Video | Financial Institution Optimizes Customer Relationship Value through AI and Innovative Data Approach

A financial institution needed to effectively assign its relationship managers to optimize service, balance resource workloads and maximize revenue. We helped them develop a graph data structure and algorithms in the Microsoft Azure environment to organize and analyze nested banking customer relationships. This reduced daily data processing time by nearly 96% and automated more than 90% of client relationship management assignments. This banking client now leads the way in financial services innovation, thanks to its data-driven design, mapping and staffing of customer relationships and account management. Read the full story to learn how we help our clients leverage data and AI/ML to improve their customer relationships, data-driven insights and increase revenue generation.

Hear how developing a graph data structure and algorithms in the Microsoft Azure environment helped assign relationship managers to optimize service, balance resource workloads and maximize revenue. Read the full story to learn more about how this project reduced daily data processing time by nearly 96% and automated more than 90% of client relationship management assignments.