Club Med reduced its seasonal scheduling errors from 22% to 6%, a 35% drop, by using Workday’s data-driven forecasts. The resort chain achieved this by embedding predictive analytics into its staffing workflow, allowing managers to match staff levels with fluctuating guest numbers.
Digital Transformation: Powering Seamless Staffing
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