Official Rules

Responding to COVID-19

The Humana-Mays Healthcare Analytics Competition is adapting to the challenges presented by the COVID-19 pandemic. Due to the pandemic, the case competition will be held virtually.

Eligibility

Students enrolled part- or full-time in an accredited Master of Science, Master of Arts, Master of Information Systems, Master of Public Health, Master of Business Administration program, or other similar master’s programs that educate students in business, health care, or analytics at an educational institution based in the United States are eligible to enter.  Students must be currently enrolled and must not have graduated from the qualifying program at the time of the final case competition presentations. Employees of Humana Inc. are not eligible to participate.

Teams

Teams must be made up of either 2 or 3 participants from the same school. Although multiple teams from the same school may enter the competition, a student may not be on more than one team.  If a participant drops out of the competition, no substitution is permitted.  If the team falls below the 2-person minimum due to a member leaving, the team is no longer eligible to compete.  To be eligible, teams must submit each team member’s name, student email address, telephone number, and signed Non-Disclosure Agreement by the deadline below.

Key Dates

September 9, 2020
 

Case competition kickoff virtual information session at 4:00 p.m. CT (session will be recorded and posted within 3 business days on the competition website – Humana-Mays Healthcare Analytics Case Competition – for those who cannot attend)

September 18, 2020
 

Deadline to submit your team information and signed Non-Disclosure Agreements to Humana-Mays Healthcare Analytics Case Competition by 5:00 p.m. CT. Dataset will be provided to team once that team’s information and signed Non-Disclosure Agreements are received

September 28, 2020
 

Virtual pre-submission workshop at 4:00 p.m. CT (Q&A with a Humana Analytics Professional) (workshop will be recorded for teams that cannot attend and posted within 3 business days on the competition website: Humana-Mays Healthcare Analytics Case Competition)

October 11, 2020

Deadline to submit your team’s completed submission to Humana-Mays Healthcare Analytics Case Competition by 11:59 p.m. CT

October 14, 2020

50 Teams advancing to Round Two notified

October 23, 2020
 

Finalists notified

October 26, 2020

Deadline to confirm availability by email to humanacasecomp@tamu.edu to present in Round Three

November 10, 2020
 

Deadline to submit presentation electronically to Humana-Mays Healthcare Analytics Case Competition by 5:00 p.m. CT

November 11, 2020

Virtual reception for finalists and Humana and TAMU professionals

November 12, 2020

Finalists present virtually to an executive panel of experts

November 12, 2020

Winners chosen and announced

December 15, 2020
(approximate)

Prizes awarded to winning teams

Judging

Entries will be judged in three rounds.

The problem set rules and guidelines are designed to be ambiguous to mimic a real-world business problem that is not thoroughly defined.

  • Students are encouraged to use Stack Overflow, Google, etc., for questions about analytical best practices.
  • Students may use any of the following analytical tools: SAS, SPSS, R, Python, Matlab, and Microsoft Excel.

Round One

The submissions for Round One are written reports that showcase the results of the data analysis and business solutions.  This round is a simple quantitative evaluation of a team’s solution based on its ability to accurately predict the specific business issue.

  • Submissions will be evaluated based on accuracy of the model using a predicted score provided by the team and comparing the score to the known result, held by Humana.
  • The top 50 most accurate solutions (meeting all other eligibility criteria) will advance to Round Two. If there is a tie for the 50th spot, all teams tying for that position will advance.

While students may do outside research to prepare their entries, they may not solicit assistance or advice from anyone except other members of their team.  No assistance is permitted from staff, faculty, students who are not team members, or members of the public.

Round Two

Each of the advancing submissions from Round One will be evaluated based on the entirety of the solution including insights, recommendations, and actionability.  Judging will be conducted by multiple subject matter experts made up of Data Science professionals from Humana and Texas A&M PhD candidates. The scores of each judge will be combined to create a composite score.

