"We see a lot of potential in Revolution’s big data package. In the past, people would say that R couldn’t handle big data. That was the number one excuse for not using R. Well, now R can handle big data because Revolution is tackling the problem."

"[Revolution DeployR provides] a web service that is platform independent, easy-to-use and a standard for integration."

"Northern Trust went to Revolution Analytics and asked if we could explore the opportunity to parallelize our Monte Carlo simulations."

"We use R for adaptive designs frequently because it’s the fastest tool to explore designs that interest us. Off-the-shelf software, gives you off-the-shelf options. Those are a good first order approximation, but if you really want to nail down a design, R is going to be the fastest way to …

"There are lots of good reasons to use Revolution Analytics in a super computer like Netezza. It’s faster and easier to program. It will speed up our computation. And, we have more data sets available to us because of how flexible and quick Revolution Analytics makes it to add and …

"What takes a day to do in Excel can be done in 15 minutes by writing a few lines of R code in Revolution R Enterprise."

"Once you know what is driving your marketing, you can better direct what treatments you are using for specific people."

"I use [Revolution R Enterprise] for building prototypes because it’s fast and easy to make adjustments. I can build the prototype and just let it run, because it’s very fast!"

"De facto, R is already a significant component of Pfizer core technology. Access to a supported version of R will allow us to keep pace with the growing use of R in the organization, and provides a path forward to use of R in regulated applications."

"We find two advantages to the Revolution Analytics and IBM framework: minimization of data transfer by moving the function to the data as well as the computation speedups associated with distribution of an embarrassingly parallel problem."

“The Revolution Analytics R framework and its seamless integration with solutions like IBM’s Netezza allow for rapid development and deployment of custom made high performance algorithms for big data analytics.”

“There are a few important benefits [of Revolution R Enterprise]…It’s really easy to develop and maintain for analysts. We don’t need a full time DBA to administer the IBM database appliance and don’t need a hardcore programmer to deploy our prediction functions. We’ve been able to scale our solution to …

"We need a high-performance analytics infrastructure because marketing optimization is a lot like a financial trading. By watching the market constantly for data or market condition updates, we can now identify opportunities for our clients that would otherwise be lost."

"After several years of data collection, crunching those numbers requires the use of a tremendous amount of memory at once. For that I use R Enterprise for 64-bit Windows. There are no limits on the amount of memory available. Prior to Revolution’s software development of R Enterprise for Windows, the …

"The Revolution R Enterprise 5.0 environment has delivered order of magnitude performance improvements, which has allowed our department to process four times the amount of analytics jobs. The researchers are now able to run, evaluate, modify and re-run their models multiple times to get more precise conclusions. It’s been amazing."