Pega Decision Management combines which elements to determine the Next-Best-Action?

Pega Decision Management utilizes business rules, predictive analytics, and interaction history to determine the Next-Best-Action. Business rules provide the foundational guidelines that dictate how decisions should be made based on predefined criteria and conditions. These rules are essential for ensuring consistency and compliance within decision-making processes.

Predictive analytics enhances this framework by leveraging historical data and statistical models to forecast future behaviors and outcomes. This element allows organizations to make data-driven predictions that can optimize the decision-making process.

Interaction history is also critical as it ensures that decisions are personalized based on the past interactions a customer has had with the organization. This history provides context that can significantly influence what action is deemed most appropriate, aligning with the customer's previous behaviors and preferences.

Together, these elements form a robust system that not only assesses the current situation but also anticipates future needs and desires, leading to more effective and tailored customer engagements.