data warehouse

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data warehouse

A central repository for the data collected by the various computer systems of an enterprise.
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As a method to improve the sharing and storing of client information in data warehouses, data mining is now beginning to make advances into these systems.
But just like the old saying "beauty is only skin deep," businesses are starting to realize there's a lot more excitement left in their relationships with their data warehouses and some are actually finding creative ways to keep the flame alive and make money in the process.
Physicians are just beginning to learn that insurers have been building data warehouses of claims data for years and are now using those databases to determine which physicians and provider organizations to contract with in new, more "selective" preferred provider networks.
0[TM] outlines the definition of the future architecture of data warehousing under strict new parameters, marking a significant shift from the traditional static data warehouses and legacy descriptions.
The Norwich Union project is a great example of how data warehouses are increasingly being used to deliver operational applications as well as decision support.
WhereScape Software, provider of the first lifecycle management software solution specifically designed for data warehouses, announced today WhereScape RED 5.
This is especially important because data warehouses have become a reliable foundation to run mission-critical business-intelligence applications.
With many organizations expected to at least double the size of their data warehouses over the next three years(3), there is a tremendous need for data warehouse appliances that can quickly scale to meet market demand.
The NCR 5450 Server maximizes system performance and throughput required for active data warehouses by leveraging the Intel Xeon 3.
Netezza, the global data warehouse appliance leader, today announced the results of a recent survey conducted by The Data Warehouse Institute (TDWI) that underscores a growing need for data warehouses that are built to scale to the multi-terabyte range.
Unlike traditional custom-built data warehouses, the new generation of adaptive data warehousing solutions provide the ability to quickly change as the business changes, ensuring consistent alignment with the organization's current and evolving business requirements.
Today's enterprise-wide implementations of data warehouses need to be flexible enough to deliver incremental value in stages relevant to the individual business.

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