The Analytics Supply Chain

Businesses across many industries spend millions of dollars employing advanced analytics to manage and improve their supply chains. Organizations look to analytics to help with sourcing raw materials more efficiently, improving manufacturing productivity, optimizing inventory, minimizing distribution cost and other related objectives. But the results can be less than satisfactory. It often takes too long to source the data, build the models and deliver the analyticsbased solutions to the multitude of decision-makers in an organization. Sometimes key steps in the process are omitted completely. In other words, the solution for improving the supply chain, i.e., advanced analytics, suffers from the same problems that it aims to solve.

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