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Data Insights

MGOD30
Closed
University of Toronto
University of Toronto
Toronto, Ontario, Canada
Andre Augusto Cire
Andre Augusto Cire
Associate Professor
(1)
4
Timeline
  • January 21, 2019
    Experience start
  • April 11, 2019
    Experience end
Experience
3/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Accounting Information technology Operations Project management
Skills
data analytics data modeling python modelling big data
Learner goals and capabilities

Student-consultants will analyze data sets using state-of-the-art technologies to identify trends, establish correlations, and submit recommendations based on predictive models that can enhance decision-making in your organization.

Learners
Undergraduate
Any level
20 learners
Project
40 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

Final deliverables will include:

  • A slide deck with conclusions and recommendations for a 10-minute consulting presentation.
  • A written report with details of the predictive models that were developed, including insights and overall recommendations that are inferred from such models.
  • All applicable source code.
Project timeline
  • January 21, 2019
    Experience start
  • April 11, 2019
    Experience end
Project Examples

Beginning in late February, a class of student-consultants in groups of four will spend 60 hours per team performing a thorough investigation of data sets to tackle a managerial question. Tools such as Python and Tableau will be leveraged for data modeling, machine learning, and visualization.

Based on the information that you provide, groups will develop predictive models and managerial insights into key aspects of your organization. Each team will propose solutions and implementation strategies to improve your decision making processes and outcomes.

Example projects include, but are not limited to:

  • Analysis of customer segmentation relative to different products and services, to enhance marketing campaigns and refocus your products/services.
  • Investigate predictive models to understand trends in sales, attrition rates, and profits that impact your business.
  • Propose new ways to visualize data through tables and plots that can provide new insights for managers.
Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone call with the organizer to initiate your relationship and confirm your scope is an appropriate fit for the experience.

Minimum of 2-4 interactions with the students in-person or remotely (approximately 4-6 hours over the duration of the project).

Be available for an introductory session at the beginning of the project (in person or virtual).

Provide a dedicated contact who will be available to answer periodic emails or phone calls over the duration of the project to address student’s questions or provide additional information.