Riipen Riipen
Log in Sign up

Experiences

Back to marketplace

Data-Driven Business Decision Solutions

BUS 4045
Open Closing on May 3, 2025
George Brown College
George Brown College
Toronto, Ontario, Canada
Mohsen Selseleh
Professor
6
Experience
20 projects wanted
Dates set by experience
Preferred companies
Canada
Large enterprise, Non profit, Small to medium enterprise
Banking & finance, Business & management, Business services

Experience scope

Categories
Machine learning Data visualization Data science
Skills
analytical skills preparing executive summaries data visualization real world data business strategies data analysis dashboard decision making refining
Learner goals and capabilities

This experience is designed for learners who are developing skills in data analysis and business decision-making. Participants are capable of analyzing real-world data sets and providing actionable insights to support strategic business decisions. Through client interaction and feedback, learners will refine their ability to translate data into meaningful business recommendations. This experience allows learners to apply their analytical skills to real-world projects, enhancing their professional portfolio.

Learners

Learners
Post-graduate
Intermediate, Advanced levels
50 learners
Project
50 hours per learner
Learners self-assign
Teams of 5
Expected outcomes and deliverables
  • Comprehensive data analysis report with actionable insights
  • Presentation of findings and recommendations to stakeholders
  • Data visualization dashboards to illustrate key metrics
  • Executive summary highlighting strategic recommendations
  • Feedback report based on client interaction and suggestions
Project timeline
  • May 5, 2025
    Experience start
  • August 16, 2025
    Experience end

Project Examples

Requirements
  • Analyze customer purchase data to identify trends and recommend marketing strategies
  • Evaluate operational data to suggest process improvements for efficiency
  • Conduct a competitor analysis using publicly available data to inform strategic positioning
  • Assess financial data to provide insights on cost-saving opportunities
  • Develop a data-driven sales forecast model for a new product launch
  • Analyze employee performance data to recommend talent development strategies
  • Investigate social media engagement data to enhance brand presence
  • Review supply chain data to propose risk mitigation strategies