Temporal Causal Model Scenarios

The Temporal Causal Model Scenarios procedure runs user-defined scenarios for a temporal causal model system, with the data from the active dataset. A scenario is defined by a time series, that is referred to as the root series, and a set of user-defined values for that series over a specified time range. The specified values are then used to generate predictions for the time series that are affected by the root series. The procedure requires a model system file that was created by the Temporal Causal Modeling procedure. It is assumed that the active dataset is the same data as was used to create the model system file.

Example

Using the Temporal Causal Modeling procedure, a business decision maker discovered a key metric that affects a number of important performance indicators. The metric is controllable, so the decision maker wants to investigate the effect of various sets of values for the metric over the next quarter. The investigation is easily done by loading the model system file into the Temporal Causal Model Scenarios procedure and specifying the sets of values for the key metric.

This procedure pastes TCM ANALYSIS command syntax.