Dr. Watson Says: |
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...After all, the supply chain is full of very interesting data, interesting visualization problems, and the need for better predictions... |
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What Do You Say?
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There is has been quite a lot of talk about the need to bring in new supply chain talent. A recent SCDigest blog post by Cliff Holste even mentioned that the supply chain industry faced a crisis if it cannot recruit the next generation of leaders.
One thing that I have noticed that would help supply chain managers recruit would be to become more analytics-driven. Analytics is quite a hot topic right now. Many universities are quickly creating new programs in Analytics.
I’ve been teaching in Northwestern’s full time Masters in Analytics program since its inception two years ago and, the students coming into the analytics program are exactly the kind of people we should be recruiting into the supply chain. They are bright, energetic, and willing to learn new technology. And, coming out of the program, they are eager to apply their new skills.
Unfortunately, they don’t see the supply chain as an interesting place to hone their new skills. Instead, they are taking their talents and applying analytics in social media, e-commerce, and marketing.
There is no reason that supply chain can’t be right up on that list.
After all, the supply chain is full of very interesting data, interesting visualization problems, and the need for better predictions.
The supply chain team has data on every shipment, has data on what products are ordered by which customers, and has streaming data on equipment performance and failures.
Previous Columns by
Dr. Watson |
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With visualization (an important aspect of analytics with some nice new technology), there is a need for concise dashboards, the need to geographically represent the supply chain, and the need to figure out how to convey the complexity of the supply chain in ways that are understandable.
And, the supply chain is ripe with the need for better predictions: how can we predict what a customer may order next week? How can we predict how much may sell in a given store? How can we predict when equipment may fail?
If managers want to bring in the next generation of talent (and especially analytics talent), they should create positions that work on the analytics problems available in the supply chain. This will appeal to a new generation of future leaders.
Final Thoughts:
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