StubHub Taps into Big Data for Insight into Millions of Customers’ Ticket-Buying Patterns, Fraud Detection, and Optimized Ticket Prices
By Mark Hornick on Jul 22, 2014
What can you use for a comprehensive platform for real-time analytics?
How do you drive company growth to leverage actions of millions of customers?
How can you process big data volumes for near-real-time recommendations and dramatically reduce fraud?
These questions, and others, posed challenges set by Stubhub. Read what Stubhub achieved with Oracle R Enterprise from the Oracle Advanced Analytics option to Oracle Database.
Mike Barber, Senior Manager of Data Science at StubHub said:
“Big data is having a tremendous impact on how we run our business. Oracle Database and its various options—including Oracle Advanced Analytics—combine high-performance data-mining functions with the open source R language to enable predictive analytics, data mining, text mining, statistical analysis, advanced numerical computations, and interactive graphics—all inside the database.”
Yadong Chen, Principal Architect, Data Systems at StubHub said:
“We considered solutions from several other vendors, but Oracle Database was a natural choice for us because it enabled us to run analytics at the data source. This capability, together with the integration of open source R with the database, ensured scalability and enabled near-real-time analytics capabilities."
Read the full press release here.