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Planning the Analysis of Use Phase Data in Product Planning

Published online by Cambridge University Press:  26 May 2022

M. Meyer ,
I. Wiederkehr ,
C. Koldewey  and
R. Dumitrescu
M. Meyer*
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany
I. Wiederkehr
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany
C. Koldewey
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany
R. Dumitrescu
Affiliation:
Heinz Nixdorf Institute, Paderborn University, Germany Fraunhofer IEM, Germany
*
maurice.meyer@hni.uni-paderborn.de

Abstract

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The ongoing digitalization of products offers product managers new potentials to plan future product generations based on data from the use phase instead of assumptions. However, product managers often face difficulties in identifying promising opportunities for analyzing use phase data. In this paper, we propose a method for planning the analysis of use phase data in product planning. It leads product managers from the identification of promising investigation needs to the derivation of specific use cases. The application of the method is shown using the example of a manufacturing company.

Keywords

data-driven designearly design phaseproduct planningbig data analysisindustrial data analytics
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 753 - 762
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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