Creating Analyses. This chapter describes how to create analyses in Oracle Business Intelligence Enterprise Edition, including how to specify the criteria for analyses, display the results, and examine the SQL statements. It also explains subject areas and columns, the double column feature, and variables. This chapter includes the following sections What Are Analyses An analysis is a query against an organizations data that provides answers to business questions. AMIS offers excellent affordable insurance programs covering Fire Suppression and Fire Sprinkler Contractors, Automatic Fire Sprinkler Contractors, Fire Extinguisher. DatabaseUSA. com Offers the Best Database of U. Pairs Game C Program more. S. Email Lists, Mailing Lists, Sales Leads, Database Services, Data Enhancement, Data Analytics. Micro Focus StarTeam manages change throughout the software development lifecycle while maintaining visibility and traceability of software assets. What Is A Suppression File In Email' title='What Is A Suppression File In Email' />A query contains the underlying SQL statements that are issued to the Oracle BI Server. Analyses let you explore and interact with information by visually presenting data in tables, graphs, pivot tables, and so on. You can save, organize, and share the results of analyses. Analyses that you create can be saved in the Oracle BI Presentation Catalog and integrated into any Oracle BI EE dashboard. Analyses can be enhanced through features such as graphs, result layout, calculated items, and drilling. This article explores prostitution and sex laws in Thailand, including gogo bars, saunas and other places of entertainment, and gives a brief analysis of these laws. TAC65. 22LR SUPPRESSOR Excellent Suppression, Easy To Clean 500200217 by Tactical Innovations Inc. The TAC65. 22LR suppressor continues to set the standard for. How Do I Work with Analyses To work with analyses, you use one of the following editors The Analysis editor A more complex editor that allows you to explore and interact with information by visually presenting data in tables, graphs, pivot tables, and so on. For more information, see What Is the Analysis EditorYou have access to this editor only if you have been granted the Access to Analysis privilege by the administrator. The BI Composer wizard A simple to use wizard that allows you to quickly and easily create, edit, or view analyses without the complexities of the Analysis editor. For more information, see Chapter 1. Using BI Composer to Work with Analyses. You have access to this editor only if you have been granted the Access to BI Composer privilege by the administrator. You specify which editor you want to use on the My Account dialog Preferences tab. However, if you have turned on accessibility mode either in the Sign In page or the My Account dialog Preferences tab, then the BI Composer wizard in accessibility mode is used as the analysis editor, regardless of your choice. How Are Analyses Processed When an analysis is processed, the request is sent in the form of logical SQL statements to the Oracle BI Server. The BI Server generates queries against the appropriate data sources. When the BI Server receives the query results, they are in a format that is not yet suitable for returning to the user. The BI Server merges the results and applies any additional calculations or filters that pertain to the results. The BI Server then sends the data to Oracle BI Presentation Services to format the results for display. Embedding an Analysis in a Dashboard. Embedding an analysis in a dashboard causes it to execute automatically and display the most current results every time the dashboard is accessed. This provides access to the most current results. For example, if you are a sales executive whose company captures sales data on a daily basis, then you might want to have the dollar volume of product that was sold today be displayed on the front page of your dashboard. You can embed saved analyses by using the Dashboard editor. For information about the Dashboard editor, see Adding Content to Dashboards. What Are Subject Areas and ColumnsA subject area contains folders, measure columns, attribute columns, hierarchical columns, and hierarchy levels that represent information about the areas of an organizations business or about groups of users with an organization. Subject areas usually have names that correspond to the types of information that they contain, such as Marketing Contracts, Service Requests, and Orders. A subject area corresponds to the presentation layer in an Oracle BI metadata repository. In a repository, the subject area is the highest level object in the presentation layer and represents the view of the data that end users see when they create or edit an analyses. Individuals who design and build metadata repositories such as a Business Intelligence strategist, metadata provider, or ETL developer create subject areas using the Oracle BI Administration Tool. Generally, rather than creating one large subject area for their companys data, they create multiple smaller subject areas. This enables them to provide a particular group of users or a particular area of a company with the most important data that they need in one small subject area and the less important data in one or more related subject areas created from the same business model layer. Having these smaller subject areas makes it easier for users to find the data they need. It also makes it easier to maintain the data. For more information, see Creating Subject Areas in Oracle Fusion Middleware Metadata Repository Builders Guide for Oracle Business Intelligence Enterprise Edition. Note The individuals who design and build metadata repositories can specify that a subject area, folder and its children, or column both attribute and hierarchical is to be hidden. A hidden subject area, folder, or column is not visible in the Subject Areas pane but is visible elsewhere, such as in an analysis or saved filter contents. Because the object is still visible elsewhere, hiding a subject area, folder, or column in this way is not a solution for security or access control. If the criteria of an existing analysis includes a subject area, folder, or column that is subsequently hidden, the analysis is still accessible but the subject area, folder, or column is no longer visible in the Subject Areas pane of the Analysis editor Criteria tab. Columns contain the individual pieces of data that an analysis returns. Columns usually have names that indicate the types of information that they contain, such as Account or Contact. Together with filters and selection steps, columns determine what data an analysis contains. When you create an analysis, filter, or dashboard prompt, you first select the subject area with which you want to work. This is known as the primary subject area and is displayed in the Subject Areas pane. If, as you work, you find that you need more data, you can add additional subjects areas that are related to the primary subject area that you have chosen. You can add related subject areas only if they are available for the primary subject area and only if you have permission to access them. Typically, when you query a single subject area, all the measure columns that are exposed in that subject area are compatible with all the attribute columns and hierarchical columns that are exposed in the same subject area. However, when you combine columns from multiple subject areas, you must ensure that you do not include combinations of measure columns with attribute columns and hierarchical columns that are incompatible with one another. For example, a measure column in one subject area might not be associated with the Project attribute column. If measure columns associated with the Project attribute column from another subject area are added to the analysis along with columns that are not associated with Project, then the query might fail to return results, or cause the BI Server error No fact table exists at the requested level of detail XXXX. For an analysis to return data, you must select at least one column to include in the analysis. What Are the Types of Columns Subject areas contain the following types of columns Attribute Column Holds a flat list of values that are also known as members. Fire suppression causes closure of Seeley Lake waters. MISSOULA, Mont. Montana officials are closing Seeley Lake so that crews can safely draw the water to fight a nearby fire. Fish, Wildlife and Parks officials said Tuesday the closure of the popular recreational spot for boaters and swimmers takes effect immediately. Residents near the fire burning north of the town of Seeley Lake have been put on evacuation notice. Town residents are also being told to prepare for a possible evacuation. Fires are burning to the east and west of Seeley Lake, which has created hazardous air quality levels in the area. Montana Fish, Wildlife and Parks sent out the following information. Montana Fish, Wildlife and Parks is closing all of Seeley Lake waters, effective immediately, for public safety while crews use the lake water to fight the Rice Ridge Fire. The closure applies to all recreation, such as boating, swimming, wading and fishing, so that aircraft crews can safely operate as they dip water from the lake. Officials say the closure will be in place until fire crews no longer need to use the lake for suppression efforts. Statistica 8 Software. For up to date information on this closure and restrictions related to drought and fire, visit fwp. FWP office in Missoula at 4.