Supply Chain Analytics: Making Data Driven Decisions to Improve Supply Chain Performance

Steven Carnovale

Professor of Supply Chain Management at Rochester Institute of Technology

Learning Objectives

The shockwaves of the COVID-19 pandemic have highlighted how important supply chain management is to the successful functioning of a firm, with greater emphasis placed on leveraging the supply chain for competitive advantage than ever before. Terms like data science, predictive modeling, artificial intelligence, are becoming common place, and calls to utilize supply chain data to make decisions are becoming more and more mainstream. Yet, where do we begin? Answer: supply chain analytics. This presentation will take the viewer through an overview of what supply chain analytics is, looking at descriptive, predictive, and predictive analytics and how it can generate data driven insight to facilitate decision making.


Key Takeaways:



  • What is supply chain analytics?

  • How can supply chain analytics be utilized to make data driven decisions?

  • What are some applications of supply chain analytics?