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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build data and process information in a meaningful context, which takes time and costs money for all participants going through the selection process. But without spending time, thought, research and money there is increased business risk to all. To cut away from this devil-and-the-deep-blue-sea conundrum means looking under the hood of evaluation and selection practices, to determine if there are better ways of moving through them. There is certainly room to ask the fundamental question of whether the