Prescriptive Analytics is a relatively new field of analytics that combines a variety of statistical techniques and machine learning algorithms to make recommendations about the best course of action to take in a particular situation. Unlike descriptive analytics, which focuses on understanding what has happened in the past, or predictive analytics, which predicts what is likely to happen in the future, prescriptive analytics goes one step further by providing actionable recommendations to help organizations optimize their decision-making processes.
In recent years, the demand for Prescriptive Analytics Market has been on the rise, driven by a number of factors such as the increasing complexity of business processes, the availability of big data and the need to make faster and more informed decisions. In this article, we will explore some of the reasons why the demand for prescriptive analytics is increasing and what this means for organizations.
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