Platform Analytics

Use Platform Analytics dashboards to access, organize, and share data in a visual format.

Learn how to dot walk table fields in a data visualization of table data. See how to start from a parent table, such as Task, and dot walk to include data from extended tables, such as Indicator and Problem.

In KPI Details, the More actions menu lets you open the record or the scoresheet of the indicator you are viewing.

Enable AI Data Explorer skills under AI skills for Data and Analytics to give users AI-assisted, shared spaces to explore data.

Give users generative AI capabilities for creating data visualizations from the ServiceNow Otto panel by activating the dashboard and visualization export skill.

KPI Signals does not monitor indicators by default. You activate monitoring for individual indicators. When you activate KPI Signals for an indicator, you make yourself a responsible user for that indicator.

Add an Analytics Overview and its related pages to your own workspace/experience through page templates.

Technical dashboards do not support preconfigured destinations for drilling down from a data visualization. If you want a viewer to open a more detailed view of the data when they interact with a visualization, configure a custom drilldown event.

Technical dashboards do not support preconfigured destinations for drilling down from a data visualization. If you want a viewer to open a more detailed view of the data when they interact with a visualization, configure a custom drilldown event.

You can add either a technical dashboard or one made in the inline editor to a page you built from the Dashboards page template. Configure the dashboard component on that page.

Put the visualization contained in a response from AI Data Explorer on a new or existing dashboard. Do so without interrupting your workflow in your exploration.

To make a data visualization on a dashboard reusable, or to be able to edit it in the Visualization Designer, add it to the data visualization library.

Add a visualization from the Visualization Designer to a new dashboard or to an existing dashboard.

Populate your dashboard with a selection of widgets, including data visualizations and filters.

Create a Platform Analytics filter in the Filter Designer and add it to the library for reuse.

To filter data visualizations and simple lists in a technical dashboard, add a filter component in UI Builder and configure event handlers.

Add, modify, or delete personal thresholds. With the required roles, you can also add, modify, and delete thresholds for all users.

Select multiple breakdown elements in the KPI Details target configuration panel. Add the same target to each element. This target can be an improvement on a baseline instead of an absolute value.

Use the ServiceNow Otto context menu to enable ServiceNow Otto skills to be displayed directly in the dashboard.

From a report view ACL assessment, you can add an affected user to a group that has a required role. The user can then view the data visualization or Core UI report.

Add more tables to the Query Generation semantic layer so that users can use ServiceNow Otto for Platform Analytics applications to ask questions about the data in those tables.

You can place Core UI workbench widgets on an inline dashboard. They are added in compatibility mode.

You can either create a new workspace with preconfigured Platform Analytics pages in App Engine Studio, or add Platform Analytics pages to your own workspace.

The KPI Signals application includes jobs that detect signals automatically. These jobs run so responsible users can be notified of new signals without opening the application. The job for signals on formula indicators requires scheduling.

Complete these steps to enable AI Data Explorer and verify that the semantic layer is configured correctly for your organization.

Use Query Generation logs to inspect failed or incorrect queries and identify common issues with AI Data Explorer responses.

AI Data Explorer is your AI-companion for instant insights and deep data explorations. Ask quick questions, receive tailored recommendations, and collaborate with AI and your colleagues to build long-term analysis.

AI Data Explorer supports indicators as data sources by default. If you do not want the application to use indicator data on your instance, you can turn this support off.

Reference topics provide additional information about the roles and tables in AI Data Explorer. They also describe how AI Data Explorer supports domain separation.

Information about the roles, tables, and scheduled jobs included with the data visualization generation and dashboard and visualization export skills.

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

Generate and export Platform Analytics artifacts from conversational interactions. For example, ask for information about the number of open incidents and get a single-score data visualization. Then export that visualization as a PDF file, all in the ServiceNow Otto panel.

Dashboards are canvasses for organizing and sharing data visually. They contain data visualizations, filters, and other visual elements.

Data visualizations use graphics to show table, indicator, and other data. They combine and extend the functions of reports and Performance Analytics widgets from the Core UI, which they replace in Platform Analytics.

Provides a role-specific, quick direct view of the Dashboards, Data Visualizations, Indicators, Filters, and Scheduled exports from the Platform Analytics library. Also provides a direct link to the Usage Insights page for the Platform Analytics library.

