Which type of analytics suggests actions to improve business outcomes?

Prescriptive Analytics is focused on providing recommendations for actions based on data analysis. It goes beyond merely describing past events or identifying reasons behind them to suggest strategies that can lead to improved business outcomes. This type of analytics utilizes algorithms, machine learning, and optimization techniques to analyze current and historical data, helping decision-makers understand the potential impact of different actions.

In contrast, Descriptive Analytics summarizes historical data and provides insights into what has happened, but it does not recommend specific actions. Cognitive Analytics leverages artificial intelligence to mimic human thought processes, but it is more about understanding and interpreting data rather than suggesting direct actions. Diagnostic Analytics investigates why something happened in the past, focusing on identifying the causes of events without recommending future actions.

Thus, Prescriptive Analytics is the appropriate choice when it comes to advising on actions to enhance business results.