Sensing the Future: Designing Predictive Analytics with Sensor Technologies

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    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.
    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.
    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)
    Date2015
    Article number54
    ISBN (Print)9783000502842
    DOIs
    StatePublished - 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
    http://www.ecis2015.eu/

    Conference

    ConferenceThe 23rd European Conference on Information Systems (ECIS) 2015
    Number23
    LocationWestfälische Wilhelms-Universität Münster
    CountryGermany
    CityMünster
    Period26/05/201529/05/2015
    Internet address
    SeriesProceedings of the European Conference on Information Systems
    ISSN0000-0034

    Keywords

    • Predictive analytics
    • Design science research
    • Forecasting
    • Sensors

    Cite this

    Furtak, S., Avital, M., & Ulslev Pedersen, R. (2015). Sensing the Future: Designing Predictive Analytics with Sensor Technologies. In J. Becker, J. vom Brocke, & M. De Marco (Eds.), ECIS 2015 Proceedings [54] Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the European Conference on Information Systems, DOI: 10.18151/7217323
    Furtak, Simon ; Avital, Michel ; Ulslev Pedersen, Rasmus. / Sensing the Future : Designing Predictive Analytics with Sensor Technologies. ECIS 2015 Proceedings. editor / Jörg Becker ; Jan vom Brocke ; Marco De Marco. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2015. (Proceedings of the European Conference on Information Systems).
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    abstract = "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.",
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    Furtak, S, Avital, M & Ulslev Pedersen, R 2015, Sensing the Future: Designing Predictive Analytics with Sensor Technologies. in J Becker, J vom Brocke & M De Marco (eds), ECIS 2015 Proceedings., 54, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the European Conference on Information Systems, Münster, Germany, 26/05/2015. DOI: 10.18151/7217323

    Sensing the Future : Designing Predictive Analytics with Sensor Technologies. / Furtak, Simon; Avital, Michel; Ulslev Pedersen, Rasmus.

    ECIS 2015 Proceedings. ed. / Jörg Becker; Jan vom Brocke; Marco De Marco. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2015. 54.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    Furtak S, Avital M, Ulslev Pedersen R. Sensing the Future: Designing Predictive Analytics with Sensor Technologies. In Becker J, vom Brocke J, De Marco M, editors, ECIS 2015 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2015. 54. (Proceedings of the European Conference on Information Systems). Available from, DOI: 10.18151/7217323