Apply breakdowns and elements to filter classic and Data snapshots-enabled indicators. The filter controls are in the KPI Details sidebar.

If a dashboard filter is on the same table as the breakdown of a process project, that filter can apply to a Process Mining map of that project.

Depending on your needs, you have four different ways to present a collection of data visualizations and filters.

Ask the AI specific questions in AI Data Explorer, to which it responds with data visualizations, a summary, and suggested follow-up questions.

ServiceNow Automation Discovery helps you identify automation opportunities for your workflows. From the Brazil release, Automation Discovery is deprecated and no longer supported. .

Bookmark a dashboard so that you can find it easily in the Dashboard Library.

Bookmark a visualization so that you can find it easily in the Data Visualizations library.

Optimize processes and increase productivity with the Platform Analytics applications. These applications include Performance Analytics, Usage Insights, and Process Mining. Present data through either the Core UI or the Platform Analytics experience.

The Chief Customer Operations Officer (CCO) dashboard provides the visibility into customer support and operations that helps leadership to fine-tune the operations for effectiveness. It provides a unified view of customer experience, service performance, and customer-impacting risk across the organization.

Use these data visualizations to get high-level and detailed views of how information is used in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard.

Organizing insights into these pillars enables Chief Customer Operations Officer (CCO) to improve customer experience, increase proactive service maturity, drive digital self-service adoption, strengthen service performance, and reduce customer risk.

Organizing insights into these five pillars promotes Chief Digital Officer (CDO) focus on delivering value quickly, improving productivity and optimizing risks.

The Chief Digital Officer (CDO) Dashboard provides visibility into the health and productivity of your company's digital properties. It gives a unified, real-time view of the digital product adoption, customer engagement, operational efficiency, and digital transformation maturity across the enterprise.

Use these data visualizations to get high-level and detailed views of how customer satisfaction, usage, and transformation are being addressed in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard

Certify a dashboard to indicate that it is company-approved and recommended for use.

Certify a data visualization to indicate that it is company-approved for reuse.

Organizing insights into these five pillars promotes CFO focus on delivering value quickly, improving productivity and optimizing risks.

The Chief Financial Officer (CFO) Dashboard provides a single pane glass view of end-to-end financial operations at an organizational or project level.

Use these data visualizations to get high-level and detailed views of how investments procurement, and auditing are addressed in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard.

Edit a question in an AI Data Explorer exploration and submit it to overwrite the original response.

Change the filter conditions for a table source or data visualization parameters for an indicator source. Then regenerate a response with updated visualizations.

If you are showing multiple metrics in a horizontal or vertical bar visualization, you can have filters on a dashboard apply only to specific metrics.

If you are showing multiple metrics in a time series data visualization, you can set the group by, visualization type, and Y-axis scale for each metric. You can also have filters on a dashboard apply only to specific metrics.

The KPI Details Chart options menu enables you to show, hide, or change aspects of an indicator visualization. Selected chart options persist per user for each indicator. Chart options are divided into analysis, time series, and chart type options.

The Chief Human Resources Officer (CHRO) Dashboard helps the People leadership to run its business, to deliver value quickly, and to improve productivity and optimize risks. The CHRO Dashboard delivers a unified, real-time view of workforce operations and people strategy.

Use these data visualizations to get high-level and detailed views of how information is used in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard.

Organizing insights into these five pillars promotes CHRO focus on both operational stability and long-term innovation.

The CIO Dashboard provides a decision-making framework with key decisions, critical questions, and the insights needed to stay on course and scale your business.

Use these data visualizations to get high-level and detailed views of how information is used in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard

Organizing insights into these five pillars promotes CIO focus on both operational stability and long-term innovation.

Organizing insights across these pillars empowers CISOs to proactively reduce risk, improve compliance, strengthen incident responses, accelerate vulnerability remediation, and maintain audit readiness.

The Chief Information Security Officer (CISO) dashboard provides real-time insights on organizational security posture across risk exposure, compliance health, security incidents, vulnerabilities, and audit performance.

Use these data visualizations to get high-level and detailed views of how information security is addressed in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard.

Depending on the data visualization, you can select different colors: a fixed color for each Group by element, a predefined color palette, a spectrum spanning high and low values, or a single color.

