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Authors
Advisor(s)
Abstract(s)
This
work
has
the
purpose
of
identifying
the
main
requirements
that
ISO
8000:
Data
Quality,
related
ISO
standards
and
leading
literature
for
implementing
a
data
quality
management
system
prescribe
to
sustainably
improve
the
level
of
data
quality.
The
expected
outcome
is
to
identify
the
status
quo
in
terms
of
data
quality
in
the
organizations.
It
is
executed
by
sending
a
survey
coming
from
a
conducted
model
to
all
companies
regardless
of
operating
industry
or
size
with
the
objective
to,
on
the
one
hand
figuring
out
the
actual
conducted
measurements
and
on
the
other
hand
identifying
their
attitude
towards
these
activities
with
regard
to
data
quality.
The
popularity
of
ISO
8000:
Data
Quality
is
evaluated
and
its
potential
for
substantially
increasing
the
level
of
data
quality
is
examined.
Emphasis
is
put
on
the
main
requirements
roles/responsibilities,
management
commitment
and
employee
awareness
building
the
cornerstone
of
this
management
framework.
It
turns
out
that
the
preparation
among
companies
to
embrace
these
requirements
is
diverse.
While
roles
and
responsibilities
are
formally
defined
in
many
cases
but
lack
sufficient
financial
backup,
management
commitment
is
predominantly
perceived
as
insufficient.
Employee
awareness
in
contrary
is
rated
best
among
the
dimensions.
Evidently
financial
institutions
have
a
high
focus
on
data
quality,
whereas
manufacturers
are
the
least
concerned.
ISO
8000:
8000
can
be
seen
as
an
opportunity
to
consistently
increase
the
maturity
in
the
critical
data
quality
dimensions
and
ultimately
increase
data
quality
for
a
higher
profitability.