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Business Information and Analytics Center (BIAC)

Private and public enterprises increasingly realize the value of data as a strategic asset. Organizations with significant investments in acquiring, managing and analyzing data to enhance decision-making are competitively advantaged over peers that may not devote sufficient attention and resources to these activities. To help organizations and individuals excel in the data-driven business world, Purdue University’s Krannert School of Management is pioneering a bold, comprehensive initiative - the Business Information and Analytics Center (BIAC).

All areas of Krannert have a strong interest in data-centric work and will benefit from the cutting-edge research and experiential learning projects for both undergraduate and graduate students that the BIAC will foster, making Purdue a leader in STEM-based business education and research.

Mission: Collaborating with faculty, students and corporate partners, the BIAC seeks to enhance research and dissemination of state-of-the-art information technologies and analytical techniques to utilize the vast amounts of data available today in order to deliver actionable insights into business decision making.

  • Case Competition

    This will be a business case competition in the IT/analytics domain between Purdue University and Indiana University. It will be open to undergraduate and Master’s students, and to all such students across each university irrespective of their disciplines. Teams of three to four students will participate in the competition. Each team will analyze a case over four hours and present their findings and recommendations in front of corporate judges afterward. A pre-competition will be held within each university well in advance of the final competition. Four teams selected from each intra-university pre-competition will compete in the final event. The sponsoring organization – for either the pre-competition or the final competition – is expected to contribute by providing one or more of the following: case scenario, judges, and funding for awards for the best-performing teams and possibly to defray other expenses.

    Dates: Pre-competition within Purdue: Between late September and early October 2017; Main Purdue-IU competition: Between late October and early November 2017

    Locations: Pre-competition: Purdue University campus, West Lafayette, Indiana; Main Purdue-IU competition: IU campus, Bloomington, Indiana.

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

    Financial Support: $7,500 - $10,000 for each part of the competition, i.e., the pre-competition within Purdue or the main Purdue-IU competition (in 2017, we will need sponsorship only for the pre-competition as IU will host the main competition)

    Support Deadlines: Pre-competition: July 1, 2017; Main competition: August 1, 2017 (in 2017, only the pre-competition deadline will matter as IU will sponsor the main completion)

    Recognition and Branding: The sponsor will be recognized in announcements, press releases, and program descriptions; participants will be an excellent source of potential recruits for the sponsoring organization.

  • Data Dive

    The data dive will require solving one or more real business problems by analyzing large volumes of anonymized corporate data. Participation will be by invitation, and invitations will be sent to Big-10 universities, universities with top-10 business analytics programs nationally, and possibly a few other universities with high reputation in IT and analytics. Teams of three to five undergraduate or Master's students from any discipline of the invited universities will be allowed to compete. The event will span 30-36 hours over a weekend, with teams working continuously from Saturday morning to Sunday morning and presenting their findings and recommendations in front of corporate judges afterward. A pre-competition will be held within Purdue well in advance of the main inter-university competition. The winning team(s) from the pre-competition will represent Purdue in the main competition. The sponsoring organization – for either the pre-competition or the main competition – Is expected to provide data, business problem(s), necessary computing support, and judges, besides financially supporting the event.

    Dates: Pre-competition within Purdue: Between late fall 2017 and early spring 2018; Main inter-university competition: Late spring 2018

    Location: For both pre-competition and main competition: Purdue University campus, West Lafayette, Indiana

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

    Financial Support: Pre-competition: $20,000 - $25,000; Main competition: $50,000 - $70,000

    Support Deadlines: Pre-competition: June 1, 2017; Main competition: September 1, 2017

    Recognition and Branding: The sponsor will be recognized in announcements, press releases, and program descriptions; participants will be an excellent source of potential recruits for the sponsoring organization

  • Research Conference/ Workshop

    The research conference (or workshop) will be on current trends in data analytics in general or on a specific theme in the data analytics sphere. It will include plenary sessions by well-known domain experts, plus presentations and panels by Purdue faculty, faculty from other universities, and corporate personnel. There may also be a few student sessions, where students from different universities, who are working on data analytics and related methodological advancements, will present their work. The event will span two days and provide plenty of opportunities for dialogs and exchanging ideas. Participation will be open to faculty and students of any university as well as employees of other organizations, but will be restricted to about 100 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 July and late August 2018

    Location: Purdue University campus, West Lafayette, Indiana

    Invitees: Speakers and panelists, interested faculty and students from Purdue and other universities, and interested corporate personnel (participation will be restricted to about 100)

    Financial Support: $10,000 - $15,000

    Support Deadline: April 1, 2018

    Recognition and Branding: The sponsor will be recognized in announcements, press releases, and program descriptions; 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.