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The Usage Per User report lets you monitor license usage for a selected type of aggregation to use for the report (described below). With this report, you can change time constraints, as appropriate for your needs; for example, you can display license usage information based on monthly usage, but limit the results shown to weeks.
It is worth noting that the Usage Per User report may serve as a warning signal, letting you see the overall trend of license usage based on peak license usage. Therefore, you can consider if the values represent a one-time event or a recurring event that begins to look like a trend.
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Aggregation enables you to specify detailed levels of the pro duced results. License usage information can be displayed for a specified entity, letting you juxtapose one set of data with another.
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The following diagram shows how License Statistics aggregation options are used by real-world entities in a"with a company. |
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Grouping by a unit of time lets you group values from specified fields together. For example, license usage information can be displayed on a daily basis and grouped into a value for the week, the weekly usage information can be aggregated into a value for the month, and so on. Grouping works in the same way for all other available time units, for any set of selected values.
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Let's assume the following values have been returned after grouping feature usage information by Month.
When we choose to group the above feature usage information by Month and set the start date to April 4, 2014, we obtain the following values:
When we decide to set the start date to April 1, 2014, we get the following values:
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Column Name | Description |
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Date | A particular day or period of time, whose format depends on the selected grouping option.
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Hostname | A single hostname of a list of hostnames where license usage took place. |
Username | A single username or a list of usernames. |
Usergroup Name | The name of a group of users. |
Hostgroup Name | The name of a group of hosts. |
Hours Used | The number of hours at least one license of a particular feature was used and/or borrowed. |
Hours Borrowed | The number of hours at least one license of a particular feature was borrowed. |
Max Used | The maximum number of licenses used in a particular time period. |
Max Borrowed | The maximum number of licenses borrowed in a particular time period. |
Max Usage | The maximum allowed level of feature usage, expressed in percentages. |
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To better understand how possible aggregation scenarios work, let’s look at the following example:
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