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The seamless emergence of data generated from business transactions, IoT devices, and digital platforms has enabled a subsequent necessity for intelligent systems to run on top of that raw data and generate important insights. The project is aimed “Design and Development of a Data-Driven Decision Support System Using Advanced Analytics Techniques” which to build an effective and scalable system for the decision-makers enables users to analyze complex multidimensional data sets and make decisions The system combines data preprocessing, exploratory data analysis, and advanced analytics—including machine learning algorithms—to uncover patterns, trends, and correlations in large datasets. It leverages tools like Python, data visualization libraries, and business intelligence platforms to deliver interactive dashboards and real-time insights. Designed for versatility, the system handles both structured and unstructured data, making it suitable for various fields such as healthcare, finance, and smart systems.