Select time aggregation in KPI Details
You can aggregate changes in indicators into discrete time intervals. A time aggregation consists of an AVG or SUM function combined with a time series, such as By quarter.
Before you begin
Role required: None. However, upgraded instances may require pa_viewer.
About this task
To explore a different time aspect of the indicator, apply one of the following time aggregations:
- Running
- Smooth out spikes to reveal trends. For example, looking at daily incident counts may show a decrease every weekend, but a 7-day running average smooths out those drops.
- Period
- Aggregate data to a less frequent period. For example, you may want to track the number of P1 incidents daily, but the frequency is too high when scores are considered daily. Instead, you can set a target at the monthly level with a "By Month” time series.
- To date
- Show cumulative scores. These time aggregations are useful when you have a monthly target to hit, but you also need to see the velocity throughout the month.
For more information about the use, behavior, and limitations of time aggregations, see Applying time series aggregations. For examples and a deeper exploration of using time series aggregations with indicators, see this Performance Analytics Academy video, Leveraging Time Series with Performance Analytics.
Procedure
Result
Time aggregation on an daily indicator
In the following time aggregation menu, the daily indicator Number of open incidents is aggregated by period to a weekly sum. Partial weeks are not included.