It also provides insight into the characteristics of historic demand. For instance:
- Significant use of basic and intermittent methods shows that historic demand was a high variable, which makes for a difficult basis for statistical forecasting. These methods are the best algorithms to be applied in such cases.
- Significant use of moving average methods imply that historic demand is relatively flat when averaged out. There might be peaks and dips, but the average doesn't show growth or decline.
- Significant use of trend methods implies that there is an upward or downward trend in the data. If there isn't an obvious seasonality to the data, there isn't enough history to identify what the seasonality might be.
- Significant use of trend seasonal methods illustrates that there is both an upward and a downward trend and a detectable seasonal profile.
Method Utilization Table and Graph
The Method Utilization Table and Method Utilization Graph display statistical methods used by the frequency of the applied methods as determined by the system’s best fit feature described in D2410: Best Fit Analysis. The table and graph are used to identify the most used methods.
Best Fit Results by Forecast Method
The Best Fit Results by Forecast Method table displays the best fit results by forecast method.
The context selector underneath the table (bottom-left corner) displays a list of forecast methods.
Select a forecast method from the context selector. To search for a forecast method, enter a search term in the Find... field.