MBA Analytics: Insights & Recommendations Fall 2019
General
- 65 learners; teams of 5
- 20 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 5/1 project matches
- Anywhere
- Academic experience
- Any
- Any industries
Categories
Skills
Project timeline
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September 5, 2019Experience start
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September 29, 2019Project Scope
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November 5, 2019Midway Check In
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December 19, 2019Experience end
Timeline
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September 5, 2019Experience start
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September 29, 2019Project Scope
Presentation of Team members and submission of a one-page project proposal to confirm the project scope and analysis.
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November 5, 2019Midway Check In
Teams will present to the organization a progress report to ensure that progress is on track halfway through completion.
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December 19, 2019Experience end
Overview
- Details
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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
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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 partner organization
- The final report will be submitted to the instructor and to the partner organization.
Project Examples
Starting this September, 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:
Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).
Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.
Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.