Case Study: NewDay achieves rapid interception of fraudulent credit card applications with TigerGraph Cloud

NewDay Intercepts Fraudulent Credit Card Applications with TigerGraph Cloud

NewDay, a UK financial services company with nearly £1B in revenue and eight million customers, faced rising fraud risk—especially from organized crime—across its credit card portfolios. Legacy relational databases could not scale to analyze the billions of rows of interconnected account and transaction data quickly enough, so NewDay selected TigerGraph (TigerGraph Cloud) for a faster, scalable graph analytics approach.

Using TigerGraph Cloud and its fraud starter kit, NewDay integrated siloed data, applied graph analytics and machine learning, and empowered fraud investigators to run near real-time, “train-of-thought” queries without developer support. TigerGraph enabled NewDay to check applications against known and emerging fraud syndicates faster than before, expose and shut down fraud rings, prevent fraudulent accounts from joining the network, and accelerate detection to help reduce losses across portfolios.

NewDay

Danny Clark

Head of Fraud Prevention