Abstract: Techniques are presented for managing fraud information. Metadata defines user profiles, security levels, fraud cases, and presentation information. One or more queries or reports are processed against disparate data store tables and the results are aggregated into a repository. The repository is also defined by the metadata. Furthermore, operations associated with sharing, viewing, and accessing the results from the repository is defined and controlled by the metadata. In an embodiment, portions of the metadata may be viewed and navigated in a hierarchical and graphical formatted presentation.

Abstract: Techniques are presented for managing fraud information. Metadata defines user profiles, security levels, fraud cases, and presentation information. One or more queries or reports are processed against disparate data store tables and the results are aggregated into a repository. The repository is also defined by the metadata. Furthermore, operations associated with sharing, viewing, and accessing the results from the repository is defined and controlled by the metadata. In an embodiment, portions of the metadata may be viewed and navigated in a hierarchical and graphical formatted presentation.

Abstract: Techniques are presented for managing fraud information. Metadata defines user profiles, security levels, fraud cases, and presentation information. One or more queries or reports are processed against disparate data store tables and the results are aggregated into a repository. The repository is also defined by the metadata. Furthermore, operations associated with sharing, viewing, and accessing the results from the repository is defined and controlled by the metadata. In an embodiment, portions of the metadata may be viewed and navigated in a hierarchical and graphical formatted presentation.

Abstract: An apparatus, method, and article of manufacture provide the ability to publish information to an external source as part of an integrated workflow in a computer system. The computer system executes a relational database management system (RDBMS). A publication services processing engine utilizes the RDBMS to publish the information based on a publication node. A publication object defines a collection of information that is published to the external source. A publication action defines a specification of a manner in which the information in the publication object is to be published to the external source. The publication node defines a workflow data process that specifies the publication object and the publication action.

Abstract: A Value Analyzer system is a data-driven computer-facilitated financial model that provides accurate and consistent profitability calculations using account and event data stored in a relational database managed by a relational database management system (RDBMS), wherein the account data comprises attributes of the accounts being measured and the event data comprises attributes of account-related transactions. A selector function uses selection criteria to select accounts and events from the relational database in order to generate a number of inputs for profitability calculations.

Abstract: Techniques are presented for automatic search query generation and results set management. A searcher makes selections from metadata; the metadata is associated with a particular lexicon or industry. Furthermore, the selections are mapped to fields associated with a data source. A thread-safe or unique search query is generated in response to the fields. The thread-safe search query is in a query language format which can query the data source. In an embodiment, the thread-safe search query is executed against the data source and the results returned are customized to rank the results, to sort the results, to filter the results, and/or to acquire a random sampling of the results.

Abstract: A Value Analyzer system is a data-driven computer-facilitated financial model that provides accurate and consistent profitability calculations using account and event data stored in a relational database managed by a relational database management system (RDBMS), wherein the account data comprises attributes of the accounts being measured and the event data comprises attributes of account-related transactions. A selector function uses selection criteria to select accounts and events from the relational database in order to generate a number of inputs for profitability calculations.