Articles on: Workday

ConfigBot WD - Impact Analysis Security (Domain Security Matched)

Impact Analysis Security - Domain Security Matched


The following article explains how to generate Impact Analysis Security for Domain Security Matched in Workday using ConfigBot.


  1. Enter your Username and Password and click on the submit button to login. 


  1. Navigate towards the "Home screen" and click on the " Impact Analysis" and then Click on Impact Analysis Security Module.


  1. Select the workspace that best suits your preferences or requirements.


  1. Navigate to the generated workbook (in my case, Iteration #1) and open the workbook.


  1. Within the workbook, you can navigate to "Domain Security Matched" Sheet and verify that it is empty.


  1. To generate the analysis, navigate back to your workspace, open the hamburger menu, and select the ‘Generate Analysis’ option. In the Generate Analysis window, choose the ‘Domain Security Matched’ option and select the Source iteration from which data would be fetch. Once the selections are complete, click the ‘Confirm and Start’ button to initiate the analysis process.



  1. You can track the progress of iteration by clicking on Information Icon (i). 


  1. Once the execution is completed, open the workbook and navigate to the relevant sheet. Review the data by the numbers generated with percentages which indiacates the similarities and differences, like "100" indicates the 2 security groups having same domain security permission and "0" indicates no similarities in domain security permissions.





In conclusion, ConfigBot’s analysis functionality provides clear visibility into data similarities and differences within source iterations, enabling users to evaluate how security groups align in terms of domain permissions. By using numerical indicators and percentage-based insights, where values such as “100” represent complete similarity in domain permissions between security groups, and “0” indicate no similarity. By generating and reviewing this analysis, users can effectively identify patterns of similarity and variation prior to implementation. This structured approach enhances the validation of permission alignment, reduces the risk of inconsistencies, and supports more informed, data-driven decision-making.

Updated on: 07/08/2026

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