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A Data Analytics Framework for Business in Small and Medium-Sized Organizations

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Intelligent Decision Technologies 2017 (IDT 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 73))

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Abstract

Data Analytics and derived Data Mining are powerful approaches for the analysis of Big Data. There are a lot of commercial Data Analytics applications enterprises can take advantage of. In the past, many firms were still critical of Data Analytics. Through efforts made in the field of the establishment of process standards, managers might be convinced of Data Analytics advantages. Many small and medium-sized organizations are still exempt from this development. The main reasons are a lack of business prioritization, a lack of (IT) knowledge, and a lack of overview of Data Analytics issues. To reduce that problem, we developed a useful process framework. It resembles with existing frameworks, but is highly simplified and easy to use. To exemplify, how this framework can be put into action by the means of a retail site location analysis, we set up a case study as best practice. There we are focusing on Data Mining because it is the most important domain of Data Analytics.

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Author information

Authors and Affiliations

  1. Competence Center for Information Systems, Aalen University of Applied Sciences, Aalen, Germany

    Michael Dittert

  2. Business Administration, Aalen University of Applied Sciences, Aalen, Germany

    Ralf-Christian Härting, Christopher Reichstein & Christian Bayer

Authors
  1. Michael Dittert
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  2. Ralf-Christian Härting
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  3. Christopher Reichstein
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  4. Christian Bayer
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Corresponding authors

Correspondence to Ralf-Christian Härting or Christopher Reichstein .

Editor information

Editors and Affiliations

  1. Maritime University , Gdynia, Poland

    Ireneusz Czarnowski

  2. Bournemouth University and KES International, Poole, Dorset, United Kingdom

    Robert J. Howlett

  3. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Dittert, M., Härting, RC., Reichstein, C., Bayer, C. (2018). A Data Analytics Framework for Business in Small and Medium-Sized Organizations. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2017. IDT 2017. Smart Innovation, Systems and Technologies, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-319-59424-8_16

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  • DOI: https://doi.org/10.1007/978-3-319-59424-8_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59423-1

  • Online ISBN: 978-3-319-59424-8

  • eBook Packages: EngineeringEngineering (R0)

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