Prescriptive analysis is a type of data analysis that helps organizations make decisions by recommending actions based on data insights. It goes beyond simply describing what has happened or predicting what might happen in the future. Instead, it provides specific suggestions on how to achieve desired outcomes, often using algorithms and optimization techniques. This analysis often incorporates various factors, such as historical data, business rules, and predictive models, to evaluate different scenarios. By analyzing these elements, prescriptive analysis can guide decision-makers in choosing the best course of action, ultimately improving efficiency and effectiveness in various fields, including business, healthcare, and logistics.