A computer implemented method of analyzing and graphically representing the correlation of a plurality of transaction items, the method comprising the steps of: retrieving data associated with groups of the transaction items, correlating a plurality of groups of transaction items in a dimensionally reduced manner, creating a tree hierarchy which classifies the groups of transaction items in a hierarchy according to a defined user understandable factor, wherein the tree hierarchy is linked to the groups of transaction items, and graphically representing the correlated groups of transaction items and tree hierarchy to enable interaction between the correlated groups of transaction items and the linked tree hierarchy.

Methods, apparatus and systems for data visualization and related applications

Improved method of and apparatus for joining and aggregating data elements integrated within a relational database management system (RDBMS) using a non-relational multi-dimensional data structure (MDD). The improved RDBMS system of the present invention can be used to realize achieving a significant increase in system performance (e.g. deceased access/search time), user flexibility and ease of use. The improved RDBMS system of the present invention can be used to realize an improved Data Warehouse for supporting on-line analytical processing (OLAP) operations or to realize an improved informational database system or the like.

Relational database management system having integrated non-relational multi-dimensional data store of aggregated data elements

A computer-implemented decision management system which provides qualitative client assessment via point in time simulation More specifically, the decision management system (a) simulates the effect of a strategy by applying the strategy to client data, and (b) tracks what type of client traveled through a respective decision point in the strategy during the simulation Simulation parameters can be selected without technical intervention via, for example, a GUI and a relational data model Such parameters can include which customers and which client data sample will be used for the simulation, and which inbound events will trigger the strategy Moreover, detailed and aggregate results can be consolidated to determine expected results from the simulated strategies, and traditional and OLAP reporting facilities can be applied to analyze/view the consolidated results

Decision management system providing qualitative account/customer assessment via point in time simulation

A system, method and processor medium that manages automatic generation of output from an on-line analytical processing system. Scheduled services are processed in an on-line analytical processing system and output from the OLAP system is then automatically forwarded to one or more subscriber output devices specified for that service. The system manages the operation of the service processing system to increase throughput, increase speed, and improve the administrator control over the processing. The system may maintain dynamic recipient lists that are resolved by system. The system enables administrator control over processing by enabling administrators to view all services and all subscribers of the system, by maintaining an address book containing entries for subscribers of the service and enables a system user to view the contents of the address book, and by scheduling processing of services. The system governs the volume of services being processed, the number of subscribers to a particular service, and the number of output devices to which a service may be broadcast.

System and method for management of an automatic OLAP report broadcast system

An enterprise-wide data-warehouse comprising a database management system (DBMS) including a relational datastore storing data in tables. An aggregation module, operatively coupled to the relational datastore aggregates the data stored in the tables of the relational datastore and storing the resultant aggregated data in a non-relational datastore. A reference generating mechanism generates a first reference to data stored in the relational datastore, and a second reference to aggregated data generated by the aggregation module and stored in the non-relational datastore. A query processing mechanism processes query statements, wherein, upon identifying that a given query statement is on the second reference, the query processing mechanism communicates with the aggregation module to retrieve portions of aggregated data identified by the reference that are relevant to the given query statement.

Enterprise-wide data-warehouse with integrated data aggregation engine

A computer-based method and apparatus for knowledge discovery from databases. The disclosed method involves the user creation of a project plan comprising a plurality of operational components adapted to cooperatively extract desired information from a database. In one embodiment, the project plan is created within a graphical user interface and consists of objects representing the various functional components of the overall plan interconnected by links representing the flow of data from the data source to a data sink. Data visualization components may be inserted essentially anywhere in the project plan. One or more data links in the project plan may be designated as caching links which maintain copies of the data flowing across them, such that the cached data is available to other components in the project plan. In one embodiment, compression technology is applied to reduce the overall size of the database.

Method and apparatus for knowledge discovery in databases

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Method and apparatus for knowledge discovery in databases