Intelligent Capture: Better Service Starts with a Better Process
Duration: 60 minutes
The numbers speak for themselves. Fifteen petabytes of new information generated every day, much of it originating on paper. More than 80 percent of data in the average enterprise is "unstructured," meaning it doesn't move easily into business systems and workflow applications. Every business knows the feeling of being trapped in a holding pattern until critical information that exists on paper or as email, fax, or PDF, can be extracted and delivered into their enterprise information systems, such as an ERP or ECM. That holding pattern can feel like an eternity given the long journey from remote offices to central imaging centers, and the laborious process of manually keying critical data from documents into business applications.
A new breed of distributed document capture software has arrived that can put an end to these problems. At the same time it resolves a number of other issues - such as document loss, privacy leaks and unnecessary expense - that arise from shipping documents from distributed locations to a central processing center. In this webinar hosted by Lexmark International's Keith Jones, vice president of worldwide product marketing, and InformationWeek Contributing Editor Jennifer Zaino, you'll discover how data-driven business processes are accelerated by capturing documents at the point of service, and immediately transforming data into actionable information with intelligent capture technology.
Join us for this webinar to discuss:
Why quality of indexing remains an issue with the central capture model.
How most businesses already have in place the foundation technology for beginning a distributed capture initiative across their locations.
What you must do to move beyond automated scanning and routing of documents to automatically processing them.
The impact of Lexmark Distributed Intelligent Capture solutions on a wide range of processes, from accounts payable to loans and claim processing to employee onboarding.