• Use case: “As a Collections Manager, I want to use behavioral and risk scoring as well as segmentation, so that I can approach my customers more efficiently”.
• First idea: Try out different scores to create customer segments and proof by A/B experiments which approach is more efficient.
• Stack: Python, R, SQL, Machine Learning tools from 3rd party
• Business value: Reduce call-center costs by targeting efficiently while maintaining or increasing Paid-Back-Rate (PBR)