Case Study: MediaMath achieves scalable, flexible self-service analytics on billions of records with Qubole

MediaMath Gives Clients Choice, Flexibility And Ownership Over Their Data And Insights With Qubole

MediaMath, a leading independent programmatic advertising company, needed to give its clients and analytics teams the freedom to run unlimited, complex analyses across billions of campaign records without performance or cost bottlenecks. To stay competitive and deliver self-service audience insights and campaign performance analysis at scale, MediaMath required a platform that could handle massive data volumes while offering flexibility, fast cycle times and efficient compute usage.

Since adopting Qubole in 2013, MediaMath has used its autoscaling, Spot-instance cost optimization and self-service tools to power products like Enriched Identity, Back Test Analysis and Audience Creation. The result: analysts and clients can query petabytes of data quickly and cheaply, uncover high-propensity audiences without expensive testing, improve targeting and campaign ROI, broaden internal and customer access to analytics, and accelerate sales conversations by offering a unique, scalable analytics capability.

MediaMath

John Slocum

VP, Data Management Platform