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dc.contributor.authorÖzcan, Deniz
dc.contributor.authorFellmann, Michael
dc.contributor.authorThomas, Oliver
dc.contributor.editorPlödereder, E.
dc.contributor.editorGrunske, L.
dc.contributor.editorSchneider, E.
dc.contributor.editorUll, D.
dc.date.accessioned2017-07-26T10:59:45Z
dc.date.available2017-07-26T10:59:45Z
dc.date.issued2014
dc.identifier.isbn978-3-88579-626-8
dc.identifier.issn1617-5468
dc.description.abstractThe increasing use of Information Systems (IS) in diverse business sectors and the growing degree of mobility has changed the traditional use of Information Technologies (IT) in the economy. While Big Data is a current issue in the telecommunication and trade sector, high data intensity is also in the service sector given. Especially in the Technical Customer Service (TCS) area, a large variety of information and data exist that are needed for a service process or that result from them. In this paper, a conceptual framework for Big Data-based Service Management of the TCS is presented revealing opportunities and improvements for both product and service development. These opportunities lead to generating value from the use of large datasets and applying advanced analytical methods to increase efficiency and service quality. Finally, with the help of the framework an optimized Product-Service-Lifecylce Management is envisioned.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-232
dc.titleTowards a big data-based technical customer service managementen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages187-198
mci.conference.locationStuttgart
mci.conference.date22.-26. September 2014


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