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.
practice of RFI / RFP processes, among other internal organizational procedures, are adequate to the task of selecting complex systems? The record indicates there is much room for improvement. In essence, for complex selections, the human-machine combination has to work together to drive the solution. Both have to be understood and complement each other in the process. It is easy for the human to be overwhelmed, or simply run out of time, and the machine interface and engine to be inadequate to the task.