Data Mining as an Enabler for Customer Data Driven Vehicle Development; [数据挖掘推动客户数据驱动车辆的开发进程]

Data-driven product development is a key technology for systems engineering especially for consumer-oriented industries such as the automotive industry. The basic prerequisite for all data driven approaches is data itself. Due to the increasing networking capabilities of modern vehicles，automotive manufactures are able to record and store customer data in the form of internal vehicle bus signals. The challenge in using this data is that it is not designed for external use，but for internal communication to ensure the safety and functionality of the vehicle. Therefore，the main question is how to extract customer needs and consumer-relevant information within this data using the process of data mining （DM）. Consequently，in this paper，a literature review on the aforementioned use case is conducted. Based on the literature research，a DM simulation game is conducted to determine the suitability of existing DM processes in the area of requirements elicitation. Finally，a process extension is proposed that helps to systematically focus the DM process on customer-relevant information and thus accelerate the overall process. © 2021 Science Press. All rights reserved.