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Vodafone UK Implements Coppereye

23rd March , 2006

Europe UK : CopperEye, an innovator in enterprise search software that delivers order-of-magnitude performance improvements and cost savings, today announced that Vodafone has successfully implemented CopperEye Greenwich as a component of their solution to better analyse probing data from their General Packet Radio Service (GPRS) switches -- a mobile data service available to users of GSM mobile phones.

"CopperEye was a key enabler of Vodafone UK's ability to quickly demonstrate the value of capturing and analysing high-volume GPRS probe data," said Derek Johnston Head of Service and Performance Management for Vodafone. "We were able to implement CopperEye in less than two weeks for access to terabytes of data - something that would have been too costly and taken too much time and resources to implement using a relational database."

The data of interest to Vodafone UK is generated directly from the GPRS network elements and contains information on connections, disconnections, what services were used, websites visited, starting portal and any problems experienced throughout the data call. These records are created at a rate of 300 million transactions per day, with a business need to save at least 30 days for analysis. The roll CopperEye plays in the solution is allowing the data to be captured and saved on a low-cost file system, and then quickly retrieved using CopperEye without the need for a database.

"Our work with Vodafone is a clear example of how taking an enterprise search approach to accessing large volumes of transaction data, rather than the typical approach of using a database, pays great dividends in shorter implementation time and higher performance," said Kate Mitchell, CEO of CopperEye. "Vodafone UK was able to implement Greenwich in a matter of weeks for more than a billion records, and expanding the volume of data is as simple as adding additional disk drives."

CopperEye Greenwich is currently available on all tier-one UNIX platforms. Pricing is determined by the number of rows of data under management and is tailored to each customer environment. Pricing typically represents a 75-80 percent reduction in the cost of hardware and software for traditional commercial database approaches of comparable performance.