This project showcases an interactive Power BI dashboard analyzing Adidas store sales across the USA. It provides valuable insights into sales trends, performance metrics, and profitability, enabling data-driven decision-making.
- 💵 Total Sales: $900M revenue visualized.
- 📅 Monthly Trends: Line chart of sales by month.
- 🌎 Regional Analysis: Operating profit across USA regions.
- 🛒 Top Retailers: Sales breakdown by retailer.
- 👟 Popular Products: Insights into top-selling Adidas products.
- 🗺️ State-Level Insights: Map visualization of total sales by state.
- Power BI: For creating the dashboard.
- Processed Dataset: Pre-cleaned and ready for analysis.
-
Monthly Trends:
- Peak sales in July ($95M) and August ($92M).
- Low sales in March ($57M) and April ($57M).
-
Regional Profitability:
- West region contributed 27% of total profit.
- Southeast region showed consistent performance.
-
Top Retailers:
- Highest revenue generated by West Gear ($243M).
-
Product Trends:
- Most sold category: Men's Street Fashion ($209M).
- Clone this repository.
- Open the
.pbixfile in Power BI. - Explore the interactive visuals and gain insights! ✨
- Integrate predictive analytics to forecast future sales.
- Add real-time data for dynamic updates.
- Enhance interactivity with more filters.
Hi! 👋 I'm a passionate data analyst exploring creative ways to present data. This dashboard demonstrates my skills in EDA and visual storytelling. Feel free to connect for feedback or collaboration! 🚀
- Demonstrated expertise in Power BI and storytelling.
- Gained actionable insights for retail management.