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Open Source Cloud Authors: Liz McMillan, Pat Romanski, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

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On the relevance of open source analytics

"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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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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