Unfortunately, it is clear now that due to the COVID19 epidemic that we must postpone the 2020 Data Science for Business and Economics Research Conference that was scheduled for June 4 and 5. The safety and well-being of all conference participants is Purdue’s number one priority and the decision was recently made to postpone all events that were scheduled through June 30.
We are hoping to reschedule the conference for later in 2020 but with the current unknowns regarding the virus and with many others rescheduling events for the fall, we may need to look at spring 2021.
Those who have already registered for the conference will receive a full refund within 4-6 weeks. The refund will be made to your original origin of payment.
We regret any inconvenience this may cause. If you have any questions please contact Kami Copas firstname.lastname@example.org
2020 Research Conference
Data Science for Business and Economics
The Next Generation of Analytics and Machine Learning
The John and Donna Krenicki Center for Business Analytics and Machine Learning is proud to host the Biennial Data Science for Business and Economics Research Conference. This year’s conference will focus on the future of analytics and machine learning and will feature interdisciplinary speakers from business, economics, computer science, statistics, and other areas. We encourage talks that push the frontier of our understanding and/or help tame the complexity of data analyses for business decision making via theoretical and empirical studies or foundational discoveries. 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. Academic Keynote speakers are Pradeep Chintagunta (University of Chicago), Anindya Ghose (New York University), and Tim Roughgarden (Columbia University). Industry Speakers on data privacy and policies include: Tom Aliff (Equifax), and Zach Walz (Google).
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