Call for Teams - Data Mining Competition Now Open


SAS and The Institute for Health and Business Insight are teaming up to offer the analytics academic community an opportunity to put their analytical skills to the test. The Analytics Shootout gives student and faculty teams the opportunity to solve a real-world analytics problem.

The Analytics Shootout is a great way to demonstrate your modeling skills and gain recognition. You also have the chance to win a trip to the Analytics 2014 Conference and a monetary donation for your school!

Who Can Enter

Student and faculty teams from any accredited college or university in the United States. See official rules (.pdf).

Nature of the Competition

Teams will be given a hypothetical, but common business problem to solve. Data will be provided and the solution will require the selection and use of appropriate analytics and data mining methods using SAS software.


The top three teams will be honored as the Analytics Shootout Winners at Analytics 2014, featured in external press communications, and in SAS and The Institute for Health and Business Insight publications. Members of leading teams will also have opportunities to win great prizes, including an all-expenses paid trip for one team member and the faculty sponsor to Las Vegas to attend and present at Analytics 2014, October 20-21, 2014. The top three teams' universities will also receive donations from SAS.

For more  information visit  the competition page.

The timeline for the Analytics Shootout is as follows:

 Jan. 27 - registration opens

Feb. 27 - Q&A session

April 10 - Q&A session

May 1 - Registration deadline

May 27 - Deadline to make changes to team participants

June 3 - Submission deadline

Aug. 11 - Winning teams announced

 Gather your teams and register today!


About Author

Catherine Gihlstorf

Senior Academic Program Manager

Catherine GIhlstorf is the Senior Academic Program Manager for the SAS Global Academic Program. She partners with professors, universities and students to grow the next generation of analytical talent.

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