Analytics Solution Consulting Projects

BUSA693
Open Closing on July 31, 2025
McGill University
Montreal, Quebec, Canada
She / Her
Industry Liaison
(3)
6
Timeline
  • September 27, 2025
    Experience start
  • April 30, 2026
    Experience end
Experience
6 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Information technology Data analysis Market research Operations Project management
Skills
competitive analysis business strategy marketing strategy data analysis research
Student goals and capabilities

Masters of Analytics students, with the support of McGill University, are offering their analytic expertise to help professionals in various Corporate-based Organizations through our Practicuum course called “Analytics & Solution Consulting”.

A central component of this project is for organizations to leverage Masters students' skills in Advanced Analytics and Data Science to drive different utilizations of data and analytic techniques within your organizations so that you can have a greater on your company's goals. Our students can deliver new data and analytics-based solutions that could help you navigate and adapt to our new increasingly digital reality. Organizations that qualify include:

-Enterprise-sized organizations in any industry (preferred >500 employees)

You can have anywhere from 4-6 students for your project, and each student dedicates 200hrs towards a tangible Quantitative/Technological solution development. This is a $0-Fee engagement.

Students

Students
Post-graduate
Intermediate, Advanced levels
70 students
Project
197 hours per student
Level UP Teams assign students to projects
Teams of 4
Expected outcomes and deliverables

Upon successful completion of this project a company will receive

Final Project Output

The final project output can include all of the following components:

  • Project Statement of Work
  • Technical data pipeline code and/or architecture (ie SQL/Python)
  • Quantitative model code (ie Python/R) or cloud based API builds (ie Google/Microsoft/Amazon clouds)
  • Dashboard files (ie PowerBI/Tableau) Business outcomes based on the analytic findings
  • Recommended next steps

Your business will have a much better understanding of the variables that are summarized and interpreted. The descriptive statistical summary will provide your business with the knowledge to optimize the various strategies you run at your organization. Your organization can then choose or not choose to impl

Project timeline
  • September 27, 2025
    Experience start
  • April 30, 2026
    Experience end

Project Examples

Requirements

Students can work on 1 or multiple areas of the following:

1.Technical Data Management - Data Pipeline Development

Develop a more automated what to procure and/or manage your data structures to support any analytics/modeling work done. Examples include:

  • MySQL DB creation
  • ETL integration architecture development

2A.Analytics Strategy - Define and Collect the Data Attributes of Interest

Data strategy is a critical piece to enabling firms to implement more Data Driven Decisions. Our students can help you define this strategy from scratch or advance one you already have to take it to the next level. Examples include:

  • Social Media data extraction development
  • Public information analysis like Open.gov

2B.Analytics Modeling - Statistical Analysis/ Predictive

Depending on your Use Case, student work to test/apply a wide variety of methodologies to solve your business problem. Examples include:

  • Historical Descriptive KPI determination
  • Future Predictive modeling/forecasting
  • Efficiency Optimization

Students can employ a mix of supervised and unsupervised Machine-Learning techniques to give your firm an edge

3.Design Visualization - Dashboarding

Finally, in order to consume the analytic results efficiently within your organization, students can develop dashboarding. This ties the business objectives with the quantitative outcomes to help clients make better decisions. Examples include:

  • Smart Heat-Map Dashboards
  • User based views and data access control

Additional company criteria

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

  • Q1 - Checkbox
  • Q2 - Checkbox
  • Q3 - Checkbox