Free ServiceNow CAS-PA Exam Dumps August 2026

When you use Analytics Q&A, the suggestions from previous searches are now shown together with the suggested indicators, tables, and columns.

As you type in a query, Analytics Q&A suggests recent searches, indicators, tables, and columns that match what you have typed so far. Only the tables and columns to which you have access are shown.

If Analytics Q&A cannot determine which table you want, it shows you up to three likely tables.

When you create an element filter, you can include conditions on a related field in a different table than the breakdown source table.

Element filters enable you to limit the displayed breakdown elements on an Analytics Hub or widget using filter conditions, including personalised visuals.

You can select an element filter when viewing breakdowns on an Analytics Hub or configuring a breakdown widget.

For example, you could create an element filter on the Groups breakdown source, which uses the Group [sys_user_group] table. If you added a related list condition on Incident [incident]->Assignment group, you would get only groups that had an incident assigned to them. If this condition included [[Created][on][Last 6 Months]], you would get groups that were assigned an incident that was created within the last six months.

You can set target values for indicators. When you set a target for an indicator on the Analytics Hub, you can now do the following:

* Set a start date in the future.

* Set a review date on which to consider updating the target.

* Set the target as an improvement on the average score or on the previous target. You can set the improvement as a percentage.

You can have the targets apply only to specific breakdown elements and time series. The target starts to apply at a selected date and continues to apply until you set the next target. However, you can set a review date on which to reconsider the target.

You can add multiple data sources of the same type for time series (including Area, Column, Line, Stepline, and Spline) and bar (including Horizontal bar and Vertical bar) visualisations.

When you select an indicator as the data source, you can filter the results by breakdown and breakdown element.

If you have the 'Label for unmatched' field defined on the breakdown source for a selected breakdown, this label appears in your choice of Elements.

Select the label to display scores that do not match any of the elements.

This option helps provide views into whether you need to create additional breakdowns or adjust data values.

A pie visualisation shows how individual pieces of data relate to the whole using a circle to represent the whole.

A Donut visualization shows how individual pieces of data relate to the whole using a donut shape to represent the whole.

Single score visualisations display a single, key business value or current aggregate indicator score. You can set a score to update in real-time.

The following enhancements are made to pie, donut, and single score visualisations in the Quebec release:

* The metric label name is displayed near the metric value.

* Legend percentages are shown along with values.

* Data labels are shown as only percentages, as values, or as both.

Gradient, texture, or no colour are not valid colour options for data display.

You can set 'default', 'colour palette' and 'fixed element colour' for pie and donut visualisations, and 'default' and 'single colour' for single score visualisations.

You can add multiple data sources of the same type for time series (including Area, Column, Line, Stepline, and Spline) and bar (including Horizontal bar and Vertical bar) visualisations.

When you select an indicator as the data source, you can filter the results by breakdown and breakdown element.

If you have the 'Label for unmatched' field defined on the breakdown source for a selected breakdown, this label appears in your choice of Elements.

Select the label to display scores that do not match any of the elements.

This option helps provide views into whether you need to create additional breakdowns or adjust data values.