Title: From data science to value creation
Authors : Meierhofer, Jürg
Meier, Kevin
Proceedings: Exploring Services Science : 8th International Conference, IESS 2017, Rome, Italy, May 24-26, 2017, Proceedings
Pages : 173
Pages to: 181
Editors of the parent work: Za, Stefano
Drăgoicea, Monica
Cavallari, Maurizio
Publisher / Ed. Institution : Springer
Publisher / Ed. Institution: Cham
Issue Date: Apr-2017
License (according to publishing contract) : Licence according to publishing contract
Series : Lecture Notes in Business Information Processing
Series volume: 279
Type of review: Peer review (Publication)
Language : English
Subjects : Service design; Data-driven value creation; Data science; Data product design
Subject (DDC) : 005: Computer programming, programs and data
650: Management
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 cre- ate 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 estab- lished 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. 
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Publication type: Conference Paper
DOI : 10.1007/978-3-319-56925-3_14
ISBN: 978-3-319-56924-6
URI: https://link.springer.com/chapter/10.1007/978-3-319-56925-3_14
https://digitalcollection.zhaw.ch/handle/11475/5741
Appears in Collections:Publikationen School of Engineering

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