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Proactive retention is applicable when a customer is
Proactive retention is applicable when a customer is likely to churn. Proactive retention is a strategy that aims to prevent customer attrition by identifying customers who are at risk of leaving and offering them incentives or solutions to retain them. Proactive retention requires predicting the customer's churn risk and selecting the next best action accordingly. Reference: https://community.pega.com/sites/default/files/help_v82/procomhelpmain.htm#decisioning-/decisioning-strategies-/decisioning-strategies-proactive-retention/main.htm
When compared to a Predictive Model, an Adaptive Model is different as it_____________
An adaptive model is different from a predictive model as it can use strategy properties as predictors. Strategy properties are dynamic values that are calculated or derived during the execution of a decision strategy. They can capture customer context, such as channel, location, time, etc. Reference: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/adaptive-models-overview
For an Adaptive Model to react quickly to changes in customer behavior, the
A legal firm wants to use text analytics for easier and faster access to information to helo with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?
A taxonomy is a list of valid categories that can be used to classify text documents or entities. A taxonomy can be hierarchical or flat, depending on the level of detail required. Reference: https://academy.pega.com/module/text-analytics/topic/creating-taxonomy
A best practice in data science is to use a control group. What business metric is supported by this practice?
The lift that the prediction generates Reference:
Using a control group is a best practice in data science that supports the business metric ofthe lift that the prediction generates.
