956 - Reporting – Manage Accuracy Settings

Actuals: Uses shipment history as the basis for forecast accuracy.
Forecast: Divides the forecast error by the forecast.
Minimum Error: Divides the forecast error by the history or forecast, whichever gives the lowest error. This helps to prevent incentivizing behavior that can introduce bias into forecasts.

Use this table to specify the parameters in the forecast accuracy pages.

Parameter	Value
Forecast Accuracy Units or Revenue	Specify whether units or revenue is used as the basis for forecast accuracy measurement.
Forecast Error Basis	The calculation for forecast error is the absolute forecast error divided by the selected divisor. This parameter specifies the divisor used in the calculation. Actuals: Uses shipment history as the basis for forecast accuracy. Forecast: Divides the forecast error by the forecast. Minimum Error: Divides the forecast error by the history or forecast, whichever gives the lowest error. This helps to prevent incentivizing behavior that can introduce bias into forecasts.
Forecast Accuracy Measures	This option specifies the forecast accuracy you can measure with: MAPE Accuracy: This option specifies the forecast accuracy you can measure with the Forecast Accuracy (defined as 100% minus MAPE).
Lead Time Offset	Specifies the number of planning periods you can use as lead time offset for forecast error calculations. For example, for a forecast made for Week 1, if you select a Lead Time Offset of 2, measures the forecast you made in Week 1 from Week 3.
Periods To Sum	Specifies the number of planning periods to sum in the calculation of MAPE. From the previous example, for a forecast calculated in Week 1, when you select a Lead Time Offset of 2 and Periods to Sum of 3, you measure the forecast made in Week 1 offset to Week 3, and then summed for Week 3, Week 4, and Week 5.

The inputs you select display in the Effective Parameters table.

Parameters