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we understand that a forecast is never 100% precise. There is always some error. But we can use the error measures to track forecast error.
we understand that a forecast is never 100% precise. There is always some error. But we canuse the error measures to track forecast error. Many companies use several different forecasting models and rely on the model that has had the least error over some time period.
Think of the industry that you work in or would like to work in (i.e. retail, tech, accounting, etc.). Describe 2 - 3 errors that may exist with forecasting in this industry (including specific examples) and what you can do to ensure better forecasting outcomes.
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