Schedule Statistics

Updated 7 months ago by Leigh Hutchens

In Statistics, it's also possible to see information about input data and the different outcomes and configurations. Depending on how many input data are set up, you may or may not want to display the different data in the schedule view.

There are two options to view the data on a table view that will give you an hourly level of granularity and a graph view with down to 5 minutes, depending on configuration and uploaded datasets.

To show and select items to be shown in relation to forecast do the following

  • From Schedule
  • Choose to display statistics
  • Choose the input data you are interested in, and you will be presented with three options
    • Automated forecast: This is the automatically calculated prediction from the selected Forecast configuration.
      • If you have edited some or all of values, they will be shown as dotted lines in the graph view.
    • Actual data: This is the actual data sent in for the period you are viewing.
    • UploadedForecastData - This is the forecast that has been uploaded to be used as a guide/budget.

In the example below, I only want to display the configuration "Automated forecast" for the input data "Sales".

I would then only check Sales > Automated forecast (in this case, the automated configured forecast for the input data sales). I will then be able to view this in the table view and in the graph view.

You can also edit a prediction directly from the statistics table.

You can edit by clicking on a future data point applying a set value or choose to increase or decrease with a percentage value

You can also edit from the "summed" value in the bottom left of the statistics.

If you want to enter a percentage with decimals, use a period, not comma. For example, 50.25% not 50,25%.
Note: If you are sending section level data only, the data will be aggregated at the unit level. It will not be possible to apply edits at the unit level in this case. Edits must be performed at the section level.

An underlined number indicates a manual edit has been applied, changing the value from the originally forecasted value. You may also see an underlined optimal headcount number if the optimal headcount number increased or decreased as a result of the change in forecast. The optimal headcount number is defined by your dynamic rules.

The example below shows a day with forecasted values and optimal headcount values prior to any changes being made:

And now after a change being made at 20:00 (8pm).

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