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?
Protecting sensitive information through redaction is gaining priority across all organizations. With regulations tightening and the growing need to publish reports online, there is more data requiring redaction. Search engines can even find information that is hidden from our eyes, requiring more attention to redacting private data. Manually identifying this sensitive information is a huge undertaking. This time-consuming task is costly with a margin of error too large for comfort.
As our workload continues to build and technology continues to advance, it may be time to analyze your current procedures to see if an advanced OCR solution is right for you. Applying such a solution can save valuable work hours, improve turnaround times, increase transcription accuracy and yield an exceptional ROI all while streamlining your workflow. Here are four signs that you should look into an advanced OCR software solution.
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.
In my previous blog I talked about managing your workload, and one of the keys pieces to being able to do so is to prioritize what the most important projects are. But how are you supposed to prioritize projects when everything is a top priority? While working at a software company, I quickly realized that no matter how well organized the preparation – you always encounter surprises along the way requiring changes, and re-prioritization of tasks.
I searched for some tips on workload management and came across an article from Entrepreneur Magazine 6 Steps to Managing Your Overwhelming Workload. I found this article to be very valuable in managing my personal workload and I wanted to share my findings with you.
Abstraction is the process of reviewing data sets or documents for information that will be needed in the future for decision making. The crux of the problem is having domain knowledge that allows one to accurately and swiftly sift the important from the unimportant. When done well, the result of data abstraction is the compression of a large amount of information to its essence without loss of meaning or usefulness. Abstraction is used to manage complexity so important decisions can be made quickly and with confidence.
As I travel around the country talking to elected officials and government employees one of the most common talking points is the challenge with managing their data. Many of them still do a lot of manual data entry while others struggle with getting accurate indexing data from submissions using electronic recording/filing. This often leads to...
In working with government offices, we have found one of the biggest pain points is the inability to find the time to manually enter or transcribe information through data entry. This is an enormous issue, considering if this information isn’t imported in accurate fashion, private information could be missed, leaving a breach of confidential data.