Author(s)

Xiuhui Kui ¹

Affiliation(s)

¹ School of Business and Economic Management, Huzhou Vocational and Technical University, Huzhou, China

Corresponding Author

Xiuhui Kui

ABSTRACT

With the advent of the era of big data, big data has set off a huge wave of change in many fields. The explosive growth of data has brought enormous pressure to enterprises, and has also spawned the development of data-driven business. The core capability of e-commerce information system is to process, analyze and mine big data. Based on the role of big data analysis in promoting marketing in e-commerce, this paper first analyzes the characteristics of big data in e-commerce, and then in-depth discusses the relationship between e-commerce and big data analysis, and discusses the significance and significance of big data analysis in e-commerce effect. This paper puts forward the construction ideas and plans of the comprehensive practice platform for e-commerce big data analysis, and focuses on the core technology of the platform and the corresponding data analysis process modules. Secondly, this paper focuses on expounding the index system of e-commerce big data analysis. Through the research on the index system of e-commerce big data analysis, the big data-driven e-commerce operation can be refined, and the operation effect and performance can be improved. Finally, this paper focuses on some application strategies of big data analysis in e-commerce, in order to provide a reference for promoting the development of e-commerce under the background of big data.

KEYWORDS

Big data analysis, E-commerce Marketing, E-commerce development strategy

CITE THIS PAPER

Xiuhui Kui, Research on the Application of Big Data analysis in E-Commerce. Information Systems and Economics (2022) Vol. 3: 49-57. DOI: http://dx.doi.org/10.23977/infse.2022.030408.

REFERENCES

[1] Agarwal, R. Weill, P. (2012) "The benefts of combining data with empathy," MIT Sloan Management Review, vol. 54, pp. 35.
[2] Davenport, T. H. Barth, P. Bean, R. (2012) "How 'Big Data' is Different," MIT Sloan Management Review, vol.54, pp.43–46.
[3] Wixom, B.H. Yen, B. Relich, M. (2013) "Maximizing value from business analytics," MIS Quarterly Executive, vol. 12, pp. 111–123.
[4] Kiron, D. Prentice, P.K. Ferguson, R. B (2014) "Raising the bar with analytics," MIT Sloan Management Review, vol.55, pp.29–33.
[5] Han Yaofeng. (2021) "Analysis of 'the Influence of Large data Analysis on marketing in E-commerce," Mall Modernization, vol.15, pp.38-40.
[6] Chen Yue. (2017) "The significance of Big Data analysis in promoting e-commerce marketing," Industry & technology forum, vol.16, pp.98-99.
[7] Li Tao, Ma Tingting. (2017) "The significance of Big Data analysis in promoting e-commerce marketing," National Circulation Economy, vol.8, pp. 14-15.
[8] Wang Ruomei, Fu Zhengyun. (2019) Research on the role of big data analytics in promoting marketing in e-commerce. China management informationization, vol.20, pp.140-141.
[9] Zou Qianying, Luo LAN. (2017) "Construction of integrated practice platform for e-commerce Big Data analysis," Experimental technology and management, vol.11, pp.198-201.
[10] Lin Min, Gong Rangsheng. (2015) "Research on Index System Based on E-commerce Big Data Analysis," Henan Science and Technology, vol. 8, pp.1-3.

Sponsors, Associates, and Links

---

• Accounting, Auditing and Finance
  
  
• Industrial Engineering and Innovation Management
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Financial Engineering and Risk Management
  
  
• Accounting and Corporate Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics