This tutorial, part 2 of a two part series on Knowledge Based Selection, demonstrates the selection processes and capabilities of Knowledge Based Selection Methods and Tools. These tools, integrated with business decision making procedures, can arguably reduce selection risk and improve chances for success in IT projects. Given the appalling rate of IT project failures, selection can potentially help reduce risk in some 30% of cases, with an associated estimated cost of about $30B annually to industry according to some sources. In this tutorial, we illustrate a number of the procedures for rapid decision processing through the real-life selection of a PDA device. The process gave confidence to the argument to wait for the solution, while weighing risk against return.
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example, I would prefer my basic functionalities to be met, more than worrying about manufacturer warranties or replacement programs. Priorities do not eliminate on the basis of performance as thresholds enable you to do. You can continue to define your own priorities and thresholds in the Prioritize form. You may note that unless price is taken into consideration, the iPAQ is likely to win every time. This is a case of general product passing over niche players like the Casiopea EM-500, which is