2020 Research Conference
Data Science for Business and Economics
The Next Generation of Analytics and Machine Learning
June 4 and 5, 2020
WHAT: The Biennial Research Conference on Data Science for Business and Economics is hosted this year by the John and Donna Krenicki Center for Business Analytics and Machine Learning at Purdue University’s Krannert School of Management. This year’s conference will focus on the future of analytics and machine learning and will feature interdisciplinary speakers from both industry and academia. We encourage talks that push the frontier of our understanding and help the complexity that many industry leaders and researchers are facing. The program will include several paper sessions, a poster session, and a round table lunch session bringing Industry and Academic Leaders together to discuss the emerging issues in analytics and machine learning.
WHEN: The conference will begin the afternoon of Thursday, June 4 and conclude the afternoon of Friday, June 5, 2020, on Purdue University’s campus in West Lafayette, Indiana. Social activities will include a business professional dinner for all registered attendees and distinguished guests in the evening of June 4. Continental breakfast and lunch will be provided on June 5.
WHO: A limited number of talks/papers and posters will be accepted for the conference. To propose a talk or poster, the author(s) should submit a one-page abstract by March 20, 2020. The authors of accepted talks and posters will be notified by April 20. The talks will be restricted to 20 minutes, with five additional minutes for Q&A. The poster presenter(s) will have 2 minutes to introduce their work to the audience. Details for submission may be found at https://easychair.org/cfp/2020PurdueResearchConference
REGISTRATION: One must register to attend the conference. The (non-refundable) registration fee is $150 per person, with a reduced fee of $75 per person for students. The registration deadline is May 22, 2020, but the authors of accepted papers/posters must register by May 8 (at least one author of every accepted submission must register for the submission to be included on the program.) The conference has limited capacity, and registration will be made on a first-come-first-serve basis until the capacity is reached. Registration is now open:
Esport Data Hackathon: 24 Hour Challenge
The winning team: team TSM.
Team members: Joshua Allen, Thomas Chen, Stefany go, Shubhankar Sinha and Patrick Tirtapraja.
Nov 9th - 10th, 2018
Purdue Krannert School of Management's Krenicki Center for Business Analytics & Machine Learning partnered with Discovery Park, Integrated Data Science Initiative (IDSI), and SportsUNITED to bring an exciting Esport Hackathon to the Mid-West. Centered on the Purdue University Campus, West Lafayette, IN teams competed in a 24-hour Challenge, using cutting-edge technology (Machine Learning, AI, AR/VR, NLP, Immersive Media, Machine Vision, Blockchain) to develop innovative data solutions that solve problems for Data Visualizations and Predictive Analytics to support Fan Experience, eAthlete Training & Performance.
The photo is of winning team along with Krenicki Center Director Karthik Kannan, BAIM Program Director Matthew Lanham, and SportsUnited Rep Oliver Wells.
Go to the link for more information:
Purdue/IU Case Challenge Sponsored by Eli Lilly
Nov 9th - 10th, 2018
All participants of Purdue/IU Case challenge
The winning team of Purdue/IU Case Challenge
STAMINA4- IT/Analytics Case Challenge
The winning team along with our corporate judges and Krenicki center director
Similar to real-world business projects, the STAMINA4 case competition is an intensive, experiential learning opportunity that allows students to showcase their critical thinking and analytical abilities, communicate their ideas, and demonstrate mental tenacity. STAMINA4 participants only have four hours to analyze a case and create a presentation to share their recommendations.
The STAMINA4 IT/Analytics Winning Teams:
1st place Team Analytica consisting of team members: Juilee Bhosale, Kiran Samayam, Lorena Bustamante and Sonia Daryani.
2nd place Team Savy consisting of team members: Ananth Nath, Shubham Gupta, Vijaya Rani and Yuvraj Gupta.
3rd place J.A.K.Z Consulting Group: Alec Riedman, Joseph Sawicki, Kristen Scully and Zoe Jordan.
