"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."

"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 …

"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 began observing how much more quickly the open‐source community (in R and Python, specifically) was outpacing the analytical capacity of our commercial vendors. In an information and idea driven business, in which proprietary analytics are absolutely critical, we can’t afford to wait for commercial vendors to play catch‐up."

"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 …

"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."

"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."

"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 …

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

"Revolution R is faster than regular R. The faster we can analyze data, the less time it takes us to build our diagnostic algorithms."

"There is so much information out there that can make a quant’s life difficult. Revolution R Enterprise just works. It's like using standard R, but lets me use all 32GB of memory on my 64-bit Windows system. Without OneTick Database integrated with Revolution R, I simply could not do the …

“Sure there are other programming user groups in the quant finance world, but the community is certainly not like something I’ve ever seen in terms of just the amount of people. There’s a real collective sense of ownership for this thing. Because in the end, the data community does write …