Big data in e-commerce

Gevorgyan Levon
Postgraduate Student, Department of Economics and Management, European Regional Academy of the Caucasus (Armenia),e-mail:levongevdav@gmail.com

Cite this article:

Gevorgyan, L. (2017), Big data in e-commerce. Ed.: М.D. Baldzhy (ed.-in-ch.) and others [Systema pensiinoho zabezpechennia Ukrainy ta yevrointehratsiini protsesy; za red.: М. D. Baldzhy (gol. red.)], Scientific Bulletin of the Odessa National Economic University (ISSN 2313-4569), Odessa National Economics University, Odessa, No. 6(248), pp. 25-32.

Abstract

The article explores the new and innovative solutions of combining e-commerce and big data. It discovers issues which could exist in modern e-commerce firms and brings examples of companies which have already dealt with such problems. Important part of using cloud services for e-commerce firms is the big data analysis-related solutions they offer. Firms can apply these services to do clickstream analysis, real-time analytics, log analysis, predictive analytics etc. Besides, after appropriate big data analysis new correlations can be found which were unknown before. Each of above mentioned usages has real potential to bring electronic commerce sphere companies up and give them significant competitive advantages. Smart usage of big data could even register exponential growth of customers which will lead to more profit. So, the main idea of this article is to show that running business in cloud and using big data analytics tools would be good decision for e-commerce companies, and they’ll be able to get big benefits from it.

Keywords

e-commerce, electronic commerce, big data, e-commerce tools, Google, Amazon.

JEL classification:F100 M290

UD classification:339.16

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