On the Widget Configuration form, Time Series that are not compatible with the Indicator Frequency can be displayed and are selectable, while documentation states the opposite.
According to the documentation, there are Indicator frequency limitations on time series aggregations: "You cannot select a time series aggregation that is applied to scores more frequently than those scores are collected.".
In other words, Monthly time series (By month SUM for example) or Yearly time series (By year SUM for example) are not supported for Indicators which frequency is 'Monthly' but they can be selected on the Widget Configuration form.
As a result of this issue, you can observe the error "Not a valid Indicator, Breakdown, Element or Aggregate combination" while clicking on the Indicator to access its scorecard.
1. Create an Indicator Group.
2. Add an Automated Indicator which frequency is 'Monthly' to the Indicator Group created at step 1.
3. Create a Widget as follows:
- Type: List
- Indicator group: Indicator Group created at step 1
- Visualization: Scorecard
4. Display the list of Time Series available > All of them are displayed. Select "By month AVG+" and save.
5. When adding the Widget to a Dashboard, accessing the Dashboard, and clicking on the Indicator of step 2 to access its scorecard, the following error shows:
"Not a valid Indicator, Breakdown, Element or Aggregate combination".
After carefully considering the severity and frequency of the issue, and the cost and risk of attempting a fix, it has been decided to not address this issue in any current or near future releases. We do not make this decision lightly, and we apologise for any inconvenience.
The only workaround is to chose a valid time series aggregate for the indicator. As the documentation states you should only select time series aggregates with a frequency that is greater than the frequency of the scores being collected. For example, you can not select a daily, weekly, or monthly time series aggregate for an indicator that is collected monthly. Valid time series aggregates for a monthly indicator could be quarterly or yearly.