Speed of the
processing
inculding
faster
searches.
Repetitive
processing
done to
consistent
standard.
Savings
on
storage.
Ease of
updating
data.
Accuracy &
speed of data
communication.
Factors affectomg efficiency of data
processing:
Suitability
of
software
for the
task.
Ease of use
of software
and HCI.
Compatibilty
with other
hardware
and software
systems.
What could cause problems?
Changes in
requirments
during the
implemtation
Insufficent
testing a
system may
crash when
unexpected
input is
recieved.
Poor maintence prodedures.
Maintence procedure:
Perfective maintenance -
Documentation kept up to date,
Continual improvement of the system.
Adaptive maintence: It may
need to expand in some
areas, add new development.
Corrective
maintenace - Errors
which have been
corrected e.g. wrong
headers.
Factors affecting the
efficency of data processing
systems:
Hardware: The more RAM avaliable
the more program instructions &
data can be held and speeds up
processing.
Input GIGO : this
shows that the
output info is
dependent on the
accuracy of the
input data.
Software: Errors and bugs are
caused due to poor software which
can cause the computer to crash
unexpectdally and some cases lose
work.
Communication: People in an organisation
who will be involved in working with a new
system should be consulted in its
development there must be sufficent
communcation between the developers and
users of the system through all stages.
Operating system:
OS need to be up to
date for new system
software if it is not up
to date it may not be
capable of running
the new system and
vice versa.
How to avoid post implemenation costs?
Make sure your initial
systems analysis was
thorough and you have
identified all the data
flows and stores fully
understand what the
user wants.
A detailed design
is needed before
the
implemenantion
which should be
agreed by the user.