2023
May 16
2 min
advanced validation advanced validation allows users to to quickly discern if the data they are extracting makes sense and can be immediately pushed downstream users can pre define business logic based on the extracted data elements within a pattern, the result being the ability to raise an alert if specific conditions have not been met some examples of advanced validation definitions include confirming that line items sum up to a reported total value, to ensure all information on a statement was correctly captured and avoid needing to spot check hundreds of rows of data calculating percentages and compare values to see if they match, to ensure that none of your inputs are flawed ensuring a value is in the right range, or greater than or less than a certain amount, to detect anomalous values instantly making sure a date, i e on an invoice, is not prior to a billing date, or confirm that a date range on a document is correct, to prevent bad payments from being issued new features document viewer now includes a review tab with a pattern summary and schemas to indicate which patterns and schemas have at least one failed validator users can easily view any other patterns not in view in document viewer by selecting the view button next to the pattern of interest users are able to filter a subschema for all records, ready records, and records with exceptions users that click to view exceptions within a subschema will access a subschema drawer with the records with exceptions filter already selected validator statuses will refresh automatically as exceptions are handled by the user