Every column in the data visualization library can be filtered. The options for filtering depend on the type of data in the column.

If column filters are activated, viewers of a List can filter the list by the contents of individual columns. Filter options depend on the column type.

See how to create, edit, share, and delete Platform Analytics dashboards, along with other common tasks. Most tasks are launched from the same menu.

See how to edit, share, duplicate, and delete Platform Analytics data visualizations, along with other common tasks. Most tasks are launched from the same menu.

Overlay several periods of an indicator on one time series visualization to compare the same point in each period.

If you have created a page in your workspace from the Dashboard page template, you can customize the on-click redirection from the dashboard component on that page. The inline dashboard that this component displays will follow the custom redirection.

You can change a dashboard name, add a description, certify it, configure visibility, and specify the requester, the owner, the owner group.

When you select an indicator data source for a horizontal or vertical bar visualization, the following Data configuration options are available.

When you select a table data source for a horizontal or vertical bar visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a horizontal or vertical bar visualization, the following Data configuration options are available.

When you select a table data source for a boxplot visualization, the following Data configuration options are available.

When you select a table data source for a bubble visualization, the following Data configuration options are available.

When you select an indicator data source for a dial visualization, the following Data configuration options are available.

When you select a table data source for a dial visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a dial visualization, the following Data configuration options are available.

When you select an indicator data source for a pie or donut visualization, the following Data configuration options are available.

When you select a table data source for a pie or donut visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a pie or donut visualization, the following Data configuration options are available.

When you select an indicator data source for a gauge visualization, the following Data configuration options are available.

When you select a table data source for a gauge visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a gauge visualization, the following Data configuration options are available.

When you select a table data source for a Geomap visualization, the following Data configuration options are available.

When you select an indicator data source for a heatmap visualization, the following Data configuration options are available.

When you select a table data source for a heatmap visualization, the following Data configuration options are available.

When you select an indicator data source for a Pareto bar visualization, the following Data configuration options are available.

When you select a table data source for a Pareto bar visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a Pareto bar visualization the following Data configuration options are available.

When you select an indicator data source for a pivot table visualization, the following Data configuration options are available.

When you select a table data source for a pivot table visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a pivot table visualization, the following Data configuration options are available.

When you select an indicator data source for a single score visualization, the following data configuration options are available.

When you select a table data source for a single score visualization, the following Data configuration options are available.

When you select a Usage Insights data source for a single score visualization, the following Data configuration options are available.

The following Data configuration options are available for all time series type visualizations of indicator scores.

The following data options are available for all time series type visualizations of MetricBase data.

The following Data configuration options are available for all time series type visualizations of table data.

The following Data configuration options are available for all time series type visualizations of Usage Insights data.

Enable URL filter parameters on your dashboard to support encoding of filter values in the dashboard URL..

You can set refresh interval details and background colors, enable data caching to speed page refreshes, and choose which Insights cards to show.

Dashboard content isn’t refreshed every time a user navigates between tabs. You can configure the number of minutes that dashboard tab content is cached before it's refreshed.

Activate the AI Data Explorer skills. If necessary, you can disable AI Data Explorer on specific workspaces.

Give users generative AI capabilities for creating data visualizations from the ServiceNow Otto panel by activating the data visualization generation skill.

Activate the Dashboard data broker preset and configure the data broker to potentially speed the loading of dashboards by prefetching some data.

Activate the Dashboard Summary skills.

Learn about advanced configuration options in depth. While most configuration options are discussed only in the context of creating a data visualization of a given type, these options are more complex and have characteristics shared across all visualization types.

The ServiceNow Otto context menu enables users to apply a variety of AI skills in the context of dashboards.

Change display properties for viewing a specific native Data snapshots indicator in KPI Details.

Data visualizations follow filters by default. A data visualization follows filters in the same dashboard tab as itself or above the tabs. Data visualizations either follow all such tabs that target their data sources, or none.

On a technical dashboard, configure a special client script-based event handler for a Filter component so it can be followed by any Lists or Data Visualizations. It is not necessary to configure an event handler for filters on inline dashboards.

If a time series visualization is configured to show forecasts, you can configure the forecasts for that visualization.

Select what happens when a viewer interacts with a section of a data visualization that you're editing.

