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 too often used as mere buzzwords: predictive analytics, real time, and big data.
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 too 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.
