Abstract: A machine implemented method for collecting business intelligence data including providing a master database table on a computer readable medium and accessible by an analytics server, accessing rows in the master database table by the analytics server, with each row in the master database table containing at least a partial set of measures for a plurality of dimensions, identifying by the analytics server a set of one or more dimensions from the plurality of dimensions subject to a query by one or more computing devices in communication with the analytics server, extracting the set of one or more dimensions and associated measures for each of the one or more dimensions from the master database table, and forming a baby fact table such that each row in the baby fact table contains the set of one or more dimensions subject to the query and the associated measures derived from the extracting step.

Abstract: A computer implemented method for data mining and providing business intelligence data including generating by an analytics server one or more dimensions from source data imported from a computer readable medium, wherein the one or more dimensions define categories into which portions of the normalized data can be grouped; generating by the analytics server one or more measures from the source data linked to the one or more dimensions; storing by the analytics server the one or more dimensions and the one or more measures in a plurality of tables arranged in one of a snowflake and a star schema; determining by the analytics server relationship information between one or more measures and one or more dimensions in each of the plurality of tables; storing by the analytics server the relationship information on the computer readable medium; calculating by the analytics server a total cost of at least one product based on the relationship information; and, querying by a computer system in communication with the a

Abstract: A machine implemented method for accelerating access to business intelligence data including providing a master database table on a computer readable medium and accessible by an analytics server, accessing rows in the master database table by the analytics server, with each row in the master database table containing at least a partial set of measures for a plurality of dimensions, identifying by the analytics server a set of one or more dimensions from the plurality of dimensions subject to a query by one or more computing devices in communication with the analytics server, extracting the set of one or more dimensions and associated measures for each of the one or more dimensions from the master database table, and forming a baby fact table such that each row in the baby fact table contains the set of one or more dimensions subject to the query and the associated measures derived from the extracting step.

Abstract: A machine implemented method for accelerating access to business intelligence data including providing a master database table on a computer readable medium and accessible by an analytics server, accessing rows in the master database table by the analytics server, with each row in the master database table containing at least a partial set of measures for a plurality of dimensions, identifying by the analytics server a set of one or more dimensions from the plurality of dimensions subject to a query by one or more computing devices in communication with the analytics server, extracting the set of one or more dimensions and associated measures for each of the one or more dimensions from the master database table, and forming a baby fact table such that each row in the baby fact table contains the set of one or more dimensions subject to the query and the associated measures derived from the extracting step.

Abstract: A system for data mining and providing business intelligence data including a source system having a computer readable database storing data aggregated from one or more data sources, and an analytics server in communication with the source system and including a computer readable medium having an intermediate data file stored thereon. The intermediate data file consisting of the data aggregated from the one or more data sources.