The use of big data and analytics in the music industry has brought about a significant transformation, revolutionizing profit models, production methods, and marketing strategies. This essay explores the impact of big data analysis on the music industry and its future implications. Initially, traditional methods employed intuition and human judgment, but now music companies rely on big data technology and algorithms to process and analyze vast amounts of complex data. This essay examines how big data analysis has reshaped the industry's profit model by analyzing user behavior to identify new artists, predict trends, and create targeted marketing campaigns. It also explores how data analysis has revolutionized production methods, such as the creation of personalized playlists on music streaming platforms and the identification of emerging trends. However, the essay also acknowledges potential drawbacks, including biases favoring commercially successful artists and concerns regarding data privacy and ethical implications. It concludes that while big data analysis has undeniably transformed the music industry, a balance must be struck between utilizing data for commercial purposes and preserving artistic creativity and diversity. The essay emphasizes that embracing big data analysis enables music companies to gain valuable insights into user behavior and preferences, leading to better products, services, and success in the digital age. Examples of big data applications in the music industry, including personalized playlists and trend prediction, are provided to illustrate the practical implications of data analysis. The essay also acknowledges differing opinions on the role of data in the industry, recognizing that it can complement but not replace the expertise of industry insiders in discovering and nurturing talent.

Sai Wei. Research on the application of big data analysis in music enterprises. Academic Journal of Business & Management (2023) Vol. 5, Issue 16: 46-51. https://doi.org/10.25236/AJBM.2023.051607.

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