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There are several important consequences of data-centric thinking: First, many, if not all, components can be processed in parallel to increase throughput; and, the ability to complete the job no longer hinges on a single point of failure. That is, when the inevitable font is missing from an EPS graphic nested in a Quark page, you can still produce the magazine on time. But not by using a workflow based on processes. Given the conventional serial workflow, pages are created, assembled into flats and then the entire job is RIPed. That's when you get courier type, tempers flare, and money and time are lost.
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- Companies:
- Quark Inc.
- Valassis Communications
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