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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processes. In this, the second part of this article, we shall follow a simplified process as an illustration. The method was used by the author to conduct a selection on a Personal Digital Assistant (PDA). In this case, the end result was the purchase of the suggested item! The first part, is an overview of decision support systems and knowledge based selection. About This Note : This is a two part note where Part 1 is a discussion of the use of an IT Knowledge Based selection tool as part of a Decision