R-evolutionizing predictive analytics

The R open-source data mining language is quickly becoming the lingua franca of the budget-constrained data analyst who wants to harness the power of predictive analysis without a steep, complex, and expensive learning curve. Taking advantage of a gap in the market, Revolution Analytics was formed to commercialize R and raise its applicability in commercial settings. The company recently relaunched itself as an open-source commercialization company. It comes armed with an aggressive business strategy and product roadmap for 2010 aimed at bringing professional-grade performance and scalability and greater ease of use and productivity to predictive analytics.

Revolution Analytics is working off a solid foundation. R has always enjoyed a thriving open-source development community. It is now also gaining the serious attention of IT-savvy organizations such as Pfizer, Bank of America, and Google, which use the software for diverse applications such as discovering the next big drug, optimizing financial models, or managing online ad fees.