Forecasting Functions
Essbase forecasting functions allow you to manipulate data for the purposes of interpolating data or calculating future values.
Table 18-13 List of Forecasting Functions
Function | Data Manipulation |
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Apply a moving average to a data set and replace each term in the list with a trailing average. This function modifies the data set for smoothing purposes. |
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Apply a moving maximum to a data set and replace each term in the list with a trailing maximum. This function modifies the data set for smoothing purposes. |
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Apply a moving median to a data set and replace each term in the list with a trailing median. This function modifies the data set for smoothing purposes. |
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Apply a moving minimum to a data set and replace each term in the list with a trailing minimum. This function modifies the data set for smoothing purposes. |
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Apply a moving sum to a data set and replace each term with a trailing sum. This function modifies the data set for smoothing purposes. |
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Apply a moving sum to a data set and replace each term with a trailing sum. Specify how to assign values to members before you reach the number to sum. This function modifies the data set for smoothing purposes. |
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Apply a smoothing spline to a set of data points. A spline is a mathematical curve that is used to smooth or interpolate data. |
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Calculate future values and base the calculation on curve-fitting to historical values. |
See Also
Forecast Future Values