Using predictive models

Predictive analytics requires historical data that contains the customer behavior you want to predict. A predictive model is used to predict an outcome based on customer behavior such as offer acceptance and churn based on customer characteristics such as credit risk, income, product subscriptions, etc. A predictive model component references a predictive model, which in turn predicts customer behavior.

 

Anfänger

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

Describe predictive analytics

Describe how to use a predictive model in a decision strategy

Arbitrate between business issues using applicability rules in Next-Best-Action Designer

In den folgenden Missions verfügbar:

Data Scientist v2 Cross-Sell on the Web Extended v2

Themen

Predicting customer behavior using predictive models

5 Min.

Using predictive models in engagement strategies

10 Min.

Modulquiz

5 Min.