If Startup & Logon Times Are OK

The Startup Time (ANALYZE > Graphs > Trend View > Startup Time) and Login Time (ANALYZE > Graphs > Trend View > Login Time) trend view graphs give you overviews of periodical trends in your startup or login time data.

Tip

This graph is useful because … it lets you detect if startup and login times are increasing in all or individual parts of your organization.

Tip

Have you ever wondered exactly when a computer is considered to be started, or exactly when a user is considered to be logged in? Read Startup and Login Measurement Facts to find out.

On the graph’s Setup tab, select the following, and then view the result on the Graph tab:

• Agents: Select the group of computers that the chart should be based on. Super groups, that is groups of groups, are enclosed in <>.
• Trend Period: Select the period that each data point on the graph covers.

Important

Example: If you select Day, the graph will display one data point per day.

Tip

An hour-based trend period is particularly useful when you view data from up to one week. A day-based trend period is useful when you view data from up to one month. A week-based trend period is useful when you view data from more than one month. A month-based trend period is useful when you view data from more than six months.

• Type: Select which type of information you want to see on the chart. You can choose averages or 90-percentiles for each trend period.

Important

What's a 90-percentile?

It is the value below which 90% of the startup/login times are found. For example, if your startup times have a 90-percentile of 25 seconds, 90% of your computers start up in 25 seconds or less.

• Interval: Select the period of time that the graph should cover.

Important

What does the interval X days mean?

If you select X days, you can define your own period, for example 90 days (which would cover the last 90 days). This can be particularly useful if you are going to include the trend graph in a report: Many organizations generate monthly trend reports that each cover the last 90 days. This would not always be possible with the Last Quarter interval, but with the X days interval you can generate such reports.

If the predefined intervals don’t suit you, select Custom. See Custom Time Periods on Graphs.

Caution

Data is aggregated on a per-period basis. The available trend periods depend on the PerformanceGuard configuration (ADMINISTRATION > Reporting > Periods).

Caution

Average values on trend graphs are based on a weighted average. That means that each value to be averaged is assigned a weight based on the number of occurrences of that value.