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X+1 uses Revolution R Enterprise for Marketing Optimization

In a recent article at Statistics View, Lillian Pierson describes how the X+1 Origin Digital Marketing Hub helps companies like JP Morgan Chase and Verizon optimize their marketing efforts. Back in 2011, X+1 saw the need to update their analytics platform to deal with increasing data sizes and to serve the increasingly sophisticated needs of their marketing clients: What marketers really needed and wanted was to be able to get a better picture of what was happening with customers in real-time, but to do this required the ability to utilize terabytes of marketing campaign data in real-time analytic models. It was at this turning point where [X+1] executives clearly saw that they would have to reconfigure the platform’s analytic solution in order to produce the type of big data analytics that their clients were demanding.  The Revolution R Enterprise solution allowed [X+1] to scale out to support more hardware devices and increased the reliability of the growing [X+1] platform. [X+1]'s Chief Analytics Officer Leon Zemel described the benefits of switching from a legacy analytics platform to Revolution R Enterprise by saying, "We wanted to move to a more open platform that would allow us to continue to innovate without sacrificing performance or scalability. Revolution Analytics met that requirement and gave us additional opportunities to offer new capabilities to our clients." Learn more about how X+1 re-engineered their digital marketing application with Revolution R Enterprise at the link below. Statistics Views: How do you use Big Data to drive Marketing Optimization?

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid