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WORKING
WITH DATA CONVERSION LABORATORY
Virtual
Engineering
A
peek into the work of DCL's Project Engineering Group - the folks who
map out and oversee the data conversion process...
ONCE
A PROJECT has gone through the sales phase at Data
Conversion Laboratory (DCL), it goes to the Project Engineering
Group. They're the people who analyze incoming data and plan the project
workflow down to the last detail. With the mission-critical projects
DCL take on, nothing can be left to chance. For example, most conversion
efforts need some level of human editing and so the Project Engineering
Group analyzes exactly what needs to be done, down to how many seconds
it should take per page, and how to ensure that it gets done the same
way every time.
To find out more about what
they do, I spoke with two members of the Project Engineering Group -
Mikhail Vaysbukh and Lesly Gross - and asked them how the typical Project
Engineering process begins?
"The
Project Engineering Group strive to get a clear vision of how
the material should look at the client's end..."
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"We often get involved
early on to help determine scope and price the project," replied
Mikhail. "But once a project actually starts up, the first stage
is a kickoff meeting with the client. This could be in person or via
a conference call. We basically go through the fine detail of the project
and confirm the schedule and deadlines. We also make sure we have all
the materials before starting a project - if any are missing, we reel
them in! We make sure everyone's on the same page and that we have all
the same expectations."
The Project Engineering
team typically consists of a project manager, data analyst, and programmer.
Essentially, the team is responsible for gaining a thorough understanding
of how the client wants their material converted - what level of XML/SGML
tagging is required, and so on. They also strive to get a clear vision
of how the material should look at the client's end. They can then write
up the specification document, which details all of the elements that
will be encountered in the client's data and how they will be handled
in the conversion process.
Hand-tagged sample
In the first instance, the
Project Engineering Group prepare a project specification in conjunction
with what they call a "hand-tagged sample," which involves
taking a few pages of a file and tagging them by hand. The combination
of these two documents allows the client to make sure everything is
defined correctly and to get a first look at what the finished results
will look like. And if anything needs altering, this is the time to
do it.
Once the hand tagged sample
and conversion specifications are ironed out, the Project Engineering
Group develops software to automate the conversion process. They then
submit a production sample to the client, which is a larger sample of
data that has been tagged by the software.
Human input
On most projects, a degree
of human input is required to clean up the data for conversion. "Software
will get you 90% of the way there," says Lesly. "But there's
always going to be a manual piece."
While the high-volume requirements
of a project are dealt with by the Production Group, testing of the
whole process on the initial small batches is done under the watchful
eyes of the engineering group. An editor works with the engineering
group to map out the editing process.
"The
editor has to test it out here first," continues Lesly. "That
way, before we put a thousand page book into production, we know all
the editorial steps needed and that it should, for example, take two
minutes per page to do. If in production, our control systems tell us
that it is taking ten minutes per page, we quickly can tell that something's
wrong and can diagnose the problem and put it right."
To keep costs down and reliability
up, the manual effort is kept to a minimum. Usually all it takes is
a few tweaks of the cleanup software to automate much of the conversion
process. For DCL, automation, with intelligent input from humans, is
a key selling point. It allows the company to convert very large volumes
of material fast and efficiently - and at a cost that is attractive
to most companies involved in large publishing efforts.
DCLnews
Editorial
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