Case Study: ARTC cuts data engineering hours 80% and speeds insight 30% with Databricks
Key results
The challenge
The Australian Rail Track Corporation (ARTC) struggled with siloed data across systems serving over 150 applications, creating inefficiencies in managing its 8,500km rail network.
The solution
ARTC implemented the Databricks Data Intelligence Platform on Microsoft Azure to build an Enterprise Integration Data Platform on a cloud-based lakehouse architecture that unified data management and analytics.
“With multiple data sources and legacy systems putting a strain on our teams' ability to operate efficiently, we needed to implement a modern data architecture that would lay the foundation of our digital strategy.”
ASAndrew SimpsonNational Applications Manager, ARTC
The results, in context
ARTC reported an 80% reduction in data engineering hours, an 80% improvement in data ingestion speed, and 30% faster time to insight for freight logistics optimization.