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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fits all' which can be a mistake, potentially leading to poor matches. There are practical considerations of course, since one cannot do this for large numbers of criteria, and a judgment call is required of where to draw the line between time, complexity and accuracy. Having an effective evaluation tool, and a process with an experienced analyst capable of vetting data and value provides better protection against methods that can miss the mark. The PDA KB can be made more complex, of course,