DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021)
Series title:
DfX
Conference title:
Symposium Design for X (32., 2021, Virtuell)
Venue:
Virtuell
Year of conference:
2021
Date of conference beginning:
27.09.2021
Date of conference ending:
28.09.2021
Publisher:
Design Society
Year:
2021
Pages from - to:
10
Language:
Englisch
Keywords:
DFX ; Data Mining ; Data-driven Methods ; Machine Learning ; Product Development
Abstract:
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 potential 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 analysis process, the prerequisites are elaborated and, subsequently, levers for their design are derived. «
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 potential 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... »