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Data

Fabric

A unified analytics platform on Microsoft Fabric.

Bring data engineering, warehousing and BI together on one governed platform — a OneLake lakehouse, reliable pipelines, semantic models and Power BI, ready to scale across your organization.

Fixed-scope engagement⏱ 5–8 weeks✓ 100% knowledge transfer
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Why Microsoft Fabric?

One platform, end to end

Fabric unifies the entire analytics stack on OneLake — no stitching together disparate tools, no copies of data, one governance model.

Data silos

Sources scattered across apps, databases and spreadsheets with no single source of truth.

Tool sprawl

Separate ETL, warehouse, lake and BI tools that are costly to integrate and govern.

Slow insight

Reports take weeks and data is stale by the time it reaches decision-makers.

Weak governance

No consistent security, lineage or quality across the estate.

How we deliver

A proven, four-phase program

01

Discover

Week 1
Activities
  • Map data sources, owners and use cases
  • Define target outcomes and KPIs
  • Assess data quality and volumes
  • Set governance and security requirements
Deliverables
  • Use-case & source inventory
  • Target outcomes & KPIs
  • Discovery findings
02

Architect

Week 2
Activities
  • Design the OneLake lakehouse & Medallion model
  • Define semantic models and workspaces
  • Plan pipelines and orchestration
  • Design governance, security and access
Deliverables
  • Lakehouse architecture
  • Governance & security model
  • Pipeline design
03

Build

Weeks 3–6
Activities
  • Build ingestion pipelines into OneLake
  • Implement Bronze/Silver/Gold transformations
  • Develop semantic models and Power BI reports
  • Apply governance, lineage and security
Deliverables
  • Working lakehouse & pipelines
  • Semantic models & reports
  • Governed, secured estate
04

Enable

Weeks 7–8
Activities
  • Validate data quality and performance
  • Train analysts and report authors
  • Document the platform and operating model
Deliverables
  • Validated platform
  • Analyst & admin training
  • 100% knowledge transfer
Scope & assumptions

Clear boundaries, set up front

Out of scope

  • ✕ Net-new source-system development
  • ✕ Advanced ML/AI model development
  • ✕ Ongoing managed data operations
  • ✕ Non-Microsoft analytics platforms

Key assumptions

  • ✓ Microsoft Fabric capacity available
  • ✓ Source-system access provided
  • ✓ Data owners available for discovery
  • ✓ Power BI licensing in place

Unify your data estate

Book a 30-minute intro call and we'll scope Fabric to your data.