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exists between the audiences served, but to a great extent senior manage-
ment is interested in the external directional quadrant, middle manage-
ment in the internal administrative quadrant, and clerical personnel in the
external administrative quadrant. In addition, the audience served by each
quadrant can be categorized by job function. The marketing function is
interested in the external directional quadrant; the sales function is inter-
ested in the external administrative quadrant; and the personnel adminis-
tration function in the internal administrative quadrant.
CONCLUSION
The task of data modeling is confused enormously if all data is treated as
if it were equal. To model data meaningfully, it should be broken into four
general categories: internal administrative data, external administrative
data, internal directional data, and external directional data. Each of these
quadrants of data contains essentially different data with different charac-
teristics. Models of data within any quadrant can be meaningfully created.
But when data from one quadrant is mixed with that from another, the mod-
eling process is best served by the creation of indirect relationships from
one model to the next, rather than by mixing data models from different
quadrants into a single integrated model.
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