Optimize 10.7 | webMethods Optimize Documentation | Using webMethods Optimize | Business Visualization Concepts | KPI Historical Average Values
 
KPI Historical Average Values
 
Setting the Mode of Operation
The KPI Instance Detail page displays:
*Actual readings. This is the same data that displays on the KPI Summary page. When data aggregation is necessary for display purposes, Optimize aggregates the data on each page using different formulas. For more information, see KPI Data Display above.
*Historical average values.
*Standard deviations of the actual readings from the historical average values.
Optimize displays historical average values based on a statistical interval.
The following table describes how Optimize determines the statistical interval based on the data collection interval and the data display interval.
If the data display interval for actual readings is
And the data collection interval is
Historical average values display at these statistical intervals
Less than or equal to 12 hours
1 minute to 30 minutes
1 hour to 8 hours
1 hour
No historical average values display
Greater than 12 hours but less than or equal to 2 days
1 minute to 30 minutes
1 hour to 8 hours
1 hour
No historical average values display
Greater than 2 days but less than or equal to 2 weeks
1 minute to 2 hours
4 hours to 8 hours
4 hours
No historical average values display
Greater than 2 weeks but less than or equal to 4 weeks
All
1 day
Greater than 4 weeks
1 minute to 30 minutes
1 hour to 8 hours
No historical average values display
1 week
Optimize plots the historical average value in the middle of each statistical interval. Example #1: the statistical interval is 1 hour. Optimize plots the average historical average value on the half hour. Example #2: the statistical interval is 1 day. Optimize plots the historical average value at 12:00 pm (noon).
Optimize supports three modes of operation for tracking historical average values:
*Weekday and weekend, two different values, one combining the historical average values for each day of the week (Monday through Friday) and another combining the historical average values for each day of the weekend (Saturday and Sunday). This is the default.
*Each day separate, seven different historical average values, one for each day of the week.
*All days the same, one value combining the historical average values for all seven days of the week.