Predictive Time Series Forecasting

When working with planning models, you can run predictive time series forecasts on your data within a story grid or table.

A predictive time-series forecast runs an algorithm on historical data to predict future values for a specific measure in a planning model. The forecasted values can be later used in the planning process. The prediction is only applied to the specific selected measure; however, booked data will be overwritten if you choose to run a forecast over a cell containing historical data. Other data in the version will not be impacted.

While running a predictive time series forecast, you can determine the time range for the prediction and the past time periods to use as historical data.
Note
The lowest time granularity supported for time series forecasting is monthly.
You currently cannot run predictive forecasts on the following:
  • Calculated measures

  • Formulas

  • Blended datasets