Pages

Sunday, 7 February 2016

SAS announces winners of SAS-SMU Analytics Competition

Source: SAS. SAS-SMU Analytics Competition teams and organisers.
Source: SAS. SAS-SMU Analytics Competition teams
and organisers.
Team TriSAS has emerged as the champion against five other finalists in the SAS-SMU Analytics Competition, co-organised by SAS, the Singapore Management University (SMU) School of Information Systems, and the Business Intelligence and Analytics Student Club at SMU.

“As Singapore moves towards its Smart Nation vision, skills in analytics will continue to be in high demand. By exposing these students to opportunities where they can apply their skills to current issues, it will help them understand the skillsets required, and hopefully inspire them to continue exploring a career as an analytics expert, said Francis Fong, Managing Director, SAS Singapore. “We have been working closely with SMU and the education sector to support the schools’ curriculum, provide opportunities for internships and we are committed to continue in grooming Singapore’s future talent.”

Open to students across the six schools at SMU: Accountancy, Business, Information Systems, Economics, Law and Social Sciences, the competition tasked participating teams to identify opportunities in the mobile technology industry, using a dataset that comprised more than 900,000 comments related to mobile phones for the past 15 years. The students were given two weeks to analyse the data using a suite of SAS analytics tools, including visual analytics and text analytics, to come up with actionable insights.

Team TriSAS comprised of third-year students from SMU’s School of Information Systems Ranon Sim and Vincent Tatan, as well as final-year School of Business student Smeet Malvania. The judges were impressed by their clarity in conveying the essentials of the “who, what, where, why and how” of the case challenge in both their analytics investigation and their presentation. According to the judges, they did the best job of all the teams uncovering rich, actionable insights from the large data set provided by SAS.

No comments:

Post a Comment