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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not likely to kill me, in part reflected by the low priority I have given availability. I also reason if I am to get one, it had better be good. I decide to take the risk, as the rest of the evidence favors the iPAQ. Note the Cassiopeia E-115 has not been a contestant. My priorities are not set up for multimedia stuff, and there are things lacking in it for me, but not critical things. Perhaps this would be my final fall back position. Figure 3. Value of each factor (iPAQ is in red). Note the low value