Map the different states that are part of your process and the transitions between those states. See which states the objects of the process are in and the speed with which they change state.

You can set the start date of the current baseline calculation, the number of scores used to calculate the baseline, and the trend method. You also can deactivate or reactivate KPI Signals monitoring for a KPI.

As a responsible user, you receive email reminders about signals that have not been resolved. You can configure how frequently you get these reminders and the maximum number of reminders to get for a signal.

Configure signal detection and assign responsibility for multiple breakdowns and breakdown elements on one indicator.

Select a calendar and period by which to aggregate scores on the chart. You can also choose whether to include scores from incomplete periods.

Configure your dashboard and perform admin tasks. Most tasks are performed in either the dashboard details or the dashboard settings UI.

Activate KPI Signals for an indicator and set up signal detection and notifications. Assign responsibility for receiving and handling KPI Signals notifications for an indicator.

Activate the skills for generating and exporting Platform Analytics dashboards and data visualizations from conversations in the ServiceNow Otto panel.

Select the tables that are subject to Query Generation.

Organizing insights across these pillars enables procurement leaders to drive cost efficiency, improve operational throughput, strengthen supplier engagements, and maintain contract compliance across the enterprise.

The Chief Procurement Officer Dashboard provides a consolidated view of the enterprise procurement performance across spending, requisitions, sourcing operations, negotiations, and contract life cycle management.

Use these data visualizations to get high-level and detailed views of how information security is addressed in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard.

Create Access Control Lists (ACLs) in protected scopes to enable AI Data Explorer and Query Generation to access tables within those scopes.

The App Engine Studio includes a prebuilt workspace that you can add to an application. This workspace includes an Analytics Center page, along with the pages that the Analytics Center links to.

Create an Automation Discovery report to analyze your records for automation opportunities.

Let users filter on true/false fields and breakdown elements. For example, you can enable users to choose only the incidents where the Active field is set to true.

On upgraded instances, including ones fully migrated to Platform Analytics, you can create Core UI dashboards from the Platform Analytics Dashboards library. You can create shareable dashboards with data visualizations, filters, and other existing elements.

On upgraded instances, including ones fully migrated to Platform Analytics, you can create Core UI reports from the Platform Analytics Data visualizations library.

You can create a Platform Analytics vertical bar or pie data visualization from inside a Core UI list. If you have a data visualization role, you can save, share, export, or duplicate the visualization.

Let users select predefined periods or specify custom start and end dates for the data on a dashboard tab.

In the Platform Analytics experience, you can create shareable dashboards with data visualizations, filters, and other elements. You can create elements and add existing elements from the inline editor.

Create a domain filter so that you can filter data visualizations on domains in a domain-separated instance. Domain filters enable the user to see data associated with one or more domains.

Create a list of table records that can be drilled down to from chart interactions. List visualizations display table data in columns. By default, the columns match the default list view of the table.

Use bar visualizations to show information in segments that are proportional to the values they represent. Vertical bar and horizontal bar visualizations compare numeric values that represent either nominal or ordinal data.

Use a boxplot to show the median and lower and upper quartiles of numeric data along with outliers. You can also compare the distribution of different groups of this data.

Use bubble visualizations to show multiple separate metrics on a single visualization, to answer binary questions, such as whether two fields have a relationship, and to highlight patterns.

Create calendar report visualizations to show and highlight date-driven events.

Use a dial visualization to show where a value lies between expected minimum and maximum values. Use the dial visualization to show how a value compares to a target or benchmark, track progress, or to identify areas for improvement.

Use pie, donut, and semi-donut visualizations to compare the size of parts of a data set to the whole. The segments of these visualizations should total to 100%.

A gauge visualization shows where a value lies between expected minimum and maximum values. Use the gauge visualization to follow progress with color-coded value ranges.

A geomap visualization shows the geographical distribution of data for a world, country, region, or province/state. Use Geomaps to show table data that contains location information.

Use a heatmap visualization to show the relationship between two table fields or indicator breakdowns. The changes in color as you move along the axes reveal patterns in the value of one or both fields/breakdowns.

