MBA Analytics: Insights & Recommendations WINTER 2019
General
- 65 learners; teams of 5
- 20 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 2/4 project matches
- Anywhere
- Academic experience
- Any
- Any industries
Categories
Skills
Project timeline
-
January 5, 2019Experience start
-
January 13, 2019Teams are registered on Riipen and spokesperson is identified
-
February 3, 2019Submission of a proposal on the study and methodology (2 points)
-
March 4, 2019Submission of the mid project progress report. (3 points)
-
April 11, 2019End of Semester Project presentation to the class and to the organization (if possible) (5 points)
-
May 1, 2019Final Paper submission (10 points)
-
May 6, 2019Experience end
Timeline
-
January 5, 2019Experience start
-
January 13, 2019Teams are registered on Riipen and spokesperson is identified
Teams must select their project and introduce themselves
-
February 3, 2019Submission of a proposal on the study and methodology (2 points)
Submission of a proposal on the study and methodology (2 pages)
-
March 4, 2019Submission of the mid project progress report. (3 points)
Submission of a mid project report presenting what has been done and what remains to be done.
-
April 11, 2019End of Semester Project presentation to the class and to the organization (if possible) (5 points)
Twenty minutes in-class presentation of the final project. The organization is invited to attend in person or remotely.
-
May 1, 2019Final Paper submission (10 points)
The final paper is due at the latest one week after the final exam is written.
-
May 6, 2019Experience end
Overview
- Details
-
MBA students groups will work with a data set of your choice to provide a visualization, analysis, and actionable recommendations for your management team.
- Learner skills
- Business consulting, Data analytics, Data modeling, Research
- Deliverables
-
Final project deliverables include:
- A 20-page report with data analysis and recommendations.
- Each team will make a presentation to the class and to the organization by video conference
Project Examples
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:
Be available for a quick phone call with the instructor to initiate your relationship and confirm if the scope of the project is an appropriate fit for the course.
Provide a dedicated contact person who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).
The organization is invited to attend (remotely) the end of semester students' presentation of their final projects.