Performance Analytics

The level of access to KPI Composer determines whether a user can create, edit, or only view a KPI Composer project. It also determines which projects a user can access and whether they can access the underlying records or only the UI.

You can edit an indicator record so the indicator is eligible for Data snapshots, then activate Data snapshots for that indicator from the record.

Enable Data snapshots on an instance as a whole and on individual existing indicators (KPIs) on the instance. When Data snapshots are enabled, you can apply multiple breakdown levels to an indicator.

Each project can have a set of breakdown definitions that you can use to group the data in KPIs. These breakdown definitions provide the specifications for Performance Analytics breakdowns that you eventually create.

Add a filter to show more refined information in your Interactive Analysis.

Add any number of secondary indicators to an existing time series or list widget.

If you can create global targets or thresholds, you can modify or add personal targets and thresholds for any user.

Each project has several personas with different roles in the Performance Analytics solution that you are designing. A persona is a role within your company, such as service desk manager or service owner.

To navigate the admin console tree view effectively, it's good to know what the various icons and other visual data in the tree view indicate.

Understand how accessibility settings affect reports and Performance Analytics widgets on dashboards. Data visualizations on a Workspace are also affected.

Every combination of breakdowns, elements, a time series aggregation, and a domain that you specify for an indicator has a unique identifier (UUID). To write scripts or just to understand how the Analytics Hub works, you should understand how these UUIDs are constructed.

For a formula indicator, a time series aggregation can apply either to each indicator in the formula individually or to the formula result.

You can aggregate changes in indicators into discrete time intervals. These aggregations can make trends more easily visible, or help track progress against a target.

Display a domain picker on a dashboard to enable users of that dashboard to view scores from specific domains.

To collect Performance Analytics indicator scores from the domains specified in a domain configuration, associate that domain configuration with a collection job.

An automated breakdown uses a breakdown source to determine selectable elements.

An automated indicator uses an indicator source as its data set. The indicator source specifies a table or database view, conditions for filtering records from that source, and the frequency at which you expect to display the data. The indicator applies an aggregator and optional conditions to this data.

Preconfigured in-form analytics are available as plugins for several applications and their associated tables and forms.

Formula indicators inherit breakdown matrices from indicators in the formula.

Breakdown relations open a new navigation path for viewing breakdown scores, by moving from one breakdown element to another element of the same breakdown. The elements should be in an hierarchical relationship.

Breakdown sources specify which unique values, called breakdown elements, a breakdown contains.

Breakdown widgets show indicator scores grouped by breakdown elements. Different visualizations can be used to compare the relative proportion of breakdown elements or the trends in these proportions.

Element filters enable you to specify or limit the displayed breakdown elements on visualizations.

Bucket groups are used to recategorize data so it can be used as a breakdown, for example by grouping a range of values into discrete buckets.

Performance Analytics uses data collection jobs to collect and clean scores and snapshots. You can also set indicator scores manually.

Breakdowns enable you to group or filter indicator scores by a qualitative attribute such as Priority, Category, or Assignment Group. You can apply a breakdown on the Analytics Hub, in KPI Details, and on dashboards.

Learn about administering responsive dashboards including how to group dashboards, how to move a dashboard with an update set, and addressing permissions issues.

Responsive dashboards have special granular view and edit permissions that are managed from the Sharing pane. Access control lists (ACLs) apply to most widgets that are added to dashboards.

You can select contributing indicators in a formula to not be broken down. When a user applies a breakdown to the formula indicator, the breakdown does not apply to these indicators.

Some time series aggregations are inappropriate to apply to some indicators. You can exclude time series on automated, formula, and manual indicators. Excluded time series are not selectable from the Analytics Hub, KPI Details, or widgets. Other time series remain selectable.

Performance Analytics enables you to forecast future scores based on past behavior. You can forecast scores on time series widgets, time series data visualizations, KPI Details, and the Analytics Hub. Forecast scores appear as a dotted line.

Review the use cases, components, and architecture for indicator data sources and begin to implement indicators.

Indicators (KPIs) define a performance measurement taken at regular intervals of a business service, an activity, or organizational behavior. These performance measurements result in a series of indicator scores over time.

