MBA Analytics: Insights & Recommendations WINTER 2019

MBA 643
Closed
Concordia University
Montreal, Quebec, Canada
Danielle Morin
Professor
3
Timeline
  • January 5, 2019
    Experience start
  • January 13, 2019
    Teams are registered on Riipen and spokesperson is identified
  • February 3, 2019
    Submission of a proposal on the study and methodology (2 points)
  • March 4, 2019
    Submission of the mid project progress report. (3 points)
  • April 11, 2019
    End of Semester Project presentation to the class and to the organization (if possible) (5 points)
  • May 1, 2019
    Final Paper submission (10 points)
  • May 6, 2019
    Experience end
Experience
2/4 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis
Skills
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
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 organization by video conference
Project timeline
  • January 5, 2019
    Experience start
  • January 13, 2019
    Teams are registered on Riipen and spokesperson is identified
  • February 3, 2019
    Submission of a proposal on the study and methodology (2 points)
  • March 4, 2019
    Submission of the mid project progress report. (3 points)
  • April 11, 2019
    End of Semester Project presentation to the class and to the organization (if possible) (5 points)
  • May 1, 2019
    Final Paper submission (10 points)
  • May 6, 2019
    Experience end

Project Examples

Requirements

Starting in January 2019, 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 analytic 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 permitted to sign a NDA, as required.

Additional company criteria

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

  • Q - Checkbox
  • Q - Checkbox
  • Q - Checkbox
  • Q - Checkbox