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Revolution Analytics recognized as vendor to watch in Hurwitz & Associates Inaugural Victory Index for Predictive Analytics
- - Revolution Analytics, the leading commercial provider of R software, services and support, today announced the company has been included in the inaugural Victory Index report from Hurwitz & Associates on Predictive Analytics. Revolution Analytics was among 12 companies to be evaluated and was recognized based on its expertise in predictive analytics based on the open source R language.
Revolution Analytics makes predictive analytics accessible to every type of user and budget through its flagship Revolution R product. Available in both a workstation version and an enterprise server offering, Revolution R is an affordable, next-generation predictive analytics platform that outperforms legacy solutions. Revolution R is designed to scale and meet the mission-critical production needs of large organizations such as Merck, Visa and Acxiom, while Revolution R Workstation offers productivity and development tools for individuals and small teams that need to build applications and analyze data.
Designed as a market research assessment tool, the Victory Index highlights both the diverse uses of predictive analytics technology such as predicting consumer behavior, conducting economic forecasting and identifying fraud, and the vendors who make those applications possible. Led by Hurwitz & Associates Partner, Dr. Fern Halper, the Predictive Analytics Victory Index examines the most critical trends for end users to consider and analyzes 12 vendor offerings in the market across four key dimensions: Vision, Viability, Validity and Value.
"The Revolution Analytics strategy is to provide ease of use around the R language, which makes sense given the increasing popularity of open source and the fact that many end users believe that R is not enterprise ready," said Fern Halper, report author. "They've made strong inroads on that front and we believe they're a company that warrants keeping a close eye on going forward."
"R is the most powerful statistics language on the planet and has emerged as a tool of choice for data scientists," said Norman Nie, Revolution Analytics CEO. "The rise of big data has brought about a cataclysmic shift in the analytics industry and there's an ever-increasing demand for extensible, flexible analytics tools. We've harnessed the power of R into an enterprise-ready software package to meet these needs, and it's a great honor to be recognized for our efforts to date."
Hurwitz & Associates is a strategy consulting, market research and analyst firm that focuses on how technology solutions solve real world customer problems. Hurwitz research concentrates on disruptive technologies, such as Cloud Computing, Service Oriented Architecture and Web 2.0, Service Management, Information Management, and Social and Collaborative Computing. Our experienced team merges deep technical and business expertise to deliver the actionable strategic advice clients demand. To learn more about our services please visit www.hurwitz.com.
About Revolution Analytics
Revolution Analytics is the leading commercial provider of software and services based on the open source R project for statistical computing. Led by predictive analytics pioneer Norman Nie, the company brings high performance productivity and enterprise readiness to R, the most powerful statistics language in the world, The company's flagship Revolution R product is designed to meet the production needs of large organizations in industries such as finance, life sciences, retail, manufacturing and media. Used by over 2 million analysts in academia and at cutting-edge companies such as Google, Bank of America and Acxiom, R has emerged as the standard of innovation in statistical analysis. Revolution Analytics is committed to fostering the continued growth of the R community through sponsorship of the Inside-R.org community site, funding worldwide R user groups and offers free licenses of Revolution R Enterprise to everyone in academia.
LEWIS Pulse PR for Revolution Analytics
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