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UML and Data Modeling: A Reconciliation by David Hay

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·         Business Rules

The motivation for all the efforts to rationalize data storage, of course, was the requirement to improve the quality of data that are used by the business—both to carry out its operations and to plan for the future. Before companies were so interconnected and so dependent on computer technology, data were as accurate as they had to be to carry out specific tasks. Beginning with the advent of manufacturing planning systems in the early 1970s—that depended on accurate order and inventory data to work—the demand for data quality grew faster than technologies have been able to keep up. If the wrong product is shipped or raw materials are not available for manufacturing, this can be very expensive for the organization. ...

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