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Prescriptive Analytics

Prescriptive analytics is an advanced form of data analysis that not only predicts future outcomes but also recommends specific actions to achieve desired results. It combines machine learning, optimization algorithms, and simulation techniques to evaluate different decision scenarios and identify the best possible strategies. This approach goes beyond predictive analytics by answering the question, “What should we do next?” rather than simply forecasting what might happen. Prescriptive analytics is widely used in fields such as logistics, healthcare, finance, and marketing to improve efficiency and resource allocation. As AI capabilities grow, prescriptive analytics is becoming an essential tool for intelligent, data-driven decision-making.