🚀 Apple iTunes Music Analysis | End-to-End SQL Data Analytics Project
In this project, I analyze the Apple iTunes relational database using SQL to uncover actionable business insights related to customer behavior, revenue performance, genre popularity, and operational efficiency.
🔍 Project Highlights:
• Customer Lifetime Value (CLV) Analysis
• Repeat vs One-Time Customer Segmentation
• Inactive Customer Identification (Retention Analysis)
• Revenue Trends & Monthly Performance
• Media Type Revenue Breakdown (MPEG vs AAC)
• Genre & Artist Performance Ranking
• Employee Revenue Contribution
• Interactive Tableau Dashboard
🛠 Tools Used:
• SQL (SQLite)
• Tableau Public
• CSV Data Files
• GitHub for Documentation
📊 Key Insights:
• 27% customers inactive in last 6 months
• 90% revenue from MPEG audio files
• Rock genre generates highest revenue
• Revenue concentrated among top customers
📁 GitHub Repository:
[Paste your GitHub link here]
📈 Tableau Dashboard:
[Paste your Tableau Public link here]
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SQL Data Analytics Project: Apple iTunes Music Store Analysis with Tableau Dashboard | NatokHD