If the forecast for
a line chart contains underlying factors, then you can apply scenario
analysis to explore hypothetical scenarios.
To apply scenario analysis:
-
If the table view for
the line chart is not shown, then select the
drop-down list from the visualization toolbar, and
then select
Show table view.
-
In the table view, select
the
Scenario Analysis tab. For each of the
measures that are assigned to the forecast as underlying factors,
a line displays the values of the measure, and a series of points
enables you to set the future values for the measure.
-
Use the check box beside
each measure to choose which measures are used in the scenario analysis.
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For each measure in
the scenario analysis, set the future data values. You can set the
values by using any of the following methods:
-
drag each data point upward or
downward on the line plot on the
Scenario Analysis tab.
To select the accuracy of the points, select the
icon beside the measure name, and select
Snap
interval.
-
enter the value for each data point.
Right-click on each data point, and select
Set point value.
-
set all of the values for the measure.
Right-click on a data point, and select
Set series values.
The
Change future values window enables you
to set all of the values to a specific value or to adjust the future
values relative to the most recent observed value of the measure.
To reset any data point
to its original value, right-click on the data point, and then select
Reset
point.
To reset all of the
data points for a measure, right-click on any data point for the measure,
and then select
Reset entire series.
-
When you are finished
setting the future data values for the scenario, click
Update to
apply the scenario to the forecast.
The forecast is updated
to show the results of the scenario. The original forecast is displayed
as an additional line that is labeled
(Baseline).
To remove the scenario
analysis from a forecast, click
Reset to forecast on
the
Scenario Analysis tab.