{"id":26417,"date":"2016-03-07T09:22:12","date_gmt":"2016-03-07T14:22:12","guid":{"rendered":"https:\/\/biznews.fiu.edu\/?p=26417"},"modified":"2016-03-29T10:10:48","modified_gmt":"2016-03-29T14:10:48","slug":"fiu-business-data-panthers-win-u-s-leg-of-santander-neos-challenge-advance-to-madrid","status":"publish","type":"post","link":"https:\/\/biznews.fiu.edu\/2016\/03\/fiu-business-data-panthers-win-u-s-leg-of-santander-neos-challenge-advance-to-madrid\/","title":{"rendered":"FIU Business\u2019 \u201cData Panthers\u201d win U.S. leg of Santander NEO\u2019s Challenge, advance to Madrid."},"content":{"rendered":"
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While they study analytics every day, it\u2019s rare that students in FIU\u2019s Information Systems and Business Analytics Department (ISBA) have the chance to work with massive real-world financial data. That\u2019s why global financial giant Banco Santander\u2019s first Santander NEO\u00b4s Challenge<\/em>, an international university competition, posed an incredible opportunity to put their classroom knowledge to a professional test.<\/p>\n An FIU team, nicknamed the Data Panthers, took up the challenge. Weeks of hard work and complex problem solving paid off. The Madrid-based bank named the Data Panthers as the U.S. winner of the challenge. They now travel to Madrid in mid-March for the final round, matching wits against teams from Argentina, Chile, Spain, Mexico, Portugal.<\/p>\n \u201cWe\u2019re super excited,\u201d said Ph.D. candidate Arturo Castellanos. Joining Castellanos on the team were graduate students Ina Thakur and Gopala Krishna Medisetti, along with doctoral candidate Alfred Castillo. All team members belong to the Association for Information Systems student organization.<\/p>\n The opportunity arose after Aurora G. Morcillo, director of FIU\u2019s Spanish and Mediterranean Studies program, learned of the challenge, relaying the info to ISBA department chair Monica Chiarini Tremblay, who asked Gladys Simpson to get involved in her role as AIS faculty advisor.<\/p>\n The Madrid-headquartered bank asked participants to figure out, using millions of its transactions and other raw material, what elements predict a customer will either stay active, or become non-active.<\/p>\n