Pre-computation on Scenarios

The pre-computation of selected scenarios is the process of storing signals data for the scenarios specifically chosen from the database.

When you select a scenario for which the signal information is already available in the application due to pre-computation, the Signal summary is displayed quickly, thereby saving time to fetch the required data.

The Pre-computation process compares the user's forecasted or budgeted data against the AI-generated statistical ranges from the Model Training algorithm. The Model Training algorithm output comprises an upper range and a lower range.

Following are a few important points to understand pre-computation of scenarios.

• If the forecasted or budgeted data falls within the AI-generated statistical range, the Signals AI engine will not generate any signals and show anomalies.

• If the forecasted or budgeted data does not fall within the AI-generated statistical range, the Signals AI engine will generate signals and show anomalies. Also, the AI engine-generated data is stored in the database to display the signals.

• If the selected scenarios contain historical periods as open periods, then the algorithm will run only from the current period onwards.For example: If the selected scenario has open periods as Financial Year 2019, 2020, and 2021, and the current month is November 2020, then the model training algorithms and pre-computation algorithms will consider open periods from November 2020 onwards until December 2021. The model training algorithms and pre-computation algorithms will not consider the periods between January 2019 and October 2020, even though the selected scenario has open periods starting from January 2019.

• If any of the selected scenarios are locked, the Pre-computation process will run, and the signals and AI-generated statistical range will be generated.

• You will be displayed signals of scenarios to which you have already been given access.

• Admin users can select up to 3 scenarios for Pre-computation. You can mark one scenario as an active scenario that will appear as the default selection against the Selection Criteria scenario dimension. Once you select an active scenario, you can initiate the Model Training process.

• You can only select Budget and Forecast scenarios.

• Scenario dimension in Selection Criteria will contain only those scenarios the admin users configure.

• You must select the Pre-computation scenario before using the Predict Signals functionality.

• Whenever you update data in the Pre-computed scenarios, then you must rerun the Pre-computation.

• If the selected scenario is deleted:

  • When one of the existing Pre-computed scenarios is deleted from configuration selection, any signals data against the scenario will no longer be available.

  • If any of the users use the deleted scenario, the signals dashboard will not display any data when they refresh the page.

  • You must select any scenario from the list of newly available scenarios in the Selection Criteria.