DCL experts are recognized speakers on SGML/XML conversion topics & are members of many professional organizations. Mark Gross, President & CEO, authored the data conversion chapters in Charles Goldfarb's The XML Handbook and in Bill Kasdorf's Columbia Guide To Digital Publishing.
Great preparation leads to a successful project. Before every conversion project, DCL methodically analyzes the client's materials, creates tagging specifications, and provides a detailed pilot for review. This precise analysis assures that the files are optimally tagged to meet the requirements of the specification.
No excuses. No surprises.
Automated Tagging with Human Review
DCL tags content not pages to support increasingly specialized requirements in a number of industries. We maximize automation in this process through our unique suite of tools. The result is a consistently tagged product across even the largest document sets. Finally, our team reviews it all just to make sure.
DCL leverages strategic partnerships for the labor intensive portion of the conversion process. Relationships with more than 25 of the world's best conversion facilities, both on-shore & off, allows us to provide output that is unequalled in the industry.
Multiple Levels of Quality Review
DCL combines both automated & manual review processes, as well as multiple independent groups reviewing the same documents to ensure that the converted content meets the client's requirements. Our reputation depends on maintaining the highest level of accuracy possible.
Extensive Tracking of the Client's Valuable Documents
DCL's Production Control System (PCS) tracks every document through every step of the process with a web-based interface enabling customer tracking of the files 24/7.
DCL's can adapt & modify its proprietary software to manage any data set, using an automated approach to produce an uncompromising consistent end product.
Our branded software analyzes 1000's of documents simultaneously in order to objectively measure the extent of content duplication, locate duplicate and "near" duplicate data, eliminate extraneous content and harmonize text variations. This detailed analysis is invaluable in determining the content reuse potential while saving valuable time and money.