Collecting dynamically defined data from a fleet of vehicles helps you to gain new insights as needed. Additional value can be created by applying statistic methods, machine learning or big data analytics on such collected data. For example, early feedback loops can be implemented to monitor e.g. the launch of a new model series. Predictive maintenance is possible by collecting data indicating an imminent damage and new services can be offered based on vehicle data.