MBA Analytics: Insights & Recommendations Fall 2020

MBA 643
Closed
Concordia University
Montreal, Quebec, Canada
Danielle Morin
Professor
3
Timeline
  • September 8, 2020
    Experience start
  • September 27, 2020
    Teams are registered on Riipen and spokesperson is identified
  • October 8, 2020
    Submission of a proposal on the study and methodology (2 points)
  • November 12, 2020
    Submission of the mid project progress report. (3 points)
  • December 10, 2020
    End of Semester Project presentation to the class and to the organization (5 points)
  • December 16, 2020
    Final Paper submission (10 points)
  • December 17, 2020
    Experience end
Experience
1 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis Market research
Skills
business analytics business consulting data analytics data modeling research
Learner goals and capabilities

MBA students groups will work with a data set of your choice to provide a visualization, analysis, and actionable recommendations for your management team.

Learners

Learners
Graduate
Any level
65 learners
Project
20 hours per learner
Learners self-assign
Teams of 5
Expected outcomes and deliverables

Final project deliverables include:

  1. A 20-page report with data analysis and recommendations.
  2. Each team will make a presentation to the class and to the partner organization
  3. The final report will be submitted to the instructor and to the partner organization.
Project timeline
  • September 8, 2020
    Experience start
  • September 27, 2020
    Teams are registered on Riipen and spokesperson is identified
  • October 8, 2020
    Submission of a proposal on the study and methodology (2 points)
  • November 12, 2020
    Submission of the mid project progress report. (3 points)
  • December 10, 2020
    End of Semester Project presentation to the class and to the organization (5 points)
  • December 16, 2020
    Final Paper submission (10 points)
  • December 17, 2020
    Experience end

Project Examples

Requirements

Starting in September 2020, first year MBA students working in teams of 4-5 will spend 80 to 100 hours per group working on an analytics project of your choosing.

Using a data set provided by your organization, they will apply data analysis methods to help your organization derive impactful insights and make more informed decisions.

Based on the information you offer and your goals, they will provide you with a relevant visualization of your data, thorough analysis, and actionable recommendations on topics of your choice.

Examples include, but are not limited to:

  • Analyzing sales information to assess the effectiveness of a program or promotion.
  • Evaluating the effectiveness of a staff training program to understand its impact on absenteeism.
  • Evaluating historical sales data to identify market trends and provide predictions.
  • Analyzing data on buyers to identify key markets or challenges.
  • Analyzing consumer feedback to identify key challenges and areas of strength.
  • Identifying trends in demand to help with forecasting
  • Analyzing data on customer satisfaction to highlight key areas for improvement

Note: Students are able to sign an NDA, as required.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

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