Using Big Data to Identify Viewer Content Trends and Guide Content Creation

The implementation of big data analytics in the media and entertainment industry has revolutionized how streaming platforms analyze viewer behavior and optimize content strategies. Through comprehensive examination of the analytics pipeline, from data collection and processing to visualization and continuous improvement, the research demonstrates the transformative impact of advanced technologies in content delivery. Modern streaming platforms leverage cloud infrastructure, machine learning algorithms, and real-time processing capabilities to transform viewer data into actionable insights. The analysis reveals how data-driven decision-making has fundamentally changed content development, audience targeting, and revenue optimization in the streaming industry, while providing detailed insights into the architectural components and implementation strategies necessary for successful deployment of analytics solutions in media organizations

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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-02-01
DOI
https://doi.org/10.35629/5252-0702351359
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Big Data to Identify Viewer Content Trends and Guide Content Creation

Chandrasekhar Katasani
International Journal of Advances in Engineering and Management
Technology and Data Analysis
article

Using Big Data to Identify Viewer Content Trends and Guide Content Creation

Chandrasekhar Katasani
article en

Abstract

The implementation of big data analytics in the media and entertainment industry has revolutionized how streaming platforms analyze viewer behavior and optimize content strategies. Through comprehensive examination of the analytics pipeline, from data collection and processing to visualization and continuous improvement, the research demonstrates the transformative impact of advanced technologies in content delivery. Modern streaming platforms leverage cloud infrastructure, machine learning algorithms, and real-time processing capabilities to transform viewer data into actionable insights. The analysis reveals how data-driven decision-making has fundamentally changed content development, audience targeting, and revenue optimization in the streaming industry, while providing detailed insights into the architectural components and implementation strategies necessary for successful deployment of analytics solutions in media organizations

International Journal of Advances in Engineering and ManagementVol. 7(2)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Openalex Percentile: Top 97%
Technology and Data Analysis
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Using Big Data to Identify Viewer Content Trends and Guide Content Creation — Chandrasekhar Katasani · International Journal of Advances in Engineering and Management (2025) | TGRS Research Map | TGRS