When you make a forecast, the AIssisted Time Series Prediction Wizard takes your source data and calculates prediction data. The AIssisted Predictive Preview then shows these two data types for comparison—complete with table, graph, and accuracy percentage.
Once you have defined a particular area of a cube using the Predictive Forecasting Wizard, the Predictive Preview shows the figures of the data populating this area. Choose the
Comparison version from the comboboxes to compare them with the prediction data.
The below example shows the predicted forecast for gross revenue, with
Actual chosen as the comparison dimension:
You see the predicted values along with their upper and lower bounds, and the comparison version shown in orange. You can show different data by choosing a different
Comparison version from the combo boxes. If you select a measure other than
Actual, a blue line will appear depicting the Actual measure. (You can hide a line in the graph by clicking on the corresponding, color-coordinated labels below the graph).
Here is an example of a prediction forecast for the months of 2018 with the Comparison version set to
The fields and functionality of the Predictive Preview are described below:
|Measure (combobox)||Choose the
|Comparison Version (combobox)||Choose the
|+ 3 months (button)||
|Actual (source)||This is the actual figures for the duration of your prediction. It is what your prediction compares itself to determine its accuracy. The source is always the data you entered from the
|[Actual] (comparison)||This is a dynamic figure that compares to the predicted forecast. Note: If you change the
|Prediction||The prediction is the forecasted data produced by the AIssisted Planning Workflow Wizard.|
|Prediction_lower||This is the lower bounds of your prediction data, i.e the lowest point your data is expected to sink below the predicted forecast.|
|Prediction_upper||This is the upper bounds of your prediction data, i.e. the highest point your data is expected to rise above the predicted forecast.|
|Accuracy||The relative accuracy of your prediction and its
Please note: although you can make a predictive forecast based on fewer than 36 months of data, we strongly suggest 36 months as a minimum for optimal accuracy.