4th place Winter is Coming: Fandy Fauzi, Jung Choi, Priyanka Jain and Srijan Saurabh.
The photo is the winning team along with our corporate judges and Krenicki center director Karthik Kannan; Clare Harshey with Crane Division, Susan Rowe with Ogilvy Neo, Dave Suwanski with Nielsen and Bhagat Kandula with Wabash National.
Data Science for Business and Economics Conference
May 24th - 26th, 2018
The objective of this conference was to feature speakers from business, economics, statistics, computer science, engineering, and other areas as they explore the use of data science to solve real-world problems.
2017 Dawn or Doom Data Dive
Krannert School of Management's Krenicki Center for Business Analytics & Machine Learning and Information Technology at Purdue (ITaP) recently joined together to offer a unique opportunity to Purdue's full time undergraduate and Master's students to work on a real-world data analytics problem faced by CISCO, utilizing a dataset provided by the company. Interdisciplinary student teams analyzed the dataset to come up with recommendations. The top seven teams presented their findings to a panel of judges consisting of senior executives. The winning team was KIME Consulting comprised of Chung Tang from Krannert School of Management, Qi Meng from The College of Science, Ruoxuan Zhao from Krannert School of Management and Xin Wei from The college of Health and Human Sciences.
Winning team KIME Consulting being presented with their winning check by Krenicki center Chair Professor Prabuddha De and ITAP Vice President and System Chief Officer Gerry McCartney along with Corporate Judges Jeff Cristee with CISCO, Vinu Thomas with Presido; Dewand Neely with the State of Indiana and event organizer Associate Professor of Management Mohammad Rahman.
2017 Dawn or Doom Date Dive Presentations
2017 STAMINA4 IT/Analytics
2017 STAMINA4 IT/ANALYTICS winning team including two of our corporate judges; Dave Suwanski with Nielsen Company and Mike Courtney with Accenture Operations;
Winning team members were:
Mike Hansen (missing from the picture)
Krannert-Walmart Data Dive
April 2-3, 2016
Teams from Northwestern University and the Georgia Institute of Technology won the inaugural Krannert-Walmart Data Dive on the campus of Purdue University on April 2-3. Each team took home $5,000 in prize money.
A total of 17 teams from 11 universities took part in the competition. Graduate and undergraduate students used Walmart trend data and were tasked with developing solutions in two areas—customer segmentation and predicting products for efficient shelf space usage.
Several Walmart executives were on hand for the 24-hour competition, including Karenann Terrell, executive vice president and chief information officer.
“You won’t find the kind of commitment these students displayed during the competition very often,” Terrell said. “I was incredibly impressed by the breadth and insight of the questions we were asked.”
For Northwestern student Eric Lundquist, who was part of the winning team in customer segmentation, the competition provided real-world perspective to what he is learning in the classroom.
“Statistics are only useful in the extent to which they provide business value and can be communicated clearly and understood fully. We spend a lot of time considering the business value and actionability of our approach, which is something that doesn’t always come up in some of our more technical academic coursework,” Lundquist said.
Georgia Tech’s Brian Burns said his team found the large amount of information allowed them to drill deeper into the company’s issues. “I’ve had experience with data-driven decisions prior to this competition, but what Walmart’s data set highlighted is that strategic decisions can become more granular as the volume and variety of information becomes larger,” Burns said.
In addition to the winning schools and the host team from Purdue, the competitors included entries from Indiana University, Michigan State University, Ohio State University, University of Illinois at Champaign-Urbana, University of Iowa, University of Maryland, University of Rochester and University of Texas-Dallas.
The competition is believed to be the first data dive on a college campus. It was organized by Mohammad Rahman, associate professor of management at Purdue’s Krannert School of Management, and was the first major activity conducted by Purdue’s Krenicki Center for Business Analytics & Machine Learning.Read more