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Pega Data Scientist

This course is for data scientist who are responsible for developing and maintaining predictive models.

Gain greater understanding of the key features, capabilities and benefits of the Pega Prediction Studio in this course. Learn how to build predictive models and manage adaptive models that are used in strategies that guide the real-time interactions as well as simulating and analyzing the results of strategies using Visual Business Director.

Prerequisites

  • None

What you'll learn

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

  • Understand the basic components and capabilities of Pega Prediction Studio.
  • Understand how Next-Best-Action improves the customer experience.
  • Create a predictive model and use it in the Next Best Action strategy.
  • Explain how adaptive modeling works and configure adaptive models.
  • Run alternative strategies and compare the results using Visual Business Director.

Course Outline

  1. Course introduction

    • Before you begin
  2. Introducing Next-Best-Action and models

    • Tell me about the Next-Best-Action paradigm
    • Tell me about 1-to-1 Customer Engagement
    • Application development studios
    • Introduction to analytics
  3. Using the decision strategy canvas

    • Tell me what is a strategy canvas
    • Guide me importing proposition to the strategy canvas
  4. Executing a decision strategy

    • Tell me how decision strategy execution works
    • Let me understand the decision strategy execution
  5. Using a predictive model in a strategy

    • Tell me how to retain customers using predictive analytics
    • Show me how to retain customers using predictive analytics
    • Challenge me selecting a proposition based on prediction
  6. Using adaptive models in a strategy

    • Tell me how to predict customer needs
    • Show me how to use adaptive decisioning
    • Challenge me adding an Adaptive Model component
  7. Testing strategies with a Monte Carlo data set

    • Tell me about a Monte Carlo data set
    • Show me how to generate data using a Monte Carlo data set
    • Show me how to extend a Monte Carlo data set
    • Show me how to test a strategy using a Monte Carlo data set
    • Let me create a Monte Carlo data set
    • Let me test a strategy with a Monte Carlo data set
  8. Testing strategies en masse with simulations

    • Tell me about decisioning simulations
    • Show me how to execute a simulation
    • Show me how to compare results of simulations
    • Show me how to analyse results of a simulation using reports
    • Let me test a decision strategy using simulations
  9. Building predictive models

    • Let me build a predictive model
  10. Importing third party predictive models

    • Tell me what PMML is
    • Show me how to use a PMML model in a strategy
    • Let me use a PMML model in a decision strategy
  11. Implementing adaptive models

    • 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
  12. Utilizing text analytics

    • Tell me what is text analytics
    • Show me how to predict the sentiment of a Twitter text
    • Show me how to automate work using text analytics
    • Let me create a case based on text analysis on Twitter data
  13. Course summary

    • Before you leave

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  • Skill Level

    Intermediate

  • Duration

    2 days

  • Platform Version

    8

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