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Big Data Usage in Retail Industry

Author

Listed:
  • Anna Timofeeva

    (University of Economics - Varna)

Abstract

This article is a review of the essence and application of Big Data and Analytics in the retail industry, including e-commerce. The vast and complex data generated nowadays is in the scope of the Big Data technologies. The computerbased automation of data management and analysis enables business organizations to discover hidden models and useful knowledge which refer to the business processes. The article highlights data-driven and analysis-based approaches to commerce and identifies the leading software solutions and their capabilities. The main aim is to bring out the business benefits of using Big Data and Analytics technologies in the retail industry. In the digital era the speed and breadth of knowledge turnover within the economy increases and the advantages become more accessible for the industries.

Suggested Citation

  • Anna Timofeeva, 2019. "Big Data Usage in Retail Industry," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 8(2), pages 75-82, August.
    • Handle: RePEc:vra:journl:v:8:y:2019:i:2:p:75-82
    DOI: 10.36997/IJUSV-ESS/2019.8.2.75
    as

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    References listed on IDEAS

    as
    1. Stephan Kolassa, 2019. "Forecasting the Future of Retail Forecasting," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 52, pages 11-19, Winter.
    2. Marshall Fisher & Ananth Raman, 2018. "Using Data and Big Data in Retailing," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1665-1669, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Big Data; Artificial Intelligence; Analytics; Retail Industry;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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