Figure 11-2 Sample exception report in .NET framework

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Figure 11-2 Sample exception report
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11
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AD HOC REPORTS
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The term ad hoc report has different meanings depending upon who you ask Typically, those with technical backgrounds tend to think that ad hoc means you start with a blank slate and build a report from scratch and then run it to get your results When most business people ask for ad hoc reporting, they really want parameter-driven reports Be sure to clarify what is really needed when someone asks for ad hoc reporting
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Other BI Capabilities
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Beyond creating reports, additional functions are included as part of BI Some of the capabilities that fall under the BI umbrella include the following: Comparisons (actual sales vs forecasted sales) Ranking (top/bottom n, top/bottom n%) Totals and subtotals Time series comparisons (this week vs same week one year ago) Ratios and penetration (market share-product sales as a percentage of the total category sales for this market) Exception processing to highlight conditions or limit the results included on the report Exception processing includes the following: Top n, bottom n (by % too) Thresholds % contribution of what is included in the report % contribution to the whole data set, not limited to what is included on the report These are used to help glean insight from the data
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Complex Analysis
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Complex analysis can also be produced with a business intelligence application This is where more sophisticated business logic, statistical analysis, or data mining is performed on the data to produce the nal results For example, the seasonally adjusted sales may be presented with baseline sales differentiated from promoted sales This is not an exhaustive list of BI capabilities but a quick overview Many more variations are possible to produce results This is intended to give you a basic idea of the range of things that are possible In addition, note that not
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Part IV
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everyone uses the terms discussed here in exactly the same way Sometimes the BI labels are used because they align with the name of the software module used to create the reports Sometimes the terms are rooted in how your organization has historically delivered data It really does not matter whose terms are used, but it is important for everyone on the project team and, it is hoped, across the organization to use these terms in a consistent manner
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When you use a BI solution you tap into several different layers These different layers are created to enable exibility and the sharing of components across many reports and applications When using a BI solution, you generally are not aware of these layers or how they work together It is useful to discuss them here because it will help the entire team to have more meaningful discussions when re ning requirements and developing the applications for the DW
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Data Content Understanding What You Have
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The foundation of any BI solution is the data itself All of the data must have useful business names and descriptions, rather than technical names used by the database There are two parts of de ning the data content First, the data itself must be set up so that it can be used to create and navigate through the BI reports and other display mechanisms This is where the Business Dimensional Model described in 7 is used again Each of the business attributes for each business dimension must be de ned to the BI tool This entails linking the business data element to the physical data element in the database Additionally, the BI tool needs any relationships between each of the attributes to be de ned This is how the BI tool knows what to drill down to when asked The labels that are set up here are what show up on reports and as labels for setting parameters This is setting up the BI tool to present what is de ned in the Business Dimensional Model as discussed in 7 Second, the actual business measures that appear as the body of the reports must be de ned This work will use the Business Measures Worksheet described in 7 Think of this as setting up a library of all of the business measures that will be used These may be basic facts, key performance indicators, or other business metrics Each should have a descriptive name and a business description, and each should de ne the default handling of this measure for rolling the results up This is also called the default aggregation rule For sales units, for example, the default is usually to perform a sum For an average price measure, the default aggregation rule should be to sum the dollar sales divided by the sum of the units sold, rather than the average of the average price itself
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