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- W4366374706 abstract "Big data analytics usage in e-commerce has received increasing attention in the contemporary world. The notion of big data analytics in e-commerce is not sufficiently investigated, despite its growing relevance, which restricts the theoretical and practical advancement of the field. Data science has helped e-commerce companies to be more data-driven and make better business decisions. This endeavor examines the impact of big data analytics and data science in the ecommerce industry by looking at previous research on the subject. The research proposes an interpretative framework that investigates the definitional elements, special traits, kinds, business values, and difficulties of big data analytics inside the context of e-commerce. Additionally, the paper highlights the need for further research in the areas of theory and practice and opens the conversation for future research opportunities. Overall, the findings of the research bring together different concepts of big data analytics to deliver a richer understanding of the presentations in the e-commerce industry." @default.
- W4366374706 created "2023-04-21" @default.
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- W4366374706 date "2023-03-03" @default.
- W4366374706 modified "2023-10-16" @default.
- W4366374706 title "E-Commerce: Reach Customers and Drive Sales with Data Science and Big Data Analytics" @default.
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- W4366374706 doi "https://doi.org/10.1109/inocon57975.2023.10101132" @default.
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