Sensing the Future: Designing Predictive Analytics with Sensor Technologies

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    Abstrakt

    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.
    OriginalsprogEngelsk
    TitelECIS 2015 Proceedings
    RedaktørerJörg Becker, Jan vom Brocke, Marco De Marco
    Antal sider14
    Udgivelses stedAtlanta, GA
    ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publikationsdato2015
    Artikelnummer54
    ISBN (Trykt)9783000502842
    DOI
    StatusUdgivet - 2015
    BegivenhedThe 23rd European Conference on Information Systems (ECIS) 2015 - Westfälische Wilhelms-Universität Münster, Münster, Tyskland
    Varighed: 26 maj 201529 maj 2015
    Konferencens nummer: 23
    http://www.ecis2015.eu/

    Konference

    KonferenceThe 23rd European Conference on Information Systems (ECIS) 2015
    Nummer23
    LokationWestfälische Wilhelms-Universität Münster
    LandTyskland
    ByMünster
    Periode26/05/201529/05/2015
    Internetadresse
    NavnProceedings of the European Conference on Information Systems
    ISSN0000-0034

    Emneord

    • Predictive analytics
    • Design science research
    • Forecasting
    • Sensors

    Citationsformater

    Furtak, S., Avital, M., & Ulslev Pedersen, R. (2015). Sensing the Future: Designing Predictive Analytics with Sensor Technologies. I J. Becker, J. vom Brocke, & M. De Marco (red.), ECIS 2015 Proceedings [54] Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the European Conference on Information Systems https://doi.org/10.18151/7217323