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.
n part 10
for differentiation) As a noted in part 1, most IT selection tools on the web contain only features and functions criteria. For many complex decisions, this can be inadequate. After selecting the PDA KB, you will be placed in a window entitled Summary . There are four sections to this window. On the left side is the decision hierarchy - in fact the value tree of criteria. The top three criteria are Features , PDA Configuration , and Other Product and Manufacturing Considerations , and these