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.

Learning Outcomes:

  • 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.

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
Date
Format
ID
Fee
 
 Apr 21-22, 2026
Madison, WI or Live Online
ID: E119
Fee: $1,495View Discounts

Create a custom learning experience

We can deliver this course as an on-site learning experience tailored to your organization’s specific training needs.