This experience is designed for learners in a People Analytics program, focusing on data visualization and storytelling. Participants are equipped with skills to organize and analyze HR data using tools like SAC and Tableau. They learn to create compelling visual narratives that inform talent decisions, enhance workforce processes, and promote positive employee experiences. By applying these skills, learners can tackle projects that require transforming complex data into actionable insights for organizations.

Welcome to George Brown College's Experiential Learning Program. This experience aims to bridge the gap between theoretical concepts and practical applications, enabling learners to contribute effectively to industry projects. Up to five groups of six students from Supply Chain Management Program will be working on creating supply chain management tools for sale growth or supply chain performance improvement. Our students from Supply Chain Management Program have been successfully trained with the principles, methodologies and well-rounded data analytics skills for supply chain improvements. The students will benefit so much from the operational data from the clients, and as a result they will identify the pain points of the business processes and provide the solutions for real-world clients. Steps for Matching: Step 1: Match Request Submission: As an employer, you'll submit a match request outlining your project. We'll then schedule a video call to discuss the project's suitability and alignment with our learning objectives. Step 2: Pre-Approval: Upon mutual agreement, both parties will confirm the match on the Riipen platform, marking the project as pre-approved. Step 3: Students Choosing: The pre-approved project will be made available for our students to select based on their interests and skills. Step 4: Collaboration Starts: All communication and collaboration will be facilitated through the Riipen platform, ensuring transparency and efficiency.   Ideal Partner: We're seeking partners from retail, wholesale, distribution industries, Or B2B, B2C, 3PL, 4PL companies, manufacturers with make-to-order/make-to-stock strategy, global sourcing companies. Ideal projects should involve real-world operational data. We will let the data speak.

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.

Welcome to George Brown College's Experiential Learning Program. This experience focuses on leveraging generative AI technologies to enhance decision-making processes within supply chain management. We are seeking companies that plan to apply the advantages of Generative AI (GenAI) to their supply chain management decision processes and would like to provide the opportunity for my students from B429 (post-graduate Supply Chain Management Program) to explore how a company can make successful decision in the era of disruptive and uncertain supply chain management. Our students from Supply Chain Management Program have been successfully trained with the principles, methodologies and well-rounded data analytics skills for supply chain improvements. They will apply GenAI advantages to your business decision makings. The students will benefit so much from identifying the pain points of the business processes, from the journey of building business solutions as well as implementing the solutions for clients. Steps for Matching: Step 1: Match Request Submission: As an employer, you'll submit a match request outlining your project. We'll then schedule a video call to discuss the project's suitability and alignment with our learning objectives. Step 2: Pre-Approval: Upon mutual agreement, both parties will confirm the match on the Riipen platform, marking the project as pre-approved. Step 3: Students Choosing: The pre-approved project will be made available for our students to select based on their interests and skills. Step 4: Collaboration Starts: All communication and collaboration will be facilitated through the Riipen platform, ensuring transparency and efficiency.   Ideal Partner: We're seeking partners from retail, wholesale, distribution industries, B2B, B2C, 3PL, 4PL, manufacturers, global sourcing companies. Ideal projects should involve real-world operational fact data. We will let the data speak.