Implementing a Data Warehouse provides significanfbenefits - many tangible,
some intangible. '
more cost-effective decision-making: A data warehouse allows reduction of staff and computer resources required to support queries and reports against operational and production databases. This typically offers significant savings. Having a Data Warehouse also eliminates the resource drain on production systems when executing long-running, complex queries and reports.
better enterprise intelligence: Increased quality 'and flexibility of enterprise analysis arises from the multitiered data structures:Of a Data Warehouse that support data ranging from detailed transactional ley.el to high-level summary information. Guaranteed data accuracy and reliabilitx. result from ensuring that Data Warehouse contains only ''trusted'' data.
Ehanced customer service: An enterprise can, maintain better customer relationship, by correlating all customer data viiil/ single data warehouse architecture
Business reengineering Allowing unlimited analysis of enterprisermation often provides insights into enterprise!,processes that may yield breakthrough ideas for reengineering those proqesses. Just defining the requirements for a data warehouse results in better enterprise goals and measures. Knowing what information is important ~o an enterprise will provide direction and priority for reengineering efforts
Information system reengineering: A Data Warehouse that is based upon enterprise-wide data requirements provide a cost-effective means of establishing both data standardization and operational system interoperability. Data Warehouse development can be effective first step in reengineering the enterprise's legacy systems
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