🎵 Spotify Music Analytics Dashboard

🎵 Spotify Music Analytics Dashboard | Power BI & SQL

Transforming music streaming data into actionable insights using SQL, Power BI, Python, and Excel.

Spotify Music Analytics is an end-to-end Business Intelligence solution designed to analyze streaming trends, artist performance, track popularity, and listener engagement through interactive dashboards and data-driven visualizations.

🔹 What I Did • Collected, cleaned, and transformed Spotify streaming data using SQL and Python • Built an optimized data model in Power BI • Created interactive dashboards with drill-down and cross-filtering capabilities • Developed DAX measures for key music streaming KPIs • Designed dashboards to analyze artists, albums, tracks, genres, and streaming trends

📊 Dashboard Features • Executive Summary Dashboard • Streaming Performance Analysis • Top Artists & Top Tracks • Album & Genre Performance • Monthly & Yearly Streaming Trends • Popularity Score Analysis • Listening Behavior Insights • Track & Artist Comparison • Interactive Filters & Drill-through Navigation

🛠 Tools & Technologies • Power BI • SQL • Python • Pandas • Microsoft Excel • DAX • Power Query

📈 Project Impact • Analyzed 100K+ Spotify streaming records • Built interactive dashboards for music analytics • Identified top-performing artists, albums, and tracks • Analyzed streaming trends and listener engagement • Improved reporting through automated visual analytics • Delivered actionable insights for data-driven decision-making

🔗 Live Dashboard https://app.powerbi.com/view?r=eyJrIjoiZGVkMGFjZWEtYzQ1ZS00Nzc0LWFkNzEtZTFhM2I1ZTUyM2ZkIiwidCI6ImY3ZGEyNGU1LWIyNDAtNDZlZC04OWFjLWE0NjczYTRlZGMxMSJ9

💻 GitHub Repository https://github.com/Sandeep-crtl/Spotify-Insights

📝 LinkedIn Project Post https://www.linkedin.com/feed/update/urn:li:activity:7414892040796229632/

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