Home →
Business Intelligence →
Open Source R for Predictive Analytics
- On Way to Omni-Channel, Retailers Try Beacons and More
- Chief Data Officer Role Continues to Evolve
- What Is Sales Enablement Software and Do You Need It?
- 5 Ways to Use Virtual Reality in the Enterprise
- 8 Open Source BPM Software Options
- How HTAP Database Technology Can Help You
- 9 Apps Empowering Finance
Revolution Analytics plans to drive commercial adoption of the open source R statistics language.
According to Revolution Analytics, the company has plans to further drive commercial adoption of the open source R statistics language as the foundation of predictive analytics. The company has also announced that Revolution R Enterprise, designed for corporations, government agencies and academic researchers is now available free-of-charge to academic users.
"With over two million users worldwide, the open source R statistics language has become widely adopted among data analysts, statisticians and researchers for advanced computational analysis. Its power and extensibility has spawned a large and active developer community, which has created thousands of R packages that can implement virtually any known statistical analysis.
"Revolution R Enterprise is designed for corporations, government agencies and academic researchers that require the highest levels of performance, reliability and computational power for their large-scale data analysis. It is optimized to run the fastest computations of any R software on a wide range of platforms—and features a high-productivity visual development environment."
Read the Full Story at RevolutionAnalytics.com
This article was originally published on May 7, 2010
