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Business Data Analytics: Insights and Predictive Models

BUSI4995U
Closed
Ontario Tech University
Ontario Tech University
Oshawa, Ontario, Canada
Amanda Gaudet
Associate Teaching Professor
(12)
5
Timeline
  • January 27, 2020
    Experience start
  • April 18, 2020
    Experience end
Experience
3 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Information technology Data analysis Market research Operations Project management
Skills
python modelling data analytics big data data modeling
Student 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.

Students

Students
Undergraduate
Any level
20 students
Project
60 hours per student
Students 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 27, 2020
    Experience start
  • April 18, 2020
    Experience end

Project Examples

Requirements

Beginning in January, a class of student-consultants in teams 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 analysis, predictive modeling/machine learning, and visualization.

Based on the data and information that you provide, the teams will aim at deriving actionable 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.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

Companies should ideally provide data (not necessarily clean) prior to the beginning of the class.

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).

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.

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.