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In order to set up a KPI with multiple targets, the developer clicks on the KPI in the Workspace Browser to bring up the Summary page for the KPI For the Actual, the name can be changed to match the filtered value As an example, imagine that this KPI will present the product category of Bikes The designer would change the name from Actual to Bikes and then click on Data Mappings Then a filter would be added to filter just by bikes; this is similar to what was shown in Figure 5-14 but would not also include the State-Province filter Next, the Target would have its data mapping changed to the target of just sales for bikes In the Adventure Works cubes there are not sales forecasts for different product categories, so for the sake of this example a hard-coded value will be used Again, the designer would simply click on the Data Mappings link and choose the appropriate value for the target The name Target could be changed or left the same, depending on the needs of the business The thresholds and indicator are set as before Finally, the designer would click on the New Target button to add a new target to the KPI This target, however, will map to either the actual Sales Amount or the Sales Amount Quota without any filters Remember that this target is all sales, and Adventure Works is mostly a company built to sell bicycles, so they determine that Bikes should be at least 90% of total sales Therefore, the actual for bikes can be compared to either the actual sales or the quota, whichever the business determines is the better approach (typically, business would use the actual sales and not the quota in this case) The thresholds, however, are set so that the indicator should move to the On Target position at 90% or higher For this new target, a name such as Total or Percentage of Total can be used An indicator must be added as nothing comes up by default Once the thresholds are set and the data is mapped, returning to the scorecard now reveals additional items in the Details pane Figure 5-17 shows that while there is still just a single KPI of Sales Amount, there are three Metrics: Bikes, Target, and % of Total These three metrics have been placed in the grid The column labeled Bikes is the Sales Amount measure filtered to show data for just the bikes category (which is the majority of the data) The Target column would be the sales quota set for bikes; in this case it is merely a hard-coded value of $30 million because there is not an actual forecast for bikes in the cube The threshold is set so that the current bike sales of approximately $225 million are in the red, or Off Target, position Finally, the % of Total column represents the Sales Amount measure for all products Bikes are a significant part of this measure, but the goal is for bikes to be 90% or higher; currently bikes represent only about 87% of total revenues, so the indicator is yellow or Slightly Off Target Note that the % of Total column isn t actually showing the percentage, but the Sales Amount measure If the goal was to show the actual percentage, this would be one of the times than an MDX expression would be needed In this case, the Data.

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Casinos are using other biometrics for a variety of purposes For example, Oneida Bingo and Casino in Green Bay, Wisconsin, uses biometrics to secure money Money is concentrated in four areas, which include the vault, hard and soft count rooms, and the cage Coins are counted in the hard count area Dollar bills are counted in the soft count area Visitors go to the cage to exchange chips for money or to receive bills for coins, and vice versa

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At the headend point in a cable system, the signals that make up the system s product are assembled and grouped according to the channel lineup This channel lineup or grouping is usually the result of an agreement between the cable operator and the licensing or franchising municipal authority The signal quality at this point in the system is as good as it s ever going to be It s the job of the distribution system to deliver this product as perfectly as possible to the system subscriber At the headend the electronic equipment cleans up and adjusts the signal level on a channelby-channel basis Off-air signal processors remove signal level variations and lter unwanted noise and interference products An Earth receiving antenna and receiver set picks up satellite programming and reduces the resulting signal to its base band This base-band signal is the usual NTSC video and sound signal or a digital bit stream In most cases this digital signal is decoded further into video and audio signals, which then are converted to standard NTSC signal for subscribers television sets More people in the television viewing public are purchasing largescreen HDTV sets with a 16 :9 aspect ratio Such sets usually offer a standard NTSC tuner as well as a digital HDTV tuner; these tuners allow the subscriber to view both types of signals The satellite signals that appear as standard NTSC are modulated onto a standard television channel and connected to the cable system Digital signals are usually in the standard MPEG-2 or MPEG-4 format and are carried by the cable systems using digital modulators of the QAM 64 or 256 format Most subscribers with digital TV sets have the capability to receive in the digital mode the broadcast station format of eight-level vestigial sideband (8-VSB) or the QAM 64 or 256 format At the headend all the channels are combined down to a single point needed to drive the cable trunk system All signals from the broadcast networks, satellite systems, microwave systems, as well as any locally generated programming enter the cable trunk system from the headend Many cable operators have some form of bidirectional operation signals that arrive from many points in the system back to the headend Cable operation in the reverse direction is usually in the 5 to 30 MHz reverse band, which is below the lowest television carrier in the forward direction, which is television channel 2 At the headend the signals are received, processed, and delivered to the appropriate destination Here the control of the cable system exists, hence the building housing the headend equipment should be closely environmentally controlled.

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Figure 5-17 A scorecard filtered to show data for just the product category of bikes Note that the column header was changed from Actual to Bikes, and a second target was added

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