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.
David - Simple, clear and focused! And, thanks for the SlideShare images. Understanding real-time, big data, and predictive analytics in the same context is probably the greatest challenge for executives today. What is the business value for all this strange sounding technology? Your talk asked that question using personal examples. Thanks...
Posted by: Richard Hackathorn | May 07, 2013 at 19:44