Welcome to the Superstore Sales Analysis project — a sleek and insightful Power BI dashboard designed to transform raw retail data into clear business intelligence.
This project was created as part of a hands-on learning experience in Power BI, where I explored everything from data cleaning to advanced visualization.
This dashboard provides a comprehensive breakdown of sales performance using the Superstore dataset, focusing on:
- 📍 Region-wise Sales & Profit
- 📈 Monthly Sales Trends
- 💰 Profit Margins
- 📦 Top-level KPIs (Sales, Profit, Orders)
- 🧭 Interactive Filters (Slicers)
- 🎯 Key Insights and Business Recommendations
- Removed unnecessary columns (e.g., Row ID)
- Fixed Order Date format (MM-DD-YYYY → proper Date format)
- Set correct data types for sales figures, dates, and categorical fields
- Cleaned and standardized fields to ensure accuracy in reporting
- West region has the highest overall sales
- South region shows strong profitability despite lower sales
- Month-on-month sales trend reveals seasonal patterns
- Filtering by Region enables targeted performance analysis
- Power BI Desktop
- Superstore Dataset (from Kaggle)
- DAX for calculated metrics like Profit Margin
This dashboard was created as a Power BI learning task using a real-world dataset, as part of my internship with Elevate Labs.
It showcases how data visualization can reveal business insights that spreadsheets often hide.