Open Source Analytics Offer Cost-Effective Choice for Marketing Automation Leader
Marketo uses Revolution R Enterprise for Building Prototypes Rapidly & Cost-Effectively
More than one trillion dollars is spent annually to generate sales leads, but most of the leads generated are never followed up upon. Marketo, the global leader in Revenue Performance Management solutions, offers a fix to this problem. Its marketing automation and sales solutions help marketing and sales teams work together more effectively to generate greater revenue for businesses.
The modern global economy has created an explosion of data. As data sets become larger and more complex, analysts look for software solutions that are both fast and cost-effective. Open source techniques based on R, a programming language designed specifically for data analysis, offer users the speed, agility and economy required to handle today’s larger ‘Big Data’ sets.
Yan Zou, Marketo’s principal research analyst, uses programs and packages written in R. “I learned R in a stat class in graduate school. I find it very easy to program and use,” says Yan.
On a typical day, she analyzes data to spot trends and patterns. She typically works on a variety of problems, and uses R for a wide range of programming operations—from regression analysis to forecasting.
She uses Revolution R Enterprise, enhanced R-based software from Revolution Analytics , to model data and build prototypes, quickly and efficiently.
“I use it for data exploration and data mining,” says Yan. “I use it 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 speed and utility of Revolution R Enterprise, along with its user-friendly features such as built-in debugging, make it an ideal workhorse for industrial-strength data crunching.
“I love the IDE because it lets me see my code much more easily, and it is similar enough to Microsoft Visual Studio that it feels familiar and easy-to-use,” says Yan.
She is also impressed by the ROI of Revolution R Enterprise. “It’s very effective and it really lets us build prototypes fast. That’s important to us.”
The results of employing open source R and Revolution R Enterprise have been positive. Yan can build models and prototypes quickly and cost-effectively. “It’s really very good across a wide range of functions, and that makes it very useful to us,” she says. “Revolution R Enterprise is very cost-effective, which is one of the reasons we picked the product.”
For the moment, she uses Revolution R Enterprise primarily for data exploration, but she is looking forward to using it for more advanced tasks in the future.
About Revolution Analytics
Revolution Analytics was founded in 2007 to foster the R community, as well as support the growing needs of commercial users. Our name derives from combining the letter "R" with the word "evolution." It speaks to the ongoing development of the R language from an open-source academic research tool into commercial applications for industrial use.
Though our Revolution R products, we aim to make the power of predictive analytics accessible to every type of user & budget. We provide free and premium software and services that bring high-performance, productivity and ease-of-use to R – enabling statisticians and scientists to derive greater meaning from large sets of critical data in record time.
We also offer our full-featured production-grade software to the academic community for FREE, in order to support the continued spread of R's popularity to the next generation of analysts.
For customers such as Pfizer, Novartis, Yale Cancer Center, Bank of America and others, our flagship Revolution R Enterprise product stands for faster drug development, reduced time of data analysis, and more powerful and efficient financial models.