Configbot DF - Impact Analysis Roles - Roles Authorization Difference

Impact Analysis Roles - Roles Authorization Difference

The following article explains how to generate Impact Analysis Roles for different roles and their authorization permissions using ConfigBot.

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

2.     Navigate towards the "Home screen" and click on the "Impact Analysis" module tile under Impact Analysis.

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

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

5.     The workbook will appear in a new tab on your browser. Navigate to the worksheet tab labeled Role Authorization Difference, here you can see empty sheet now we will generate analysis for Role Authorizations to see the similar and different permissions among roles in different instances.

6. 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 ‘Roles Authorization Difference’ option and select the source iteration from which the data will be fetched. You can then select up to two target/destination iterations, which will be analyzed and compared against the source iteration.. Once the selections are complete, click the ‘Confirm and Start’ button to initiate the analysis process.

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

8. Once the execution is completed, open the workbook and navigate to the relevant sheet. Review the highlighted data: red highlights with "Yes" indicate that the authorization permissions differ between the source and destinations, while green highlights with "No" indicate that the permissions are consistent across both.

In conclusion, ConfigBot’s analysis functionality provides clear visibility into data similarities and differences between source and destination iterations. Where we can analyze that which Roles have similar and different authorization permissions across iterations from different instances. By generating and reviewing this analysis, users can clearly identify similarities and differences in data between source and destination iterations before implementation. This structured approach enables better validation of permission alignment, helps minimize risks associated with inconsistencies, and supports more informed, data-driven decision-making.

Updated on: 07/01/2026