Python + ArcGIS + SCM = Jobs.
If you want to specialize in data & become a Supply Chain Analyst (25,000 jobs on LinkedIn) / Supply Chain Data Scientist (500,000 jobs on LinkedIn – that’s all), Python is a must-have skill.

A while back, I made these points about our CIS 2650 class (Programming for Data Analytics) and our Business Data Analytics minor in general. Do these points still largely apply?…

CIS 2650 is not just a Python class, but instead a Python class for analytics. There is a difference there. In a traditional Python class, people teach Python straight for the whole semester with so much of syntax, data structure, software development, etc. That type of class is mostly designed for CIS and CS. What we do is different. It is Python in a popular analytics platform (more technically speaking, it is Python in Jupyter, which is an analytics platform that data science and business analytics programs do). More:

“McKinsey did a survey in which < ½ of the orgs said they understood the location of their tier-1 suppliers & the key risks those suppliers face. Only 2% had visibility to their suppliers in the 3rd tier & beyond.” Also, great post from Esri…

We’ve all felt the effects of an unpredictable supply chain. 📦🤷‍♀️
Here’s how GIS is helping companies trace delays, shortages, and other risks to anticipate—and possibly avoid—knock-on effects.
Are Supply Chain pros using ArcGIS Pro technology? Do you think our SCM students should learn this? ArcGIS is a technology that can help companies manage risk. Nationally, almost zero SCM graduates will have this on their resume.

I recently had a GIS analyst reach out to me & ask: Is there a business geography specialty group that addresses supply chain issues? Where could people find GIS supply chain problem sets? I think he sees GIS+SCM as being very timely.


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