Have you ever noticed how forms and paperwork from doctor’s offices are always clear and easy to read, colorful and distinctive, making it simple to see information at a glance? No? Neither have I. Medical paperwork frequently looks like a copy of a copy of a copy of a badly printed telephone book, belying the critical importance of communications in healthcare.
- by BJ Johnson
HR transformation is the term applied to the reimagining of the human resources department so HR professionals can contribute new insights and value to their organizations. Digitizing processes to reduce administrivia is a critical milestone in the HR transformation journey. (What is administrivia?) In conversations with HR leaders across many business types, it is clear most have made progress digitally transforming processes, yet paper continues to be a problem. Employee document management, unemployment claims and garnishments are three areas where paper continues to be an obstacle in HR transformation. HR departments are not increasing their headcounts, so efficiency gains through digitizing processes are required to minimize time spent on administrative functions. In addition, staying compliant with ever-changing regulations and maintaining the security of employee information is difficult to achieve when paper is prevalent. Here are three ways to accelerate your digital transformation:
A few months ago, I attended Hyland’s user conference, CommunityLIVE 2017. While I was there, I got some face time with Ed McQuiston, senior vice president of global sales and marketing at Hyland, and Hyland’s Executive Vice President and Chief Commercial Officer Brenda Kirk.
In early October, I was in Carlsbad, California, for Konica Minolta’s FutuREady Dealer Conference. Over two days, 650 attendees from Konica Minolta dealerships were treated to presentations, panel discussions and live demos of Konica Minolta’s latest technology and solutions.
- by Gary Allen
This is the fourth and final article in my series focusing on intelligent data capture. The concept of the series is that effectively managing document processing activities is critical to business success. It can help raise employee productivity, reduce the cost and cycle time associated with processing documents such as invoices, strengthen security and enhance customer service. Intelligent data capture is an approach that can help you streamline document processing and realize these and other goals.
- by Scott Brandt
Digitalization has certainly impacted the velocity and comprehensiveness of many organizational workflows, from receipt processing, to onboarding personnel, to product design changes. Taking paper out of the process simply increases the speed at which data and information is conveyed, reviewed, and acted on. In general, this has been viewed favorably by managers, providers, and consumers. For example, we no longer wait for invoices to be delivered and scanned before accounts payable can process the transaction. Like anything new in life, however, there are downsides. We are seeing three new impediments in decision-making due to digitalization.
In October, ABBYY hosted their fifth annual Technology Summit in San Diego. It was an excellent event on digital transformation strategies and ABBYY’s latest technology was laid out. But I got pleasantly distracted by one of the keynotes. During his presentation, Capitalizing on Robotics: Driving Savings with Digital Labor, Mike Gough, senior analyst of KPMG’s Value Architecture Group, explained the different classes of digital labor, which he also referred to as intelligent automation, and how they can help businesses save money.
When I first read about the “growth mindset” coined by Dr. Carol Dweck, Virginia Eaton Professor of Psychology at Stanford University, I felt like I was reading about business leaders and technology, not schoolchildren and young adults.
Optical character recognition (OCR) hardly gets the credit it deserves. Without it, we’d be stuck in the Dark Ages retyping entire pages to make an edit or convert a file — which would inevitably lead to more mistakes. Collaborating on documents would be a nightmare, and finding information would be a frustrating and painstaking task. And all of those automated document processes and big data and analytics solutions we enjoy today? Impossible without OCR.