Case Study: DataSong achieves scalable big data marketing optimization with Revolution Analytics

A Revolution Analytics Case Study

Preview of the DataSong Case Study

UpStream Software's Big Data Analytics Platform for Marketing Optimization Helps Clients Understand Buying Behavior and Improve Customer Targeting

DataSong needed a scalable, high-performing big data analytics platform to help marketers understand buying behavior and improve customer targeting across many channels. Working with Revolution Analytics, the company used Revolution R Enterprise and Hadoop, including RevoScaleR, to build customized marketing attribution and optimization models for terabytes of customer data.

Revolution Analytics helped DataSong deploy a fast, enterprise-ready solution that improved performance by about 4x on 50 million records and enabled the platform to score 50 million records per day per client. The results included measurable business impact such as saving one client $270,000 on a campaign and driving a 14% revenue uplift for another.


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