Customer segmentation analysis of e-commerce big data

Abstract

E-Commerce is a major area of application for generating Big Data and the data generated by E-Commerce is increasing rapidly. Now a days, almost all companies selling their products on E-Commerce platforms. The objective of every company is to improve their business and maximize their profits. As tough competition has become the norm of the day, every company works relentlessly to sustain their existing customer base and to acquire new customers, which intern increases their sales volume. To do so, each transaction generated by the company should be recorded so that the data can be further user for analysis. Analyzing such data has become a primary resource for organizations to improve upon their business. The current study analyzes the Customer Segmentation on a sample of Big Data generated by an E-Commerce firm. Customer Segmentation is performed based on the revenue and number of invoices generated on monthly, weekly and on a particular point of time in a day basis. Further this paper focuses on different Segmentation approaches proposed by different researches by analyzing the sample of an E-Commerce Big Data.