The Indicator Scorecard component enables users to visualize and compare data between multiple Performance Analytics indicators. It highlights the information regarding the last score collected, the change from the previous data point, the trend over time, and the value of the target to achieve.​

Use a Pareto bar visualization to Identify the most important dimension in a large set of dimensions. Pareto bar visualization columns show data in descending order. A line shows the cumulative percentage.

Create a pivot table visualization to summarize large data sets by breaking them down by multiple dimensions in a single table. Cells show each row and column value combination and can also show subtotals.

Use a single score to show a value as a number or percentage. Visualize how the value compares to a target or benchmark, to track progress, or to identify areas for improvement.

Show changes in data over time. Use different time series visualizations to emphasize different aspects of the data, such as trends or individual values.

Add a dynamic JavaScript statement for evaluation as part of a report visualization's filter criteria.

Create a set of filters that you can apply simultaneously. When you have multiple filters, applying them all together can be faster than applying them separately.

If a record hierarchy is defined for a table that is used as a filter source, you can create a single or multiple select filter that follows that hierarchy. The Manager hierarchy on User [sys_user] is the typical use case.

From the indicator library, you can launch a process to create different kinds of indicators from different sources

You can set target values for indicators that apply only to specific breakdown elements and time series aggregations. The target starts to apply at a selected date and continues to apply until you set the next target. You can set a date on which you expect to reach the target, and set a new target then.

You can create a list data visualization with variables or questions as columns based on a data source or table that has variables associated with it. For example, if an item has a variable called Storage, you can create a list that has a column for the values in this variable.

Approve automatically generated Restricted Caller Access (RCA) records to enable AI Data Explorer and Query Generation to fetch data from tables in protected scopes through API calls.

Let users filter a dashboard tab on one or more values from a set of choices, such as incident priority. You can have a single or multiple select filter follow another filter in a cascade.

Follow the Technical Editor option to create a dashboard using UI Builder. In UI Builder, you can use a wider range of features than the inline editor, including scripting and data binding.

See how to create data visualizations using different data sources.

Organizing insights into these five pillars promotes CRO focus on delivering value quickly, improving productivity and optimizing risks.

The Chief Risk Officer (CRO) uses this dashboard to get a single pane glass view of end-to-end Governance, Risk, and Compliance.

Use these data visualizations to get high-level and detailed views of how information security is addressed in your organization.

Indicators provide the data used in most of the dashboard’s visualizations. The indicators are used across the dashboard.

Two roles are associated with this dashboard.

Create custom column descriptions and usage instructions in the Semantic Column Configuration table so that customizations can be transferred between instances via update sets.

Create custom entity descriptions in the Semantic Table Configuration table so that customizations can be transferred between instances via update sets.

Semantic metadata — descriptions, labels, and usage instructions — control how Query Generation interprets natural language questions. Customize these metadata to improve accuracy for your organization's terminology and data.

Select event handlers to configure the actions (events) provided with the dashboard component.

Disable and enable dashboard component runtime user abilities with these properties.

Elements refer to the visual objects you can place on a dashboard, including filters.

Analytics managers can view information about potentially problematic dashboards.

Reference topics provide a list of roles and translatable fields for Platform Analytics dashboards.

The Dashboard Summary is your AI companion for instant insight into Platform Analytics dashboard and workspace content. Use the summary to help you understand your data and uncover meaningful patters for decision making. The Dashboard Summary is available with any Now Assist application.

Dashboard summarization skills are enabled by default when the Dashboard Summary plugin is installed. Configure ServiceNow Otto access to these skills under ServiceNow Otto skills for Data and Analytics to give users AI-assisted dashboard context.

The Delegate URL params property enables UIB pages containing dashboard components to control how URL parameter updates are handled. Doing so enables custom navigation logic for embedded or workspace scenarios.

Use Platform Analytics dashboards to access, organize, and share data in a visual format. Dashboards contain data visualizations, filters, and other visual elements.

Dashboards in Platform Analytics and the classic environment use terms that describe how data is organized, displayed, and shared.

Data caching can help data visualizations load faster by reusing older responses when available. Users can always get the latest data by refreshing the dashboard manually.

Most dashboard content is migrated to the new Platform Analytics experience. However, some visualizations, aspects of visualizations, filters, and configurations can't be migrated. Dashboards with this content are migrated as embedded content (iframes), also known as compatibility mode.

After data migration, your artifacts such as dashboards, visualizations, and filters, reside in different tables in your instance.

