Prescriptive analytics is a type of data analysis that uses advanced mathematical and computational techniques to generate recommendations for action. It is a step beyond predictive analytics, which uses data to make predictions about future outcomes, and diagnostic analytics, which is used to identify the root cause of a problem or issue.
Prescriptive analytics combines data, statistical algorithms, and machine learning techniques to generate insights and recommendations that can help organizations make better decisions. These recommendations may be based on a variety of factors, such as cost, risk, and potential outcomes.
Prescriptive analytics can be used in a wide range of industries and applications, including supply chain management, healthcare, finance, and marketing. By providing organizations with specific recommendations for action, prescriptive analytics can help them optimize their operations, reduce costs, and improve performance
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