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.
knowledge management product study
the hierarchy. WebTESS 2.0 Knowledge Bases (KBs) are arranged in this way. ( Author note : The criteria can or should represent variously business objectives, business capabilities, processes, and end criteria which can represent features and functions, or measurable items related to other issues of the vendor-client relationship, including project management and vendor viability issues(for example). In our case the relationship is limited in the KB to availability and warranty concerns only, partly to