question Reporting : variables are not visible while creating report in Platform Analytics forum

Reporting : variables are not visible while creating report

pramn — Thu, 09 Jul 2026 09:49:47 GMT

Hi Team ,

what could be the reason variables are not visible while creating report?

Thanks for your help

Re: Reporting : variables are not visible while creating report

Dr Atul G- LNG — Thu, 09 Jul 2026 09:52:19 GMT

https://www.servicenow.com/docs/r/now-intelligence/reporting/rep-service-catalog-variables.html

https://www.servicenow.com/docs/r/now-intelligence/reporting/use-service-catalog-variables-in-report.html

List, Box, Trendbox, and Pivot reports cannot use service catalog variables as a primary or secondary Group by. Single Score, Calendar, Control, and Map reports do not support Group by on any fields. List reports can use service catalog variables as columns.

Use a variable as an extra Group by, as a column in a list report, or as a column or row in a multilevel pivot table.

Re: Reporting : variables are not visible while creating report

Tanushree Maiti — Thu, 09 Jul 2026 10:53:18 GMT

Hi @pramn

Users may lack the necessary permissions to view the underlying variable tables like sc_item_option and sc_item_option_mtom. It kind of limitation of Data Model/Data structure.

So to create report with RITM variables, you can follow -

Option A:

You can create a report that with variable columns and then export that report to CSV or Excel.

Navigate to Reports > Create New.
Data Source: Select sc_req_item (Requested Items) table.
Filter Conditions: Set Cat Item | is | [Name of Catalog Item A].
Configure -> Choose Columns:

In the slushbucket, scroll down until you see Variables (marked with +).
Click Variables. A popup will appear asking for the Catalog Item. Select Catalog Item A.
Select the variables you want and move them to the right.

Save and Run the report.
Click the share/export icon and select Export > CSV or Excel

Option B:

If you need to do this frequently, creating a Database View is the most robust approach to join RITM data with Variable data