Building Models and Producing Forecasts

The Forecasting add-on module provides the following procedures for accomplishing the tasks of creating models and producing forecasts:

• The Time Series Modeler procedure creates models for time series, and produces forecasts. It includes an Expert Modeler that automatically determines the best model for each of your time series. For experienced analysts who want a greater degree of control, it also provides tools for custom model building.
• The Apply Time Series Models procedure applies existing time series models--created by the Time Series Modeler--to the active dataset. This allows you to obtain forecasts for series for which new or revised data are available, without rebuilding your models. If there's reason to think that a model has changed, it can be rebuilt using the Time Series Modeler.
• The Temporal Causal Models procedure builds autoregressive time series models for each target and automatically determines the best inputs that have a causal relationship with the target. The procedure produces interactive output that you can use to explore the causal relationships. The procedure can also generate forecasts, detect outliers, and determine the series that most likely causes an outlier.
• The Temporal Causal Model Forecasting procedure applies a temporal causal model to the active dataset. You can use this procedure to obtain forecasts for series for which more current data is available, without rebuilding your models. You can also use it to determine series that most likely cause outliers that were detected by the Temporal Causal Models procedure.