There are three primary areas businesses should examine when approaching a document capture project. Without having a solid grounding, business can face significant pain regarding their ability to effectively collect data and ensure its quality, all without significantly increasing exception handling. Many companies dont take advantage of data recognition and extraction capabilities, even for the […]
Eliminating Common Errors in Forms Processing for Healthcare
More and more hospitals and insurers are looking to move medical records, claims and enrollment applications online. However, due to doctors and patients limited access to computers and the ease of applying pen to paper, healthcare organizations are still very reliant on paper forms. The many steps involved in processing healthcare documents, from completing information […]
How Context and Business Rules Can Help Get the Most from Your Data
Considering all of the ways that businesses rely on data, the benefits of increasing the accuracy of information and processing it more quickly can be huge. From improving internal and external transactions to enhancing customer service; increasing collections and saving time, money and the hassle of researching incorrect data, most organizations stand to gain both […]
Data quality: Transactional data validation – Part 2
Here’s a short recap of Part 1 (or you can read it here): businesses are doing all sorts of scanning of documents, performing sophisticated data extraction and are actively trying to manage data quality, mostly at a page-level where users view entire documents to review extracted data fields and either verify the data or correct […]
Data quality: The approach is important – Part 1
A lot of attention is placed in the document capture industry around document classification, field recognition, and full-text recognition. But little attention is given to the real mission of capture solutions providing high-quality data to businesses. Key to this mission is the data quality assurance process. There is no such thing as a fully […]
7 Reasons your Document May not be Suited for Unstructured OCR/ICR
Structured and semi-structured document analysis with ICR engines is complex enough; enter in an unstructured requirement with a data extraction workflow and you have a major challenge. When considering an unstructured approach, an analyst needs to determine if the project is a good candidate. The following 7 document characteristics present clues as to why your […]