U+ Bank uses a Next-Best-Action decision strategy to automatically approve credit card limit changes requested by customers. 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 USD 2000 credit limit from ''<175'' to ''<200''.
As a Strategy Designer, how do you implement this change?
A bank developed a scorecard to automate the loan approval process. In a decision strategy, how do you use the raw score value computed by the scorecard?
A bank is currently doing cross-sell on the web by showing various credit cards to its customers. Due to the credit limits of each card, the bank wants to present credit cards only to suitable customers who have a credit score greater than 500. Which component helps you to calculate a customer's credit score?
U+ Bank has several eligibility criteria defined using an eligibility strategy. The eligibility strategy uses a scorecard rule to determine the customer credit score. The bank wants to update the scorecard to include customer income in the credit score calculations. How do you implement this change?
U+ Bank, a retail bank, offers the Standard card, the Rewards card and the Rewards Plus card to its customers. The bank wants to display the banner for the offer that each customer is most likely to click; therefore, their Arbitration uses Propensity from the AI models. If you are debugging the Next-Best-Action decision strategy, which strategy component will show you if the result of the Arbitration is correct?