China Daily Global Edition (USA)

Analytical talent showcased at mass student contest

- By ZHENG YIRAN zhengyiran@chinadaily.com.cn

US headquarte­red data analysis company SAS says it is committed to nurturing new analytical talent, after hosting its biggest ever student competitio­n event in China.

The firm has just wrapped up this year’s “SAS China Data Analytics Championsh­ip”, an annual nonprofit competitio­n designed for Chinese college students majoring in analytics related specialtie­s. The competitio­n has been successful­ly held for six years since 2013, growing from less than 100 participat­ing teams into an industry education integratio­n and exchange platform recognized by China’s education industry and the data analytics sector.

This year’s event attracted nearly 1,300 participat­ing teams from famous universiti­es throughout the country, such as Tsinghua University, Peking University and Fudan University, and featured a record turnout of more than 3,600 participat­ing students.

The goal of the competitio­n is to promote Chinese universiti­es’ awareness of data analytics,

encourage college students to learn data analytics know how and apply it to practice, drive organic integratio­n of the data analytics industry and higher education, and reserve outstandin­g talents and stimulate their innovation for the future developmen­t of the data analytics industry.

“The competitio­n gives us an opportunit­y and platform to challenge the brightest minds in China, to see how we can use data better, to see how we can learn and master data, analytics and apply the ability for a better future,” said Terence Wee, vice president of SAS Asia Pacific.

“Also, we know the market is very short of analytic talent. This is also an opportunit­y for us to bring the talents together to do two things: show the talents to future employers and let the market

recognize, observe and pick up the talents,” he said.

Catherine Truxillo, director of advanced analytics education with SAS, noted that “The ultimate goal of training either big data talents, or other specialist­s, is to provide each of them the skills they need to promote the transforma­tion and upgrading of various industries.

Every enterprise should focus on social enterprise responsibi­lity, pay special attention to talent training, promote the integratio­n of industry and education, and thus truly realize sustainabl­e developmen­t of both talents and the analytics industry.”

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