If the horizon for a data collection is changed, is it needed to:
A forecast horizon is the length of time for which forecasts are generated. While there isn't a specific concept of a "forecast horizon" within data collection itself, changes to the amount of historical data, related data, or attribute data can impact the forecast horizon of a model.
For example, if you are using the Anaplan Prophet algorithm with 12 months of historical data, your forecast horizon might be 6 months. If you increase your historical data to 24 months, your forecast horizon is 12 months.
In such a case, you would need to first "rerun data assembly" and then retrain the forecast model.
If anyone is aware of idea exchange ideas that are currently being evaluated by the product team, if you don't mind linking them here, would love to give them an upvote. Thanks!
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