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The relationships between definitions of big data, business intelligence and business analytics: a literature review

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  • Kenneth Mashingaidze
  • Judy Backhouse

Abstract

Advances in technology and increasing data volumes have led to new tools and techniques to exploit data and improve decision-making. Terms used to refer to these tools and techniques include big data (BD), business intelligence (BI) and business analytics (BA). Definitions of these terms are not agreed on. In particular, the terms are used as subsets or special cases of each other and this leads to confusion about their meaning and how they relate. This paper examines both academic and practitioner literature that deals with two or more of the terms to synthesise definitions and describe the relationships between them. BD is data with high volume, variety of sources and high velocity. BI is a set of tools and techniques to use data for decision-making. BA is an advanced form of BI. BD is data that can be used in both BI and BA.

Suggested Citation

  • Kenneth Mashingaidze & Judy Backhouse, 2017. "The relationships between definitions of big data, business intelligence and business analytics: a literature review," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 26(4), pages 488-505.
    • Handle: RePEc:ids:ijbisy:v:26:y:2017:i:4:p:488-505
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    Cited by:

    1. Estela Marine-Roig, 2019. "Destination Image Analytics Through Traveller-Generated Content," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    2. Zabaleta, Mercedes Elena Martínez & Luna, Raúl Enrique Rodríguez, 2023. "Inteligencia empresarial y su rol en la generación de valor en los procesos de negocios," Revista Tendencias, Universidad de Narino, vol. 24(1), pages 226-251, January.
    3. Iqbal, Kiram, 2023. "Acceptance conditions of algorithmic decision support in management," Junior Management Science (JUMS), Junior Management Science e. V., vol. 8(4), pages 887-925.

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