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Most companies employ supply chain analytics. But to get better strategic, operational and tactical decisions from these analytics, the majority have found they need to decrease their “Analytics Insight Cycle Time” — the time required to identify a supply chain challenge or opportunity, perform the analytics to understand, transform those analytics into insights and then implement them.
On Wednesday, June 14, MIT SMR authors Melissa Bowers, Adam Petrie, and Mary Holcomb discussed the phases of Analytics Insight Cycle Time, presented case studies for actual success, and suggested steps that supply chain executives can take to reduce cycle time, and to ultimately make supply chain analytics a transformational and competitive resource in their organizations.
In the webinar, the authors discussed:
- The five key levers critical to minimizing the Analytics Insight Cycle Time
- How leading companies have successfully tackled this issue
- How to translate supply chain analytics into actionable insights