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The approximate labor time required for each process should be included in the needs analysis as well. This will be used later in the costing phase. This review is a critical part of selecting a computer system. It is time consuming, but the payroll department must know exactly how long the current system takes to process these areas in order to compare it to the capabilities of the new system. Once this review is nished, the next step is to x a price on the current payroll system. The new payroll systems being examined will then be compared to this cost to determine proper budgeting for the new system and to validate any cost savings. This step is extremely important, especially if the payroll department is considering outsourcing the payroll processing to a service bureau where each individual process may have a cost. This will allow the department to compare apples to apples. If the payroll department is currently using a service bureau, this costing must also be done to compare the new system to the old. Areas to include in this cost assessment are:

There are a number of recommended strategies for porting an application. Whilst each case is unique, there are some tried and trusted blueprints

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These data are interesting in both relative and absolute terms. On the low income side, about 25% of individuals with incomes of less than $10,000 said that individuals of their income level could afford the new drugs. This represents a surprisingly high gure in light of the fact that it is unlikely that individuals with such low income could afford today s presumably lower priced medications. On the high income side, only 75% of individuals with incomes greater than $100,000 said that individuals of their income level could afford them, meaning that fully 25% of individuals in the highest income category believed that individuals of their income level could not afford pharmacogenomic drugs. In fact, not until the income category of $50,000 $75,000 do more than 50% of respondents believe that individuals of their income level could afford the new medicines. Of course, nobody, including the respondents, knows how much the new drugs will cost, and no speci c prices were mentioned in the interviews. Not surprisingly, 17.2% of respondents said they did not know whether they could afford the new medicines. The slope of the curve in Figure 1.7 also is noteworthy. The responses for income brackets of $15,000 $20,000 and $20,000 $25,000 seem incongruous. Super cially, either the former gure is too high or the latter gure is too low. One possible explanation is that the $20,000 $25,000 range represents the working poor, whose income is too high to qualify for Medicaid and similar need-based health care, but whose relatively low-paying jobs do not include any health bene ts or do not include adequate health bene ts for prescription drugs (Kuttner, 1999). Figure 1.8 supports this explanation. Individuals in the $15,000 $20,000 income range report higher levels of

A quick look at the code shows that the only dependencies for both the library and the test application are libc, libm and some standard exception handling (std::runtime_error) from STLport. The library doesn t use any writeable static data either. There should be no need for any changes, particularly not architectural ones, to get this to run on the Symbian platform.

the capabilities of each of the network nodes (in terms of the types of router and the input/output interfaces), and the link speeds of the direct links that interconnect any two nodes With the help of such a NEDM and fault diagnosis rules, the fault management component can then perform root cause analysis, as explained next in Section 7413 Summarized below are the salient points associated with NEDMs for wireline networks: 1 The NEDM can be thought of as a graph that captures the physical layer relationships between the various network nodes, by (a) using vertices to represent the network elements (eg, routers, switches) and (b) using edges to represent the direct communication link ( ber, twisted-pair, etc) between any two vertices 2 The connectivity between the vertices (or network elements) is known a priori and is relatively static.

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