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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However, I could remove unacceptable alternatives rapidly, and drive to a decision, aware of the risks and costs. Figure 6 illustrates the steps in the decision process. Figure 6. Steps in the PDA selection process. Additional use can be made of expert knowledge. For example, in the WebTESS PDA KB, under the criteria describing warranty, details of the warranty contract can be found in WebTESS PDA ratings (check it out under the criterion Other Product and Manufacturer Considerations ). These small