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E-commerce Sales Analysis Dashboard

Comprehensive Power BI dashboard analyzing e-commerce performance with SQL-based data modeling and DAX measures for revenue tracking and customer segmentation.

Role BI Analyst
Timeline 2025
Type Business Intelligence

Overview

Developed a comprehensive Power BI dashboard to analyze e-commerce sales performance, consolidating data from multiple sources to provide actionable insights for business decision-making. The dashboard tracks key metrics including revenue, orders, customer behavior, and product performance.

The Challenge

  • Sales data scattered across multiple databases and CSV files
  • Manual reporting process taking hours each week
  • Difficulty identifying top-performing products and customers
  • No visibility into revenue trends and seasonal patterns
  • Limited ability to segment customers effectively

Solution

  • Built SQL-based data models consolidating multiple data sources
  • Created DAX measures for revenue calculations and time intelligence
  • Implemented customer segmentation by value and purchase frequency
  • Developed product category analysis with profitability metrics
  • Added dynamic filters by date range, category, and customer segment
  • Automated data refresh reducing manual reporting by 40%

Technologies Used

Power BI
SQL
DAX
MySQL
Data Modeling

Key Insights Delivered

40% Time Saved
Top 20% Products = 80% Revenue
5 Customer Segments

The dashboard enabled stakeholders to quickly identify revenue trends, high-value customers, and underperforming product categories. Dynamic filtering allowed for deep-dive analysis by time period, category, and customer segment.

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