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.
do a proposal
From TESS I can do a trick and examine the value returned per dollar spent. More than that, I can include all costs (my TCO ), and compare the ROI's. In Figure 5, the total expected cost is measured for each PDA in my shortlist on the y-axis. Interestingly, the Jornada has the best ROI, and would win in this scenario. However, the chart also tells me from the table at the bottom of the figure that a cost reduction of $44 - some 8% - would give me the same ROI for the iPAQ. Unfortunately, my sway with