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By Alyssa Eubank
ºù«ÍÞÊÓƵ News

DALLAS (ºù«ÍÞÊÓƵ) – Before spending a week at an ºù«ÍÞÊÓƵ/IBM data analytics camp, high school senior Suhas Tatapudi had no idea how much he would enjoy crunching the numbers in large data sets.

ºù«ÍÞÊÓƵ Ph.D. student Michael Fulmer describes a feature of the IBM SPSS Modeler with students Briana Johnson and Becky Bell.

“I was mainly interested in medicine,” he said.

Tatapudi was one of 20 students from DISD’s  chosen by their teachers to participate in an interactive four-day program, the , co-sponsored by the  in ºù«ÍÞÊÓƵ’s Dedman College.

A hybrid field, predictive analytics combines statistics, economics, mathematics and business techniques to analyze the large amounts of data analysts call “big data.” This data can include amount of traffic on company websites or frequency of repeat customers. Businesses then use the analyses to explore trends or probabilities and in turn make wise business decisions.

In a 2011 report by international consulting firm McKinsey and Company, researchers found that retailers making decisions based on big data could increase their operating profit margins by 60 percent. McKinsey’s research also predicted a shortage of 190,000 qualified data analysts by 2018.

“The work of skilled data and economics analysts can help create smarter government operations and enable businesses and individuals to make wiser decisions,” said Tom Fomby, professor of economics and director of the Richard B. Johnson ºù«ÍÞÊÓƵ for Economics in ºù«ÍÞÊÓƵ’s Dedman College.

Professor Tom Fomby explains a key part of data analytics with students Murali Subramanian and Patrick Moore.

Fomby helped create ºù«ÍÞÊÓƵ undergraduate and graduate programs in data analytics and is faculty adviser to two ºù«ÍÞÊÓƵ national championship data mining teams.

When Fomby learned of IBM summer programs for high school students, he approached Kevin Gilhooly and Lisa Barnes of Dallas’ IBM Innovation ºù«ÍÞÊÓƵ with his idea for an analytics camp. Together, the three began to coordinate camp logistics and curriculum for IBM’s first data analytics camp for high school students.

“ºù«ÍÞÊÓƵ was the perfect partner for this camp,” Gilhooly said. “Dr. Fomby's leadership in the analytics field and his familiarity with IBM predictive analytics software was an asset to planning and implementing the camp.”

IBM provided 20 laptop computers loaded with their data analytic software, the SPSS Modeler, primed for big data sets. ºù«ÍÞÊÓƵ provided camp facilities, leadership and guest speakers. Staff members from both groups assisted student groups in solving problems ranging from predicting insurance fraud to predicting loan defaults. At the end of the camp, the students presented their analysis to their peers and IBM executives at Dallas’ IBM Innovation ºù«ÍÞÊÓƵ in Coppell, Texas.

“Students with these analytical skills will have an edge in the job market,” Fomby said.

“I attended this camp because I wanted to learn about statistics,” Tatapudi said. “I didn’t realize I could use this type of analysis in lots of ways, including the medical field.”

Townview students with ºù«ÍÞÊÓƵ faculty and IBM staff in front of Dallas Hall.

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