ses statistical models and machine learning techniques to forecast future outcomes. Example: Predicting customer churn rates to implement retention strategies. Prescriptive Analytics: Recommends actions based on predictive models to achieve desired outcomes. Example: Optimizing inventory levels based on sales forecasts to reduce holding costs. A/B Testing: Compares two versions of a variable to determine which performs better. Example: Testing two different marketing campaigns to see which one generates more leads.