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A supermarket has been experiencing long lines during peak periods of the day

A supermarket has been experiencing long lines during peak periods of the day. The problem is noticeably worse on certain days of the week, and peak periods sometimes differ according to the day of the week. There are usually enough workers on the job to open all cash registers. The problem the supermarket faces is knowing when to call some of the workers who are sticking shelves up to the front to work the checkout counters. How might business analytics help the supermarket? What data would be needed to facilitate good decisions?

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