Indicator sources are data sets consisting of filtered records from one table or database view.

A workbench process widget is a collection of indicators that tell a story. The widget enables you to analyze multiple facets of multiple indicators on one screen without drilling down. This widget is useful when you want to monitor a process or service that has a workflow.

Define key metrics and data structure to generate scores.

The PADomainUtils API enables you to copy Performance Analytics records between different domains on the same instance.

Integrate Performance Analytics with an external system to collect scores based on remote data or to expose Analytics Hub information.

Create and configure indicators and breakdowns. Collect data. Display calculated indicator scores.

Domain separation is supported for Performance Analytics. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data. Performance Analytics supports collecting scores from multiple domains and can be configured to enable domain-specific administration. Extended domain configuration functionality is available for customers with complex domains.

Performance Analytics uses terms and concepts that can differ from industry norms due to the unique nature of the ServiceNow platform.

Without a paid Performance Analytics subscription, your use is limited to 180 days of data collection (five months for monthly indicators) and to specific indicators provided by ServiceNow, and you cannot activate Data snapshots. For unlimited access to all features, purchase a subscription to Performance Analytics.

Responsive dashboards enable you to share widgets such as reports and Performance Analytics visualizations in the classic environment. An easy-to-use drag and drop canvas helps you create, edit, and arrange content, and then share it with colleagues.

A breakdown widget can display 1st level breakdown elements that are related to the element selected for the dashboard. The widget must be on a breakdown dashboard, and that dashboard must include the breakdown sources of the related breakdowns.

You can add breakdown sources to a responsive Core UI dashboard. Dashboard users then can select a breakdown source and one or more breakdown elements to filter scores in the visualizations on the dashboard.

The Analytics Hub provides a list of indicators, their scores, and a customizable selection of other analytics. Click the name of an indicator to see more details about that indicator. The Analytics Hub replaces scorecards.

The Analytics Hub is an exploratory view of indicators, used for more detailed analysis. It lets you see trends, predictions, breakdowns, and associated records for a specific indicator. The Analytics Hub replaces scorecards.

Performance Analytics users can interact with individual breakdown widgets on dashboards to change the visualization or breakdown.

Widgets enable you to define visualizations for indicator scores. Widgets are shown on dashboards.

Cancel an active data collection job to stop the job from collecting scores.

The owner of a dashboard can edit it, and share it with other users.

Present analytics on Core UI dashboards through reports and Performance Analytics widgets. Explore Performance Analytics indicators on the Analytics Hub.

After you install an Platform Analytics Solution and ensure that it points at the correct data structures in your instance, collect the data for the indicators and breakdowns.

When you configure text analytics for an indicator source, no data is available until a relevant data collector job is run. If you have newly created a text analytics configuration, run a special collection job. If you have added indicators to an existing text analytics configuration, run a historical data collection job to collect only text analytics.

The elements of a breakdown that the Analytics Hub and KPI Details display for a selected date depend on the number of elements and the value of com.snc.pa.breakdown_element_cutoff.

When a data visualization illustrates multiple indicators, breakdowns, or table fields, the colors of the different values can follow a color scheme.

Conditional filters for indicator data cascade from indicator and breakdown sources up to data visualizations. Where conditions are applied can affect data collection efficiency. Some condition operators are only available at some levels, or in some conditions.

Collect a matrix of the two-breakdown combinations for an indicator. Exclude unnecessary or meaningless combinations of breakdowns from being collected.

Increase the efficiency of data collection by configuring job indicators to collect only necessary and sensible data.

Platform Analytics Solutions come configured with the expectation that you keep your ServiceNow AI Platform data in a standard set of tables and fields. If you are using different fields, configure the Solutions to point to the correct locations.

You can change the appearance of widgets; change widget layouts; change the colors of the widget title, header, and background; and show or hide widget headers.

To create a time series widget that fulfills your business goal, keep several points in mind.

Prepackaged solutions featuring Platform Analytics dashboards with data visualizations and Performance Analytics indicators (KPIs) are available for many ServiceNow products. Use these solutions to get started quickly.

You can create a ServiceNow UI page that displays a web page. You can then add that UI page to a widget that can be added to dashboards.

