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.

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.

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.

This experience offers learners the opportunity to apply their data analysis skills in real-world scenarios, guided by two experienced professors. Participants will work collaboratively to interpret data, identify trends, and provide actionable insights. By engaging with industry projects, learners will enhance their ability to translate classroom knowledge into practical solutions, preparing them for future roles in data-driven environments.