Music Store Analysis is a data-driven project using SQL to explore and analyze key business aspects of a music store. The project focuses on predefined questions to uncover insights into sales trends, artist trends and many more. By querying and analyzing structured data, we identified top-selling genres, high-value customers, revenue distribution, and stock efficiency. This study helps understand market trends and optimize business strategies. The project demonstrates the power of SQL in handling large datasets, extracting valuable insights, and aiding data-driven decision-making in the music retail industry, ultimately improving sales performance and customer satisfaction.