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Data-Driven Business Solutions

BUS 4045
Closed
George Brown College
George Brown College
Toronto, Ontario, Canada
Mohsen Selseleh
Mohsen Selseleh
Professor
(3)
6
Timeline
  • January 3, 2025
    Program start
  • May 6, 2025
    Program end
Program
17/17 project matches
Dates set by program
Preferred companies
Anywhere
Any company type
Any industries

Program scope

Categories
Financial modeling Data visualization Data analysis Data modelling Data science
Skills
presentations analytical skills business analysis data analysis business strategies data visualization project management teamwork dashboard management
Learner goals and capabilities

This experience is designed for learners in data analytics and business management programs who are eager to apply their technical and analytical skills to real-world scenarios. Participants will engage in projects that require the use of programming, data visualization, and business analysis to address complex business challenges. The focus is on developing project management skills, enhancing teamwork, and effectively communicating actionable insights to stakeholders. Learners will be prepared to contribute to professional roles in analytics and business strategy by delivering data-driven solutions.

Learners

Learners
Post-graduate
Intermediate levels
120 learners
Project
80 hours per learner
Learners self-assign
Teams of 7
Expected outcomes and deliverables
  • Comprehensive data analysis reports with actionable insights
  • Interactive data visualizations and dashboards
  • Business strategy recommendations based on data findings
  • Project management documentation and timelines
  • Stakeholder presentations summarizing project outcomes
Project timeline
  • January 3, 2025
    Program start
  • May 6, 2025
    Program end

Project Examples

Requirements
  • Analyzing customer data to identify trends and improve marketing strategies
  • Developing a dashboard for real-time sales performance tracking
  • Evaluating operational data to optimize supply chain processes
  • Conducting a competitive analysis using publicly available data
  • Assessing financial data to recommend cost-saving measures
  • Creating a predictive model for customer churn
  • Designing a data-driven approach to enhance product development
  • Analyzing employee performance data to improve HR strategies

Additional company criteria

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

  • Q1 - Text short
    Will you provide an opportunity for learners to present their work and receive feedback?