ATOM x AIS Analytics Challenge

The Future of Data Analytics makes the impossible possible!

FIU’s Annual Analytics Challenge aims to develop and refine the data analytics and research skills of our FIU Business students as they are challenged to develop cutting-edge solutions to real-world business problems. Challenge winners receive tuition scholarships and are sponsored to compete at the National AIS Analytics Challenge!

A set of prompts are offered to student competitors, who share the major findings of their research and analysis on their selected topic, presented to a panel of judges to critique and choose finalists from.

The finalists will be notified and asked to present their findings at the ATOM x AIS Analytics Challenge. The judges will then make their decisions and announce the winners. First-place will be sponsored to represent FIU Business at the AIS National Analytics Challenge!

Envisioning the Next Generation of Business Intelligence!

FIUs ATOM x AIS Analytics & Blockchain Challenge aims to equip FIU students, our next generation of leaders, with the relevant technical skills and knowhow demanded by today’s business employers.

The Challenge charges our students to develop cutting-edge solutions to real-world business problems. A set of business challenge scenarios are presented to participating student teams who share the major findings of their research and analysis on their selected case to a panel of judges.

Teams selected to advance to the Challenge Finals showcase their skills in a formal pitch presentation to a live judging panel of senior IS and business leaders.

Winners of the Challenge Finals are awarded scholarships towards their tuition, and are sponsored to compete at the Association for Information Systems (AIS) Student Chapter National Leadership Conference! 

Submission Details

Participation is open to all currently enrolled FIU students.

  • Students will form teams of 3-4 members maximum to compete.
  • Students may enter either one or both the Analytics and Blockchain challenges.
  • Students may participate on one or more teams in either one or both the Analytics and Blockchain challenges.
  • Students may submit multiple entries for either one or both the Analytics and Blockchain challenges, as long as no more than one submission is made for a single prompt case/scenario.
  • Multiple entries for a single prompt case/scenario in either one or both the Analytics and Blockchain challenges is prohibited.
  • What to Submit
    1. An interactive graphic/visualization reflecting major findings of the data analysis.
      • May include (is not limited to), static images, charts, diagrams, and
      • Must be accessible via a working link
    2. A brief description summarizing what’s great about the analysis and the visualization.
      • No more than one page in length (single-spaced)
    3. A video submission for preliminary judges to assess the quality of the analysis.
      • Maximum length of 10 minutes or less
      • URL must have authorization permitting pre-judges to view the video file.
      • Teams may decide which team member(s) will speak in the video.
  • How To Submit
    • Upload the one-page description of the analysis/visualization as a PDF file.
      • Include URL to the graphic/visualization in the body of the description.
      • Include link to the video submission (10 minutes or less).
    • Upload Interactive graphics/visualization.
      • Must run without special software
      • Must compatible with MAC and Windows operating systems
    • Clearly display the below information on the one-page description.
      • Name, email address, and panther ID of each team member
      • Name of the challenge and question(s) being analyzed
    • Submit entries on or before the published deadline.
  • After Submission
    • Teams will receive confirmation email acknowledging entry.
    • Finalist teams selected will deliver a live presentation to judging panel of senior industry executives at the Challenge Finals. Finalist teams will be notified by email.
    • Challenge winners will be announced at the Challenge Finals.

Important Dates


  • 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)