The SAS Institute of North Carolina has recently announced that SMU’s Data Analytics team of students from the Department of Statistical Science is one of the top three finishers in the nation for the 2015 SAS Data Analytics Shootout. For the eighth year, SAS Institute and the Institute for Health and Business Insight has sponsored this competition for universities worldwide to provide an opportunity for each school to put their “big data” analytical skills to the test. The Analytics Shootout gives student and faculty teams the opportunity to solve a real-world analytics problem. Over 60 teams from a wide range of universities participated. The top three teams will be recognized and their order of finish announced at Analytics 2015, SAS' annual analytics conference, October 26-27 in Las Vegas, NV. SAS will make a donation to the top three teams' schools of up to $5,000.
Each team is presented a complex hypothetical business problem to solve. Data related to the problem is provided and the solution requires the selection and use of appropriate analytics and data mining methods using SAS software. This year’s competition involved the prediction of electrical energy generation and consumption.
The SMU team consisted of seven PhD and Master’s level students from the Department of Statistical Science. Team members included Dateng Li, Ryan McShane, Andrew Mitzel, Qian Wang, Lu Wang, Li Xue (Lily), Rui Yang, and Zhengyang Zhou. Team captain was Li Xue. The team was coached by faculty members Tony Ng, Alan Elliott, and Jim Hess.
SMU Team Photo
(Left to right) Alan Elliott, Tony Ng, Jim Hess, Li Xue (Lily), Ryan McShane, Rui Yang, Qian Wang, Dateng Li, and Zhengyang Zhou. Not pictured are Andrew Mitzel and Lu Wang.