📊 PwC Power BI Analyst Project

Welcome to the PwC Power BI Analyst Project, a comprehensive data analysis and visualization project using Power BI. This project demonstrates proficiency in data transformation, modeling, visualization, and insights generation based on a real-world business scenario.

🚀 Project Overview

This project is part of the PwC Power BI Analyst case study, where we analyze business data to derive meaningful insights and improve decision-making. It involves:

• 📌 Data Cleaning & Transformation (Power Query)
• 📊 Data Modeling & Relationships
• 📈 Interactive Dashboards & Reports
• 📎 DAX Measures & Calculations
• 📉 Business Insights & Recommendations

📂 Dataset

The dataset used in this project includes:

• Sales Transactions
• Customer Demographics
• Market Trends
• Performance Metrics

🛠 Tools & Technologies

• Microsoft Power BI – Data Visualization & Reporting
• Power Query – Data Cleaning & Transformation
• DAX (Data Analysis Expressions) – Custom Calculations & Measures
• Excel / CSV – Data Storage & Import

📊 Key Insights & Visuals

✔ Sales Performance Analysis: Trends in revenue, product demand, and sales regions. ✔ Customer Segmentation: Identifying customer groups based on demographics and buying behavior. ✔ Market Trend Analysis: Visualizing market growth and key influencing factors. ✔ Profitability Insights: Understanding revenue streams and cost structures. ✔ KPI Dashboards: Interactive dashboards highlighting key performance indicators.

🔍 How to Use

1. Download the Power BI File: Clone this repository or download the .pbix file.
2. Open in Power BI: Load the file using Microsoft Power BI Desktop.
3. Explore the Dashboards: Navigate through interactive reports and visualizations.
4. Customize & Extend: Modify data sources, update DAX measures, or add new visualizations.

📸 Screenshots

(Add screenshots of your Power BI dashboards here to showcase the visuals)

💡 Learning Outcomes

Through this project, you will gain hands-on experience in:

• Working with real-world business data.
• Building data models and defining relationships.
• Writing effective DAX calculations.
• Creating interactive dashboards for decision-making.

🤝 Contributing

Feel free to contribute to this project by improving visualizations, optimizing DAX measures, or adding new insights!

📜 License

This project is open-source under the MIT License.

📬 Contact

For any queries, feel free to reach out via GitHub Issues or connect on LinkedIn.

---

⭐ If you find this project helpful, don’t forget to give it a star! ⭐