Taking those environment specifications into account, any data warehouse to be used within the environment should provide least but not last; - Document life-cycle management - successfully integrates the entire documentation flow process from the scientist's bench to market. - Collaboration - previously, each business group and scientific group wrote its own documents and had no ability to share information and research, or to check for consistency. - Leverage existing knowledge - access to prior research speeds decision-making. Gigabytes of research are now centrally located, electronically available and easily accessible to everyone concerned, so the decision makers can make smarter, timely decisions. - Simultaneous submissions - eliminates the redundancy of reapplying for approval in different world markets.
Finally, in terms of Payton and Handfield paper, we can say that the data warehouse within pharma environment should have the features of; Completeness, Data Integrity, On-Time Delivery, Cycle-Time, Run-Time, and the ninth measure.
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