What does prescriptive analytics recommend?

Prescriptive analytics is an advanced form of data analysis that goes beyond merely describing or predicting outcomes; it actively recommends actions to achieve specific objectives or desired outcomes. This analytical approach uses data, algorithms, and machine learning to suggest what steps should be taken in various scenarios to optimize results.

In healthcare administration, for example, prescriptive analytics can help decision-makers determine the best treatment plans for patients, resource allocation, or cost management strategies, ensuring that actions taken will lead to improved health outcomes or operational efficiencies. This makes prescriptive analytics particularly valuable in settings where making informed decisions based on complex data is critical for success.

Thus, option C accurately encapsulates the essence of prescriptive analytics by emphasizing its role in recommending actions that can help achieve targeted results based on data analysis.