-- Integration modeling, data warehousing, data strategy
The single most
important development in warehousing today is probably the iterative approach. Data
Warehouse projects risk getting bogged down in traditional "waterfall"
approaches, where phases are not allowed to overlap and project "scope-creep"
causes the collection phase to expand, never getting complete enough to move on to the
data delivery phase.
Frequently this phenomenon is caused by the fact that the corporations information
needs are little understood in key areas. Required data has not been available in the
past, so business users literally dont know whats needed, what will be of use
and what will not. Of course, some needs are obvious, but the more subtle requirements
only surface after iterative exploration of whats available versus whats
Hence, the iterative model of data research and discovery, leading to the iterative
model for development of databases and applications to access the data. Until the
availability question is settled, presentation will tend to shift and grow.
to Data Warehousing
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- Copyright 1998,
1999, 2000. Laura Brown,
LBPI, Inc. (DBA: System Innovations)
- Last Updated:
August 18, 2000