In going through a business decision process for complex technology selections, more and more use is being made of technologically driven processes using Decision support tools and captured knowledge. The use of these systems and the capability to drive a solution from them assumes an ability to accurately express business requirements and business value within these tools. In this article, we explore the marriage of knowledge management and decision support in forming knowledge based selection systems and procedures that can assist in reducing the current appalling record of IT project failures. This is illustrated by the process to select a Personal Digital Assistant (PDA).
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$30 billion in wasted investment annually. On the vendor side, the challenge of educating the potential client of their offerings results in long sales cycles, meticulous and numerous RFI responses, and potential for a mismatch, resulting in projects that can 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. For