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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

In choosing the appropriate method, a key distinction lies in the business stakes associated with a given forecast publication cycle. 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.