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Pegasystems PEGAPCDC87V1 Exam - Topic 2 Question 35 Discussion
Topic #: 2
Reference module: Leveraging predictive model.
U+, a retail bank, wants to show a retention offer to customers who are likely to leave the bank in the near future based on historical customer interaction dat
a. Which type of model do you use to implement this requirement?
Requirement:
U+ wants to show a retention offer to customers likely to leave the bank based on historical interaction data.
Model Types:
Entity Model: Used for recognizing entities within data.
Text Analytics Model: Used for analyzing text data.
Predictive Model: Used for making predictions based on historical data.
Adaptive Model: Used for real-time adaptation based on new data.
Suitable Model:
For predicting customer churn (likelihood of leaving), a predictive model is best suited because it leverages historical data to make future predictions.
Verification from Pega Documentation:
Pega documentation on leveraging predictive models for customer retention and churn analysis.
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