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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avoiding dissatisfaction, while taking on assessed risks, are part of process in Knowledge Based Selection methods. A Selection as a Tutorial In this article, we shall follow a simplified Knowledge Based selection process as an illustration. To follow this process as a tutorial, you should go to the WebTESS 2.0 website, and bring up the PDA knowledge base on a separate browser window. Click here to launch webTESS Note, however, that the author also invoked TESS to explore more sophisticated analysis