Abstract: A method of enabling collaboration between users of a collaborative Business Intelligence (BI) system comprising pages based on said BI system data, comprising: displaying a page comprising a view of at least one online analytical processing (OLAP) cube to one of a plurality of users of a BI system; deducing from semantics of said at least one OLAP cube a relevancy of each of at least some of said plurality of users for a collaboration session with said user; selecting the most relevant users from said plurality of users for said displayed page according to said deduced relevancy; and initiating a collaboration session with at least one of said most relevant users.

Abstract: A method and system for automatically defining and applying an exception rule to reports created from at least one multi-dimensional database, comprising: defining global exception parameters, displaying at least one report created from a multi-dimensional database, receiving a user command to detect exceptional cells in the displayed report, locating the most relevant time dimension in the semantics of the source database of the report, detecting exceptional cells in the displayed report according to the exception parameters and the most relevant time dimension, calculating an exception quality for each detected exceptional cell, and indicating on the displayed report the exceptional cells, the indication comprising differentiating between different exception qualities, wherein the exception rule is independent of data granularity in the time dimension in the report.

Abstract: A collaborative Business Intelligence (BI) system comprising pages based on said BI system data, comprising a collaboration platform having means for selecting most relevant users and most relevant pages and means for enabling collaboration between users,

Abstract: A method and system for automatically defining and applying an exception rule to reports created from at least one multi-dimensional database, comprising: defining global exception parameters, displaying at least one report created from a multi-dimensional database, receiving a user command to detect exceptional cells in the displayed report, locating the most relevant time dimension in the semantics of the source database of the report, detecting exceptional cells in the displayed report according to the exception parameters and the most relevant time dimension, calculating an exception quality for each detected exceptional cell, and indicating on the displayed report the exceptional cells, the indication comprising differentiating between different exception qualities, wherein the exception rule is independent of data granularity in the time dimension in the report.

Abstract: A computerized Cause and Effect exception analysis mechanism for multi-dimensional data, comprising: displaying a business report comprising data cells, each data cell pertaining to coordinates of one row and one column representing dimensions of the report, marking one or more of the displayed cells as exceptions according to an exception rule, receiving a selection of one or more of the marked cells, defining the coordinates of the selected cells as fixed coordinates, displaying a list of dimensions, receiving a selection of one or more dimensions from the displayed list, receiving a number N of reports to be displayed, compiling a list of combinations of the selected dimensions, slicing each combination in the list by the fixed coordinates, applying the exception rule to the sliced combinations, prioritizing the sliced combinations, selecting the N highest priority combinations, creating reports for the N selected combinations, and displaying the N created reports, each displayed report comprising at least