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Developing Data Analytics to Improve Services in a Mechanical Engineering Company

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Knowledge Management in Organizations (KMO 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 185))

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Abstract

Business today must apply analytics to create new and incremental value. In today’s economy, it is imperative that businesses develop and enhance their understanding of how digital data is collected and analyzed in order to generate new or incremental profitable revenue or to reduce cost. The purpose of this paper is to report on one in-depth case of a mechanical engineering company introducing a process how data analytics (DA) could be used in the creation of new services. Manufacturing firms are under increasing pressure to create industrial services that offer unique contributions to long term profitability. This paper increases understanding of how the mechanical engineering company can create new services by using big data, through servitization.

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Author information

Authors and Affiliations

  1. Seinäjoki University of Applied Sciences, Seinäjoki, Finland

    Anne-Maria Aho

  2. Staffordshire University, Stafford, UK

    Lorna Uden

Authors
  1. Anne-Maria Aho
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  2. Lorna Uden
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Corresponding author

Correspondence to Anne-Maria Aho .

Editor information

Editors and Affiliations

  1. Staffordshire University, Staffordshire, United Kingdom

    Lorna Uden

  2. Universidad Santa Maria, Santiago, Chile

    Darcy Fuenzaliza Oshee

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

  4. Universidad Santa Maria, Santiago, Chile

    Dario Liberona

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© 2014 Springer International Publishing Switzerland

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Aho, AM., Uden, L. (2014). Developing Data Analytics to Improve Services in a Mechanical Engineering Company. In: Uden, L., Fuenzaliza Oshee, D., Ting, IH., Liberona, D. (eds) Knowledge Management in Organizations. KMO 2014. Lecture Notes in Business Information Processing, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-08618-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-08618-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08617-0

  • Online ISBN: 978-3-319-08618-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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