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the thankless job of Secretary-Treasurer, keeping the records, informing the gang, and filing and paying taxes each year I got the easy job of managing

Users learn to use Answers quickly Users work entirely with understandable models of information completely expressed in business terminology The Answers user begins by choosing a subject area such as Marketing, Sales, or Inventory by selecting a folder within Answers See Figure 5-2 Upon selecting a specific subject area, the user sees within the folder a set of semantic business objects that define the business terms against which the user can define calculations or analysis For instance, if a user chooses Sales as a topic, he or she may find items such as Gross Revenue, Net Revenue, Net Revenue Percentage Change vs Last Year, or Net Revenue Rank A specific business term can be selected through a simple point and click to become columns in an analysis Selecting objects named Region, Revenue, and Current Month creates a calculation such as Show me the revenue for each region during the current month As the user selects business terms or columns, Oracle Answers builds a query This query is referred to as logical SQL, since it expresses the logical content of the request This logical query will be sent to the Oracle BI Server, which will interpret the logical query and create subsequent physical queries to the underlying data sources where the data is stored

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Oracle BI Answers offers the following features: Data storage independence Oracle BI Answers eliminates the need for users to understand physical data storage in what table is the revenue for the current month stored, for instance Measures can be selected with a single click even if the information is stored in two separate physical databases Oracle Answers eliminates the need for users to understand business rules, for instance, how revenue is calculated Powerful visualization facilities Oracle BI Answers enables users to view data in several ways tables, charts, or pivoted tables and to combine multiple views in a compound view After saving the analysis, users click to the dashboard editor to embed the views in dashboard pages

Sharing analysis online Analyses, once constructed, can be saved for personal use or published for use by a wider audience Unlike the report templates of other products, saved analyses can be modified without limit Saved analysis Measures, descriptive attributes, filters, sorting patterns, subtotals, charts, and pivot table views can be added, deleted, or changed After a user makes all the changes, he or she can save the new analysis and share it with a group of users Powerful ad hoc analysis Since the analytic process is often iterative select measures, add filters, examine results, add new columns, change filters, delete columns, and so on Oracle BI Answers does not impose a prescribed order in which calculations are defined such as measures first, attributes second, and filters third Personalization Oracle BI Answers automatically filters and personalizes information for a user based on the user s identity or role With other products, role-specific personalization requires database administrators to define, create, and populate extra tables and views called permission tables that define data-level filters Oracle Answers personalizes information without relying on joins to permission tables; minimizes database changes; and makes queries run more efficiently (joins to permissions tables can be expensive)

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Oracle BI Answers eliminates the need for business users to understand physical data storage and enables them to combine data from multiple enterprise information sources quickly and easily The following list describes some of the key features of Oracle Answers in this area: Combining structured data from multiple sources Oracle BI Answers allows users to combine data from multiple applications or databases in a single calculation For instance, to compare sales forecasts, quotas, and actual revenue to accurately predict revenue growth, a business user may need to combine data from three sources the forecasting system, the sales system, and the general ledger Combining relational and OLAP data sources Oracle BI Answers also allows users to combine data from a relational system and an OLAP source in a single calculation For instance, it s possible to compare sales forecasts from an Oracle CRM system with revenue data from a SAP BI/DW warehouse

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