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Power BI dashboard analyzing Domino’s sales performance with insights on revenue, orders, top pizzas, sizes, categories, and monthly trends .

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saritasingh581/dominos-sales-insights

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📊 Overview

This project is a dynamic and interactive Sales Dashboard developed using Power BI to analyze and visualize Domino's pizza sales data. The goal is to provide meaningful insights to help understand sales performance, customer behavior, and identify opportunities for strategic improvements.

🚀 Features

  • Interactive visualizations and filters
  • Intuitive layout with clean UI
  • Responsive charts and KPIs for better decision-making

🔍 Key Insights

  1. Top 5 Selling Pizzas – Identify the most popular pizza types
  2. Total Revenue – Overall sales performance at a glance
  3. Orders by Hour – Discover peak ordering hours
  4. Monthly Sales Trends – Evaluate sales performance month-over-month
  5. Average Pizzas per Order – Understand customer ordering patterns
  6. Average Order Value – Measure the average transaction revenue

📌 Recommendations

  • Highlight best-selling pizzas in marketing and promotions
  • Introduce seasonal pizza variants to keep the menu fresh
  • Run offers during low-revenue months to boost sales

📂 Project Structure

├── 📊 Dashboard.pbix # Power BI dashboard file
├── 📈 Sales_Data.csv # Dataset used
├── README.md # Project documentation
└── 📸 Screenshots/ # Dashboard screenshots

🛠️ Tools & Technologies

  • Power BI
  • Data Analysis & Visualization
  • DAX (Data Analysis Expressions)

📷 Dashboard Preview

https://1drv.ms/i/c/3d00aa50fbba3fef/ER9gbl46nXZHnHXcjRsXa30BGD1ulP48zhmTdvppTR_scQ?e=oSE4Zw  

📥 How to Use

  1. Clone the repository.
  2. Open the .pbix file using Power BI Desktop.
  3. Explore the visualizations or connect your own dataset.

📌 Notes

  • Sample data is used for demonstration.
  • All visuals are customizable and dynamic based on filters.

🤝 Contact

For questions or collaboration, feel free to connect via LinkedIn or email.

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Power BI dashboard analyzing Domino’s sales performance with insights on revenue, orders, top pizzas, sizes, categories, and monthly trends .

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