Case Study: Jaguar Land Rover accelerates vehicle intelligence and improves reliability with Elastic

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Preview of the Jaguar Land Rover Case Study

Jaguar Land Rover (JLR) accelerates vehicle intelligence with Elastic

Jaguar Land Rover (JLR) needed a way to manage the massive data demands behind its connected vehicles, product lifecycle management, and global manufacturing operations. With more than 10,000 engineers relying on fast, accurate information, JLR turned to Elastic, including Elasticsearch and Kibana, to improve monitoring, alerting, and data integration across its vehicle and production systems.

Elastic helped JLR automatically pull and analyze data from multiple sources, monitor 24/7 hardware-in-the-loop test rigs, and send exception-based alerts to improve reliability and reduce downtime. With Elastic, JLR improved software testing, increased manufacturing efficiency, and gained better visibility into asset utilization and supply-chain transactions, helping accelerate innovation and reduce production errors.


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Jaguar Land Rover

Simon Ansell

Senior Director of Design, Engineering and Quality IT


Elastic

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