Chris Webb starts an interesting series:
[This function] calculates or predicts a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm. The predicted value is a continuation of the historical values in the specified target date, which should be a continuation of the timeline. You can use this function to predict future sales, inventory requirements, or consumer trends.
Recently I started playing around with this function to see how it could be used with cube functions and since I learned so many interesting things I thought it would make a good series of blog posts.
Read on for an example of the normal way to use this function.