Prescriptive analytics is primarily used in the areas of Big Data and Smart Data, Artificial Intelligence, and Digital Transformation. This approach helps companies to not only find out what happened in the past or what is likely to happen in the future, but above all, what is best to do now.
Unlike descriptive or predictive analytics, prescriptive analytics provides concrete recommendations for action based on large volumes of data. It uses advanced algorithms and models to test various possibilities and suggest the best solution for a current problem.
A practical example: An online shop uses prescriptive analytics to notice that certain products are in particularly high demand at specific times. The system then automatically suggests increasing the stock of these goods or launching targeted promotional campaigns. This helps to avoid losses due to products selling out and to increase revenue.
Therefore, prescriptive analytics helps decision-makers to react more quickly and effectively to complex situations and to design processes more efficiently.
Deutsch 
English (UK)