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.
failed client relationship it implmentations
that go awry. These failed projects do not bode well for the vendor, since the sales cycle costs can only rise, and their reputation can suffer. Consequences can be more severe for the client where it can, in extreme cases, lead to business failure. Implementers (which can be internal IT departments as well as consultants) can also find that decision-maker indecision leads to lengthened sales cycles, missed opportunities, and risk of competitive intrusion. The root cause of this indecision is an