Many organization face the challenges of developing information into knowledge, and then converting that intelligence into actionable decisions. Organizations demand the interdisciplinary skills of professionals that can find insights through data, and are capable of telling stories about data that can assist decision makers across various business divisions. More importantly, students will be able to create a narrative on how advanced analytical techniques can be used to provide actionable business solutions. Your company can be part of a project by accepting to assign a task to a multidisciplinary team of students for a term of 12 weeks including 80h of work per student.

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.

Overall Info: Welcome to George Brown College's Experiential Learning Program, where we bridge the gap between academia and industry by offering students hands-on experiences with real-world projects. Our MGMT4103 course focuses on Supply Chain Management, a critical aspect of modern business operations. Our students are eager to apply their theoretical knowledge to practical situations, under the mentorship of industry professionals like yourself. This course is a field focused, student centric project. Students learn through applied field-experience, being designated as a Supply Chain Analyst for a real-world client. 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 volunteer placement activities within community, government, or private organizations. Ideal projects involve real-world challenges that align with our course objectives and provide students with valuable learning opportunities.

Overall info: Welcome to George Brown College's Experiential Learning Program. Up to four 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. 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, or 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.