The challenge:
A small start-up company with a large telematics data set derived from their mobile phone app wanted to explore commercial applications for their data.
How did we help:
Through the Data Spark scheme, the team undertook extensive data analysis and considered the feasibility of applying the results to 3 main areas: driver behaviour prior to a reported crash, underwriting/fraud detection and calculating driver safety scores.
The outcome:
Simulated in an immersive visualisation using the cutting-edge technology in the KPMG Data Observatory, this demonstration shows that a simple mobile phone app could prove to be just as powerful as the black box recorder. The visualisation tracks and analyses driver behaviour, allowing participants to see driver behaviour before a reported crash, the calculation of driver safety scores and typical driver journeys.
Key facts
- Custom built visualisation
- 200,000 journeys
- 7,000 users
- Proof of Concept
- Analytics derived from a Data Spark project