MBA Analytics: Insights & Recommendations WINTER 2019
Contact principal
Chronologie
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janvier 5, 2019Début de Expérience
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janvier 13, 2019Teams are registered on Riipen and spokesperson is identified
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février 3, 2019Submission of a proposal on the study and methodology (2 points)
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mars 4, 2019Submission of the mid project progress report. (3 points)
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avril 11, 2019End of Semester Project presentation to the class and to the organization (if possible) (5 points)
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mai 1, 2019Final Paper submission (10 points)
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mai 6, 2019Fin de Expérience
Chronologie
-
janvier 5, 2019Début de Expérience
-
janvier 13, 2019Teams are registered on Riipen and spokesperson is identified
Teams must select their project and introduce themselves
-
février 3, 2019Submission of a proposal on the study and methodology (2 points)
Submission of a proposal on the study and methodology (2 pages)
-
mars 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.
-
avril 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.
-
mai 1, 2019Final Paper submission (10 points)
The final paper is due at the latest one week after the final exam is written.
-
mai 6, 2019Fin de Expérience
Portée de Expérience
Catégories
Analyse des donnéesCompétences
business consulting data analytics data modeling researchMBA students groups will work with a data set of your choice to provide a visualization, analysis, and actionable recommendations for your management team.
Apprenant.es
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
Chronologie du projet
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janvier 5, 2019Début de Expérience
-
janvier 13, 2019Teams are registered on Riipen and spokesperson is identified
-
février 3, 2019Submission of a proposal on the study and methodology (2 points)
-
mars 4, 2019Submission of the mid project progress report. (3 points)
-
avril 11, 2019End of Semester Project presentation to the class and to the organization (if possible) (5 points)
-
mai 1, 2019Final Paper submission (10 points)
-
mai 6, 2019Fin de Expérience
Chronologie
-
janvier 5, 2019Début de Expérience
-
janvier 13, 2019Teams are registered on Riipen and spokesperson is identified
Teams must select their project and introduce themselves
-
février 3, 2019Submission of a proposal on the study and methodology (2 points)
Submission of a proposal on the study and methodology (2 pages)
-
mars 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.
-
avril 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.
-
mai 1, 2019Final Paper submission (10 points)
The final paper is due at the latest one week after the final exam is written.
-
mai 6, 2019Fin de Expérience
Exemples de projets
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.
Critères supplé mentaires pour Compagnie
Les Compagnies doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette Expérience:
Contact principal
Chronologie
-
janvier 5, 2019Début de Expérience
-
janvier 13, 2019Teams are registered on Riipen and spokesperson is identified
-
février 3, 2019Submission of a proposal on the study and methodology (2 points)
-
mars 4, 2019Submission of the mid project progress report. (3 points)
-
avril 11, 2019End of Semester Project presentation to the class and to the organization (if possible) (5 points)
-
mai 1, 2019Final Paper submission (10 points)
-
mai 6, 2019Fin de Expérience
Chronologie
-
janvier 5, 2019Début de Expérience
-
janvier 13, 2019Teams are registered on Riipen and spokesperson is identified
Teams must select their project and introduce themselves
-
février 3, 2019Submission of a proposal on the study and methodology (2 points)
Submission of a proposal on the study and methodology (2 pages)
-
mars 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.
-
avril 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.
-
mai 1, 2019Final Paper submission (10 points)
The final paper is due at the latest one week after the final exam is written.
-
mai 6, 2019Fin de Expérience