Using Big Data to Identify Viewer Content Trends and Guide Content Creation
Chandrasekhar Katasani · International Journal of Advances in Engineering and Management · 2025
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