Descriptive analytics and data visualization in e-commerce

P.S. Varsha and Anjan Karan

Chapter 6 in Handbook of Big Data Research Methods, 2023, pp 86-104 from Edward Elgar Publishing

Abstract: The main objective of this study is to know the impact and benefits of descriptive analytics in the e-commerce industry. The research has been carried out to explore all the opportunities and possibilities of descriptive analytics through data visualization in Flipkart to increase organizational performance. The research is based on primary data with descriptive analysis incorporated and quantitative study. The paper also explains the various possible ways to tackle the challenges and minimize the issues by using automation. The research outcome reveals that descriptive analytics helps e-commerce to make strategic decisions that contribute the growth and enriches customer satisfaction. Future researchers can examine the study about prescriptive and predictive analysis by using real-time cases how to sustain in pandemic situations by proposing models, increase in customer involvement, and organization success.

Keywords: Business and Management; Economics and Finance; Innovations and Technology; Research Methods (search for similar items in EconPapers)
Date: 2023
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