Show the length of time that has passed between two date/time fields on a Data snapshots source table. For example, calculate Age as the difference between Created and Updated. Use this value as an aggregate field on an indicator or in a bucket group mapping.

Learn about what you can do with a Core UI/responsive dashboard.

To examine the contribution of one or more indicators to a summing indicator, create a time series widget with an area visualization.

Select which breakdowns to assign to an indicator. Map which field on the indicator source references the breakdown source. If no appropriate field is available, specify a script to associate the indicator and breakdown sources.

To compare the elements of one breakdown applied to one indicator, use a column visualization.

To follow changes over time in both the scores of an indicator and the relative proportion of breakdown elements for that indicator, use a Columns and Total visualization in a breakdown widget.

To emphasize the indicator scores over time instead of the trend in scores, create a time series widget with a column visualization. You can also use column visualizations to compare indicators.

Create a domain configuration to define which domains to collect scores from and how to store scores within the domain hierarchy.

To analyze the performance of a business process that is recorded in a ServiceNow table, use an automated indicator. If you have Data snapshots enabled on your instance, you can create a Data snapshots automated indicator.

Create a formula indicator to calculate a score from two or more Data snapshots indicators.

To provide a filtered dataset of records that you can evaluate with one or more indicators, create an indicator source. Data snapshots indicators require different sources than do classic indicators. Data snapshots logs are accessible on the source records.

To group the scores of an indicator by two breakdowns, use a heatmap visualization in a pivot widget.

You can create a new KPI Composer indicator definition directly from the relevant artifact in the Data Definition tab. Fill the indicator definition with the necessary information for creating a Performance Analytics indicator.

As the first step in using KPI Composer, create a project.

To see the change between the latest score and a previous score, use a latest score visualization in a score widget. You can also show a trend line of scores.

Convert an artifact and its children in a KPI tree into a KPI Composer cross-project library element.

To follow changes over time in the relative proportion of breakdown elements for an indicator, use a line visualization in a breakdown widget.

To show the trend over time in indicator scores, create a time series widget with a line visualization.

To identify the most important breakdown elements when the breakdown has a large set of elements, use a Pareto visualization.

To show the relative proportions of the elements of a breakdown, use a pie, donut, or semi-donut visualization.

To compare the relative proportions of breakdown elements between a number of indicators, use a pivot scorecard visualization in a breakdown widget.

To show the relative proportions of the elements of a breakdown, particularly when the elements represent stages in a process, use a pyramid or funnel visualization.

To see the current score, use a real-time score visualization in a score widget. You can also show a trend line of scores.

Use a breakdown relation to set up navigation between a hierarchy of elements within the same breakdown. A field in the breakdown records must identify the hierarchical relationship of one record to another.

To show how the relative proportions of several indicators change over time, use a relative compare visualization for a time series.

To show how the relative proportions of several indicators change over time, use a relative compare visualization for a time series.

To list the metrics of several indicators, use a scorecard visualization in a list widget.

To show the trend for the elements of one breakdown applied to one indicator, use a scorecard visualization.

To show the latest score of an indicator compared to the range of scores, use a speedometer or dial visualization in a score widget. A speedometer also shows the indicator target.

To plot the scores of several indicators, use a spider visualization in a list widget.

To show the trend over time in indicator scores when you need to apply curve fitting, create a time series widget with a spline visualization.

To compare and sum the scores of several indicators, create a widget as a time series with a stacked column visualization.

To follow changes over time in the relative proportion of breakdown elements for an indicator, use a stacked column visualization in a breakdown widget.

To emphasize changes in indicator scores between discreet points in time, create a time series widget with a step visualization.

To display a hierarchy of breakdown elements, use a treemap visualization.

To help analysts visualize any patterns in user-entered text in an indicator, create a word cloud visualization in a text widget.

Library elements are single artifacts or trees of artifacts that you can reuse in multiple projects.

When you create custom content to be placed as widgets on Core UI dashboards, you must perform extra tests before you export the content to PDF.

The Performance Analytics Admin Console contains several features for responsive dashboard management.

