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go very far Then, in 1972, the Accounting Principles Board (APB) the predecessor to the Financial Accounting Standards Board (FASB) issued its Opinion Number 25 (APB 25) Under APB 25 options were treated as essentially free, meaning they did not have to be expensed on a company s income statement as long as they met certain criteria, such as having a fixed exercise price and a fixed number of shares Interestingly, in 1973, Myron Scholes, who would later win the Nobel Prize in economics for his work, and Fischer Black jointly published the Black-Scholes model for valuing options While the model is widely known as Black-Scholes, Robert Merton also was instrumental in its development and shared the Nobel Prize for it with Scholes after Black s death Before Black-Scholes there was no readily available methodology for valuing options Today BlackScholes and its variants are the most widely used valuation models.

To do so will provide products that are on promotion for the day in question, but the user may be looking to see what products were sold on the day in question Without the ability to prompt the user or default to a particular path, the SQL generator can only guess as to what is intended Even if a tool is able to prompt users, the result may be confusing The alternative, once again, is to provide distinct options through separate semantic layers: one for promotions and one for orders Many warehouse teams prefer this kind of arrangement because it eliminates any ambiguity for users or novice report developers A derived fact table can be created for any process that will benefit from comparison of the promotions and orders.

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Over the long haul, this company has posted results that are about average for its industry. Note that the company s net profit margins another key profitability measure have been average compared with other companies in its industry.

This is particularly useful with factless fact tables that describe conditions, since comparing them to other fact tables normally involves set operations or subqueries, as described in 12 These queries are hard to specify or generate, and may run slowly A derived table is the ideal solution..

Another potential complication occurs when there is more than one way that people might want to compare the same two processes As with the factless query, a given set of attributes can be related in multiple ways Even a tool that can drill across cannot be expected to infer what a user wants Separate merged fact tables can be built for each flavor or comparison, or multiple semantic layers can be constructed for the different forms of comparison In Figure 16-3, there are two dates associated with each shipment: the date of the shipment, and the date of the order being fulfilled Either may be used to compare shipments with orders One option compares orders by order date with shipments by shipment date This gives an overview of all activities that occurred on each day.

The publication of Black-Scholes in 1973 also coincided with the founding of the Chicago Board Options Exchange (CBOE), which today is the world s largest options exchange Before 1973 options were traded on an unregulated basis Of course options granted as part of compensation and incentive packages are not tradable Still the founding of a fair and orderly marketplace for options underscored what was then a new concept: options had an understood and quantifiable value Over the next two decades stock options grew in popularity and usage as part of compensation packages As a result the FASB began a campaign in the 1980s requiring them to be expensed Moving into the 1990s the FASB became more earnest in its quest.

The other option compares orders by order date with shipments by order date (rather than shipment date) This gives an overview of the fulfillment status of orders placed each day The queries to answer these questions involve exactly the same columns of the dimensional schema, but they are constructed in different ways: In the former case, drilling across requires querying quantity_ordered by order date and quantity_shipped by shipment date These intermediate result sets are then merged based on dates In the latter case, drilling across requires querying quantity_ordered by order date and quantity_shipped by order date These intermediate result sets are then merged based on dates If the user brings date, quantity_ordered, and quantity_shipped to the canvas, a business intelligence tool does not have enough information to choose among these options.

Stock analysis can be much more thorough than this, depending on how deeply the investor wants to dig into a company s financial situation. Debt, new projects, and future sources of revenue can also be examined.

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