As little as a year ago, the term "Data Mining " was virtually unknown in the commercial marketplace. Today, less than a year later, due largely to programmes like Silicon Graphics` MineSet 2.5, it has become arguably the most powerful marketing tool ever known -- one that many major companies now regard as indispensable to their competitive edge and business survival. What is Data Mining? Sort of like mining for gold in your own back yard. Buried deep inside the vast databases of most medium- to large-sized corporations are potentially priceless nuggets of marketing information -- schematics and demographics that can give the most detailed insight into their customers` behaviour patterns, buying habits and unique personal profiles. "However, there are two problems with regard to extracting this information," says James Chiweshe, Managing Director of Silicon Graphics sub-Saharan Africa. "Firstly, many companies are still completely unaware these information gems even exist. Secondly, those that are aware of their existence believe that to extract them from their databases is simply not viable. "Using ordinary spreadsheets, it would take kilometres of paper and thousands of man-hours to obtain any meaningful information from these databases," Chiweshe continues. "Until now, that is. Now, using MineSet, you can quickly and easily strike the `information mother-load` within your company." MineSet 2.5 is Silicon Graphics` newest version of the fully integrated, comprehensive suite of easy-to-use analytical and visual data mining tools that can transform any company`s ability to tap into their existing reservoirs of customer information, while in the process revolutionising their decision-making ability. With MineSet 2.5 software tools, Silicon Graphics is the first major vendor to offer a commercial implementation of "boosting". Boosting increases the accuracy of models by repeatedly adjusting them to compensate for errors. Unparalleled scalability combined with improved error correction ensures that users can make critical business decisions faster with higher precision. "Users` needs in key industries are better served with MineSet 2.5, as it redefines the standard in data mining with tighter integration of analytical and visualisation tools," Chiweshe adds. "For example, results of MineSet business models can be defined into profitable marketing campaigns by automatically generating ROI curves." Features of MineSet 2.5 include: * Parallel implementation of Decision Tree inducer, Option Tree inducer, Regression Tree inducer, Na
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