a single capacity model.

Governance Gaps

Security and compliance policies are inconsistent across tools.

Unified governance keeps policies consistent across the estate.
Core Workloads

Fabric Capabilities

Fabric brings multiple analytics workloads into one platform.

Data Engineering

Build and manage pipelines with Spark, notebooks, and Dataflows Gen2.

Pipelines
Spark notebooks
Dataflows Gen2
Transformation
Data Engineering

Data Warehouse

Modern cloud warehouse with T‑SQL, performance optimisation, and scale.

SQL analytics
Auto‑scaling
Cross‑database queries
Time travel
Data Warehouse

Real‑Time Analytics

Stream and analyse data with low latency and instant dashboards.

Event streams
KQL queries
Real‑time dashboards
Alerts
Real‑Time Analytics
Use Cases

Where Fabric Delivers Value

Practical use cases for unifying data and accelerating analytics.

Modern Data Platform

Replace legacy warehouses with a unified, cloud‑native platform.

Unified stack
Lower costs
Better governance
Future‑proofing
All Industries

Real‑Time Operations

Monitor production, logistics, or service delivery in near real time.

Live visibility
Faster response
Reduced downtime
Operational control
Manufacturing, Logistics

Customer 360

Unify CRM, web, and transaction data for a complete customer view.

Better segmentation
Improved retention
Personalised journeys
Revenue growth
Retail, Services

Financial Consolidation

Bring together multi‑entity data for consolidated reporting.

Faster close
Fewer errors
Audit readiness
Reliable reporting
Finance

Predictive Maintenance

Combine IoT and operational data to predict failures.

Reduced downtime
Lower maintenance cost
Better planning
Improved reliability
Manufacturing

Regulatory Reporting

Streamline compliance reporting with governed, trusted data.

Consistent data
Audit trails
Reduced effort
Lower risk
Financial Services
Platform Capabilities

Built for Unified Analytics

A single platform for engineering, warehousing, and BI.

OneLake Foundation

A single data lake for every workload, reducing duplication and complexity.

  • Single storage layer
  • Shared data access
  • Reduced duplication
  • Simplified management
OneLake Foundation

Unified Governance

Consistent security and compliance across engineering, warehousing, and BI.

  • Role‑based access
  • Audit logging
  • Policy consistency
  • Data lineage
Unified Governance

AI‑Ready Data

Prepare datasets for Copilot and ML use cases with minimal effort.

  • Clean datasets
  • Model readiness
  • Semantic models
  • Faster AI use cases
AI‑Ready Data

Power BI Integration

Fabric includes Power BI for dashboards and self‑service reporting.

  • DirectLake mode
  • Semantic models
  • Dashboards
  • Self‑service analytics
Power BI Integration
Built for SMBs

Why UK Growing Businesses Choose Fabric

Fabric provides enterprise‑grade data capabilities without the enterprise complexity.

Start with High‑Impact Data

Focus on a few priority datasets before expanding.

Lower Total Cost

One capacity model reduces licensing complexity and cost.

Rapid Time to Value

Deliver usable datasets and reports in weeks.

Data platform planning

Scale as You Grow

Fabric scales from mid‑market needs to enterprise workloads.

AI‑Ready Foundation

Prepare for Copilot and ML without rebuilding your stack.

Secure by Design

Governance and security are built into the platform.

Proven Results

The Business Impact of Fabric

Organisations using Fabric see lower cost and faster insight delivery.

90%
less
data duplication
40%
lower
total cost of ownership
10x
faster
AI adoption
1
platform
for all data workloads
Unified analytics platform
Unified Platform
Real-time analytics
Real‑Time Insights
Data engineering
Data Engineering
Our Approach

How We Deliver Fabric

We deliver Fabric in phases, starting with a focused foundation and scaling over time.

1

Assessment & Roadmap

Review your data estate and define the best adoption path.

2

Foundation Build

Set up OneLake, governance, and core data pipelines.

3

Analytics Delivery

Deliver dashboards and reporting on the unified data platform.

4

Scale & Optimise

Expand workloads, add real‑time analytics, and optimise performance.

Fabric workshop
FAQ

Frequently Asked Questions

Common questions about Microsoft Fabric for UK businesses.

What is Microsoft Fabric?

Microsoft Fabric is a unified analytics platform that combines data engineering, data warehousing, real‑time analytics, and Power BI on a single SaaS foundation with OneLake storage.

Do we need Fabric if we already use Power BI?

Not always. Many organisations start with Power BI and move to Fabric as their data engineering and warehousing needs grow. Fabric provides the broader data platform around Power BI.

Can Fabric replace Azure Synapse or Databricks?

In many cases, yes. Fabric consolidates capabilities that previously required multiple tools, but we assess fit based on your existing architecture and requirements.

How long does Fabric implementation take?

An initial Fabric foundation can be delivered in 4–8 weeks, depending on data sources and complexity.

Is Fabric secure and compliant?

Yes. Fabric uses Microsoft’s security, compliance, and governance standards with role‑based access, auditing, and data lineage.

Modern office space

Ready to unify your data platform?

Let’s design a Fabric roadmap that delivers value quickly and scales with you.

Our initial consultation is complimentary. We'll discuss your objectives and provide honest guidance on next steps.