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User Object Benefits Users can implement, so it is flexible Server-based processing minimizes network traffic User Object Disadvantages Use of complex business SQL is a unique skill Unpredictable response times, as SQL is processed at query run time Objects cannot be shared with other users May require modification to the databaseprm file to access certain SQL functions Not centrally maintained, so increases risk of inconsistent business definitions and higher costs Not supported in Web Intelligence

Description The Trend Analysis Chart is a report that shows the history for a KPI It has the additional (and very powerful) option to use one of the SQL Server data mining algorithms to generate a forecast for that data so that predictions can be made about future values This template creates a reference to an existing web page It does not create a new web page on its own

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With robust calculations and formulas, Desktop Intelligence and Web Intelligence offers users the ability to overcome many limitations in SQL The number of functions in Web Intelligence XI Release 2 is double the number of functions supported in earlier versions of Web Intelligence Users are familiar with formulas from spreadsheets and are comfortable building some quite powerful ones within the Web Intelligence documents In some cases, users may have no choice but to create a formula in a report for the following reasons: It s an individual reporting need The intelligence cannot be built with SQL It s immediate and avoids the politics that accompany other alternatives If the report really is for individual use and the formula is not a common business one, then the intelligence does indeed belong in a report However, too often I see report-based calculations that were built there simply because there was little dialogue between the universe designer and end users

A large company I consulted with wanted to implement unit testing into their process, beginning with a pilot project. The pilot consisted of a group of developers adding a new feature to a large existing application. The company s main livelihood was in creating this large billing application and customizing parts of it for various clients. The company had thousands of developers around the world. The following measures were taken to test the pilot s success: The time the team took for each of the development stages The overall time for the project to be released to the client The number of bugs found by the client after the release The same statistics were collected for a similar feature created by a different team for a different client. The two features were nearly the same size, and the teams were roughly at the same skill and experience level. Both tasks were customization efforts one with unit tests, the other without. Table 8.1 shows the differences in time.

SQL does have limitations OLAP database vendors often emphasize their solutions as a way to overcome a number of limitations of SQL (forward calculations, time period

Part II:

versus point in time, and so on) However, IBM, Oracle, and Teradata in recent years have provided a number of SQL extensions that make SQL more robust SQL Server 2005 reportedly will also have more analytic capabilities Forward calculations such as rankings and percent market share are now possible with SQL But clearly, not everyone is on the most current database releases and not all intelligence can be solved with SQL; this is where many BI vendors have excelled BusinessObjects XI in particular contains a number of formula functions that do not have a SQL equivalent Variance Percentage (VarP), Percentile, and RunningSum are just a few Long before database vendors added analytic functions to SQL, BusinessObjects offered a percent of sum calculation, as well as Rank and various running aggregate functions Recall the particular problems that variance and ratio calculations can cause; the calculation order is very important to get the correct answer With report formulas, users control the calculation order either by specifically inserting a formula at each break level or with Calculation Context Operators (explained in detail in 22) To use the earlier example of the variance between C_YTD and L_YTD, look how the percent variance is correctly calculated,

Table 5-1

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