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.
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Based Tools Part 2: A Tutorial A Case Study and Tutorial in Using IT Knowledge Based Tools Part 2: A Tutorial E. Robins - May 31, 2001 Executive Summary Most business managers, whether vendors, vendor clients or implementers, are unaware of the fundamental capabilities that knowledge based decision support can provide to minimize project risk for all sides of technology utilization. Given that over 90% of IT projects fail on first attempt, according to the Standish Group, more thought and research