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Avoiding overexposure of actions

Creating parameterized predictors

  • Module

    Creating parameterized predictors

    1 Rubrique

    15 mins

    Pega Customer Decision Hub 8.6 Visible to: All users
  • Learn how to improve the predictive power of your adaptive models by creating parameterized predictors. Input fields that are not directly available...

Creating predictions

Creating predictions and predictive models

  • Module

    Creating predictions and predictive models

    6 Rubriques

    1h 5 mins

    Visible to: All users
  • Predicting customer churn is one of many business use cases that involve predictive models. Pega Customer Decision Hub™ provides predictions that use...

Creating predictive models

  • Module

    Creating predictive models

    5 Rubriques

    50 mins

    Pega Customer Decision Hub 8.7 Visible to: All users
  • In Prediction Studio, three option to leverage historical data are available: creating models using Pega machine learning, importing models created in...

Customer Decision Hub overview

Customer Decision Hub predictions

Defining and managing customer actions

Defining prediction patterns

  • Module

    Defining prediction patterns

    2 Rubriques

    20 mins

    Visible to: All users
  • Learn how to improve the predictive power of your adaptive models by configuring additional potential predictors in Pega Customer Decision Hub™. For...

Exporting adaptive model data

  • Module

    Exporting adaptive model data

    3 Rubriques

    35 mins

    Visible to: All users
  • The reporting datamart of Pega Adaptive Decision Manager (ADM) is an open data model. As a result, data scientists that work on Pega Customer Decision...

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