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From Data Science to Value Creation

  • Jürg MeierhoferEmail author
  • Kevin Meier
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 279)

Abstract

Value creation with data science methodologies generates important insights. However, these insights do not systematically provide service value to customers. Therefore, we show a systematic approach to use data science for the process of service design. We develop a structure of data science methodologies in the dimensions of their potential to create service benefit. This enables the mapping of the value contribution of the data science tools on the different perspectives and phases of the service design process. Based on this mapping, a direct link can be established between the outcomes of the data science methodologies and the value drivers for the customer. The resulting new methodology allows the systematic value creation from insights generated by data science.

Keywords

Service science Data science Service design Data product design Data-driven value creation 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Data Analysis and Process DesignZurich University of Applied SciencesWinterthurSwitzerland

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