Abstract: A computer readable medium includes executable instructions to form a report; process trust values, where each trust value characterizes the accuracy of an attribute of the report; combine trust values to provide an aggregate trust value associated with the report; and supply a user with the report and the aggregate trust value.

Abstract: A system and a method for creating an analytical report on top of a multidimensional data model built on top of a relational or multidimensional database. The database operates in a computer system and provides returned values responsive to queries. Such a query is generated automatically and is deduced from a report definition. According to one embodiment, a report specification is used by the system and method of the present invention is able to defer the initial query of the data source, as is the case with conventional reporting tools and methods, until after the report has been defined. That is, the manner in which a analytic report is defined provides for an automatically generated query. Once the report has been defined, the data to populate such a report is retrieved to build the document.

Abstract: A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method.

Abstract: A computer readable medium, system, apparatus and method are disclosed for generating and regenerating query results in reports whereby conditions for filtering a query against multilingual databases are preserved independent of language and/or locale. According to one embodiment of the present invention, a computer readable medium includes executable instructions to specify a language-dependent value for filtering query results during a query. Other executable instructions are included to associate a first locale to the language-dependent value, determine a key based on the language-dependent value and on the first locale, and generate a transformed query, which can include a locale variable configured to indicate a second locale for regenerating the query results to form regenerated query results for the second locale using another language-dependent value.

Abstract: A computer-readable medium includes a report generator configured to process a current version of a data set to generate a report including a data item. The computer-readable medium also includes a report data change tracker configured to identify a change in the data item with respect to a previous version of the data set. The computer-readable medium further includes a report data change presenter configured to superimpose an indication of the change onto the report.

Abstract: An analytical reporting functionality provides full-fledged dynamic reporting capabilities on top of a multidimensional data model. A GUI facilitates replicating the same reporting data for various elements of a dimension. Additionally, direct interaction with the report to perform OLAP-style is enabled.

Abstract: A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method.

Abstract: An analytical reporting functionality provides full-fledged dynamic reporting capabilities on top of a multidimensional data model. A GUI facilitates replicating the same reporting data for various elements of a dimension. Additionally, direct interaction with the report to perform OLAP-style is enabled.

Abstract: A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method.

Abstract: A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method.

Abstract: An analytical reporting functionality provides full-fledged dynamic reporting capabilities on top of a multidimensional data model. A GUI facilitates replicating the same reporting data for various elements of a dimension. Additionally, direct interaction with the report to perform OLAP-style is enabled.