Case Study: NewDay prevents fraudulent credit card applications with TigerGraph Savanna

A TigerGraph Case Study

Preview of the NewDay Case Study

NewDay intercepts fraud faster across 8 million consumers with TigerGraph

NewDay, a UK financial services company with revenues approaching £1 billion, faced a high risk of fraudulent credit card applications, especially from organized crime syndicates. Their legacy systems were unable to analyze large volumes of data at the speed required to intercept these fraudsters quickly. To address this challenge, they turned to vendor TigerGraph for a solution using their TigerGraph Savanna platform.

The solution implemented by TigerGraph integrated data from multiple silos and utilized advanced analytics to find connections between known and suspected fraudulent accounts. This allowed NewDay's fraud team to autonomously tune queries in near real-time. As a result, NewDay is now able to identify and prevent fraudsters from joining their network faster than ever before, reducing losses by exposing fraud rings and shutting down fraudulent accounts.


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