Prescriptive analytics is a branch of data analysis that focuses on recommending actions to achieve desired outcomes. It uses techniques from statistics, machine learning, and operations research to analyze data and suggest the best course of action based on specific goals. This type of analytics helps organizations make informed decisions by evaluating various scenarios and their potential impacts. By leveraging historical data and predictive models, prescriptive analytics can optimize processes in various fields, such as supply chain management, marketing, and healthcare. It empowers businesses to not only understand what might happen in the future but also to determine the best strategies to take advantage of those predictions.