Pegasystems PEGAPCDC87V1 Exam Dumps

To implement the change in the threshold value for the USD 2000 credit limit from ''<175'' to ''<200'', as a Strategy Designer, you should change the cutoff value in the results tab of the scorecard decision component. This adjustment ensures that the decision logic used to automatically approve credit card limits reflects the new threshold, thereby updating the conditions under which customers qualify for the specified credit limit.

Understand the strategy objective: The decision strategy is designed to output the most profitable shoe. The profit is calculated as Profit = Price - Cost.

Evaluate the provided data:

Nike: Profit = $69 - $59 = $10

Adidas: Profit = $65 - $45 = $20

Puma: Profit = $85 - $65 = $20

Reebok: Profit = $75 - $50 = $25

Determine the most profitable shoe: According to the calculations, Reebok has the highest profit ($25).

Fill in the blank: Therefore, the output of the component in the blank space highlighted in red should be Reebok, which has the highest profit.

Reference: The strategy design and output decision rules are outlined in the sections on 'Understanding Next-Best-Action Designer arbitration' and 'Next-Best-Action strategy framework components' in the Pega Customer Decision Hub User Guide.

To prevent the same offer from being shown repeatedly to a customer, the correct suppression rule is to suppress an action for 10 days if there are five impressions for the web channel in the last 14 days. This ensures that after a customer has been presented with the same offer five times within a 14-day period, they will not see that offer for the next 10 days, thereby preventing offer fatigue.

When a customer is offered an action they have already accepted, it is typically because the decision strategy has not been configured to exclude such offers:

Strategy Customization:

Step 1: Ensure that the decision strategy includes logic to filter out actions that the customer has already accepted.

Step 2: Use customer interaction history to identify previously accepted offers and exclude them from the list of eligible actions.

Implementation Steps:

Step 1: Add a filter component in the strategy to check the customer's interaction history for accepted offers.

Step 2: Configure the filter to exclude any actions that match the accepted offers.

Step 3: Connect this filter to the rest of the strategy to ensure that only new or unaccepted actions are considered.

Benefits:

Customizing the strategy to exclude previously accepted offers improves customer experience by preventing redundant or irrelevant offers.

It ensures that customers are always presented with new and relevant opportunities, enhancing engagement and satisfaction.

Example:

If a customer has already accepted a credit card offer, the strategy should filter out this offer in future interactions to avoid presenting the same offer again.

Pega-Customer-Decision-Hub-User-Guide-85.pdf: 'Configuring Next-Best-Action Designer for Pega Customer Service' section.

Pega documentation on 'Creating and understanding decision strategies'.

Scorecard Rule - A scorecard in Pega is used to calculate a score based on various customer attributes. To include a new attribute (customer income), the scorecard rule must be updated.

Steps to Update Scorecard:

Navigate to the scorecard rule in Dev Studio.

Add a new input for customer income.

Define the scoring logic for the new input.

Save the updated scorecard.

Decision Strategy - The decision strategy that uses this scorecard must also be updated to ensure it correctly utilizes the new score calculations.

Steps to Update Decision Strategy:

Locate the decision strategy in the Next-Best-Action Designer.

Ensure the updated scorecard is referenced correctly.

Adjust any logic or thresholds that depend on the scorecard output.

Test the strategy to ensure it works as expected with the updated scorecard.

Pega Customer Decision Hub User Guide 8.6, Sections on 'Scorecard Rules' and 'Decision Strategies' provide guidance on updating and configuring these components.