Case Study: StubHub achieves real-time big-data insights and up to 90% fraud reduction with Oracle Advanced Analytics

StubHub Taps into Big Data for Insight into Millions of Customers’ Ticket-Buying Patterns, Fraud Detection, and Optimized Ticket Prices

StubHub, an eBay company and the world’s largest ticket marketplace, needed to scale analytics across millions of customers to support growth in sports, concert and live‑event ticketing. The company faced the challenge of processing big data from 25+ sources and delivering near‑real‑time insights for churn prediction, product recommendations and fraud detection while maintaining high performance and reliability.

StubHub implemented Oracle Database with Advanced Analytics, Partitioning, Active Data Guard and Oracle R Enterprise, completing the rollout in nine months. The in‑database analytics platform centralized data in a single warehouse, let data scientists build and deploy models directly on customer data, enabled lifetime‑value scoring for 180 million customers, and cut a fraud issue by up to 90%, while improving responsiveness, targeted promotions and scalable reporting.

StubHub

Mike Barber

Senior Manager of Data Science