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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iPAQ having more of what is important to me. Figure 2. How the decision appears when lower priority criteria are neglected. At 11 o'clock in the spider, all the criteria are included in the decision. Going counterclockwise, more criteria are excluded. At twelve o'clock, we're basing our decision solely on Basic Supported Features . At two o'clock, the decision is based on three criteria - Basic Supported Features , PC Synchronization , and Advanced Features . I can ask the question whether a change