With the rise of e-commerce, data-based learning of consumer behavior has become ever more vital. This research adopts a business intelligence approach to investigate e-commerce customer behavior based on a dataset containing 1,000 records and 28 customer attributes. Native technologies (Data pre-processing, exploratory data analysis, visualization to understand customer demographics, purchasing behavior, customer loyalty, customer satisfaction, level of engagement in marketing, etc. The results are reflected in differences in customer demographics, spending habits, shopping channels, and engagement with the brand. The importance of such integration (across different areas of consumer behavior) to generate useful and actionable insights for marketing, customer relationship management, and e-commerce management is thus presented in the study.
Keywords: Business Intelligence, Consumer Behavior, Data analysis, E-Commerce, customer analytics
