Bulk Reforecasting by Applying Saved Models

You have used the Time Series Modeler to create models for your time series data and to produce initial forecasts based on available data. You plan to reuse these models to extend your forecasts as more current data becomes available, so you saved the models to an external file. You are now ready to apply the saved models.

This example is a natural extension of the previous one , Bulk Forecasting with the Expert Modeler, but can also be used independently. In this scenario, you are an analyst for a national broadband provider who is required to produce monthly forecasts of user subscriptions for each of 85 local markets. You have already used the Expert Modeler to create models and to forecast three months into the future. Your data warehouse has been refreshed with actual data for the original forecast period, so you would like to use that data to extend the forecast horizon by another three months.

The updated monthly historical data is collected in broadband_2.sav, and the saved models are in broadband_models.xml. See the topic Sample Files for more information. Of course, if you worked through the previous example and saved your own model file, you can use that one instead of broadband_models.xml.

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