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ten customer This is a business decision the definition may be as simple as the customers with the greatest purchases this year to date Or, it could be as complex as the customers with the largest contributions to gross profit margin over the past four quarters, who have been customers for at least two years, and who have not exceeded 80% of their existing credit line The point is that once the business defines the criteria for the top ten customers, a formula can be created that will always calculate those top ten customers with the latest data; this allows the members of the set to change frequently, depending on the criteria and the volatility of the data The person designing the reports can then simply drag over a named set such as Top Ten Customers and the report will always show the current top ten customers Once again, Named Sets help highlight the need for someone who understands MDX well when building a business intelligence solution based on Microsoft technology Figure 6-3 represents a rather boring chart on the surface There is a single measure, Gross Profit, on the X-axis The Y-axis contains a hierarchy of product model lines, a hierarchy that goes from the All level to the Product Line level to the Model level There is also a tooltip shown in the screenshot because, when the mouse is moved over a bar, the value of that particular bar appears in a tooltip In this chart, there is one large bar, sometimes referred to as the Big Blue Bar because, while boring on the surface, it actually tells users something useful: in this example Gross Profit for all products is approximately $126 million Some users will question the time period that is covered, but in this case, hopefully it is obvious: since no time has been specified, this is for all time, as well as all customers, all employees, and so on There isn t much else that can be done with this particular chart while in Design mode, but clicking the Browse button opens a viewer that allows the developer to test how end users will be able to interact with this particular chart Opening the chart in the Browse Analytic Report viewer is, at first, not any more exciting than viewing it in Design mode Now, however, moving the mouse over the Big Blue Bar turns the mouse pointer into a hand, indicating a clickable region Clicking once on the Big Blue Bar changes the view to that shown in Figure 6-4 In Figure 6-4, it is easy to see that the Mountain Product Line is the largest contributor to Gross Profit by far (realize this is gross profit in dollars, not the gross profit margin, which is a percentage) But why did clicking on the bar go from the All level of the Product Model Lines hierarchy to the product Line level This is because, by default, clicking on a bar will drill the user down one level on whatever hierarchy is listed on the Y-axis (the Series) Note too that the browser window has Back and Forward buttons in the upper left-hand corner, so that users can easily go back to the previous view of the chart.

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Figure 4-32 Nodes being fed cable service on separate bers (Only the forward system is shown)

Such protection only goes so far; some trust in the probity of government combined with the law of large numbers (any widespread subversion is bound to leak out) will, realistically, be required to ensure that safeguards are followed

Figure 6-4

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Systems are rarely fault-free, and faults, invariably, have consequences Four types of faults bad records, improperly revealed information, inoperative networks, and CRDs are worth noting Bad records are a problem when people make bad decisions based on them One argument against mandating IDs for employment (so as to discourage illegal immigration) is that a one percent error rate would keep a million legal Americans out of work while problems were fixed (compared to an estimated population of two to three million employable illegal aliens) The system discussed here will also inevitably contain errors, both in registering people and in tracking their whereabouts The best that can be said is that the consequences of those errors will be mitigated by the fact that at least tracking will be largely automated (proper systems design convert some ambiguous errors into obvious ones) The consequences of error are also softened insofar as the purpose of collecting checkpoint information is more to suggest (for example, that a person may be engaged in suspicious activity) than decide (for example, to give someone access or not)

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Not all biometric applications necessarily check to see if the match is of a living person The reason has to do with both cost and performance Not many vendors sought to incur the extra costs of including additional sensors and software to test for liveness Their initial motivation was to establish market share via good data acquisition matching of the primary biometric The extra liveness testing also takes time and can slow down overall throughput Thus, a word of caution is in order: never assume that a biometric device tests for liveness; do your homework Matching is susceptible to various user and environmental and biological factors (see Table 2-1) and their impact varies based on the particular device For example, weather, light, or heat may affect certain biometric systems and increase the crossover rate Other factors such as aging, facial hair, and eyeglasses can also affect the quality of matching for certain systems In addition, user training and education are a clear factor in the success of the deployment and subsequent matching of users

Browsing an Analytic Chart allows a developer to preview the report and drill down on it without having to first publish it to the server

minimum optical signal levels that provide a range of RF output signal levels are speci ed Equipment manufacturers usually have a variety of options available to the system designers Such options may be a single, dual, or quadruple RF output Thus, the optical receiver system can act as an RF bridging ampli er, providing signal level up to four outputs Another feature is the return option that assembles the upstream RF carriers and converts them to an optical signal for transmission to the headend hub via an optical ber If the upstream signal operates on a different wavelength than the downstream signal, the same ber can be used to carry both up and down signals In this case, a splitter-coupler combination has to be placed in the ber at the headend/hub and at the node location Such a system is illustrated in Figure 4-33 4413 The optical equipment placed at node or sub-hub locations usually receives electrical power from the coaxial cable RF plant This power source is the usual 60- or 90-vac power from the normal cable plant Because this optical receiver is critical for providing service to the node distribution point, a standby or UPS power supply is necessary Remember that system reliability is a requirement for any system operating in today s telecommunications environment In many instances, the sub-hub or node is not a strand-mounted or pedestal-mounted unit; rather, it appears in a building housing local signals Dropping services and adding services are performed at these locations, and because commercial power is available, the optical receivers are rack-mounted where the RF channels are used to provide selected programming, as required by the sub-hub The sub-hub location should have a standby power source to provide emergency power Often at these locations RF television signals provide service to the immediate area, while remote service nodes are served by optical ber.

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