The Dashboard Executions list enables you to view how long it takes for your Core UI dashboards to load and the ID of the user who launched it. The list includes one entry for the most recent launch of each dashboard per user.

Use properties to fine-tune dashboard behavior and appearance.

The Dashboard Stats Executions list enables you to view how long it takes for your Core UI dashboards to load. The list includes one entry for each launch of a dashboard.

The Dashboard Stats list enables you to view how often each of your dashboards is run and how long it takes to run them.

Dashboard URL parameters allow you to control the visibility of headers and the breakdown sources of responsive dashboards used in application pages.

Responsive Dashboards enable you to display multiple performance analytics, reporting, and other widgets on a single screen. Use dashboards to create a story with data you can share with multiple users.

Performance Analytics data collection jobs collect indicator scores. To debug data collection, it is helpful to understand the data collection process and how it is reflected in the job logs.

Each Data snapshots job creates log entries describing the events that happened when that job ran.

You can turn Data snapshots off or back on for an indicator, provided that indicator supports Data snapshots. An admin can turn the feature off for an instance.

In the Project Properties, you can associate knowledge articles, owners, and contact persons with the project.

Delete unwanted or unused indicators from your instance. Deleting indicators is risky, so there are several restrictions.

If you can create global targets or thresholds, you can delete them in bulk. Use the same process to delete another user's personal targets or thresholds.

You can see where any element in the tree view is used. This is useful when you want to change an element such as an indicator or breakdown and see the effect of your change on other PA elements.

The tree view enables admin users to see the relationships between PA entities and to know the impact of changes made to any node in the tree view hierarchy.

In the Analysis tab of KPI Composer, design your KPI tree. Specify your business goals, their associated critical success factors, and the measurement related to those factors. Chart the logical relationship between these factors and the personas who are responsible for them.

KPI Composer ensures that your performance management strategy aligns with business goals and has support from executive sponsors. Use KPI Composer to bridge the gap between defining your performance measurement strategy and the realization of that strategy from within Performance Analytics. Start with your business goals and plan all your components through indicators up to the final dashboard.

As the formula creator, you can handle contributing indicators that have null scores. First set the formula indicator to calculate the formula even when it contains a null score.

Dashboard owners have the option to disable multiple element select on an entire breakdown dashboard.

Domain separation is supported in dashboard creation and administration. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data.

Bucket groups let you use numeric data as breakdowns. Calculated fields show numeric data derived from date fields. Map bucket groups to either numeric or calculated fields on Data snapshots indicator sources to use those fields as breakdowns.

Several types of components are installed with activation of the Data snapshots plugin, including tables and scheduled jobs.

When you enable Data snapshots for an existing automated indicator, that indicator is associated with a Data snapshots source. The indicator follows the source's time zone. You might need to change the calendar frequency.

Copy an Platform Analytics Solution dashboard, including the tabs, portal pages, and canvas records. Widgets on the dashboard are not duplicated.

You can add artifacts to a library element, or convert a library element back to project-based artifacts. You can also edit the data definitions of artifacts in a library element.

When application administration is enabled for a scoped application, access control list (ACL) rules for the scoped application are applied. To allow your scope to use the ACLs defined on the [pa_dashboards] table but out of your scoped app, inherit the [pa_dashboards] ACLs.

To export dashboards to PDF, a plugin and property are needed.

Real-time updates ensure that users viewing a responsive dashboard always see the most up-to-date information.

The Category breakdown maps the Category field on the incident table to the Incident.Category breakdown source, which references the Choices[sys_choice_list] table.

The Age breakdown uses the RequestedItem.Age.Days script to calculate the age of incidents in days and map the values to the RequestedItem Age Ranges bucket group.

Quickly identify the relationships between Performance Analytics elements, such as dashboards, reports, and indicators. Each dashboard tab has customized interactive filters that enable you to refine the information that the dashboard shows.

Learn more about dashboards with a sample workflow and reviewing the benefits it can provide for different users.

To copy a KPI Composer project between instances, first export the project as a JSON file.

Some dashboards let you apply one or more Performance Analytics breakdown elements to filter the entire dashboard. For example, you can show only high and critical priority items or only the teams that report to a certain manager.

