MBA Analytics Fall 2018
General
- 35 learners; teams of 5
- 20 hours per learner
- Dates set by experience
- Learners self-assign
Preferred companies
- 1/1 project matches
- Anywhere
- Academic experience
- Any
- Any industries
Categories
Skills
Project timeline
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September 6, 2018Experience start
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December 21, 2018Experience end
Overview
- Details
-
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 use data analysis methods to help your organization derive insights and make more informed decisions. Based on the information you offer and your goals, they will provide you with relevant visualization of your data, analysis and recommendations on issues of your choice.
- Learner skills
- Data analytics, Data modeling, Research
- Deliverables
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Students will submit a 20-page report with data analysis and recommendations. There is also an additional option to have the team make a presentation.
Project Examples
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
Additional company criteria
Companies must answer the following questions to submit a match request to this experience:
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.