MBA Analytics: Insights & Recommendations
Timeline
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September 3, 2018Experience start
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September 28, 2018Project Scope
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October 18, 2018Midway Check In
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November 8, 2018Midway Check In
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December 16, 2018Experience end
Timeline
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September 3, 2018Experience start
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September 28, 2018Project Scope
Presentation of Team members and submission of a one-page project proposal to confirm the project scope and analysis.
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October 18, 2018Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
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November 8, 2018Midway 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 16, 2018Experience end
Experience scope
Categories
Skills
data analytics data modeling business consulting researchMBA students groups will work with a data set of your choice to provide a visualization, analysis, and actionable recommendations for your management team.
Learners
Final project deliverables include:
- A 20-page report with data analysis and recommendations.
- Each team will make a presentation to the class.
- The best two projects will be presented to the company.
Project timeline
-
September 3, 2018Experience start
-
September 28, 2018Project Scope
-
October 18, 2018Midway Check In
-
November 8, 2018Midway Check In
-
December 16, 2018Experience end
Timeline
-
September 3, 2018Experience start
-
September 28, 2018Project Scope
Presentation of Team members and submission of a one-page project proposal to confirm the project scope and analysis.
-
October 18, 2018Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
November 8, 2018Midway Check In
Teams will present to the organization a progress report to ensure that progress is on track halfway through completion.
-
December 16, 2018Experience end
Project Examples
Requirements
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:
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
Timeline
-
September 3, 2018Experience start
-
September 28, 2018Project Scope
-
October 18, 2018Midway Check In
-
November 8, 2018Midway Check In
-
December 16, 2018Experience end
Timeline
-
September 3, 2018Experience start
-
September 28, 2018Project Scope
Presentation of Team members and submission of a one-page project proposal to confirm the project scope and analysis.
-
October 18, 2018Midway Check In
Meeting between students and organization to ensure that progress is on track halfway through completion.
-
November 8, 2018Midway Check In
Teams will present to the organization a progress report to ensure that progress is on track halfway through completion.
-
December 16, 2018Experience end