l)+ Bank uses Pega Customer Decision Hub to approve credit card limit changes requested by customers automatically. A scorecard model determines the customer credit score. The automatic approval of credit card limits are processed based on the following criteria set by the bank.
The bank wants to change the threshold value for the USD2000 credit limit from <175 to <200. How do you implement this change?
The scorecard model determines the customer credit score based on various factors, such as income, expenses, assets, liabilities, etc. The scorecard model has a Results tab where you can define the cutoff values for different segments based on the credit score. To change the threshold value for the USD2000 credit limit from <175 to <200, you need to change the cutoff value in the Results tab of the scorecard model. Changing the cutoff value in the scorecard decision component, changing the condition in the strategy, or mapping the score value in the decision strategy will not affect the credit score calculation or segmentation.
U+ Bank, a retail bank, has recently implemented a project in which qualified customers see mortgage offers when they log in to the web self-service portal.
Currently, only the customers who satisfy the following engagement policy conditions receive the Fifteen-year fixed-rate mortgage offer:
The bank decides to make two changes:
1. Update the suitability condition for the Fifteen-year fixed-rate mortgage offer.
2. Introduce a new offer , Twenty-year fixed-rate mortgage.
The following table shows the new engagement policy conditions for both mortgage offers:
What is the best practice to fulfill this change management requirement in the Business Operations Environment?
U+ Bank has recently defined two contact policies:
1. Suppress a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days.
2. Suppress the Reward card offer, part of the credit card group, for 7 days if it is rejected twice in any channel in the last 7 days. Paul, an existing U+ Bank customer, no longer sees the Reward card offer. What is the reason that Paul cannot see the offer?
Paul cannot see the Reward card offer because he rejected other credit card offers twice on the web channel and once in contact center in the past 15 days. This triggers the first contact policy that suppresses a group of credit card offers for 30 days if any credit card offer is rejected three times in any channel in the past 15 days. The Reward card offer is part of the credit card group, so it is suppressed for Paul for 30 days. The second contact policy that suppresses the Reward card offer for 7 days if it is rejected twice in any channel in the last 7 days does not apply because Paul did not reject the Reward card offer twice in any channel in the last 7 days. Verified Reference: [Certified Pega Decisioning Consultant | Pega Academy], Suppression policies system Following is the description of the image that was sent with question no:5:
This is a screenshot of a table with four columns and two rows.
The table has a header row with white text on a blue background.
The header row reads ''Constraint name'', ''Constraint mode'', ''Constraint value'', and ''Channel''.
The second row has black text on a white background.
The second row reads ''Standard card'', ''Return any action that does not exceed'', ''100'', and ''Daily''.
The table has a gray border and a light blue background.
MyCo, a mobile company, uses Pega Customer Decision Hub to display offers to customers on its website. The company wants to present more relevant offers to customers based on customer behavior. The following diagram is the action hierarchy in the Next-Best-Action Designer.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
The company wants to present offers from both the groups and arbitrate across the two groups to select the best offer based on customer behavior.
As a decisioning architect, what do you configure to select the best offer from both groups based on customer behavior?
Pega Customer Decision Hub enables organizations to make Next-Best decisions. To which type of a decision is Next-Best-Action applied?
Next-Best-Action is a type of decision that involves selecting and prioritizing the most appropriate proposition for each customer at any given moment. Next-Best-Action can be applied to decisions that require customer-centricity, personalization, and contextualization. Determining if a borrower gets a loan is an example of such a decision, as it depends on the customer's attributes, behaviors, preferences, and needs. The other options are examples of decisions that are not related to customer interactions, but rather to operational or analytical processes. Verified Reference: [Pega Decisioning Consultant | Pega Academy]
