DFA indicator
Activate the DFA indicator to detect to detect forecast deviations, indicating the level of accuracy in predicting actual demand.
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With the DFA error measurement feature, you can evaluate the accuracy of your forecasts. DFA (Distribution of Frequency Error) assesses both the precision and the accuracy of forecasts by analysing the distribution of forecast errors and how predictions deviate from actual values.
In addition, DFA is less sensitive to outliers and large deviations, making it more robust in environments with irregular data. A lower DFA value indicates lower forecast accuracy, suggesting greater discrepancies between forecasted and actual values. Conversely, a higher DFA value indicates greater forecast accuracy, meaning the forecast is more closely aligned with actual sales or demand.
Technical sheet
| Version: | 1.0 |
|---|---|
| Last update: | 10/1/2023 |
Integrate the feature and go one step further in optimising your tool.
Report generation
Include this indicator in the most relevant reports offered by the tool, as well as in the control tower, to have a quick overview of those products that need more attention.
Continuous improvement
Facilitates a continuous improvement process by providing feedback on forecast accuracy.
Deviation identification
Identifies whether forecasts are consistently trending away from actual demand.