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.
a part 6
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 Support System selection process. This second part of our two-part article is a tutorial with which illustrates using such a system to select a Personal Digital Assistant (PDA). Though a PDA is far less complex than, for example, an ERP system, processes and procedures enabling narrowing down of solutions, and avoiding dissatisfaction, while taking on assessed risks, are