Abstract: A method/system considers the phenomenon of slowly changing dimensions in the process of reporting on facts of a collection of facts organized as, or otherwise accessible according to, a dimensionally-modeled fact collection. A report query specifies a temporal mode, and the specified temporal mode is processed to determine a time extent descriptor (e.g., in view of at least one of a context, in which the report query is made, and at least one dimension coordinate constraint). A processed result of querying the dimensionally-modeled fact collection includes appropriate indications of dimension coordinates in view of the time information from the time extent descriptor.

Abstract: A method of routing a received incipient transaction to an organization entity includes processing experiential data of a fact collection regarding past transactions, including processing experiential data regarding past transactions involving an initiator of the incipient transaction and experiential data regarding transactions handled by organizational entities. At least one routing rule is evaluated in view of the experiential data processing, to make a routing determination. The incipient transaction is routed, for completion, to one of the organizational entities based on the routing determination. Furthermore, experiential data regarding completion of the incipient transaction, may be fed back to the fact collection.

Abstract: A method includes processing a performance query to a dimensional data model by processing dimension coordinates that exist within the dimensional data model, wherein the dimension coordinates have a first particular grain (“finer grain”) that is finer than a second particular grain (“coarser grain”), the method to determine an evaluative score for a particular finer grain value based on performance facts for dimension coordinates associated with the particular finer grain value. Performance parameters are determined relative to a particular coarser grain value, against which to measure the performance facts associated with the finer grain value, including processing the temporal relationships of finer grain values to coarser grain values for the dimension coordinates. The evaluative score is determined for the particular finer grain value based on performance facts of dimension coordinates having the particular finer grain value, in view of the determined performance parameters.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: Each of a plurality of dimension coordinates corresponding to a report query has a finer grain and a coarser grain. A subset of the dimension coordinates are dimension coordinates for which there is ambiguity as to what coarser grain value should be associated with the finer grain value. For every unique finer grain value of the dimension coordinates of the subset, it is determined what coarser grain value to associate with all dimension coordinates of the subset having that finer grain value. The determined coarser grain value is the coarser grain value of one of the dimension coordinates, of the subset, having that finer grain value. For each of the dimension coordinates of the plurality of dimension coordinates not in the subset, the coarser grain value associated with that dimension coordinate is the coarser grain value of that dimension coordinate. A report is generated in view of the plurality of dimension coordinates and their associated coarser grain values.

Abstract: A method includes processing a performance query to a dimensional data model by processing dimension coordinates that exist within the dimensional data model, wherein the dimension coordinates have a first particular grain (“finer grain”) that is finer than a second particular grain (“coarser grain”), the method to determine an evaluative score for a particular finer grain value based on performance facts for dimension coordinates associated with the particular finer grain value. Performance parameters are determined relative to a particular coarser grain value, against which to measure the performance facts associated with the finer grain value, including processing the temporal relationships of finer grain values to coarser grain values for the dimension coordinates. The evaluative score is determined for the particular finer grain value based on performance facts of dimension coordinates having the particular finer grain value, in view of the determined performance parameters.

Abstract: Each of a plurality of dimension coordinates corresponding to a report query has a finer grain and a coarser grain. A subset of the dimension coordinates are dimension coordinates for which there is ambiguity as to what coarser grain value should be associated with the finer grain value. For every unique finer grain value of the dimension coordinates of the subset, it is determined what coarser grain value to associate with all dimension coordinates of the subset having that finer grain value. The determined coarser grain value is the coarser grain value of one of the dimension coordinates, of the subset, having that finer grain value. For each of the dimension coordinates of the plurality of dimension coordinates not in the subset, the coarser grain value associated with that dimension coordinate is the coarser grain value of that dimension coordinate. A report is generated in view of the plurality of dimension coordinates and their associated coarser grain values.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: A method includes processing a performance query to a dimensional data model by processing dimension coordinates that exist within the dimensional data model, wherein the dimension coordinates have a first particular grain (“finer grain”) that is finer than a second particular grain (“coarser grain”), the method to determine an evaluative score for a particular finer grain value based on performance facts for dimension coordinates associated with the particular finer grain value. Performance parameters are determined relative to a particular coarser grain value, against which to measure the performance facts associated with the finer grain value, including processing the temporal relationships of finer grain values to coarser grain values for the dimension coordinates. The evaluative score is determined for the particular finer grain value based on performance facts of dimension coordinates having the particular finer grain value, in view of the determined performance parameters.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: A method of routing a received incipient transaction to an organization entity includes processing experiential data of a fact collection regarding past transactions, including processing experiential data regarding past transactions involving an initiator of the incipient transaction and experiential data regarding transactions handled by organizational entities. At least one routing rule is evaluated in view of the experiential data processing, to make a routing determination. The incipient transaction is routed, for completion, to one of the organizational entities based on the routing determination. Furthermore, experiential data regarding completion of the incipient transaction, may be fed back to the fact collection.