Use dashboard categories, dashboard groups, and dashboard lists to find the dashboard you want to use.

Formula indicators use data from other indicators to calculate new metrics.

For each KPI Composer artifact in your project, you can generate a task to create an equivalent Performance Analytics element. All tasks are created with one action. The tasks are assigned automatically to the responsible group for implementing analytics.

To insert a calculated value from the Analytics Hub into a formula, use a method in the formula.

In breakdown widgets, breakdowns either group or filter indicator scores. When you create a widget, this dual purpose of breakdowns affects the function of the breakdown fields.

After you activate an Platform Analytics Solution, run a historical data collection job. This job gives you immediate insight from your existing data.

Support for homepage functionality has been phased out. It is not possible to create or edit homepages at all when Next Experience is enabled.

Use the Homepage migration status table to address homepage retirement and conversion.

Use the Homepage deprecation help tool to find all of your homepages in one place and convert them to dashboards, retire them, and restore retired homepages as dashboards.

Populate the Homepage migration status table and then determine which homepages to convert to dashboards. You can convert homepages to individual dashboards or you can convert multiple homepages to tabs on the same dashboard.

After you populate the Homepage migration status table, you can convert one or more homepages to tabs on new or existing dashboards.

The Homepage migration status table enables you to address homepage retirement and conversion. Run a scheduled workflow to populate the homepage migration status table with information about the homepages on your instance.

Restore retired homepages as dashboards.

Use the homepage migration status table to retire homepages. When you retire a homepage, you remove visibility and editing options from all but the admin.

Dependency Assessment enables you to view, analyze, and edit your performance analytics components including widgets, indicators, and breakdowns, from a single view. The component hierarchy shows relationships between components. Use it to identify who is impacted by a change and what the effects are.

Follow these steps to begin using Performance Analytics to improve your service levels.

If you have an exported KPI Composer project, you can import it to your instance.

In-form analytics integrate performance insights into forms so that users can access important metrics in context and make better decisions.

You can write a formula to measure what the gap is to the overall target of multiple, combined indicators. Such a formula indicator is called an 'index indicator'.

You can track the trends for monetary fields of the types Price, Currency, or FX Currency. The scores for an indicator based on any of these fields are collected in the Reference Currency values.

Install a single solution metadata record used by a dashboard, such as a widget, to match the latest version of the record without impacting other records used by the same dashboard.

Use the Solution Library to install a dashboard and all its associated visualizations such as widgets and reports, and to configure existing dashboards.

To convert, retire, and restore homepages, install the Homepage deprecation help tool.

When you work with Interactive Analysis, you can view data from the perspectives of record counts, sums, averages, and distinct counts.

The Filter Info panel summarizes what the current filter shows and enables you to edit the source filter condition, bookmark an interactive analysis, and share an interactive analysis with colleagues.

Interactive Analysis enables you to quickly explore Performance Analytics data using visualizations.

The filters that you select persist between uses of Interactive Analysis per view and per user.

Interactive Analysis enables you to quickly explore data on a list of records.

Upon launching Interactive Analysis, duplicate filters are removed automatically from the Filters panel. You do not have to clean up the filter panel.

KPI Composer is based on projects. Each project in KPI Composer consists of Key Performance Indicator (KPI) trees and the functional and technical definitions of all artifacts within those trees. You can create multiple projects.

Use the Dependency Assessment tree view to view and edit Performance Analytics components including widgets, indicators, and breakdowns, from a single view. You can see the effects of your changes immediately.

Launch Interactive Analysis from any list.

Several features of indicators and breakdowns are not supported with Data snapshots and multiple breakdowns.

To enable the comparison of indicators to ITSM and ITOM benchmarks, link an automated indicator to the corresponding benchmark KPI. A benchmark KPI can be linked to only one indicator. You can compare the linked indicators in the Analytics Hub.

List widgets show the scores of multiple indicators.

Starting with the Tokyo release, a new, optimized data collector is available. The log details for this data collector differ from the log details of the classic data collector.

Depending upon their role, users can delete or duplicate responsive dashboards, and remove a user from a dashboard. All users can mark a dashboard as a favorite.

In a manual breakdown, you define the breakdown elements and the indicator scores for each element manually instead of using records from a breakdown source.

