Case Study: Global 50 Bank achieves real-time 360° master-data insights and mitigates borrower default risk with Neo4j

How Graph Technology & AI Helped a Global 50 Bank Lend in Latin America

A leading Global 50 bank in Latin America faced spiraling data volume and complexity amid a regional economic downturn, weaker creditor protections and high information asymmetry that made assessing borrower default risk impossible with legacy relational databases. Siloed systems and the need for real-time insights left the bank unable to quickly identify exposures or adjust lending decisions across diverse products and markets.

Partnering with Marionete, the bank implemented Neo4j to create a consolidated master-data blueprint and a 360° view of borrowers by linking disparate data sources into a graph. The solution now manages roughly 1 trillion relationships, delivers real-time analytics that reduce credit risk and improve decision-making, and provides a foundation for future AI and machine-learning enhancements.