insights
2021.10
false
  • Release Notes
      • 2021.10.9
      • 2021.10.8
      • 2021.10.7
      • 2021.10.6
      • 2021.10.5
      • 2021.10.4
      • 2021.10.3
      • 2021.10.2
      • 2021.10.1
    • User Migration Tool Release Notes
  • Getting Started
    • Installing Automation Suite
    • Insights Configuration Checklist
    • About Insights
    • Insights Data Model
  • Access and Permissions
  • Interacting with Insights
  • Troubleshooting
Insights
Automation CloudAutomation Cloud Public SectorAutomation SuiteStandalone
Last updated Aug 2, 2023

Insights Data Model

This page details the Jobs,Queues, and Robot Logs data that Insights ingests. For information around the Manual Values explores, see Templates.

The data is surfaced via Explores, which you can think of as a general entity that corresponds to the fields within it. For example, to build dashboards around Orchestrator jobs, pick the Jobs Explore. Each Explore surfaces views that contain the respective data. You can access related data from within Explores, i.e. Robot Logs are accessible from the Jobs Explore, etc.

Two terms, dimension and measure, are often used in the Insights data model tables. See their definitions below:

Dimension
Dimensions are the fields on a table, the attributes of your data. For example, the Country dimension indicates the country (France, Germany). You can aggregate these attributes and use measures for them. For more information on dimensions, check the official Looker documentation.
Measure
A measure is the calculation that is done on a dimension, on a field of table. This is a numerical attribute of your data, such as sum, average, min, or max. For more information on measure, check the official Looker documentation.

Jobs

Dimensions

Description

Process Version

The version number of the process the job belongs to.

Robot Name

The name of the Robot that executed the job.

Robot Type

The type of robot that executed the job. The available options are:

  • Attended
  • Unattended

Host Machine Name

The name of the machine where the robot executed the job.

Job Id

The row ID of the job event in the Orchestrator database

Job State

The status of the job. See Job States for all available states and their descriptions.

Note: Insights only ingests terminal states (i.e. successful, stopped, and faulted).

User Name

The name of the Orchestrator user that ran the job.

User Type

The type of user type that executed the job. The available options are:

  • RPA Developer
  • RPA Developer Pro
  • Citizen Developer
  • Attended User

Creation Time

The time when the job was created.

Start Time

The time when execution of the job began.

End Time

The time when execution of the job finished.

Job Source

The triggering event for job execution. The available options are:

  • Manual
  • Schedule
  • Other

Environment Name

The Environments where the job was executed.

Process Name

The name of the process.

Process Display Name

The display name of the process as entered in Orchestrator.

Job Duration in Seconds

The duration, in seconds, of the job execution. Computed as the difference between StartTime and EndTime.

Folder

Folder where the job is defined.

Measures

Description

Faulted Jobs

The number of jobs with the Faulted status.

Faulted Rate

The % of jobs with the Faulted status compared to the total number of jobs.

Processes Ran

The number of processes that have reached a final status of Successful, Faulted, or Stopped.

Success Rate

The % of jobs with the Successful status compared to the total number of jobs.

Successful Jobs

The number of jobs with the Successful status.

Time in Pending in Seconds

The amount of time all jobs spent in the Pending and Resumed states, meaning how long it took from the moment the job was queued until it actually ran on the robot (see Job States).

Total Suspended Time in Seconds

The time of jobs, in seconds, spent in a suspended state in seconds (see Job States). You can use this measure to calculate the total time spent on a particular process by subtracting the time spent in a suspended state, in long-running workflows.

Total Run Time in Seconds

The total processing time of all jobs in seconds.

Queues

Dimensions

Description

Priority

The priority of the queue item defined when setting its properties from Studio.

Queue Item Id

The auto-incremented row ID of the queue item in the Orchestrator database.

Queue Name

The name of the queue.

Processing Status

The status of the queue item. The available options are:

  • Successful
  • Failed
  • Abandoned

Review Status

The review status of the queue item.

Robot Name

The name of the robot that processed the queue item.

Robot Type

The type of robot that executed the job. The available options are:

  • Attended
  • Unattended
  • NonProduction
  • Testing
  • Other

Creation Date

The time the queue item was created.

Start Processing Date

The time the robot began processing the queue item.

End Processing Date

The time the robot finished processing the queue item.

Transaction Duration in Seconds

The processing time, in seconds, of the queue item. Computed as the difference between Start Processing Date and End Processing Date.

Seconds In Previous Attempts

The time, in seconds, of all attempts to process the transaction.

Retry Number

The number of times the processing of the transaction has been attempted. For the first attempt, 0 is displayed.

Defer Date

The earliest date and time the queue item is available for processing. If empty, it can be processed immediately.

Due Date

The latest date and time which the queue item must be processed by. If empty, it can be processed at any time.

Progress

Custom progress information for queue items with status InProgress.

Specific Data

A collection of key value pairs containing custom data associated with the transaction. See here for details.

Analytics Data

A collection of key value pairs containing custom data for analytics purposes associated with the transaction. See here for details.

Output

A collection of key value pairs containing custom data upon successful processing associated with the transaction. See here for details.

Processing Exception Type

The type of the exception thrown when processing fails. The available exception types are:

  • ApplicationException
  • BusinessException

Processing Exeption Reason

The details of the exception thrown when processing fails.

Reference

The user-specified value for identification purposes provided when adding the queue item in Studio.

Reviewer User Name

The user name of the assigned reviewer, if any.

Queue Id

The numerical identifier of the queue, comprised of QueueName, OrganizationUnitId.

Folder

Folder where the queue is defined.

Measures

Description

Avg Queue Wait Time in Seconds

How long it takes, on average, between when all queue items were created and when a robot started processing them.

First Pass Yield % Per Queue

The percentage of time that the queue item was successful on its first try at processing (retry number =0).

Queue Count

The number of queues with data processed on this tenant.

Queue Item Count

The number of queue items processed on this tenant.

Robot Logs

Data

Description

Id

The auto-incremented row ID of the log in the Orchestrator database.

Timestamp Date

The time the logging was executed.

Machine Id

The Id of the machine that generated the log message.

Machine Name

The Machine Name.

Process Name

The name of the process that generated the log message.

Process Version

The version number of the process the job belongs to.

Windows Identity

The user under which the robot generating the log message was logged in.

Robot Name

The name of the robot that generated the log message.

Raw Message

Deprecated and no longer supported after the 2023.4 release

JSON output from the execution log.

Transaction Id

The key of the associated queue item.

Transaction State

The state of the transaction.

Transaction Status

The status of the transaction.

Message

The logged message.

Level

The severity level at which the message was logged. See Logging Levels for details.

Log Type

Generated according to the process designed by the user in Studio, when using the Log Message activity or the Write Line activity.

These logs have a value of User.

Queue Name

The name of the queue.

File Name

The name of the file that created the automation.

  • Jobs
  • Queues
  • Robot Logs

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