Abstract: A method and a system for analyzing a data value of interest in a multidimensional database. The data value of interest is first identified in a structured report. The data source for the structured report is retrieved. A context for the data value of interest in the data source is collected, for example, by extracting a slicer from the structured report, by extracting members of master-detail pages, or by extracting a default measure from the structured report. An analysis specification based on the collected context is then built, and the data value of interest is analyzed using the analysis specification. The result from analyzing the data value of interest may be presented in an analysis view.

Abstract: Method and system for determining a driving factor for a data value of interest in a multidimensional database, by collecting a context for the data value of interest in the multidimensional database. The data value of interest has dimensional levels with dimensional members outside the drill path of the data value of interest. The dimensional levels are enumerated in a list. A query using the dimensional members of the dimensional level is executed. A variance is calculated for the set of query results. A driving factor for the data value of interest is determined based on the variance. The driving factor is added to the context of the data value of interest.

Abstract: A method and a system for analyzing a data value of interest in a multidimensional database. The data value of interest is first identified in a structured report. The data source for the structured report is retrieved. A context for the data value of interest in the data source is collected, for example, by extracting a slicer from the structured report, by extracting members of master-detail pages, or by extracting a default measure from the structured report. An analysis specification based on the collected context is then built, and the data value of interest is analyzed using the analysis specification. The result from analyzing the data value of interest may be presented in an analysis view.

Abstract: A segmentation management system manages segmentation of a set of members in a multi-dimensionally modeled data source. The segmentation management system comprises a segment definition manager, a segmentation engine and a segment application manager. The segment definition manager manages definitions of identifiable non-overlapping segments for a given base set of members in a multi-dimensionally modeled data source. The segmentation engine divides the base set of members into the segments based on the definitions of the segments. The segment application manager allows the segments to be used as objects.

Abstract: A method and a system for analyzing a data value of interest in a multidimensional database. The data value of interest is first identified in a structured report. The data source for the structured report is retrieved. A context for the data value of interest in the data source is collected, for example, by extracting a slicer from the structured report, by extracting members of master-detail pages, or by extracting a default measure from the structured report. An analysis specification based on the collected context is then built, and the data value of interest is analyzed using the analysis specification. The result from analyzing the data value of interest may be presented in an analysis view.

Abstract: A segmentation management system manages segmentation of a set of members in a multi-dimensionally modeled data source. The segmentation management system comprises a segment definition manager, a segmentation engine and a segment application manager. The segment definition manager manages definitions of identifiable non-overlapping segments for a given base set of members in a multi-dimensionally modeled data source. The segmentation engine divides the base set of members into the segments based on the definitions of the segments. The segment application manager allows the segments to be used as objects.

Abstract: Method and system for determining a driving factor for a data value of interest in a multidimensional database, by collecting a context for the data value of interest in the multidimensional database. The data value of interest has dimensional levels with dimensional members outside the drill path of the data value of interest. The dimensional levels are enumerated in a list. A query using the dimensional members of the dimensional level is executed. A variance is calculated for the set of query results. A driving factor for the data value of interest is determined based on the variance. The driving factor is added to the context of the data value of interest.