Pega Decisioning Consultant PEGAPCDC87V1 Passing Score

 Ethical Bias Policy Configuration:

To allow minimal bias on age while ensuring eligibility (Age >= 18), an appropriate Gini coefficient threshold needs to be set.

The Gini coefficient measures statistical inequality, with 0 representing perfect equality and higher values indicating more bias.

 Choosing the Gini Threshold:

A 0.1 Gini coefficient is a low threshold that allows minimal bias.

It ensures that the actions are distributed fairly among customers while still respecting the eligibility condition.

 Detailed Explanation:

Setting a 0.1 Gini coefficient allows for slight variations in distribution, which is sufficient to accommodate the Age >= 18 requirement without introducing significant bias.

 Verification from Pega Documentation:

The Pega Customer Decision Hub User Guide explains the use of Gini coefficients for measuring and setting thresholds to control bias in decisioning strategies​​.

To ensure that the Platinum Plus offer is prioritized over other offers, you can increase the "business weight" of the Platinum Plus card. The business weight is a lever used in the arbitration process to influence the prioritization of actions. By increasing the business weight, you make the Platinum Plus offer more likely to be selected over other competing offers.

Scorecard Classification - Classifications in a scorecard can segment customers based on score ranges into categories like Not Approved, Refer to Manager, and Approved.

pxSegment Property - This property holds the classification result, which can be used in decision strategies to take appropriate actions based on the classification.

Steps to Use pxSegment:

Ensure the scorecard rule includes the classification bands.

In the decision strategy, reference the pxSegment property to check the classification result.

Use this property in filters, decision points, or to route customers to different actions based on their classification.

 Context:

U+ Bank wants to use outbound communication channels for Next-Best-Action recommendations.

 Available Outbound Channels:

Mobile Application: Typically considered an inbound channel.

Google: Used for online advertising but not a direct outbound channel.

SMS: Commonly used outbound channel for direct customer communication.

Email: Widely used outbound channel for direct customer communication.

Contact Center: Usually an inbound channel where customers call in.

 Selection:

SMS and Email are the most suitable outbound channels for sending Next-Best-Action recommendations directly to customers.

 Verification from Pega Documentation:

Pega documentation on configuring and using SMS and Email as outbound channels for Next-Best-Action delivery.