Power BI|Business Intelligence|E-commerce Analytics
This project is an end-to-end Business Intelligence solution developed using Microsoft Power BI
to analyze customer performance and product profitability using the Global Superstore dataset.
The dashboards focus on KPIs, segmentation analysis, and time-based trends to convert raw
transactional data into actionable business insights.
The objective of this analysis is to understand how different customers and regions contribute to sales, profitability, and overall business growth.
By identifying high-performing segments and trends, the business can make data-driven decisions to maximize revenue and improve customer targeting.
E-commerce companies often struggle to understand which customers, products, and categories truly drive revenue and profitability. Without clear visibility, it becomes difficult to optimize pricing, reduce losses, and make strategic product decisions. This project addresses that challenge by providing a data-driven view of customer segmentation, product performance, and profit trends to support better business decisions.
This dashboard explores customer segmentation and performance by analyzing sales, profit, customer distribution, and geographic trends. The results show that total business performance is strong, with $2.68M in sales and $307.42K in profit, but revenue is concentrated among a few top customers. Monthly trends indicate stable growth, while the Corporate segment contributes the highest share of profit. Regionally, the Central region leads in customer performance, revealing a benchmark for expansion strategies in lower-performing markets. Overall, this dashboard supports data-driven decisions in customer targeting, profitability improvement, and regional growth planning.
This dashboard analyzes product sales, profitability, and growth trends. It shows that Technology products lead in sales, Consumer segments drive most orders, and a small group of products contributes the highest revenue. However, several loss-making products reduce overall profitability, highlighting opportunities for pricing optimization and product portfolio improvement.
Focus on optimizing loss-making products identified in the loss table, scaling high-performing Technology products, and improving pricing strategies based on category-level profitability. Leveraging strong Consumer demand and promoting high-margin segments will help increase profitability and support sustainable growth