A recent press release reports, “TigerGraph, the only scalable graph database for the enterprise, today announced that Pagantis, a point of sale consumer finance platform for ecommerce in Europe, has chosen TigerGraph to streamline its customer experience. The move enables Pagantis to speed up its real-time risk-scoring and fraud prevention processes and reduce wait times on its application. Spain-based fintech, Pagantis, continues to grow steadily after closing over 75 million USD of financing, one of the highest financing rounds of the year in Spain. The relentless rise of ecommerce and increasing demand for faster and more flexible payment methods have contributed to the fintech’s internationalisation plans, which now provides automated, friction-free consumer credit for e-commerce transactions in Italy, France and Spain. Pagantis allows point of sale consumer finance platform for ecommerce, allows consumers to pay for goods and services in monthly installments with a fully automated, paperless process and provides ecommerce merchants with a simple onboarding process to offer instant consumer credit in conjunction with purchases.”

The release continues, “Pagantis is using TigerGraph to calculate a customer’s credit rating using all of their real-time activities as well as the historical context. A graph database is the only data model where each customer’s data entities are pre-connected offering a simplified way to analyse complex relationships. Performance is enhanced by TigerGraph’s Native Parallel Graph™ (NPG) design which focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. The result is a scalable, high-performance system that  allows Pagantis to quickly deliver real-time insights into complex relationship-based workflows that are common in tasks such as credit scoring, fraud detection, recommendation engines and risk analysis.”

Read more at Globe Newswire.

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