Before you perform full migration, you can flag artifacts to be excluded from the migration process.

Hide the banner on individual dashboards that enables owners to migrate dashboards that they own.

When you have completed the migration process, review the results.

A set of logs is stored for each dashboard, report, filter, and dashboard element (widget) in the bridging tables.

Migrate dashboards that you own, including reports, interactive filters, and Performance Analytics widgets to Platform Analytics experience.

Migrate a selection of your Core UI interactive filters to Platform Analytics.

Migrate a selection of your Performance Analytics widgets Platform Analytics indicator visualizations.

Migrate a selection of your Core UI reports to Platform Analytics experience.

Migrate a selection of your existing dashboards, reports, interactive filters, and Performance Analytics widgets to Platform Analytics experience. Migration works the same whether you choose to migrate some or all of your content. However, you can move some of your content to evaluate the process or when you have many dashboards and want to migrate in segments.

Migrate a selection of your existing dashboards, reports, interactive filters, and Performance Analytics widgets to Platform Analytics. Migration works the same whether you choose to migrate some or all of your content. However, you can move some of your content to evaluate the process or when you have a large number of dashboards and want to migrate in segments.

Migrate your existing dashboards, reports, interactive filters, and Performance Analytics widgets to the Platform Analytics experience.

Relaunch migration when Core UI content is changed after full data migration and when earlier unsupported functionality becomes supported in the Platform Analytics experience.

Migrate a selection of scheduled reports to the Platform Analytics experience Scheduled export.

Migrated responsive dashboards automatically redirect to the Platform Analytics experience library. However, you can set a system property to specify redirection for admins.

When you migrate your Core UI data, your existing dashboards, reports, interactive filters, and Performance Analytics widgets are moved to Platform Analytics. When you activate the migration, the result is a single set of visualizations and unified filters for all data sources.

Each workspace data visualization references a specific data source.

The Details pane gives you an overview of key information about the data visualization that you are currently editing.

Several properties that limit what can be displayed in data visualizations.

Reference topics provide information on roles, variables, and other information for working with data visualizations.

When you create a data visualization, you select the type of visualization to display. Each visualization type is suited to show different data.

Analytics managers can view information about potentially problematic data visualizations.

Database views combine fields from multiple tables into a single queryable entity. Add views to the semantic layer to answer cross-table questions in one query instead of requiring separate questions.

Dashboard categories enable searching and filtering dashboards using general terms assigned to multiple dashboards.

Authorized users can delete an exploration in several ways.

Using the Workflow Studio, you can add actions to the dashboard deletion process. Actions may include sending an email to the dashboard's users or generating an approval request.

You can delete a dashboard that is no longer useful. The Analytics Overview invokes the Workflow Studio to remove the dashboard from your instance.

You can delete a data visualization that is no longer useful.

When the unified analytics property is enabled, Core UI dashboards and dashboards in Platform Analytics can coexist in your instance. Use this reference to distinguish between them.

If you don't want data visualizations in a specific workspace to have an entry point for AI Data Explorer, add the workspace to the PAAI Canvas Workspace Configs table.

KPI Signals can be disabled on request.

Each time series visualization type has a different set of display settings.

Domain separation is supported for data visualizations and relates to the data visualizations themselves and which data is visible. 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.

If any conkeyrefs are broken, re-add them from the doc/source/reuse/domain-separation/domain-separation-overview.dita file.In the short description, edit the first sentence to state whether domain separation is supported or not and add the application name. Keep the conkeyref at the end that describes domain separation.Domain separation is supported for AI Data Explorer. 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.

Domain separation is supported throughout Platform 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.

Duplicate a dashboard created in the in-line editor so that you can share a modified version with different users.

Duplicate a visualization so that you can use aspects of the source in a copy of the visualization.

Duplicate a visualization so that you can use aspects of the source in a copy of the visualization while on the dashboard it sits on.

You can set what occurs when a user interacts with a visualization, such as by selecting a bar column. Possibilities include navigating to a URL, opening another data visualization, and filtering all visualizations on the dashboard by the selected value.

Bar visualizations enable you to show the comparative size or frequency of different categories or groups, for example, sales in different regions or over different periods of time.

The bubble data visualization is used to do compare fields and see their relationships.