Applications of R in Business Competition

Revolution Analytics is proud to announce the winners of the inaugural Applications of R in Business competition, which offered a total of $20,000 in cash prizes to the best examples of applying the R statistics language to real-world business problems.

The top prizes were selected by a panel of independent judges: Edd Dumbill, Chair of O'Reilly's Strata Conference and writer for O'Reilly Media; David Menninger, VP and Research Director at Ventana Research; Steve Miller, technology writer and co-founder of OpenBI LLC; David White, Senior Research Analyst at Aberdeen Group; and Hadley Wickham, R package author and professor at Rice University. Based on the judges’ aggregate scores, the winners are:

Grand Prize - $10,000

Shannon Terry and Ben Ogorek, Nationwide Insurance (USA)
A Direct Marketing In-flight Forecasting System

Runner Up Prize - $5,000

Jeffrey Breen, Atmosphere Research Group (USA)
Mining Twitter for Airline Consumer Sentiment

The following entries were selected for Honorable Mention prizes by Revolution Analytics:

Honorable Mention - $1,000

Hakan Koç and Bengt Maas, Salzgitter Mannesmann Forschung GmbH (Germany)
Towards an ideal steel plant - Online liquid steel temperature prediction using R

Honorable Mention - $1,000

Imre Kocsis, Kristóf Gáti, András Pataricza, and Gábor Horváth, Budapest University of Technology and Economics (Hungary)
Time Series Analysis and Order Prediction with R

Honorable Mention - $1,000

Stephen D. Simon, P.Mean Consulting / University of Missouri-Kansas City (USA)
Predict the duration of your clinical trial

Honorable Mention - $1,000

Shannon Terry and Ben Ogorek, Nationwide Insurance (USA)
Quantifying Uncertainty in IT Estimates

Honorable Mention - $1,000

Yihui Xie, PhD Candidate at Department of Statistics, Iowa State University (USA)
knitr: Elegant, flexible and fast dynamic report generation with R

 

Learn more about the winning entries in the slide show below:

Here at Revolution Analytics, we’d like to thank all of the data scientists who participated in our first R in Business competition and congratulate the winners. Each of the applications selected demonstrates how predictive analytics with R goes well beyond traditional business intelligence to empower business decision-makers to evaluate critical success factors within important business processes early and often. We see from the winning entries that a wide variety of industries and processes – from marketing, heavy manufacturing, clinical trial design, and IT project management all share a need for ongoing predictive analysis. Revolution Analytics delivers the only R-based enterprise analytics framework, and by examining undiscovered applications of the R language, Revolution Analytics can further refine R tools to meet all organizations’ deep analysis needs.

More information about R: