🏀 Adidas US Sales Dashboard

This project is a Power BI dashboard that visualizes sales performance data for Adidas in the United States. It provides insights into revenue trends, product category performance, and regional analysis to assist in strategic decision-making.

📊 Project Overview

The dashboard is built using Power BI and connects to an Excel dataset that contains detailed sales records. It highlights:

• Sales and revenue trends over time
• Top-performing product categories and products
• Regional sales distribution
• Profit margins and performance indicators

📁 Files Included

File	Description
Adidas Sales Dashboard.pbix	Power BI dashboard file
Adidas US Sales Datasets.xlsx	Raw dataset used for analysis

🚀 How to Use

1. Open the .pbix file in Power BI Desktop.
2. The visuals will automatically load based on the embedded data.
3. Optionally, update or refresh the data if the source Excel file has changed.

🔍 Key Insights

• Product Category Trends: Understand which categories drive the most revenue.
• Sales by Region: Visualize the geographical performance of Adidas products.
• Time Series Analysis: Spot seasonal trends and changes in customer demand.
• Profitability: Analyze margins to identify the most lucrative product lines.

🛠 Tech Stack

• 📈 Power BI
• 📊 Excel (.xlsx)

🙋‍♂️ Author & Contact

• Name: Vedant Thate
• Email: vedantthate19@gmail.com
• University: Savitribai Phule Pune University
• Github: @vedantthate
• LinkedIn: VedantThate

📄 License

This project is developed for educational purposes only. Commercial use is not permitted without prior permission.