CHICAGO, July 14 -- R.R. Donnelley & Sons Company announced today that RR Donnelley Premedia Technologies has launched DataSelect, a dynamic composition engine aimed specifically at automating and simplifying the building and output of highly versioned directories and other database driven print materials. DataSelect is ideal for clients operating in the manufacturing, financial, technical, healthcare and property management areas. The solution excels at rules-based content layout for any type of structured documentation such as financial reports, research journals, service manuals, statutes and personalized enrollment kits. "Our DataSelect solution is ideal for clients that produce high volumes of versioned or customized directories," said Mary Lee Schneider, President of RR Donnelley Premedia Technologies. "In addition to drastically cutting composition and layout time, DataSelect can instantaneously change content on the fly and have those changes updated in all associated versions." DataSelect can automate manual processes formerly done by traditional desktop software, and cut internal overhead costs for customers by significantly reducing composition time. "RR Donnelley Premedia Technologies continues to deliver on its vision to enable 'smart content' for our customers," said Grant Miller, Senior Vice President of Product Planning and Development for RR Donnelley Premedia Technologies. "DataSelect is an innovative service offering that injects intelligence into the composition workflow by flowing customer content into layout templates that are embedded with rules and logic." The DataSelect automated composition workflow creates effectively error-free publications that can be quickly customized for any type of output including HTML, XML and PDF. As a leader in dynamic publishing solutions, RR Donnelley Premedia Technologies has launched DataSelect and several other dynamic publishing solutions this year. For more information and to view a DataSelect product demonstration please visit http://www.rrdonnelley.com/dataselect.