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Data processing systems are
often called information systems for this
reason.
In data processing, data is converted by
computer into understandable, coherent
information. Data is only useful when it is
organized and meaningful in practical terms.
Data processing systems are often called
information systems for this reason. In
practice, either term may be used, since data
processing or information processing systems
both convert raw data into information as output
that can be understood and used by people.
Most companies develop criteria for data entry
and only make changes when forced to do so. Few
companies conduct a thorough periodic review of
their data entry procedures and processes. When
the initial data entry format continues to be
used without review, the resulting information
may decrease in usefulness to the company and
efficiency is likely to be greatly reduced.
Seldom are data entry employees asked for their
opinions on how the data entry processes could
be made faster, easier, and more efficient. Even
companies in the business of creating task
forces in sales, marketing, and process
improvement rarely see data entry as a key
concern for review. This mistake can be costly.
Adding more processes to an outdated system
every time a new marketing idea comes along can
result in cumbersome, inaccurate data of little
value.


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