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SQL generators can also pose a second kind of problem: often, they are able to generate queries that are not desired because the result is inaccurate For example, most business intelligence tools will happily generate a query that aggregates a semi-additive fact, such as a bank account balance, across an inappropriate dimension, such as days This may not be a concern if well-trained developers are using the tool but can have devastating effects if the tool is made available to novices In cases like these, derived schemas may again come to the rescue By making use of standard dimensional design techniques, it is often possible to provide a derived schema that avoids some of the potential dangers inherent in dimensional designs In the case of the semi-additive account balance, for example, a sliced fact table can be created that provides access only to the current period s balance.

Income, growth, total return, or speculation all financial investments fit into these categories. Income Stock Traditionally, income stocks are most often utilities, especially electrical utilities. They are usually conservative investments with steady streams of income, and are typically financially stable. Although there is always risk involved with common stock investing, income stocks should have some of the lowest risk. Sometimes they are colorfully referred to as the widow

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Novice users can be limited to this view of data While less flexible, it keeps them out of trouble Power users and developers can be provided access to the original fact table, and trusted not to sum the account balance across days Note that this particular solution may be achieved without actually building the derived star It can be implemented by creating database views, or even through the use of features of the business intelligence tool itself Regardless of its physical implementation, however, it establishes a derived star at the logical level Solutions like this often require that the data warehouse team recalibrate their expectations of the business intelligence tool It may be necessary to create multiple semantic layers one for the novices, who can view current account status, and one for the experts, who can view daily account status.

sion describes the current state of executive compensation and corporate governance: Excessive use of stock options particularly fixed price options was encouraged by the fact that fixed price options do not result in a charge to earnings, while they provide the added benefit of substantial tax deductions; The speculative nature of stock options led, in some cases, to their being undervalued by executives to whom they were granted, which in turn necessitated higher levels of grants; Board of directors became lax in performing their historical duty to monitor compensation;

This runs counter to the expectation that a single semantic layer should be created, providing a single view of the truth Establishment of multiple views of data, however, is consistent with this principle, as long as they are fully compatible with one another Conformed facts and dimensions guarantee a single view of the truth, even if they are available in more than one place..

and orphan stocks, meaning investments for people who can t afford to lose money Obviously, dividends are a priority when an investor s objective is income Dividend growth and dividend stability are likewise important Looking at the average annual growth of dividends over at least a five-year period can give the investor some idea of how much growth to expect in the future In order for a company to pay out dividends, the growth of revenues and income are important The primary sources of income can be a concern in some areas The Detroit area might have trouble if the automotive industry is in a slump The Silicon Valley area of California might have trouble when the computer industry is slow The source of income is a part of risk; more specifically, the risk of slower growth.

If you are going to rely on a product that generates SQL for any of your data warehouse reporting, understanding how the tool influences the range of possible queries will help you to ensure that the full analytic possibilities of the schema are realized, while minimizing the possibility of inaccurate results. There are several standard features of dimensional designs that may fall into either of these categories. Before exploring them in detail, however, it is useful to learn some basic do s and don ts surrounding the use of your business intelligence tool.

Business intelligence tools offer a tremendous variety of capabilities, all aimed at achieving a rich and valuable range of analytic options. Some of the things you can do with these tools, however, may be better done as part of the ETL process. These features may be useful in making up for shortcomings of existing designs, but when it comes to new dimensional designs, they are best avoided. There are also capabilities that should always be exploited when the opportunity affords it.

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