Define advanced baseline forecast settings

Advanced settings are optional when you create a baseline forecast. If you choose to specify advanced settings, you can use the Advanced settings page to set seasonality, set the scope of historical data, define a confidence interval, define where you want the forecast values to appear, and set data spreading.

The following options are available on the Advanced settings page.

Seasonality: The seasonality with which to build the model. Seasonality is when the specified timeframe has a predictable cyclic variation. For example, during a holiday period each year.
Auto-detect is enabled by default. Auto-detect automatically detects seasonality by building multiple models with different seasonal periods and choosing the best one.; If you turn Auto-detect off, you can specify seasonality by entering a non-negative integer, such as 0, 1, 2, 3 in the Enter seasonality interval field.; To specify a non-seasonal model, set the Enter seasonality interval to 0 or 1. A model with user specified seasonality is displayed only if the seasonal model is more accurate than all of the non-seasonal models.
Confidence level: The certainty with which the true value is expected to be within the specified range.; You can select three different confidence intervals: 90%, 95%, and 99%. The default is 95% and the lower and higher bound define the range at which you can be 95% confident that the true value lies within that range.
Adjust outliers: When this option is turned on, all detected outliers are corrected before performing the forecast.
Spread forecast values: Define the data spreading method you want to use to spread data to consolidated cells.; You can use the Proportional and Relative proportional data spreading methods. For more information, see Apply data spreading to a forecast.
Where do you want to save the predicted values: This section lets you identify the particular dimension, hierarchy, and member where you would like to save your forecast values, as well as where you would like to save upper bound and lower bound values.
For example, you would typically save forecast values to the Forecast member of a Version dimension.

After you define your advanced settings, click Next to view the baseline forecast summary and activate the forecast.