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Gold/Mining/Energy : Telepanel Systems - TLS -- Ignore unavailable to you. Want to Upgrade?

To: waitwatchwander who wrote (815)	5/31/2001 11:42:16 AM
From: waitwatchwander	Read Replies (1) \| Respond to of 948

The five stages of an Active Data Warehouse evolution By Stephen Brobst and Joe Rarey Data warehousing is a journey. The most successful data warehouse implementations deliver business value on an iterative and continuous basis. Each iteration builds upon its predecessor to increase the business value proposition for information delivery. In recent years, the evolution of data warehousing has reached a new pinnacle with the deployment of decision support capability throughout an organization and even beyond its conventional boundaries to partners and customers <snip> As technology evolves, more and more decisions become executed with event-driven triggers to initiate fully automated decision processes. For example, the retail industry is on the verge of a technology breakthrough in the form of electronic shelf labels. This technology obsoletes the old-style Mylar labels, which require manual labor to update prices by swapping small plastic numbers on a shelf label. The new electronic labels can implement price changes remotely via computer controls without any manual labor. Integration of the electronic shelf label technology with an active data warehouse facilitates sophisticated price management with as much automation as a business cares to deploy. For seasonal items in stores where inventories are higher than they ought to be, it will be possible to automatically initiate sophisticated mark-down strategies to drive maximum sell-through with minimum margin erosion. Whereas a sophisticated mark-down strategy is prohibitively costly in the world of manual pricing, the use of electronic shelf labels with promotional messaging and dynamic pricing opens a whole new world of possibilities for price management. Moreover, the power of an active data warehouse allows these decisions to be made in an optimal fashion on an item-by-item, store-by-store and second-by-second basis using event triggering and sophisticated decision support capability. In a CRM context, even customer-by-customer decisions are possible with an active data warehouse <snip> Copyright © 2001 NCR CORPORATION. All rights reserved. Revised: April 04, 2001 . teradatamagazine.com