This repository contains a comprehensive Power BI dashboard for analyzing shop sales performance. Key features include:
Total Sales: $411.56M Total Rating: 951.64K Total Purchases: 1.61M Avg Sales: $82.31M Key Insights: Top Product Types: Water, Smartphones, Non-Fiction, Fiction, T-shirts Sales by Category: Electronics, Grocery, Clothing, Books, Home Decor Customer Feedback: High levels of excellent and good ratings Ratings Distribution: Detailed view of customer satisfaction levels This dashboard provides actionable insights to drive data-driven business decisions. This repository contains a comprehensive Power BI dashboard designed to analyze and visualize shop sales performance across various product categories.
The Shops Sales Analysis Dashboard provides key insights into sales metrics, product performance, and customer feedback. It empowers businesses to make data-driven decisions by presenting detailed analytics in an easy-to-understand format.
Total Sales: $411.56M Total Rating: 951.64K Total Purchases: 1.61M Average Sales: $82.31M Top Product Types Water: 33M Smartphones: 25M Non-Fiction Books: 25M Fiction Books: 25M T-shirts: 17M Sales by Category Electronics: 23.61% Grocery: 22.12% Clothing: 18.18% Books: 18.08% Home Decor: 18.01% Customer Feedback Excellent: High satisfaction Good: Majority feedback Average: Moderate feedback Bad: Low feedback Ratings Distribution 5 Stars: 32.49% 4 Stars: 20.85% 3 Stars: 16.47% 2 Stars: 15.81% 1 Star: 14.37%
Interactive Visualizations: Dynamic charts and graphs to explore sales data. Category Breakdown: Detailed view of sales distribution by product category. Customer Feedback Analysis: Overview of customer ratings and feedback. Performance Metrics: Key metrics to track sales performance and trends.
Open the provided Power BI file (Store_Sales_Analysis.pbix) in Power BI Desktop. Connect to the dataset (dataset.csv) to update the dashboard with your data. Explore the interactive visualizations and gain insights into your shop's sales performance.