You can improve predictions of your customer needs and decisions by closely monitoring the predictive models that you use, for example, in customer-oriented strategies.

Whether you build your own model or import an existing one, you can analyze and compare both types by using advanced statistical metrics. If you decide to create a model, you do not need to define the outcomes to monitor because the Pega Platform™ templates already contain their standard definitions; if you import a preconfigured model from a PMML file, you can specify the outcome that you want to monitor by using an improved import feature:

After defining the outcome that you want to monitor and running a model to gather responses over time, you can use detailed metrics to verify the model performance:

Additionally, you can compare the performance of all predictive models of the same type in summarized reports:

For more information, see:

• Tutorial: Monitoring predictive models
• Predictive models monitoring