On the relevance of open source analytics

June 6, 2014
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

"A growing body of evidence that indicates that the most meaningful way to access predictive analytics and enhance the reputation of Data Science is through open source analytics, which greatly hinges upon the free open source programming language R", according to Dataversity in the recent article "The Relevance of Open Source (Advanced) Analytics". The article also includes several business use cases for R. I was also interviewed for the article, and when asked why companies should invest in R as a data science platform, this was my reply:

“Investing in R, whether from the point of view of an individual Data Scientist or a company as a whole is always going to pay off because R is always available. If you’ve got a Data Scientist new to an organization, you can always use R. If you’re a company and you’re putting your practice on R, R is always going to be available. And, there’s also an ecosystem of companies built up around R including Revolution Enterprise to help organizations implement R into their machine critical production processes.”

You can read the entire article at the link below.

Dataversity: The Relevance of Open Source (Advanced) Analytics

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