ATOM x AIS Analytics & Blockchain ChallengeChallenge Guidelines

Important Dates

Mon. April 11, 2022 11:59 pm Challenge pre-judging submissions due
Tue. April 12, 2022 8:00 am Pre-judging begins
Fri. April 15, 2022 11:59 pm Pre-judging ends
Mon. April 18, 2022 5:00 pm Pre-judging round results published
(teams advancing to finals notified)
Tue. April 19, 2022 11:59 pm Challenge final submissions due
(selected finalist teams only)
Thurs. April 21, 2022 9:00 am
2:00 pm
Blockchain Challenge Finals
Analytics Challenge Finals

Analytical Tools

Feel free to use any tools you have expertise with. Some suggestions are:

  • IBM Watson Analytics
  • Tableau
  • PowerBI
  • RapidMiner
  • Mathematica

Competition Rules

  • The project submission must be entirely the work of the student team. While faculty and other individuals can help review the submission, they should not contribute to the content of the report or the solution.
  • Incomplete submissions will not be considered.
  • The contest materials must be submitted by the due dates. Late submissions will not be accepted and no extensions will be given.

Judging Criteria

Quality of the analysis performed and/or solution proposed

  1. Novelty/creativity/innovativeness – team demonstrated an original and potentially unexpected approach to the data analysis and/or proposal of solution(s).
  2. Insight – team provided interesting and meaningful findings and interpretations.
  3. Relevance – team’s analysis relates to the problem statement; team utilized appropriate tools and techniques.
  4. Scope – team incorporated an adequate amount and variety of data analysis and/or research which were utilized appropriately within the solution proposal(s).
  5. Utility – team drew accurate conclusions and were clear about the implications for decision making and strategy.

Quality of the PRESENTATION of the analysis and/or solution

  1. Clarity – during the presentation, team provided a well-organized, complete, and clear description of the approach taken, research conducted, data utilized, and conclusions reached.
  2. Consistency – during the presentation, team delivered conclusions and proposed solution(s) that were logically and reasonably consistent with the data analysis and research conducted.
  3. Quality and effectiveness – during the presentation, team utilized suitable visuals and delivery style that worked to create a convincing and compelling narrative.
  4. Engagement – during the presentation, multiple team members presented and/or participated by responding to questions. Overall, the team members exhibited command of the topic and sense of passion and enthusiasm for the ideas presented.
  5. Documentation – team identified all sources of data and research; provided links to data sources and other documents (cited supporting research).

Application Deadline: Mon. April 11, 2022



  • Florida International University
    Department of Information Systems & Business Analytics
    11200 SW 8th Street, RB 250
    Miami, FL 33199
    Office: 305.348.2830
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