Effective Utilization Strategies for Big Data Logs Generated from Digital Content Consumption: Analysis and Optimization Strategies

Effective Utilization Strategies for Big Data Logs Generated from Digital Content Consumption: Analysis and Optimization Strategies

The big data logs generated from digital content consumption are crucial resources for companies to understand user behavior, provide personalized services, and optimize business strategies. This paper presents effective methods for collecting, storing, preprocessing, analyzing, and utilizing digital content consumption logs. Through these methods, digital content companies can improve user experience, enhance operational efficiency, and strengthen their competitiveness. This paper analyzes various case studies involving real-time monitoring and problem-solving using log data, personalized recommendation systems, and strategies to improve user experience. Specifically, it presents concrete methods for data-driven innovation through successful log data utilization strategies employed by companies such as Netflix, YouTube, Amazon, and Instagram. Future research should include the development of an integrated system architecture for big data log processing, encompassing data collection, storage, processing, analysis, and visualization. Such an integrated system design will enable companies to utilize log data more efficiently and respond quickly to rapidly changing market environments. The digital content industry will continue to evolve through the analysis and optimization of big data logs. By implementing the strategies presented in this paper, companies can achieve better user experiences and higher business performance.