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viewpoints (per professions, interests, etc.), and
so can “objective” information. It tends to lack
wholeness, which is precondition of total objec-
tivity, for natural reasons:
For the needs of the individual business op-
eration (different kinds, types, and forms) and
business operation in the individual areas of work
(e.g. per business functions, or per projects), we
need the
information
that is suitably conceived
and created in accordance with the set goals of
our work. On the other hand, we need different
general information for each business operation,
both for business participants to set goals and to
realize them.
Information
can be created on different levels
of generalization resulting from requirements of
the business management. The level of generaliza-
tion can be in the interval between entirely general
information and completely specific information.
This fact brings us again to the issue of background
of attainment of a selected level of
holism
/whole-
ness. It is essential for
information
to be reliable
rather than misinformation or disinformation.
Creation of requisite wholeness of information
provides content, which serves as a basis for the
consideration of the informational support to busi-
ness. Though, such
information
provides only for
the basic, but not for the sufficient precondition
for the informational support to business to attain
requisite wholeness. The other basic precondition
of understanding and application of
information
consists of creation and use of a suitable informa-
tion infrastructure as a component of wholeness
of business intelligence.
All these and similar issues allow for the
conclusion that the attainment of wholeness of
information faces entanglement.
•
Nature has enormously many more attri-
butes than humans can capture,
•
There is no
information
without percep-
tion by observer/s, and
•
Humans are neither able to know every-
thing, nor to think of everything at the
same time.
Reductionism is consequence of this limited
human capacity, and it allows for depth and hin-
ders
holism
of behavior and wholeness of insight
and other outcomes. Therefore objectivity of
reality is not limited, but objectivity of
data
and
information
is.
On the other hand,
information
that cannot
be exactly defined is called subjective. As a rule,
it is collected and examined by the application
of various qualitative units, or even by applica-
tion of descriptive criteria only, which cannot
be measured in quantitative units. Reductionism
results again, allowing for depth and hindering
holism
and wholeness. But now its presence is
clear and admitted.
Thus, the
information
capacity of collected
data and
messages
depends of the level of
holism
of the selected system of viewpoints of both the
data providers and data collectors and processors.
If their holism lacks, misinformation and / or
disinformation can results from lack of whole-
ness of insight.
Therefore, in attempts to increase wholeness
of information, we face two aspects of data suit-
ability, i.e.:
entanglement of provision
of requisite Wholeness of
information support for business
Let us now spend a few minutes with the issue of
entanglement (Mulej et al., 2000; Potocan, 2003;
Mulej et al., 2005; Potocan, 2005; Mulej, 2007;
Potocan, 2008; etc.).
The concepts of entanglement are not always
precisely defined, on one hand. On the other hand,
•
An adequately target-oriented information,
and
•
A suitable/requisite level of generalization
of information, resulting from
data
and
messages
.
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