---

Sales Insights Dashboard for AtliQ Hardware

📊 Project Overview

This project involves creating a Power BI dashboard to analyze and visualize sales trends for AtliQ hardware goods. The goal is to provide actionable insights that empower data-driven decisions and support revenue growth.

🛠️ Tools and Technologies

• Power BI: For interactive data visualization.
• SQL: For querying and preparing the data.

✨ Features

• Comprehensive Sales Analysis: Displays trends in hardware goods sales.
• User-Friendly Design: Ensures insights are accessible to non-technical stakeholders.
• Impact on Revenue: Projected to increase revenue by at least 7% in the next quarter.

📈 Key Insights Delivered

• Sales trends across time periods.
• Identification of top-performing products and regions.
• Actionable recommendations to improve revenue.

🚀 How to Use

1. Clone this repository:

   git clone https://github.com/username/repo-name.git  

2. Open the Power BI file ([AtliQ_Sales_Insights.pbix](https://app.powerbi.com/links/JBKqxmmutv?ctid=75c6a54f-cdc9-4ed2-941c-7096cf7dbda0&pbi_source=linkShare)) in Power BI Desktop.
3. Use the SQL scripts provided (data_queries.sql) to replicate the data extraction process.

📂 Repository Structure

|-- README.md  
|-- AtliQ_Sales_Insights.pbix  
|-- data_queries.sql  
|-- pdf/  
    |-- dashboard_overview.pdf 
    

💡 Future Enhancements

• Include predictive analytics for sales forecasting.
• Add filters for more granular analysis.
• Automate data updates using Power BI Service.

🤝 Contribution

Contributions are welcome! Feel free to fork the repository and submit pull requests.

---