Using Data and Analytics to Power the Connected Car
Dr. Johann Prenninger Head of Field Data Analytics, BMW
Discover how combining different data sets ( consumer feedback , the logs of TSPs and the onboard systems of the car) can present a much clearer picture of feature performance than seen in the past.
Get an insight into the quantity and frequency of data that is needed to maintain a system that offers predictive vehicle maintenance and driver behaviour profiling, presenting an outstanding safety service to consumers.
Sync analytics between app, car and back-end systems to quickly discover driving-critical faults that can be communicated back to OEM design departments to rectify
Case study: How can OEMs leverage data fed back to them gain advantages? For example, analysing the wear and tear of potholes on a vehicle to design mechanical components to optimum performance