Case Study: a major credit reporting agency improves credit risk predictions with TigerGraph

Credit Agency links data silos across 4 degrees of separation with TigerGraph

A major credit agency, one of the world's largest consumer credit reporting agencies, faced the challenge of having its data segmented into multiple silos by industry. This prevented them from getting a complete view of a consumer's credit history across different types of purchases, such as mortgages and mobile phone plans. They sought a more efficient and thorough method to connect these silos and turned to TigerGraph for a solution.

The credit agency implemented TigerGraph after a thorough analysis of other graph databases. The TigerGraph platform connected all of their data silos, creating a data fabric that allowed them to cross-link a person’s various credit scores. As a result, the company now makes more accurate credit score predictions and provides a complete story of a consumer's riskiness. The solution also reduced the time and effort required for data analysis and scaled to support their requirement of 1,000 requests per second during peak times.