To be able to filter Data snapshots scores by a numeric field on the source table, map a bucket group to that field. The bucket group splits that field into value ranges.

You can edit a source filter in the Interactive Analysis Filter Info panel.

When you select multiple elements on a Core UI dashboard, widgets that follow these elements can show their values either separately or as an aggregate.

Data snapshots in Platform Analytics allows for multiple breakdowns while analyzing your indicators (KPIs). This architecture uses a change data capture (CDC) process, which captures data changes from configurable tables that are optimized for generating scores and time series at run-time.

The optimized Performance Analytics data collector reduces the time, memory, and CPU usage for processing large data sets.

Breakdown widgets have the following optional settings for the date range, the display, the grouping breakdown, and for the column contents. Not all options are available for all visualizations.

Time series widgets have the following optional settings for display, for the date range, and for the axis labels. You can also use these setting to select an elements filter in place of a first-level breakdown element.

Performance Analytics score collection follows the process described here. To aid troubleshooting, a mapping between job steps and log entries is provided.

From a single console, administrators can manage Platform Analytics Solution content, manage Performance Analytics widgets and dashboards, diagnose and resolve errors, view usage analytics, modify configuration settings and access ServiceNow help.

Before using Performance Analytics, familiarize yourself with how the layers of architecture take you from raw database entries to insightful visuals on dashboards.

A chart refers here to a graphical component of a Performance Analytics widget or the Analytics Hub. These properties apply only to the Core UI, not visualizations in configurable workspaces.

Several properties determine how long Performance Analytics scores and snapshots are maintained before the scheduled cleanup job deletes them.

Before you get started with Performance Analytics, understand how the data flows through the platform, ultimately resulting in your ability to visualize process improvements.

Data collector properties enable you to configure various limits for Performance Analytics data collection. The properties are configured to safeguard the data collection process. The default values are appropriate for most environments.

These properties set the default colors for the chart overall and for indicator targets.

When using Performance Analytics with domain separation, you can collect domain-specific scores. You can use global or domain-specific Performance Analytics table records or even a combination of both.

Instead of configuring Performance Analytics for the domains of a specific user, create a reusable domain configuration. Select domains that are visible to a group of users, or filter domains directly. Domain configurations let you define hierarchical relationships and aggregate scores across multiple domains.

Performance Analytics on external data sources enables you to perform detailed analysis on data that is not in your ServiceNow instance.

These properties set the year in Performance Analytics to match your company fiscal year.

These properties set limits on breakdown elements and indicators, mostly in the context of visualizations.

ServiceNow Performance Analytics is an in-platform process optimization solution that utilizes indicators (KPIs) to answer key business questions. Performance Analytics can help increase quality and reduce the costs of service delivery.

These system properties control the behavior of Performance Analytics.

The Performance Analytics Scores [pa_scores] table was split into two tables. This structure helps with processing large numbers of scores. You can migrate your scores from the old table structure to the new, using the score migration tool.

Performance Analytics provides several script objects for use in scripts and APIs for querying Performance Analytics data. The scripts serve as breakdown mappings or to calculate a value from an indicator.

Snapshots are the lists of records (sys_ids) that are collected at the time that the scores for those records are collected. Snapshots enable users to drill down into the records from a Performance Analytics indicator visualization.

Targets and thresholds enable you to define important points in your data and provide notifications when a score reaches a specific point.

Targets are goals your organization wants to achieve. Targets show the difference between the desired score at a certain date and the actual score of an indicator.

Thresholds define a normal range of scores for an indicator and alert you when certain events occurs, like when a score reaches an all-time high.

Indicator data sources address a different set of use cases than table data sources.

Copy a dashboard to another domain.

The PAFormulaUtils API enables you to obtain a value that was calculated in the Analytics Hub and use that value as input for a formula.

Returns the change in the score of an indicator between two specified dates.

Returns the percentage of change in the score of an indicator between two specified dates.

Returns the time series aggregate identifier (sys_id) from the indicator of the current formula. The sys_id is returned dynamically, as the selection in the Analytics Hub changes.

