Explaining Real-Time Predictive Analytics with Big Data [VIDEO]

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.

More Read

Competitive Intelligence and 6 Tips for Its Effective Use

Encryption is the key to the data kingdom

Twitter and Text Analysis to Help You Surf Through Traffic

Current Trends in Big Data Usage in Large Industries

Is Data Science a Liberal Art?

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.