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

The Unofficial Google Data Science Blog

The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time. For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range.