Voraussetzungen für den Einsatz datengetriebener Methoden in der Produktentwicklung

Data mining and machine learning are successfully applied in many business areas such as marketing or production. Due to the increasing complexity in data and information flows and the large amount of data, data-driven solutions have also great po-tential in product development. Nevertheless, many companies are not able to integrate data-driven methods into their product development process. In order to support the application of data-driven methods, this paper identifies necessary prerequisites for their integration in product development. Based on a data analy-sis process, the prerequisites are elaborated and, subsequently, levers for their design are derived.