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Oracle Data Mining Races with America's Cup


 
  
Oracle Data Mining was used by the performance analysis team of the BMW/Oracle Racing team in their preparation to win the America's Cup race off the coast of Spain.


By charlie.berger on February 19, 2010 12:36 PM

Oracle Data Mining was used by the performance analysis team of the BMW/Oracle Racing team in their preparation to win the America's Cup race off the coast of Spain.

The America's Cup has been away from U.S. shores for 15 years, the longest drought since 1851. With the challenge of squeezing out every micro-joule of energy from the wind and with the goal of maximizing "velocity made good", the BMW Oracle Racing Team turned to Oracle Data Mining.

"Imagine standing under an avalanche of data - 2500 variables, 10 times per second and a sailing team demanding answers to design and sailing variations immediately. This was the challenge facing the BMW ORACLE Racing Performance Analysis Team every sailing day as they refined and improved their giant 90 foot wide, 115 foot long trimaran sporting the largest hard-sail wing ever made. Using ORACLE DATA MINING accessing an ORACLE DATABASE and presenting results real time using ORACLE APPLICATION EXPRESS the performance team managed to provide the information required to optimise the giant multihull to the point that it not only beat the reigning America's Cup champions Alinghi in their giant Catamaran but resoundingly crushed them in a power display of high speed sailing. After two races - and two massive winning margins - the America's Cup was heading back to America - a triumph for the team, ORACLE and American technology."

--Ian Burns, Performance Director, BMW ORACLE Racing Team

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