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Real-time passenger dashboards on a governed lakehouse

Replaced fragmented spreadsheet reporting with a Databricks lakehouse and live operational dashboards.

Hours to seconds
Reporting latency
40+ / week
Manual reports removed
10 weeks
Go-live

Challenge

Operations relied on manual spreadsheet exports that were hours out of date, making passenger-flow decisions reactive.

Outcome

A medallion-architecture lakehouse with real-time dashboards, giving operations teams live visibility and predictive passenger estimates.

The group’s operations teams were making decisions on data that was already stale by the time it reached them.

What we did

We ran a discovery assessment, then designed and delivered a medallion-architecture lakehouse on Databricks, with governed pipelines feeding real-time operational dashboards and a first predictive model for passenger flow.

The result

Operations moved from reactive to proactive, with live visibility across terminals and a platform ready to extend into further AI use cases.

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