Data Standards

What if the OCR misses a field or value?

What if the OCR misses a field or value?

You have a software package that relies on optical character recognition (OCR) to classify, pick up words, numbers or phrases from a document.  As long as the quality of the document is mostly clean, everything works well.  However, what happens when the document arrives and the quality is simply, not good?  Does the software give up and run away with its tail between its legs? Are there any options to classify or capture anything on these documents?  

Saving Time, Money and Preventing Identity Theft – Part 3

Saving Time, Money and Preventing Identity Theft – Part 3

The ultimate goal of your data entry process is to create an organized set of data, in a specified format, which can be easily accessed and utilized.  The success of your organization in achieving this goal depends on the quality of your data entry process.  Here is a list of Top 10 Best Practices that--if followed--can deliver an accuracy rate of 99% or higher from Invensis.net.