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AHP Model for the Big Data Analytics Platform Selection

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  • Martin Lněnička

Abstract

Big data analytics refers to a set of advanced technologies, which are designed to efficiently operate and maintain data that are not only big, but also high in variety and velocity. This paper analyses these emerging big data technologies and presents a comparison of the selected big data analytics platforms through the whole data life. The main aim is then to propose and demonstrate the use of an AHP model for the big data analytics platform selection, which may be used by businesses, public sector institutions as well as citizens to solve multiple criteria decision-making problems. It would help them to discover patterns, relationships and useful information in their big data, make sense of them and to take responsive action.

Suggested Citation

  • Martin Lněnička, 2015. "AHP Model for the Big Data Analytics Platform Selection," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2015(2), pages 108-121.
    • Handle: RePEc:prg:jnlaip:v:2015:y:2015:i:2:id:64:p:108-121
    DOI: 10.18267/j.aip.64
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    References listed on IDEAS

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    1. Wei, Chun-Chin & Chien, Chen-Fu & Wang, Mao-Jiun J., 2005. "An AHP-based approach to ERP system selection," International Journal of Production Economics, Elsevier, vol. 96(1), pages 47-62, April.
    2. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
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