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?
"We wanted to move to a more open platform". They should used GnuR and a plethora of other open source tools out there. Revolution Analytics is definitely not open. They like to call themselves the Redhat of R but unlike Revolution R, Rhel is completely open - look at centos for example.
Posted by: Cat | July 10, 2013 at 06:05
@Cat, please see this post.
Posted by: David Smith | July 26, 2013 at 16:24