Dear colleagues,
You are invited to webinars on Teaching Supply Chain Analytics: From Problem Solving to Problem Discovery. The webinars are free and intended for instructors developing new supply chain analytics courses or improving an existing supply chain course with data analytics.
Most supply chain analytics curriculums focus on model-driven predictive and prescriptive analytics to solve well-defined problems. However, practitioners and business audience are thirsty for problem definition and discovery skills as nothing in real-life is well defined. Indeed, as Steve Jobs once said, "If you define the problem correctly, you almost have the solution."
In these webinars, I will share experiences and modules to teach data-driven descriptive and diagnostic analytics to define and discover problems in supply chains, including, inventory analytics, sourcing analytics and competitive intelligence. The focus is on transforming data into insights - data interpretation. You will find that problem discovery is not only highly valuable, but also sophisticated and revealing.
Dates: January 11, 12, 13, 3-4pm EST (New York), 2023.
Registration and more information can be found here:
https://rutgers.zoom.us/meeting/register/tJElfumgqjguHtyCSDh3vVCihfZ_mDJV9DwQ
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Yao Zhao
Professor
Rutgers University
Newark NJ
https://yzhao12345.github.io/------------------------------