Earlier this month Thomas Dinsmore, solutions architect for IBM Netezza’s Advanced Analytics team, had a great blog post on why companies should embrace R as an analytics platform. He says:
There are three main reasons R should be part of your enterprise analytics architecture:
- R has capabilities not available in commercial analytics software
- Usage of R by analysts is growing rapidly
- R’s total cost of ownership is attractive
He also mentioned a great example of why companies are turning to R software for access to the statistical techniques they need:
A customer we’re working with in the life sciences industry wants to apply four new methods to their analytic toolkit. This customer spends almost a billion dollars each year to run hundreds of thousands of experiments; very small improvements in precision directly impact this customer’s bottom line. Right now, all of these new methods are available in R, and none are available in commercial packages.
The post also mentions the partnership between IBM Netezza and Revolution Analytics, which will soon bring in-database analytics based on R to the Netezza appliance.
Netezza Blogs: Embrace Open Source Analytics