To configure an ethical bias policy that allows no bias based on gender, use the 0.9-1.11 Rate Ratio:
* Understanding Rate Ratios:
* Step 1: Rate ratios are used to detect and measure bias in decision-making processes.
* Step 2: A rate ratio of 1 indicates perfect parity, meaning there is no bias between groups.
* Configuring Bias Detection:
* Step 1: In Pega Customer Decision Hub, you can configure bias detection by setting an acceptable rate ratio range.
* Step 2: To ensure no bias based on gender, set the rate ratio to a narrow range close to 1, such as
0.9-1.11. This range ensures that the decisioning process treats different genders fairly, with minimal deviation.
* Implementation:
* Step 1: Navigate to the Bias Detection settings within the Decision Strategy framework.
* Step 2: Set the rate ratio to 0.9-1.11 for gender to monitor and enforce non-discriminatory practices in presenting offers.
* Example:
* MyCo can use this configuration to ensure that their mobile data package offers for students do not exhibit gender bias, providing equal opportunities for both male and female students.
References:
* Pega-Customer-Decision-Hub-User-Guide-85.pdf: "Complying with policies or regulations by detecting unwanted bias" section.

Introduction to Group By and Filter Components:
* The Group By component groups data based on specified properties, allowing aggregation of data points.
* The Filter component is used to include or exclude actions based on specific criteria.
Dotted Line Relationship:
* In Pega's visual strategy canvas, a dotted line between two components indicates a reference relationship rather than a direct data flow.
* When a dotted line connects a Group By component to a Filter component, it signifies that the Filter component is using a property defined or aggregated in the Group By component.
Functionality Explanation:
* For example, if the Group By component aggregates customer data by region, the Filter component can then use this aggregated data to filter actions for specific regions.
* This relationship ensures that the filtering process considers the aggregated data, making the decision strategy more dynamic and contextually aware.
Verification from Pega Documentation:
* As outlined in Pega's documentation, a dotted line signifies that the Filter component references a property from the Group By component, enabling more complex and accurate decision-making processes.

To determine the label returned by a decision table for a customer with a credit score of 115 and an average balance of 15000, you need to examine the decision table rules. Based on the typical structure of decision tables, a credit score of 115 and an average balance of 15000 would fall within the ranges specified for the label 'B'.

Value Finder in Pega Customer Decision Hub identifies under-served customer segments and provides recommendations to optimize engagement policies. It helps in understanding how different customer groups are being served and suggests adjustments to engagement conditions to ensure a more inclusive and effective customer outreach.

Marketing and Sales Actions: Creating actions like "No annual fee credit card" and "1% cash back credit card" address different customer needs and stages in the customer lifecycle, including acquisition and engagement.
Full Customer Lifecycle: These actions involve marketing and sales efforts aimed at attracting and retaining customers by offering attractive benefits.