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.
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Estimated Level of Effort:4-8 Hours of Model Building Level of Difficulty: Beginner Recommended Training: L2 Model Builder Training Persona: Casual Model Builder Potential ROI: Decreased planning time Increased accuracy of targets/spreads You Might Also Like: * Historical Snapshotting Top-Down Allocations Whether it's…
Estimated Level of Effort: <4 Hours of Model Building Level of Difficulty: Beginner Recommended Training: L1 Model Builder Training Persona: Casual Model Builder Potential ROI: Decreased response time to address risks Increased forecast accuracy You Might Also Like: * Tops-Down Allocations Historical Snapshotting One of…
