An outlier is a data point that falls outside of the expected range of the data (i.e., it is an unusually large or small data point). If you ignore outliers in your data, there is a danger that they can have a significant adverse impact on your forecasts. This article surveys three different approaches to [...]
Preparing forecasts using data that contain one or more unusually large or small demand periods can be challenging. Depending on your forecasting approach, these “outliers” can have a significant impact on your forecasts. This article surveys three different approaches to forecasting data containing unusual demand periods, discusses the pros and cons of each and recommends [...]
The recording of our recent educational one-hour Webinar is now available for viewing on-demand http://www.youtube.com/watch?v=k2yt5Cd7fOo Learn about helpful tools that make it easier for you to focus on the specific items that need your attention: Outlier detection for highlighting anomalies in historic data. Exception reports for identifying problems in the forecasts. Item reports for quickly defining [...]
