![](https://blogs.sas.com/content/forecasting/files/2017/02/BFD.png)
When do you stop trying to improve forecast accuracy? (Part 2)
Last time we saw two situations where you wouldn't bother trying to improve your forecast: When forecast accuracy is "good enough" and is not constraining organizational performance. When the costs and consequences of a less-than-perfect forecast are low. (Another situation was brought to my attention by Sean Schubert of