Straight Through Processing - Document Automation Evaluating Possibilities with Data Extraction When it comes to data extraction, it all comes down to the variance of the data from two major standpoints: data type and data location. Data types can mean differences within the date format such as American vs. common European formats. Or, it may mean variance between typed and handwritten data. Data location typically speaks to whether the document in question is structured (such as a form), semi-structured (such as an invoice or remittance),orunstructured (such as an agreement or contract). Even structured forms can have variance in data location due to differences in how the document was scanned. If it started as paper, a host of image quality problems can present themselves. Or, the way that the information was manually entered can have an impact. We have all seen examples of forms where the person wrote data well outside of the box. Just as with document classification, the ability to realize high STP rates is heavily dependent upon the variance with the higher variance documents providing less reliable results than their low variance counterparts. As a rule, structured forms can start with 80% or more STP rising to 95% or more while unstructured documents might only start with 40%-50% STP. 26