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Unified Communications Analytics 8.8.3 - User Guide

Introducing Quest UC Analytics Viewing UC Analytics insights Modifying UC Analytics insights Exporting and importing UC Analytics insights Automatically exporting and sending insights (subscriptions) Appendix A:Questions and Answers for UC Analytics insights Appendix B:List of UC Analytics insights

Using shortcut filters

In addition to using the filters menu available by clicking FILTERS, you can use shortcut filters. To display a shortcut filter menu, left-click on a value in a table or on a data point on a trend line.

The following list provides example of how to use shortcut filters to filter data in an insight:

For table columns that display text information, left-click on a specific value and filter on the value (show only, exclude), or browse to details for that value. You can also filter on the column type data.
For a graph with multiple trend lines, left-click on a data point on a trend line to filter by the trend (show only, exclude only), browse to the details view, or filter by the graph type data.
For table columns that display date information, left-click on a date and filter by the date (show only), or browse to details for that date. You can also filter by the column type data.
For Inventory insights, left-click on a numeric value in a table to filter on the value (greater than, less than, or equal to).

When you display an insight and click the details browser icon , the details browser displays a table on the left and a details panel on the right. You can left-click on individual values in the details panel to filter by the linked value.

In most cases, you must have full access rights to display the insight details browser.

Modifying insight graphs and charts

To see the options for a chart or graph within an insight, click (View options) in the right corner of the graph or chart view.

For trend graphs, you usually have the following options:

If smoothing has been applied to a graph or chart, the word Smoothed appears in the top right corner.

The UC Analytics smoothing function uses a simple moving average calculation over a seven-day window. On a smoothed graph, each data point represents an average of the previous seven days including the current day.

As a result, a smoothed graph for a specified date range will include data points from before the date range to calculate the averages for the first six points on the graph.

By applying a moving average over a seven-day window, UC Analytics avoids weekly low points (such as weekends or other low activity periods) in your data. Since low points are averaged with periods of normal activity, the resulting trend line shows a more constant curve without recurring drops.

Customizing tables in insights

You can customize the tables in insights. This feature is available for insights that show tables, either as the entire insight or as a view within a main insight. You cannot customize tables in the details browser. For information about the details browser, see Drilling down to detailed information .

You use the customize option to modify tables including:

You must add an insight to your home page to save your customizations (Add to Home Page).

Inserting additional columns in tables

You can customize the tables in main insights by inserting additional columns of information or removing columns. This feature is available for main insights that show tables, either as the entire insight or as a view in a main insight.

Click Manage field columns at the bottom of the COLUMNS list.
For example, suppose a Size field is shown in MB and you want to change it to GB. Click MB in the table definition and select GB from the dropdown list.

When you add columns to a table view in an insight, you can insert field columns and metric (calculated) columns.

When you click (Customize) icon on a table view, the columns used in the view are displayed. The different column types are identified by an icon to the left of the column name when you are viewing the insight definition page. In the COLUMNS list, the icons beside the column names indicate if the column is a field column or a metric (calculated) column.

A field column such as Company name has an icon consisting of two boxes connected by a right-angle:

A metric (calculated) column that shows a calculated total such as Received Messages has an icon of a stylized formula F(x):

On the table definition page, you can easily see all the metric (calculated) columns that are included in an insight by clicking Show/hide calculation columns.

If you have defined chargeback costs for entities such as Exchange email messages and mailboxes or Skype for Business/Lync peer-to-peer sessions, conferences, and voice calls, you can insert a column that shows the calculated chargeback cost in the detailed insights.

See the following procedure for an example.

In the library, type Details in the Search field.
Click Manage field columns.
Select the Show advanced fields check box.
Select Chargeback Cost from the list of fields and click Apply.

In some table views, you can change the grouping for the aggregated data through a selection field at the top of the view. For example, in the Email - Activity insight, in the Messages by Internal Senders and in the Messages by Internal Recipients, you can select the “top” grouping for the data.

In the Messages by Internal Senders you can group by Top Sender Department, Top Sender Name, Top Sender Office, Top Sender Country or Region, and so on.

When you click in the top right corner of the table view to customize it, you can insert additional columns in the table. However, in most tables, the insertable columns are attributes of an individual (such as sender or recipient). To have data appear in the columns, you must group by the individual (Top Sender Name or Top Recipient Name).

If you insert columns for individual attributes, such as Job Title or Telephone Number, into a table that is grouped by an aggregated entity (such as department, office, country, and so on), the aggregated entity does not have that attribute. The column is inserted but contains no data and the heading is dimmed. If you change the grouping to an individual, such as Top Sender Name, the columns are populated with data.

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