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Global Environments are identifiers for special circumstances (by day) that significantly impact the forecast of all statistical KBIs for your entire property. When you create an Global Environment, Watson
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automatically attaches it to every statistical KBI and calculated KBI specified for your property.
Creating events let you segregate historical data, so you can exclude this data from normal conditions. This feature lets Watson lets
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provide more accurate forecasts. For instance, New Years Eve each year is totally sold out throughout the property and all outlets are busy. Therefore, all KBI's in the property are affected.
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Since Global Environments are associated with all KBI's in the property for specific dates, you do not have to do anything for Watson for
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to forecast upcoming event volumes. It will simply look at the history associated with the same date and use appropriate forecasting methodology to calculate the new volumes.
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For example, assume you have designated New Years Eve (Dec. 31) as a Global Environment. Watson
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will exclude the volumes for this date when it forecasts volumes for the upcoming forecast period for all calculated and statistical KBI's.
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