CHICAGO — The advertising company MediaMath is working with the hyperscale data analytics provider Ocient for campaign forecasting.
MediaMath selected Ocient’s data warehouse software to analyze “higher-resolution” data sets to deliver faster and more accurate on-demand insights, according to Ocient last month.
The engagement is intended to support new revenue opportunities for MediaMath.
MediaMath helps over 3,500 advertisers and handles over six million bid opportunities per second, with 10-12 PB of new records a day.
Previously, MediaMath was unable to query raw bidder log data at a “high-enough resolution and in interactive time.” The challenge led to pre-aggregation and estimating pipelines that “added cost and introduced technical limitations.”
Ocient’s hyperscale data analysis software is designed to “sample more data faster,” by streamlining the data path across continuous transformation, loading, storage, and analysis.
The software offers MediaMath the tools for campaign forecasting, from data ingest to insights, without the need to engineer a solution internally.
With Ocient, MediaMath is returning rapid and more granular insights to improve campaign effectiveness and return on investment (ROI) for customers.
Ocient’s software is supporting an “incredible new business opportunity for MediaMath,” said Chris Gladwin, co-founder and CEO, Ocient.
Anudit Vikram, chief product officer at MediaMath, said the company’s customers rely on it to “innovate continuously and bring more competitive insights across more screens and platforms faster than ever.”
“Working with Ocient enabled us to get to market months faster,” Vikram said.