After running the validation check, Max now has results ready for review. He will use the View Balance Validation Results application to access the validation results.
The list will display the data, indicating if it has passed or failed the validation rules, and show the root causes for any failures. If corrections are made to the data from a failed validation, a revalidation can be run to analyze the new data. In addition, new validations can be run from this view. Running a New Validation will be the same as described in Execute an Individual Validation Run lesson.

On the initial Validation Results display, you’ll see that all Validation Groups that have been executed. Basic data such as Entity, Ledger, Currency (Type), and Fiscal Year Period can also be seen. It will also display the validation result, the log, and the ratio of failed vs total rules that are in the group.
You can filter the results to specific groups that you are interested in using the filter section at the top of the screen.
The overall result statuses can be:
- Success – the data passed all validation rules in the group or only failed those rules with control level set as Information. Remember that the control level determines a rule fails to pass is acceptable in the validation result. The control level can be set as Error, Warning, or Information
- Success with Warnings – the data passed all rules with control level Error but failed at least one rule with the Warning level
- Failed – the data failed at least one rule that has control level Error
- Technical Error – the validation ran into a technical issue and couldn’t be completed. Check the log for further information
The result also comes with the failed vs total ratio, result percentage and a stacked bar chart which provides insights into the numbers of rule-specific results. For Basic Rules, the results of the lowest group-by fields are counted. For Compound Rules, only the final rule-level results are counted.
In summary, this is a process that will highlight validation rule adherence, flagging any fails and providing a visual representation of the success rate via a stacked bar chart. Let’s see what the process of viewing validation run results may look like in a real scenario.