The categories and weighting associated with each category are as follows:

  • 15% – Establishing key performance indicators aligned to business needs
  • 35% – Depth and description of quantitative analysis resulting in actionable business insights
  • 50% – Ability to provide meaningful implications and recommendations based on results/insights

The five (5) teams with the highest composite scores in Round Two will be deemed finalists and move on to Round Three. In the event of a tie in Round Two, the team with the highest score in the third category (“Ability to provide meaningful implications and recommendations based on results/insights”) will advance. If the teams are still tied, the team with the highest score awarded by Humana judges will advance. If the teams are still tied, the judges will select the team deemed to have submitted the better overall entry, and that team will advance.

Round Three

The final round will build on previous rounds to demonstrate the solution is not only analytically sound but is also understandable, appealing, and viable with regards to implementation.

Finalists are invited to give final PowerPoint presentations on November 12, 2020, virtually, to visualize and explain their findings.  To be eligible for Round Three, at least one member of a two-person team and at least two members of a three-person team must present in person.  If a potential finalist team is not able to meet this requirement, the team with the next highest score will become a finalist.

Final presentations will be judged by a panel of executive and academic experts according to the same point scale but using the following criteria:

  • 20% – Demonstrate clear understanding of the business challenge
  • 20% – Summary of approach and resulting business insights
  • 40% – So What? How will this solution help improve the business issue
  • 20% – Presentation Effectiveness: clarity of message, visualization of key findings/recommendations, ability to answer questions

Following the final presentations, the Round Three judges will meet in private to discuss the entries. Then each judge will score the entries, and the scores of all will be added together to determine the winners of the competition. The team with the highest score will be the First Place Winner; the team with the second highest score will be the Second Place Winner; and the team with the third highest score will be the Third Place Winner.  In the event of a tie, the same procedure will be used as described above in Round Two.

Additional information:

  • Presentations will be held virtually.  Teams should be present by 8:00 a.m., and presentations will begin at 8:30 a.m.  Each team may use up to 30 minutes to present and will need to allocate the time for presentation and Q&A at their own discretion.
  • Students should wear business attire for presentations.
  • Every student on a team must take an active role in the presentation.
  • Teams should bring a USB drive of their presentation (the one they submitted electronically in advance is intended as the primary with the USB as backup in case of technical issues).
  • Teams may, but are not required to, use posters and other physical visual aids to enhance their presentation.

Prizes

Cash prizes will be awarded as follows:  First Place – $40,000; Second Place – $20,000; Third Place – $10,000.  Prizes will be awarded in the form of checks and the prize amounts will be divided evenly among team members; where it is not possible to divide the amount exactly equally for a three-person team, the team will instruct Sponsor as to which amounts will go to which team members.

Releases

Sponsor/Organizer are not responsible for late, lost, misdirected, corrupted, mislabeled, or unintelligible entries, or incorrect contact information for any team member, in any round, including entries or notifications not received because of interrupted or unavailable network servers, failed communications networks or equipment, computer hardware or software, or other errors or malfunctions whether human, mechanical, or electronic.  Any team suspected of tampering with or disrupting any aspect of the competition will be disqualified.  All decisions of Sponsor/Organizer are final.

Teams and team members, by participating in the competition, (i) agree to be bound by these Official Competition Rules, (ii) agree to release, indemnify, and hold Sponsor and Organizer, their affiliates, parents, subsidiaries, divisions, and all of their officers, directors, employees, and agents (the “Released Entities”) harmless from any and all claims, liabilities, losses, and damages of any kind arising in whole or in part, directly or indirectly, from team/team members’ participation in the competition, (iii) agree that the Released Entities may use team and team members’ name and likeness for the purpose of promoting and publicizing the competition and future competitions, (iv) agree that Sponsor may contact them for recruiting purposes (with the right to opt out of further email contact), (v) agree that their presentation may be recorded and used by Sponsor and Texas A&M University for internal purposes and for recruiting, and (vi) agree that any dispute or claim will be resolved individually and without resort to class action.

Sponsor

The Sponsor of the competition is Humana Inc., 500 W. Main St., Louisville, Kentucky 40202.

Organizer

The Organizer of the competition is Texas A&M University, Mays Business School, 6000 TAMU, College Station, Texas 77843.