The dashboard analyzes revenue, customers, products, stores, and returns, providing key insights such as $1.76M total revenue, $1.05M total profit with a 59.7% margin, over 10K customers segmented by demographics and priority, 1,560 products with mid-tier items driving most sales, and a low return rate of just ~1%. It demonstrates my skills in data modeling, DAX calculations, and visualization storytelling, turning raw datasets into actionable business insights. You can also view the full dashboard and report in PDF format on this website.

This dashboard provides a concise overview of customer purchasing behavior and business performance. It analyzes data from 648 customers, highlighting key metrics such as average purchase amount ($58.63) and average review rating (3.72). The dashboard visualizes customer segments by subscription status, gender, and age group, along with sales and revenue by product category. It also examines customer shipping preferences to better understand buying patterns. The full project, including data analysis and supporting materials, is available on GitHub athttps://github.com/yehtethein/customer_behavior_analysis/.