Prescriptive analytics is a type of data analytics that recommends actions to optimize outcomes. It goes beyond describing what has happened (descriptive analytics) and predicting what could happen (predictive analytics) by suggesting the best course of action to achieve a desired goal. It uses techniques like optimization, simulation, and machine learning to identify the best decisions, taking into account various constraints and objectives. It is commonly used in areas such as supply chain management, pricing optimization, and resource allocation.
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