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Strangely, both nding and converting this person are usually surprisingly easy, at least for bigger projects If you talk to the disenfranchised stakeholders (the front-line users who have no say in the matter), you can usually nd some who are dead-set against the project, if for no other reason than it represents a change from the way they have always worked Take one of these people who has a fair amount of experience and make him a Stakeholder Representative Get him involved early in the process and take his suggestions very seriously If you act on some of those suggestions, you ll show that you have the Stakeholders interests in mind and you ll win his loyalty He ll tell the rest of the Stakeholders and, if all goes well, you ll have more support than you can imagine.

And who knows, you may build a better product with this person s input Generic Bad Guy: These range from simple defeatists and layabouts to Arch Super Villains actively trying to sabotage the project Try to identify these people early so you know what you re up against (On one project, we had a super villain at the Vice Presidential level We also had an Executive Champion at the same level, so we were able to hold our own, but it was pretty tough going It s easy to get squashed when such heavy-hitters collide).

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7.5.1 Focus on a Customized Coding Standard Policy This example shows a defect root cause analysis and the resulting customized coding policy for a medical records system application that interacts with a legacy system. Defect Identi cation Consider an application that displays real-time patient care information in a hospital. The system was built based on a legacy database with an existing patient record system, and intermittent, hard-to-reproduce

The drawing used in the following exercise on mirroring objects, ab07-02.dwg, is in the Results folder on the CD-ROM.

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Obesity is estimated to account for 39% of all cases of endometrial cancer, with a 10-fold increased risk in women who are 20 kg or more above their ideal body weight (Kaaks, Lukanova and Kurzer, 2002). The unopposed oestrogen hypothesis has been advanced to explain this association. Obesity increases adrenal and ovarian secretion of androgens (see above), which inhibits ovulation and therefore decreases progesterone production. Concomitantly, oestrogen levels are increased through aromatization of androgens in peripheral fat. In the absence of progesterone, oestrogen increases mitotic activity and DNA replication errors in endometrial cells, resulting in endometrial hypoplasia, somatic mutations, and eventually endometrial cancer (Modesitt and van Nagell, 2005).

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The structure of the initial risk analysis of a civil engineering construction project assumed that the primary criterion was cost. Delay was treated as a secondary performance criterion and converted into cost equivalents by assessing (in probability distribution terms) a cost per unit time for delay during construction. Quality (performance in relation to the design speci cation) was treated as a constraint. When the analysis was complete, in terms of a representation that users believed broadly re ected the reality of

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The RGA libraries can be subdivided into the following major categories: graphics, multimedia and utility APIs.

Table 21.4 Absolute and Relative Error on Saturated Case at Different TimeSteps for Problem Size 20,000 Saturated Absolute error Relative error(%) 200 t 0.1925 1.68 400 t 0.1928 1.79

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OUTSOURCING Spinout of divisions or training of providers outside the rm could accelerate imitation by competitors. The existence of heterogeneity suggests that pack behavior with regard to outsourcing decisions is potentially dangerous.

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Although the metrics scorecard will track how the changes to the business are impacting business performance, risk management ensures that the business continues to move forward without suffering any major failures If you don t have a risk management system, this is the time to build one What function does this system play in the project and how important is it VERY! Let me give you a real-life example of what happens when risk management fails My company was working on a restructuring effort for a technology manufacturing company, which had plants all over the world producing its products As part of the project we conducted Lean Six Sigma reviews of the plants and scored them against standard metrics based on our observations All of their plants were below average, but one plant in particular stood out as needing immediate intervention.

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