Humans-in-the-loop forecasting: integrating data science and business planning
The Unofficial Google Data Science Blog
DECEMBER 4, 2019
This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. 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. 95th percentile).
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