27 Nov Challenges for supply chain analysts in 2020
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The top issues in analytics in the supply chain can be broken down into roughly 4 categories: Costs, Service, Volatility and Supply Chain Planning Issues related to structure. At the top of the ranking we find the analysis of customer performance, footprint & alignment questions and optimization of production and sourcing. All in line with key issues on the agenda of supply chain leadership. What is remarkable, is the importance of root cause analysis. Digging into the data to find the exact cause of a specific problem.
Data driven forensics
With the enormous volatility in the market and problems popping up, this type of analysis is of critical importance. Data driven searching for the root cause of a problem is what we refer to as data driven forensics. This capability will be essential. Next to the rising importance of root cause analysis the importance of cost to serve is remarkable. Getting a grip on the costs per customer and the cost to serve will be very important.
Skills set of the modern supply chain analyst
Data Management, Querying & Analysis (1)
Statistics and programming (2)
Basics Excel (3)
Machine Learning and AI (4)
Visualization and Presenting (5)
As a starting point we took the research done by the Mahajan&Saha (2017), LaValle et al. (2018), Butner, K, (2018), Furr&Shipilov (2019), and Klickman (2018) and build upon it through our interviews with supply chain analysts we trained in the last few years. I’m fully aware that this is not a scientific approach by definition, but it does provide us with a very good indication of the topics that are on the agenda.