This eBook explores the many different ways to manage document processing, the costs and the benefits of different solutions depending on the enterprise needs. These approaches range from manual document handling, basic OCR to the most advanced, self-learning zero configuration solution.
Service providers that want to control their own processes and the costs associated with manual labor often look to technology. Today, these myriad of technology approaches can leverage existing tool sets that are integral to current workflows so that there is minimal disruption to operations with optimal results.
Manual Document Processing
The most obvious and traditional method is to perform manual processes such as sorting documents and data entry. Manual processing is the simplest approach as the effort—apart from assigning staff—tends to involve simply training the staff on what is required. This is the typical approach for small businesses where document volumes do not merit investment in technology or for large enterprises where either abundant staff are available or where investment in technology is viewed as premature.
Document Automation Software
Data location and extraction capabilities are often more advanced in document automation software than what is available using OCR software and/or custom software that is typically limited to X/Y coordinate based location or simple keyword searching.
Modern document automation software often includes specialized capabilities to locate data by more advanced techniques such as “region of interest” location or use of pattern recognition.
In the past few years, more solutions have adopted machine learning functions to automate configuration of the data extraction function meaning that service providers can onboard new clients in a much shorter amount of time.