ATOM x AIS Analytics ChallengeChallenge Guidelines


Important Dates

Important dates regarding the Analytics Challenge will announced soon!

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: To be announced soon!

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