20 Revolution Analytics Testimonials

"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."

"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."

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

"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."

"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 do that."

"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!"

"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."

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

"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."

"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 only alternative was Linux, and that was just not practical."

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

"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 a problem that’s so big that most companies could not address it. If we had to go with a different solution we wouldn’t be as efficient as we are now.”

"At the end of the day, our job isn’t about the programming and it isn’t about the system. It’s about getting the work done. I’m all in favor of the solution that lets me get the work done quickly and easily. We’ve been able to do something that we can’t really do otherwise. The speed is pretty remarkable."