Using Predictive Analytics Director, which model types can be built? (Choose Two)

In Predictive Analytics Director, the model types that can be built include scoring and value models. Scoring models are particularly important in decisioning processes, as they assess the likelihood of a certain outcome occurring, allowing businesses to prioritize actions based on these predictions. For example, a scoring model might be used to predict the probability that a customer will make a purchase based on their previous behavior and characteristics.

Value models, on the other hand, focus on determining the potential economic benefit of a specific action or decision, helping organizations understand which customer interactions lead to the highest return on investment.

In contrast, while analytics, probability, and spectrum may relate to data analysis or the broader field of analytics, they do not represent specific model types that can be built within the Predictive Analytics Director framework in the same way that scoring and value models do. This distinction helps clarify their roles and applications in predictive analytics and decision-making processes within the Pega environment.