Explaining real-time predictive analytics with big data (video)

May 6, 2013
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(This article was first published on Revolutions, and kindly contributed to R-bloggers)

In my presentation to the Strata Santa Clara 2013 conference earlier this year, my goal was to give a succinct (under 20 minutes!) explanation of three terms that are two often used as mere buzzwords: predictive analytics, real time, and big data.

 

You can download the slides for my presentation, Real-time Big Data Analytics: From Deployment to Production, from SlideShare.

In the talk I referenced the example UpStream Software's marketing attribution model. Last week I posted some details of how they used R to create and deploy the model for clients like Williams Sonoma, so follow that link if you're interested in the details.

I didn't have much time to get into why I believe that the R language is the ideal environment for creating such models, but I go into more depth in this longer version of the presentation.

To leave a comment for the author, please follow the link and comment on his blog: Revolutions.

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