Really pleased with how our webinar today, Supercharge BI and Dashboards with Predictive Analytics, turned out. Steve Miller from OpenBI gave a great introduction to the motivations and need for predictive analytics. Andrew Lampitt from Jaspersoft was next up, with an overview of the Jaspersoft system for BI reports and dashboards. My section focused mainly on R and its capabilities for data visualization and predictive analytics (i.e. statistical modeling), plus some of the enhanced capabilities of Revolution R. Steve wrapped everything together with a very cool demonstration of using a simple interface in Jaspersoft to segment the Current Population Survey data set and compare various models of the subsets (GAMs, MARS, and quantile regressions, to name just a couple) using Trellis graphics.
It was a record-breaking webinar in terms of attendance too -- it seems like there's real interest in integrating R-based analytics into BI systems. If you missed it, don't worry: the slides and a replay (in WMV format) are now available for download from the link below. In particular, check out the links in Steve's slides, where he provides some great resources on BI books and predictive methods in R.
Revolution Analytics webinars: Supercharge BI and Dashboards with Predictive Analytics
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Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
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Supercharging business analytics with R: Really pleased with how our webinar today… [link to post] #rstats
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