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Transport & logistics · Data foundations

A data mesh across 11 business units

A leading transportation company

3×faster analytics at headquarters across regions
3×

Faster analytics

20%

Savings from process optimisation

30+

AI use cases deployed

The challenge

Data was siloed across 11 business units, so headquarters could not see across the group and advanced analytics stalled.

What we built
  • A shared analytics workspace on Azure for business users, engineers, data scientists and operators.
  • A dedicated data lake for each business unit.
  • A central data catalogue linked to organisation-wide sources.
The results
  • 3× faster analytics for multiple regions.
  • 20% savings from process optimisation.
  • 30+ high-priority AI use cases deployed quickly.
Similar challenge?

Let's talk about what this could look like in your business.