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Supply Chain Analytics
Organizations increasingly rely on analytics to guide supply chain and operations decisions, yet many struggle to translate data into action. While analytics are widely viewed as effective, gaps in skills and application remain common.
This hands-on course helps bridge that gap for participants with varying levels of technical experience. It focuses on applying advanced data and analytics methods to real supply chain and operations challenges. Through practical examples and exercises, you learn how to frame problems, work with data, and use analytics to improve forecasting, planning, and operational decision-making.
Who Should Attend?
- Supply chain professionals including analysts, planners, and logistics or supply chain managers seeking hands-on analytics training
- Operational leaders such as frontline leaders, materials managers, and engineering managers looking to improve data-driven decision making
- Technical professionals including data analysts, data scientists, and technology leaders who want to build supply chain context to complement their technical expertise
What You Will Learn
- Apply advanced data methods to supply chain and operations initiatives
- Identify specific considerations for analyzing supply chain data to make data-driven decisions
- Develop initial optimization models R to design supply chain networks
Supply Chain Analytics
Date: Tue. April 21, 2026 – Wed. April 22, 2026ID: RA00109 - E119
Fee:
- $1,495
Fee covers morning and afternoon breaks, scheduled lunches, and course materials.
UWEBC members receive a 20% discount.
Credits:
Instructors: - CEU: 1.4
- PDH: 14
Jeff Clement, Ralph Asher
Location:
Supply Chain Analytics
Date: Thu. November 13, 2025 – Fri. November 14, 2025ID: RA00109 - E026
Fee:
- $1,495
Fee covers morning and afternoon breaks, scheduled lunches, and course materials.
Credits:
Instructors: - CEU: 1.4
- PDH: 14
Ralph Asher, Jeff Clement
Location: