Microsoft Fabric data platform icon
Microsoft data platform

Microsoft Fabric

Unify data integration, engineering, warehousing, real-time intelligence, analytics and AI-ready data on a governed Microsoft platform built around OneLake.

Data and analytics specialists working with Microsoft Fabric
Fabric capabilities

Bring the data estate together around one analytics foundation.

Agilitz uses Fabric to connect operational data, engineering, analytics and AI so teams can move from fragmented reporting to governed, reusable data products.

OneLake and lakehouse icon

OneLake & Lakehouse

Create a shared data foundation that supports reuse, discovery and governed access across analytics workloads.

Fabric Data Factory icon

Data Factory

Connect, ingest, orchestrate and transform data from cloud, SaaS, legacy and operational sources.

Fabric notebook icon

Data engineering & data science

Prepare, transform and model data with engineering and data-science workflows on the same foundation.

Fabric Data Warehouse icon

Data Warehouse

Build governed analytical stores and reusable data models for finance, operations and enterprise reporting.

Fabric Real-Time Intelligence icon

Real-Time Intelligence

Capture and analyse data in motion so operational signals can drive timely insight and action.

Power BI icon

Power BI

Turn governed data into semantic models, executive reporting and operational insight across the organisation.

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Business outcomes

From scattered data to a trusted intelligence foundation.

  • Reduce fragmented data and duplicated pipelines
  • Create governed, reusable data products across functions
  • Accelerate analytics and real-time operational insight
  • Establish an AI-ready foundation for Copilot and agents
DATAFabricINTELLIGENCE
Trusted data
Faster insight
Real-time action
AI-ready foundation
Agilitz approach

Business first. Platform ready. AI enabled.

Fabric is treated as part of the operating model — connected to source systems, governance, analytics, security and downstream AI experiences.

Design the foundation

Define the target architecture, domains, governance, security, data products and migration roadmap.

Build & connect

Implement integration, lakehouse, warehouse, semantic models, reporting and real-time workloads.

Scale with control

Embed monitoring, quality, ownership and adoption so data remains trusted as use expands.

Get in touch

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