These flexible formats allow you to easily import and export data from virtually any source. There is also an on-line time series editor to enter your data directly, or to modify and amend files. Event Adjustment Models Event models extend exponential smoothing by providing adjustments for special events like promotions, strikes or other irregular occurrences. You can adjust for events of several different types. These could be promotions of different sizes or types, or the effects of holidays like Easter and Independence Day.
Event models are easy to build and adaptable to a variety of situations.
Event models are similar to seasonal index models. In a seasonal index model, each month gets its own index, which is updated each time that month recurs. In an event adjustment model, each event type gets its own index, which is updated each time an event of that type recurs. The difference is that while January recurs every 12 months, an event of type 1 can recur irregularly. This event variable must cover both the historic and forecast period.