---
sourceDocument: Australia ServiceNow AI Platform Capabilities
sourceDocumentLink: https://www.servicenow.com/docs/r/servicenow-platform

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia ServiceNow AI Platform Capabilities

ft:clusterId :

    - platcap

bundleId :

    - platcap

workflow :

    - Platform


---

# Configure scheduled jobs

# Configuring scheduled jobs for SGC Central {#ariaid-title1}

* Release version: Australia
* 
* Updated March 12, 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

You can configure scheduled jobs to automate data collection for tracking integration performance, errors, and processing status of Service Graph Connectors within the SGC Central application.

Scheduled jobs ensure that integration performance data is consistently gathered and available for reporting and analysis within SGC Central. For more information on configuring a scheduled job, see [Scheduled jobs](https://www.servicenow.com/docs/access?context=c_ScheduledJobs&version=australia&pubname=australia-platform-administration&ft:locale=en-US).

## Types of scheduled jobs in SGC Central {#sgcc-config-scheduled-jobs__section_y3t_1nf_32c}

SGC Central provides different scheduled jobs to meet various data collection needs:

SGC central collection
:   Collects score and metric data displayed on the SGC Central dashboard for the latest integration activity. This job runs daily automatically or as configured.  
    Note:  
    As a user with the admin role, you must run this scheduled job immediately after installing SGC Central and update its schedule based on your preferences to reflect the latest integration activity.

SGC central collection onDemand with lookback
:   Enables on-demand collection of historical integration data for analysis. The job collects scores for a lookback period of 30 days, meaning it gathers data from 30 days ago to today (0 days ago), enabling historical data collection
    for performance analysis.  
    Note:  
    As a user with the admin role, you can run this scheduled job on demand, rather than on a daily schedule.