Sensing the Future: Designing Predictive Analytics with Sensor Technologies

Simon Furtak, Michel Avital, Rasmus Ulslev Pedersen

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    As digital technologies become prevalent and embedded in the environment, "smart" everyday objects like smart phone and smart homes have become part and parcel of the human enterprise. The ubiquity of smart objects that produce ever-growing streams of data presents both challenges and opportunities. In this paper, we argue that extending these data streams, referred to as "predictive analytics", provides a solid basis for the design and development of IS artefacts that can generate additional value. Subsequently, we introduce a model for Designing Information Systems with Predictive Analytics (DISPA), extending Design Science Research specifically towards predictive analytics. The model is evaluated based on a case study of MAN Diesel and Turbo, a leading designer of marine diesel engines. The case illustrates that the framework provides useful guidelines for developing environment-specific sensor based predictive models that can out-perform the traditional state of the art predictive methods especially in volatile and uncertain environments.
    Original languageEnglish
    Title of host publicationECIS 2015 Proceedings
    EditorsJörg Becker, Jan vom Brocke, Marco De Marco
    Number of pages14
    Place of PublicationAtlanta, GA
    PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publication date2015
    Article number54
    ISBN (Print)9783000502842
    Publication statusPublished - 2015
    EventThe 23rd European Conference on Information Systems (ECIS) 2015 - Westfälische Wilhelms-Universität Münster, Münster, Germany
    Duration: 26 May 201529 May 2015
    Conference number: 23


    ConferenceThe 23rd European Conference on Information Systems (ECIS) 2015
    LocationWestfälische Wilhelms-Universität Münster
    Internet address
    SeriesProceedings of the European Conference on Information Systems


    • Predictive analytics
    • Design science research
    • Forecasting
    • Sensors

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