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Predicting customer behavior using real-time data

This course is for business users who are responsible for developing Next-Best-Action decision strategies.

You want to predict customer behavior, but you have no historical behavioral data on which to base your predictions. Without historical data, traditional predictive modeling won't work. Fortunately Pega offers Adaptive Decision Manager, which builds predictive models on-the fly using real-time customer behavior data. Learn how adaptive modeling works in this Advanced course and gain hands-on experience configuring an adaptive model, applying it to a Next-Best-Action strategy.

Prerequisites

  • None

What you'll learn

By the end of this course, you will be able to successfully:

  • Explain what are the Adaptive Models and how do they fit into Decisioning landscape.
  • Implement adaptive models in decisioning strategies.
  • Understand the functions available on the Adaptive Model Management landing page.
  • Understand adaptive model reporting capabilities.

Course Outline

  1. Predicting customer behavior using real-time data

    • Before you begin
    • Tell me about adaptive analytics
    • Show me how to create an adaptive model
    • Show me how to use an adaptive model in a strategy
    • Show me how to add an adaptive model for a new proposition
    • Tell me about adaptive model outputs
    • Tell me about smooth propensity
    • Show me adaptive model reports
    • Let me build an adaptive model and use it in a strategy
    • Let me examine adaptive model reports
    • Before you leave

Choose Your Format

Need help choosing the best format? Learn More.

  • Skill Level

    Advanced

  • Duration

    3 hours

  • Platform Version

    8.1

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