Returns the level 1 breakdown identifier (sys_id) from the indicator of the current formula. The sys_id is returned dynamically, as the selection in the Analytics Hub changes.

Returns the level 2 breakdown identifier (sys_id) from the indicator of the current formula. The sys_id is returned dynamically, as the selection in the Analytics Hub changes.

Returns the level 1 breakdown element identifier (sys_id) from the indicator of the current formula. The sys_id is returned dynamically, as the selection in the Analytics Hub changes.

Returns the level 2 breakdown element identifier (sys_id) from the indicator of the current formula. The sys_id is returned dynamically, as the selection in the Analytics Hub changes.

Returns the global target gap for the specified indicator on the specified date.

Returns the global target associated with the specified indicator for the specified date.

Returns the personal target associated with the specified indicator for the specified date.

Returns the score of the specified indicator for the specified date.

Performance Analytics uses terms and concepts that can differ from industry norms due to the unique nature of the ServiceNow platform.

Reference topics provide information about roles and properties, and include a glossary of terms.

Configure visuals with dynamic elements to show information that applies only to the person looking at the visual on a dashboard, service portal, or Workspace canvas.

Before creating an indicator, clarify what goals you wish to attain with the indicator.

By default, the flow to populate the homepage migration status table applies only to the global domain. You can create a flow to apply to the other domains in your instance.

Use the Spotlight feature to illuminate records that you might overlook.

Validate that Dashboards still work after you make any configuration change such as applying an upgrade. Copy and customize these quick start tests to pass when using your instance-specific data.

The following Platform Analytics Solutions are available for their corresponding ServiceNow Performance Analytics entitlements. The solutions are at no extra charge, but the underlying applications require appropriate licensing.

Indicators round fractional results using "Banker's rounding" or mathematical rounding depending on the indicator Precision.

Copies Performance Analytics records to a different domain.

Copies a Performance Analytics scheduled data collection job record to another domain.

Evaluate if you can write to a specific record identified by table and sys_id.

Moves Performance Analytics records to a different domain.

Instantiates a new PADomainUtils object to move or copy Performance Analytics records from the specified domain.

Instantiates a new PADomainUtils object to move or copy Performance Analytics records from the global domain.

Use this method to move or copy only foundational records in a hybrid domain configuration.

Use this method before copying records to set the sys_override value of the new record to the original parent record.

Assign roles to ensure that users can perform all necessary actions.

These examples demonstrate how to perform a REST query using cURL commands, and show the data returned for each command. Each example builds upon the last, with later examples using the data returned by earlier examples.

Complimentary Performance Analytics for Incident Management is a limited version of Performance Analytics that is included in the base system, enabling you to become familiar with the functionality. Subscribe to Performance Analytics for complete functionality.

You can view some Performance Analytics scores in real-time instead of from the most recent data collection job. If real-time scores are enabled, you can view them in KPI Details and in some data visualizations.

You can remove a filter from Interactive Analysis and specify whether to remove the filter element from Group by and Stack by lists in the analysis.

Request services associated with dashboards, such as to request a new dashboard or access to an existing dashboard.

Your ability to create, edit, view, or share a dashboard depends on your roles. These examples show what you can do with a dashboard based on your roles.

Specify additional roles required to access the dashboard when you share a dashboard with specified users, groups, and roles. Only users who the dashboard has been shared with and who have one of the specified roles can access the dashboard.

You can configure responsive dashboard properties to restrict which users can share responsive dashboards.

You can configure the users, roles, and groups that users can see on the Share panel when they share a responsive dashboard.

Breakdown sources represent the elements that you use to examine a KPI in more detail. Modify the breakdown source to limit the element list to only those items that are meaningful for the data analysis.

Determine which fields contain the data you are looking for in each application you are enabling for Performance Analytics.

Summarize both the created KPI Composer project artifacts and the planned Performance Analytics components. Validate the contents of your project. Generate the tasks to build the planned Performance Analytics components.

If a widget uses the same breakdown as the dashboard, the dashboard breakdown does not apply.

Enable the periodic data collection job for your Platform Analytics Solution. Check that the time that it runs is correct.

Schedule an indicator to automate its distribution.

Score widgets show aggregate indicator scores.