Our client, a large-scale automotive components manufacturer, had recently implemented a real-time health feedback solution for fleets of vehicles using their components. The system used IoT engine and sub-system data points to create real-time notifications of issues with the vehicles along with recommendations for correcting those issues. This system was implemented in Azure using Event Hub functionality and custom development.
While this solution was successful, it was also limited to only reactively responding to warnings and errors as they occurred. The company needed an analytics solution to create functionality for developing predictive models that provide meaningful proactive recommendations to the fleets.