Products nowadays do not only consist of mechanical and electrical components but also of connectivity components. Connected products set up a feedback-loop and provide manufacturers with use phase data. Such data enables manufacturers to better understand how products are used, which could help to design products that better fit the actual use. The number of connected devices will increase, but there is little knowledge about problems that engineering companies face when using data analytics for product development. The literature review and the experience gained through case studies highlight that inexperienced companies especially run into problems at the planning phase even before data analytics can start. The findings emphasize that companies need to invest time to develop a data strategy beforehand. However, an analysis of existing process models for data initiatives reveals that only little support is provided for the systematic development of a data strategy. Therefore, this paper derives a framework for a process model that supports companies in developing a data strategy for product development. The paper ends with suggestions for future research.     «

Products nowadays do not only consist of mechanical and electrical components but also of connectivity components. Connected products set up a feedback-loop and provide manufacturers with use phase data. Such data enables manufacturers to better understand how products are used, which could help to design products that better fit the actual use. The number of connected devices will increase, but there is little knowledge about problems that engineering companies face when using data analytics fo...     »