Abstract: Graphical User Interfaces for custom lists and labels are provided. A database includes fields that define views when processed by an application server on behalf of a user. At least one view permits the user to supply criteria for custom defining lists or sets of labels, which are also retrieved from the database by the application server.

Abstract: A method, apparatus, and article of manufacture provide the ability to deploy a data management application to a target computer system. Metadata for a master data management (MDM) application is stored in a deployment database. The metadata is representative of business rules and process workflows that manage business data from multiple sources and a model definition for a model for a central business database. Configuration settings for the MDM application are stored in the deployment database. The metadata and configuration settings are retrieved from the deployment database. Installation instructions of the MDM application are confirmed based on input into a graphical user interface. The master data management application is installed on the target computer system based on the installation instructions, metadata, and configuration settings.

Abstract: A method, apparatus, and article of manufacture is configured to define a structured view of data in a computer system. A relational database management system (RDBMS) stores information in the computer system. As part of a process and framework, a series of business rules and process workflows that manage data (that is hierarchical in nature) that resides in one or more RDBMS tables are maintained. User input is accepted that defines a hierarchical structure that is projected onto the data. The hierarchical structure is stored as metadata in the RDBMS. The hierarchical structure is utilized to graphically visualize, manage, and manipulate the data.

Abstract: A method, apparatus, and article of manufacture provide the ability to import a first data model into a meta-data representation in one or more computers. An import wizard or graphical user interface is invoked and guides a user through a process of importing the first data model into the meta-data representation. A source is selected that specifies database connectivity information of a source database containing the first data model. A schema is selected from the selected source, from which tables will be imported into the meta-data representation. A list of all table names within the selected schema is retrieved and displayed. Tables are selected from the list of all table names to import into the meta-data representation. Table information, for all of the selected tables, is populated into the meta-data representation.

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: A Life-Time Value system is a data-driven computer-facilitated financial model that provides accurate and consistent profitability projections using current period account level profitability data stored in a Relational Database Management System. The Life-Time Value system performs Net Present Value and Future Value calculations using accounts, amounts and rates retrieved from the Relational Database Management System by a Selector function using selection criteria specified by one or more rules. The results from the Net Present Value and Future Value calculations are integrated to provide a Life-Time Value of one or more customers.

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 method, apparatus, and article of manufacture is configured to define a structured view of data in a computer system. A relational database management system (RDBMS) stores information in the computer system. As part of a process and framework, a series of business rules and process workflows that manage data (that is hierarchical in nature) that resides in one or more RDBMS tables are maintained. User input is accepted that defines a hierarchical structure that is projected onto the data. The hierarchical structure is stored as metadata in the RDBMS. The hierarchical structure is utilized to graphically visualize, manage, and manipulate the data.

Abstract: A method, apparatus, and article of manufacture provide the ability to deploy a data management application to a target computer system. Metadata for a master data management (MDM) application is stored in a deployment database. The metadata is representative of business rules and process workflows that manage business data from multiple sources and a model definition for a model for a central business database. Configuration settings for the MDM application are stored in the deployment database. The metadata and configuration settings are retrieved from the deployment database. Installation instructions of the MDM application are confirmed based on input into a graphical user interface. The master data management application is installed on the target computer system based on the installation instructions, metadata, and configuration settings.

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 method, apparatus, and article of manufacture provide the ability to import a first data model into a meta-data representation in one or more computers. An import wizard or graphical user interface is invoked and guides a user through a process of importing the first data model into the meta-data representation. A source is selected that specifies database connectivity information of a source database containing the first data model. A schema is selected from the selected source, from which tables will be imported into the meta-data representation. A list of all table names within the selected schema is retrieved and displayed. Tables are selected from the list of all table names to import into the meta-data representation. Table information, for all of the selected tables, is populated into the meta-data representation.

Abstract: A Value Analyzer system is a data-driven computer-facilitated financial model that provides accurate and consistent profitability calculations using account, product and event attributes stored in a relational database managed by a relational database management system (RDBMS). Profitability calculations are performed in the computer by applying one or more rules to the account, product and event attributes accessed from the database, wherein each of the rules is represented as one or more objects in a hierarchy, the objects include one or more relations, criteria lists and criteria, each of the relations includes one or more of the criteria lists, and each of the criteria lists includes one or more of the criteria, and the criteria determine which accounts, products and events are processed in the profitability calculations.

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.