Revolution Analytics Vice President Neera Talbert says she has learned, for instance, that when India-based engineers nod, they aren't necessarily agreeing.
One of Revolution Analytics' earliest developers, for instance, works off a boat in Florida with a satellite connection to the Internet.
Why not instead, spend a fraction of that amount on technologies like Splunk, Revolution Analytics, 1010data, Pervasive Data Rush, QlikView, Tableau, and TIBCO Spotfire?
Last week, Revolution Analytics hired Dave Rich as its CEO.
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Cloudera and Revolution Analytics stand ready to sell you their products.
But on February 1st, he started a new job as CEO of Revolution Analytics, the company supporting, spreading, and enhancing R, the open-source statistics and predictive analytics programming language.
In this new business landscape where many activities take on the characteristics long associated only with financial trading, Revolution Analytics supplies tools for statistical analysis, a critical component of big data sometimes neglected by observers of the big data landscape.
Unlike early pioneers SAS and SPSS (now owned by IBM), Revolution Analytics fits the mold of other key new players in the big data world: it supports and sells the commercial version of an open-source product, built and nurtured over many years by a dedicated community of enthusiasts.
Aimed at the Wall Street crowd, the Cap Markets Guide features a similar mix of analyses from industry experts (Tabb Group, Accenture, Columbia University, Algorithmica Research, Aite Group and more), financial services vendors (Revolution Analytics, BT Global Services, Numerix, Deloitte, Panopticon Software AB, Algo Technologies and more) and Sybase executives.
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As the analytics revolution is building momentum on college campuses across the country, Major League Baseball needs to harness the vast amounts of data overwhelming the sport by effectively utilizing human capital.
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