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I confess I am biased: I prefer to put as much intelligence as possible in the universe Of course there are exceptions, but let s start with the arguments for the universe Intelligence in the universe offers much more flexibility than either an OLAP database or a relational table When you add or modify an object, there is no need to restructure and recalculate a cube; there is no need to modify load routines and rebuild a table The universe does not require the additional disk space that either OLAP databases or RDBMS tables require Because the universe is centralized, it enforces consistent business definitions Further, as shown in Figure 14-1, the processing is done on the database server, thus minimizing the impact on the network or BusinessObjects Enterprise servers that user report formulas can overload The universe allows partial control of the calculation order, necessary for ratios and variance analysis, something relational tables cannot offer in an ad hoc reporting environment In the preceding example, you cannot aggregate the variance stored in a
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Design Principles: Where to Put the Intelligence
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relational table or you get incorrect results Within the universe, one uses the following syntax to control the calculation order:
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(sum(C_YTD)-sum(L_YTD)) /sum(L_YTD)
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Alternatively, with databases that support newer SQL analytic functions, you can calculate ratios as
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RATIO_TO_REPORT(sum(SHSALESAMOUNT_SOLD)) OVER ( )
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As users build queries that analyze the percent variance by different dimensions (product, time, geography), the variance for each row returned is always recalculated with the correct numerator and denominator Problems may arise when users add breaks and subtotals within a report, but this can easily be corrected with report formulas Intelligence in the universe also does not necessarily require an overworked/understaffed IT department to implement New intelligence can be added quickly, as is critical in a changing business environment Responsiveness and flexibility are the two main reasons I am biased toward building intelligence into the universe If the BI deployment cannot respond as quickly as the business requirements change, it will be less successful Requirements change not simply because users overlooked something, but more often because they discovered a new or better way to explore information Did anyone want to link click stream analysis with brick-and-mortar store sales before 1997 No The majority of companies put control of the universe in the hands of IT This can be for the good, as IT staff have the skills to understand relationships between tables, joins, and index issues They also can write complex SQL
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PART II
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NOTE Programmers and DBAs certified in SQL are not necessarily adept at SQL for business
reporting; this is often a unique and hard-to-find skill set However, unless the IT department has a close relationship with the business and an understanding of business reporting requirements, they may miss opportunities to add intelligence to the universe Users do not know SQL and do not know what objects can be built with SQL; IT knows SQL but may not realize that the business would benefit from measures such as number of customers (COUNT function), number of late orders (COUNT and DAYS_BETWEEN functions), variance analysis ((SUM1 SUM2)/SUM2), and so on Further, a recurring complaint about IT maintaining the universe is lack of flexibility Users want something, and IT is either too busy to implement it or wants to keep the universe general This is when it makes sense to allow individual functions or business units to build and maintain their own universes IT should still quality-assure these universes (see 16, under Quality Assurance Check List ), but it may be easier to teach a power user how to build a universe than to get IT resources to build the universe the way the business wants When a universe designer fails to build enough intelligence into the universe to satisfy the common business needs, end users are forced to create their own objects or to build the intelligence in the report This approach may be fine for individual needs, but it can be a disaster for reports that are widely shared, as it can significantly increase maintenance costs and the risk of inconsistent business definitions While current Sarbanes-Oxley compliance efforts seem focused on ensuring the integrity of information on the data capture side, I
Part II:
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