They design and develop vehicles from the Jaguar and Land Rover brands. They enlisted Nasstar to design and build a data platform so they could analyse vehicle data to derive actionable insights, which in turn would drive competitiveness and efficiency.
Jaguar Land Rover
We delivered one of the biggest and most complex cloud-native projects of its kind for JLR, using advanced features to provide data and analytics.
CLIENT
Jaguar Land Rover
INDUSTRY
Transport
SERVICE
Cloud
PARTNER
aws
The client
JaguarLandRover(JLR)isoneofBritain’sleadingmanufacturersofluxuryvehiclesandsportutilityvehicles.
The challenges
InasingleJLRvehicle,thereareupto150sensorsthatcollectdataaboutthebehaviourofthedriverandcarfunctionality.
This is then uploaded to a third-party platform in a data warehouse. JLR needed direct access to this data to carry out an in-depth analysis.
Our goal
Ground-breakingcloud-nativeconnectedcarplatformforsecure,accessiblevehicledata.
JLR wanted independent control over the data on their own platform to enable their data scientists to access it and perform associated data analytics. The insights from the data can then potentially be fed back into car design and engineering to improve the functionality and operation of vehicles, as well as increase production efficiency.
The outcome
Find out how our expertise could transform your organisation.
Data utilisation in design process
JLR's data scientists are now able to use the data generated from its large fleet of cars to feed into the design process. This data highlights problems as well as potential improvements and efficiencies, driving further innovation.
Fleet data generation
Currently standing at 250 million transactions a day, the fleet is predicted to generate over 800 million transactions per day within five years. JLR can now harness this information to make intelligent, data-driven decisions about everything from engine performance to fuel consumption and vehicle safety.
Analysis of new technology
The platform has also enabled valuable analysis of new technology in JLR's first all-electric car. Nasstar’s platform allows JLR to rapidly optimize key systems and quickly address any issues that may occur. It also enables JLR to integrate vehicle data with other useful data to gain a more well-rounded analysis.
Integration with external data
This other data could be the weather reports, for example, so JLR can see how their vehicles are performing in various weather conditions and spot any improvements which need to be made.