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Krenicki Center for Business Analytics & Machine Learning

Private and public enterprises are increasingly realizing the value of data as a strategic asset. Organizations with greater investment and focus in acquiring, managing and analyzing data to enhance decision-making achieve a competitive advantage over their peers.


Purdue University’s Krannert School of Management recognized as a leader in preparing analytical business leaders has launched a bold and comprehensive initiative, the Krenicki Center for Business Analytics and Machine Learning. Goals of the Krenicki Center are to…

  • benefit Krannert undergraduate and graduate students by engaging in cutting-edge research and experiential learning projects making Purdue a leader in STEM-based business education and research
  • assist organizations to deliver enhanced analytical research and high-value business capabilities in the data-driven world


Mission: Collaborating with faculty, students, industry and technology experts, and corporate partners, the Krenicki Center seeks utilize the vast amounts of data available today to enhance research, deliver strategic business capabilities, and disseminate state-of-the-art information technologies and analytical techniques.

Case Competition

This will be a case competition in the IT/analytics domain. It will be open to all full-time undergraduate and Master’s students irrespective of their majors. Teams of four students, with at least one from management/business, will participate in the competition. The competition will have two parts…

  • Intra-Purdue Competition: All participants will be from Purdue. Each team will analyze a case over four hours and submit a slide deck containing its analysis and recommendations. Based on an evaluation of these submissions, eight to 12 teams will be invited to make presentations in front of corporate judges. The best-performing four teams will be invited to participate in the second part of the competition, which will be a Purdue-IU case competition,
  • Purdue-IU case competition: Four Purdue teams will compete against four teams selected by IU. This competition will be similar in structure to the first one – each team will analyze a case over four hours (the case will, however, be different from the one used in the first competition). All eight teams from both universities will present their findings to corporate judges. In each part of the competition, the top three teams will receive lucrative cash awards.
    The sponsoring organization for either part is expected to contribute by providing one or more of the following: case scenario, judges, and funding for the awards and possibly to defray other expenses.

The sponsoring organization for either part is expected to contribute by providing one or more of the following: case scenario, judges, and funding for the awards and possibly to defray other expenses.

Dates:

  • Intra-Purdue competition: Between mid-September and mid-October, 2019
  • Purdue-IU competition: Between late October and mid-November, 2019

Locations:

  • Intra-Purdue competition: Purdue University campus, West Lafayette, Indiana
  • Purdue-IU competition: Indiana University in 2019 (the venue alternates between Purdue and IU)

Invitees: Participants, judges, possibly other representatives from the sponsoring organization, and appropriate Purdue and IU faculty and administrators

Financial Support:

  • Intra-Purdue competition: $10,000
  • Purdue-IU competition: $15,000

Custom Engagements

The Krenicki Center for Business Analytics and Machine Learning provides a team of faculty leaders, students, and industry experts to private and public enterprises on custom-defined engagements to deliver cutting-edge research and high-value consulting projects.

Research engagements provide enterprises with the experience and resources of Purdue, Krannert and the Krenicki Center to perform rich data analysis and develop methods and techniques leading to innovative approaches to solving complex business challenges.

Consulting projects can be oriented towards a variety of areas suited to clients’ needs such as…

  • building a data and technology infrastructure for architecting business analytics and machine learning solutions
  • apply data analytics to provide insights or machine learning to create enhanced business solutions in the areas of sales, marketing, product development, finance and operations
  • provide training and education to enterprises for an effective adoption of the technology, skills, and methods to build and utilize a data-driven culture utilizing business analytics and machine learning capabilities

Date: Ongoing

Location: As defined per contact

Financial Support: Per contractual terms per engagement

Data Dive

The data dive will require solving real-world business problems by analyzing large volumes of anonymized corporate data. It will be open to all full-time undergraduate and Master’s students irrespective of their majors. Interdisciplinary student teams of three to five members, with a minimum of one management/business student and one from another discipline, will participate in the competition. The actual competition will be conducted in one of two ways...

  • Intra-Purdue competition: Each team will have a couple of weeks to remotely work on a data analytics problem faced by a company utilizing a dataset supplied by the company. It will then submit its analysis and recommendations via a slide deck and possibly a short video presentation. Based on an evaluation of these submissions, six to eight teams will be invited to present their findings to a panel of judges consisting of executives from different organizations.
  • Inter-University Competition: Each participating university will be allowed to nominate one or two teams. These competitions will either be similar to how the intra-Purdue competition is conducted, with teams having a couple of weeks to work on the problem remotely or alternatively, all teams will work continuously for 24 hours on the Purdue campus and present their findings to a panel of judges afterward.

Irrespective of the nature of the competition, the top three teams will receive lucrative cash awards. The sponsoring organization is expected to provide data, business problem(s), judges, and possibly computing support, besides financially supporting the event.

Dates: Intra-Purdue competition: Early spring, 2020; Inter-university competition: Late spring, 2020

Location: Purdue University campus, West Lafayette, Indiana.

Invitees: Participants, judges, possibly other representatives from the sponsoring organization, computing personnel as necessary, and appropriate Purdue faculty and administrators.

Financial Support: Intra-Purdue competition: $10,000 - $15,000; Inter-university competition: $20,000 - $25,000 if analysis is performed remotely over a couple weeks, and $40,000 - $50,000 if analysis is performed at Purdue over a 24-hour period

Support Deadlines: Intra-Purdue competition: October 1, 2019; Inter-university competition: December 1, 2019

Recognition and Branding: The sponsor will be recognized in announcements, press releases, program descriptions, and possibly even in naming the conference (e.g. Purdue or Krannert Data Dive Sponsored by Sponsor Name). The participants will be an excellent source of potential recruits for the sponsoring organization.

Research Conference/Workshop

The research conference will 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. This conference will benefit attendees interested in data science from any discipline. The conference program will include

  • keynote presentations by well-known domain experts
  • several paper sessions, a poster session
  • one or two panels on emerging issues in data science

Papers and posters will be selected based on a careful review of the submissions. Submission will be open to researchers in all universities and other organizations. The event will span one and a half to two days and provide plenty of opportunities for dialogs and exchanging ideas. Participation will be restricted between 100 and 150 by registration on a first-come, first-serve basis. The funding from the sponsoring organization will be used to partially cover the expenses for a reception, meals, and other necessary arrangements.

Date: Between late May and late July, 2019.

Location: Purdue University campus, West Lafayette, Indiana.

Invitees: Keynote speakers, paper and poster presenters, panelists, interested faculty and students from Purdue and other universities, interested industry personnel, and other interested individuals.

Financial Support: $15,000 - $20,000.

Support Deadline: February 1, 2019.

Recognition and Branding: The sponsor will be recognized in announcements, press releases, program descriptions, and possibly even in naming the conference (e.g., Purdue or Krannert Data Science Conference Sponsored by Sponsor Name). This will be an excellent forum for the sponsoring organization, as well as other participants, to stay current in the rapidly evolving field of data analytics and big data.