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.
in fact the value tree of criteria. The top three criteria are Features , PDA Configuration , and Other Product and Manufacturing Considerations , and these criteria are what you first see in the tree. You can view deeper levels in the tree by clicking on the [+] boxes on the left of each criterion. Note the initial focus is on the top criterion (or root) of the tree - Selection of a PDA . The root name is repeated on the right hand side, above the Criteria label. To the right of the tree is a list