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Finance & Supply Chain

Manufacturing Analytics Consolidation

One governed Microsoft Fabric semantic layer across finance and supply chain — replacing fragmented legacy models with a single source of truth.

Microsoft FabricSSASSQL ServerPower BI
Finance & Supply Chain illustration

The challenge

Finance and supply chain were each running their own cubes on legacy SSAS — same metrics, different numbers, hours wasted in reconciliation meetings.

Our approach

How we structured the work, end to end.

01
Audited the legacy SSAS and SQL Server models to identify conflicting metric definitions.
02
Modelled a single conformed semantic layer in Fabric covering both finance and supply chain.
03
Migrated the lakehouse to Direct Lake and rebuilt the Power BI reports against the unified model.
04
Decommissioned the legacy cubes once the new model was running parallel and reconciled.

The architecture

From source to insight, in one governed flow.

01
SSAS / SQL Server
02
Fabric Lakehouse
03
Unified Semantic Model
04
Power BI

Outcome

What changed
Finance and supply chain now read the same numbers from the same model. Reconciliation meetings are shorter — sometimes they don't happen at all.

Related work

Other engagements with a similar shape.

Process × Intelligence

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