Running the analysis

Open the data file tcm_kpi.sav.
From the menus, choose:
Analyze > Forecasting > Create Temporal Causal Models...

Figure 1. Temporal Causal Modeling, introductory dialog box
Select date for the Date/Time field and click Continue.
The data for date are scanned to determine the time interval between successive observations.

Figure 2. Temporal Causal Modeling Time Series
Select Use predefined roles.
In the sample data set tcm_kpi.sav, the fields Lever1 through Lever5 have the role of Input and KPI_1 through KPI_25 have the role of Both. When Use predefined roles is selected, fields with a role of Input are treated as candidate inputs and fields with a role of Both are treated as both candidate inputs and targets for temporal causal modeling.

The temporal causal modeling procedure determines the best inputs for each target from the set of candidate inputs. In this example, the candidate inputs are the fields Lever1 through Lever5 and the fields KPI_1 through KPI_25.
Click Observations in the Select an item list on the Fields tab.
Figure 3. Temporal Causal Modeling Observations

The Observations settings specify the fields that define the observations. Notice that the Time interval was automatically set to Weeks, as a result of scanning the data.
Go to the Model Options tab and click Save in the Select an item list.
Figure 4. Temporal Causal Modeling Save
Select Export model system to save the temporal causal model system to a file.
The model system file can be used by the Temporal Causal Model Forecasting procedure to obtain updated forecasts or to generate any of the available output. It can also be used by the Temporal Causal Model Scenarios procedure to run scenario analysis.
Click Browse to go to where you want to save the model system file and enter a name for the file.
Click Run.