Abstract: A method includes processing a performance query to a dimensional data model by processing dimension coordinates that exist within the dimensional data model, wherein the dimension coordinates have a first particular grain (“finer grain”) that is finer than a second particular grain (“coarser grain”), the method to determine an evaluative score for a particular finer grain value based on performance facts for dimension coordinates associated with the particular finer grain value. Performance parameters are determined relative to a particular coarser grain value, against which to measure the performance facts associated with the finer grain value, including processing the temporal relationships of finer grain values to coarser grain values for the dimension coordinates. The evaluative score is determined for the particular finer grain value based on performance facts of dimension coordinates having the particular finer grain value, in view of the determined performance parameters.

Abstract: Each of a plurality of dimension coordinates corresponding to a report query has a finer grain and a coarser grain. A subset of the dimension coordinates are dimension coordinates for which there is ambiguity as to what coarser grain value should be associated with the finer grain value. For every unique finer grain value of the dimension coordinates of the subset, it is determined what coarser grain value to associate with all dimension coordinates of the subset having that finer grain value. The determined coarser grain value is the coarser grain value of one of the dimension coordinates, of the subset, having that finer grain value. For each of the dimension coordinates of the plurality of dimension coordinates not in the subset, the coarser grain value associated with that dimension coordinate is the coarser grain value of that dimension coordinate. A report is generated in view of the plurality of dimension coordinates and their associated coarser grain values.

Abstract: A received report query specifies a dimension coordinate constraint and an associated grain for the dimension coordinate constraint. At least one query is generated to the dimensionally-modeled fact collection. A result of providing the at least one query to the dimensionally-modeled fact collection is processed. The processed result includes an indication of every dimension coordinate satisfying the dimension coordinate constraint and having a particular value at the associated grain, and the processed result further includes facts of the dimensionally-modeled fact collection that are specified by at least one other dimension coordinate indicated by the processed result having the particular value at the associated grain and not satisfying the dimension coordinate constraint.

Abstract: A method/system considers the phenomenon of slowly changing dimensions in the process of reporting on facts of a collection of facts organized as, or otherwise accessible according to, a dimensionally-modeled fact collection. A report query specifies a temporal mode, and the specified temporal mode is processed to determine a time extent descriptor (e.g., in view of at least one of a context, in which the report query is made, and at least one dimension coordinate constraint). A processed result of querying the dimensionally-modeled fact collection includes appropriate indications of dimension coordinates in view of the time information from the time extent descriptor.

Abstract: A system and method for counting objects or parts on a continuously moving conveyor, or other elongated surface, provides a camera and associated machine vision system that acquire/capture and analyze multiple, successive fields of view taken within an area of interest defined by the system. Each of the fields of view includes flanking right and left overlap zones with respect to adjacent fields of view. The overlap zones are defined to be at least as wide as the maximum width of a part being counted. The captured fields of view are stored within the system and analyzed in succession based upon a set of rules. These rules determine whether or not a particular part within the subject field of view is to be counted. More specifically, the rules are applied within the overlap zones for each field of view to determine whether or not to count the part.