Which global parameter initializes the forecast input key figure to a small value when historical data is missing?

The choice that initializes the forecast input key figure to a small value when historical data is missing is the parameter related to handling null or missing values in the forecast process. The FORECAST_ESCAPENULL parameter in the FORECAST group specifically addresses how the system should treat scenarios where there is no historical data available.

When this parameter is set appropriately, it ensures that the system does not leave key figures blank or at an irrelevant default, which could misrepresent the forecast. Instead, it assigns a small value, allowing the forecasting algorithms to function better, as they can utilize this small value rather than dealing with complications that arise from empty or null data. This approach maintains the consistency and integrity of the forecasting process, which is crucial for planning and decision-making.

The other parameters listed do not directly influence the initialization of key figures in case of missing historical data in the same manner. The MAX_DIM_MEMBERS parameter deals with dimension limits in planning views; the MTHMISSIONS parameter is related to managing month assignments in scenarios; and the FORECAST_ALLOW parameter might control specific forecasting behaviors but does not specifically target the initialization of values stemming from missing historical data.