Form Design: Quick Tip to Make Your Forms Smarter

Form design is essential to the success of recognition technology. Forms should be well designed to reduce illegible, inaccurate, misinterpreted or missing data, and to improve data recognition. It’s not always the case that you will be able to control the forms that you need to handle, but even if you can’t, often you can […]

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3 Tips for Getting Project Buy-In

What’s the secret to getting project buy-in when you don’t have specific budget or authority? We’ve all heard it a million times. If you want to get something done inside an organization, and you don’t have budget or authority, you need a sponsor. That’s easy to say for a management professor. But in the trenches […]

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Understanding Recognition: Reject Mechanism

Let’s explore the mathematical model for optimizing the tradeoff between errors and rejects. The reject mechanism helps to guarantee the specified error level required by an application. Recognition engines usually return an answer accompanied by a value parameter called confidence value. The confidence value ranges from 0 to 100 and indicates how confident the engine is that […]

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Understanding Recognition: Errors and Rejects

There are 3 possible outcomes when recognition engines attempt to read any data: the correct answer, error, or reject. This post will focus on understanding errors and rejects and how to find the right balance between them. Errors refer to the instances when a recognition engine gives an incorrect result. The problem with errors is […]

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Big Decision Coming Up? A Process for Making Better Choices

By Don Dew, Director of Marketing Do you have a big decision coming up? Whether buying a car, looking for a job, or evaluating capture software, one thing is for certain. As a human, your likelihood of making the best decision is, frankly, flawed out of the gate. The good news is, with a little […]

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Vocabularies and ICR – Why You May Not Be Getting The Results You Expect

The goal of every recognition engine is to produce the highest accuracy possible which is probably pretty obvious (who uses technology to get poor results?). But did you know that the type and quality of images being recognized can and often produces significantly different results, depending upon which recognition technology is used? For example, in […]

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Advanced Capture for Managing Data Exceptions

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 don’t take advantage of data recognition and extraction capabilities, even for the […]

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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 […]

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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 […]

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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 […]

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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 […]

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