The COVID-19 crisis highlights all too clearly that operating models tuned to maximum efficiency have turned out to be hugely sensitive to external disruption. The complexity of global supply chains has opened the way for unanticipated events causing a cascading array of unintended consequences.

This publication examines how leveraging advanced data and analytics can improve operational efficiency during times of disruption. It covers the data inputs required as well as comprehensive analytical models to stress-test corporate processes under a range of disruption scenarios.

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