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A dimension bridge table allows a fact table to be associated with more than one row in a dimension table. This allows modeling of a multi-valued dimension one that can take on more than one value for a given fact. The technique is very flexible, allowing an indefinite number of dimension instances to be associated with each fact. This permits the development of impact reports, which associate the same fact with each member of the dimension. The bridge table sales_goup, at the top of Figure 16-9, permits any number of salesreps to be associated with each order. A group_key is assigned for each collaboration, and rows are added to the sales_group table for each salesrep who contributed. This allows the fact table to carry a single group_key, regardless of the number of salespeople involved. When the sum of order_dollars is grouped by salesperson_name, the value will be repeated for each salesrep who participated in the sale. This kind of report illustrates the involvement of each salesrep in the orders process. It is known as an impact report, since it would not be accurate to create a grand total from the results. Proper use of the bridge table avoids aggregating the fact across members of the group. There are three ways to avoid doing so: 1. Group results by dimension rows (generally with the natural key) 2. Constrain the query for a single member of the dimension (again using a natural key) 3. Constrain the query to isolate a single member of each group

Growth stock objectives should be evaluated at least annually, but they can also be evaluated quarterly or even monthly. A caution with monthly evaluations: Don t overreact and sell out too soon.

SALES_GROUP sales_group_key salesrep_key primary_flag SALESREP salesrep_key salesperson_name region . . .

While the board maintained its position that options should be expensed, FAS 123 said that options could be expensed If they weren t expensed (and the vast majority of companies did not opt to expense them), then they had to be disclosed in footnotes to the company s financial statements The FASB s own statement about FAS 123 has a note of what, at least in hindsight, sounds like defeat: The board chose a disclosure-based solution for stock-based employee compensation to.

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Expert Configuration Able to produce an impact report Double-counting is possible Novice Configuration Limited to single salesrep per order Avoids possibility of double-counting View: Primary Salesrep ORDER_FACTS day_key product_key customer_key sales_group_key . . . order_dollars . . . SALES_GROUP sales_group_key salesrep_key primary_flag WHERE primary_flag = 'Primary Salesrep' SALESREP salesrep_key salesperson_name region . . .

Total return stocks are dividend-paying stocks that also have good price growth. The focus is usually on industry leaders, the stalwarts that also pay out dividends. These would include the so-called blue-chip stocks like General Electric, 3M, and IBM. They are considered lower-risk stocks because they are well-established companies and because every time a dividend is paid out, the risk is lowered by the amount of each dividend. Analysis of total return stocks is similar to the analysis for growth stocks, but it will obviously include dividends and dividend growth. The objective statement needs to include both price and dividend growth. Total return objectives can be evaluated annually, quarterly, or monthly just be careful with sell decisions. Don t sell out too quickly when the market declines. Often that is the best time to buy more stock.

Figure 16-9

In the case of multiple salesreps, the first option can be achieved by grouping the result by salesperson_name. Care must also be taken not to create a grand total with the results, since this would result in a double-count. The second option can be achieved by filtering the query for a single salesrep. The natural key is the best way to accomplish this, but it is also possible to use the salesperson s name. It is not sufficient to constrain on other attributes of salesrep, such as department, since this will select more than one individual. The last option filters the group table for rows where primary_flag contains the value Primary Salesrep. For this to work, every group must have exactly one salesrep flagged as the primary salesrep. This handful of rules may be easy for an experienced developer to follow, but is very likely to be unintelligible to a novice developer, let alone an end user. If steps such as these are not taken, the result can be disastrous. In the example, it can mean a dramatic overstatement of order_dollars. Configuring a business intelligence tool will require preventing users from making such a mistake.

bring closure to the divisive debate on this issue not because it believes that solution is the best way to improve financial accounting and reporting. 9

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