Using Data and Analytics to Power the Connected Car

BMW 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

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