DATA SCIENCE INTELLIGENT CAPTURE Precision isthe Key toSuccess Inmanyrespects,intelligent capturesoftwareresemblesadataanalytics platform. Both aremeasuredonthequalityoftheirresults. Bothrequire significantattentiontosample data. Both require specialists who understand how to configure and measure the system. However, unlike data analytics, many organizations have approached configuration of an intelligent capturesystemusingafewsampledocuments withonlyminimalanalysisof the output. The reality is that those organizations endup with almost zero automationdue to the lack of reliability of the output. This is because using a few samples only allows a functional configuration— one that employs rules, but that has not been analyzed and optimized. The result is that these organizations essentially review 100% of the data. Here we seea system that runs OCR on everything, but the output is so unreliable that all data is manuallyverifiedbeforeitgetsoutput.Eventhough100%review is required,it still ends up with some level of error due to problems with manual verification. Humans aren’t perfect, even when reviewing OCR output.