Case Study: Porterbrook boosts fleet performance and predictive maintenance with Acora

Porterbrook boosts fleet performance and cuts downtime with Acora

Porterbrook, a leading UK train leasing company, faced a significant challenge with its data infrastructure. The vast amount of sensor data generated by its fleet was stored across disconnected systems, preventing integration and real-time analysis. This fragmentation hindered predictive maintenance and restricted Porterbrook's digital ambitions. Acora, through its group company Elastacloud, was engaged to design a modern data architecture to overcome this.

Acora implemented a solution using Microsoft Azure services, migrating all data streams into a consolidated Azure Data Lake. They deployed containerized microservices to streamline data flows and established real-time pipelines for advanced analytics. A custom web portal was developed to visualize performance indicators and provide AI-driven predictive maintenance forecasts. This new platform enabled Porterbrook to spot issues early, streamline maintenance, cut costs, reduce downtime, and extend the life of its assets, transforming its operations.

Porterbrook