The tool relies on a standard set of invoice information that you upload into an Excel spreadsheet from an ERP or accounting system. The information is then uploaded into a SQL database, where it is analyzed by the program and returns a report back into an Excel workbook. The SQL database that Dat add-in uses is a localDB version of SQL Server Express having around 5 times the capacity of an MS Access database. Among other advantages, the localDB version does not require any configuration or administration.by the user.
The Dat report output displays a list of potential duplicate invoice items that will require further investigation. The analysis process involves the user investigating the items before a confirmation can be made. For reporting purposes, the tool provides a standard list of comments in the form of a drop list that can be assigned once the status of the item being investigated has been confirmed. A history of the analysis is stored by uploading the comments made. Maintaining a comment history prevents rework, on items that are still open when the report is regenerated. Commenting also helps to identify the cause and frequency as well as to provide information on the performance of the tool.