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Delve into the world of music retail analytics through MySQL, exploring diverse metrics such as genre, artist, track, duration, audience engagement, and preferences. Uncover trends, patterns, and correlations to enhance marketing strategies and optimize inventory management.

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sayande01/Music_Store_Data_Analysis_MySQL

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Title: Harmonic Insights: Analyzing Music Store Data with MySQL

Description: Delve into the world of music retail analytics through MySQL, exploring diverse metrics such as genre, artist, track, duration, audience engagement, and preferences. Uncover trends, patterns, and correlations to enhance marketing strategies and optimize inventory management.

Objective: The objective of this project is to conduct comprehensive data analysis on music store datasets using MySQL, with specific goals including:

  1. Importing and organizing music store data into MySQL databases.
  2. Cleaning and preprocessing the data to ensure accuracy and consistency.
  3. Analyzing music sales by genre, artist, and track popularity.
  4. Examining audience demographics and preferences for targeted marketing.
  5. Investigating correlations between track duration, engagement metrics, and sales performance.
  6. Generating actionable insights to improve inventory selection, enhance customer experiences, and drive revenue growth in the music retail industry.

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Delve into the world of music retail analytics through MySQL, exploring diverse metrics such as genre, artist, track, duration, audience engagement, and preferences. Uncover trends, patterns, and correlations to enhance marketing strategies and optimize inventory management.

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