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Bringing dark data into the light: Illuminating existing IoT data lost within your organization

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  • Gimpel, Gregory

Abstract

Companies are making substantial investments in placing sensors out in the field and within products and equipment. These Internet-of-Things (IoT) technologies provide an unprecedented opportunity to harness data-driven insights to improve business performance. While the IoT is often framed as a next-generation technology, many businesses already are awash in these data because their existing operational technologies and other equipment generate substantial amounts of data. These data, along with the insights they generate, remain dark—out of sight and unused. Many managers are unaware of the existence and uses of such data. To shed light on the business opportunities afforded by exploiting dark data, this article provides managerial advice and demonstrative case studies in four strategic categories: improving returns on assets, reengaging customers, creating new products and business lines, and transforming business models.

Suggested Citation

  • Gimpel, Gregory, 2020. "Bringing dark data into the light: Illuminating existing IoT data lost within your organization," Business Horizons, Elsevier, vol. 63(4), pages 519-530.
    • Handle: RePEc:eee:bushor:v:63:y:2020:i:4:p:519-530
    DOI: 10.1016/j.bushor.2020.03.009
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    References listed on IDEAS

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    1. Saarikko, Ted & Westergren, Ulrika H. & Blomquist, Tomas, 2017. "The Internet of Things: Are you ready for what’s coming?," Business Horizons, Elsevier, vol. 60(5), pages 667-676.
    2. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
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    Cited by:

    1. Kurtz, Julian & Zinke-Wehlmann, Christian & Lugmair, Nina & Schymanietz, Martin & Roth, Angela, 2023. "Characterising smart service systems – Revealing the smart value," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 7(2), pages 112-128.
    2. Maria Vincenza Ciasullo & Raffaella Montera & Emilia Romeo, 2023. "What about Data-Driven Business Models? Mapping the Literature and Scoping Future Avenues," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(8), pages 1-1, February.
    3. Baltuttis, Dennik & Häckel, Björn & Jonas, Claudius Michael & Oberländer, Anna Maria & Röglinger, Maximilian & Seyfried, Johannes, 2022. "Conceptualizing and Assessing the Value of Internet of Things Solutions," Journal of Business Research, Elsevier, vol. 140(C), pages 245-263.

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