Given the various recent disruptions that took place in supply chain management, data-driven, agile decision-making isn’t just an advantage—it’s a necessity. Firms that effectively leverage supply chain analytics can unlock hidden efficiencies, reduce costs, and gain a significant competitive edge. However, most organizations fail to tap into the full potential of the data at their fingertips, leaving valuable insights unexplored.
Recognizing this critical gap, James Madison University's College of Business and the School of Professional and Continuing Education have partnered to offer a comprehensive non-credit certificate course in Supply Chain Analytics. This program is designed to equip supply chain professionals with the understanding of analytical tools and techniques needed to make informed agile decisions.
Prepare today for tomorrow's career.
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Duration:
3 weeks
(12-15 hours per week)
Begins July 7, 2025
Format:
100% online
(hybrid - synchronous and asynchronous content)
Program Fee:
$1,250
$995 Early bird registration
Register before May 15, 2025
Certificate Course Takeaways
- Go Beyond Dashboards: Understand why descriptive analytics alone only scratch the surface and discover advanced methods to harness your supply chain data's true power.
- Master Predictive Analytics: Learn to forecast future demand, anticipate fluctuations, and identify potential supply shortages, delays, disruptions, and cost variations—ensuring proactive decision-making.
- Apply Causal Analytics: Connect data across departments to uncover cause-and-effect relationships, such as how investments in supplier timeliness influence customer satisfaction and employee engagement.
- Leverage Spatial Analytics: Integrate geographic insights into your supply chain strategy to optimize location and routing decisions based on descriptive and predictive data.
- Optimize with Prescriptive Analytics: Utilize advanced tools to minimize supply chain costs, enhance technology investments, and support sustainability initiatives through data-driven optimization.
- Harness AI for Analytics: Develop effective AI prompting skills for predictive, causal, spatial, and prescriptive analytics. Compare manual and AI-generated analyses to maximize efficiency and insight.
Certificate Course Applicants
Whether you're about to embark on a supply-chain career, or getting ready to take the one you already have in a different direction, our Supply Chain Analytics Non-credit Certificate Course may be exactly what you're looking for.
Perfect for:
- Supply Chain Professionals who wish to gain an understanding as to how they can uncover the hidden potential of their valuable data beyond dashboards to help with informed, agile decision making.
- Consultants interested in securing supply chain digital transformation and data analytics projects.
Certificate of Completion
A certificate is awarded upon successful completion of the course.
Luis Novoa, Ph.D
Associate Professor, Computer Information Systems and Business Analytics; MBA Program
William J. Ritchie, Ph.D
Professor and CSX Professor, Business Management
Baback Vaziri, Ph.D
Associate Professor, Computer Information Systems and Business Analytics; MBA Program
Questions?
If you have any questions or would like more information about the Supply Chain Analytics
Non-credit Certification Course, please contact Mert Tokman.
Hours of operation:
Mon - Fri: 8 a.m. - 5 p.m.
