Humans-in-the-loop forecasting: integrating data science and business planning
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
Based on the decisions being made and how quickly plans can adjust to new forecast updates, what is the cost of forecasting too high or too low? If the costs of prediction error are asymmetric (e.g. predicting too low is more costly than predicting too high), decisions should plan to a certain quantile forecast (e.g.
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