With the advent of the big data era, real-time data analysis and decision-support systems have been recognized as essential tools for enhancing enterprise competitiveness and optimizing the decision-making process. This study aims to explore the development strategies of real-time data analysis and decision-support systems, and analyze their application status and future development trends in various industries. The article first reviews the basic concepts and importance of real-time data analysis and decision-support systems, and then discusses in detail the key technical aspects such as system architecture, data collection and processing, analysis methods, and visualization techniques.
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