Abstract: Data gathering and re-presentation tools provided by a service to a client organization enable data to be acquired in an automated manner from a multiplicity of systems (e.g., proprietary databases and other data storage, handling, and management systems) and then re-present the acquired data in any layout and in format in accordance with specifications provided by the client and/or third party. The tools execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients in the client organization.

Abstract: Data gathering and re-presentation tools provided by a service to a client organization enable data to be acquired in an automated manner from a multiplicity of systems (e.g., proprietary databases and other data storage, handling, and management systems) and then re-present the acquired data in any layout and in format in accordance with specifications provided by the client and/or third party. The tools execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients in the client organization.

Abstract: Data gathering and re-presentation tools provided by a service to a client organization enable data to be acquired in an automated manner from a multiplicity of systems (e.g., proprietary databases and other data storage, handling, and management systems) and then re-present the acquired data in any layout and in format in accordance with specifications provided by the client and/or third party. The tools execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients in the client organization.

Abstract: Data mining and logic-checking tools provided by a service to a client organization enable fractal data comparison and analysis and a logic-based data derivation. The tools are configured to interface with websites which have data that typically is 1) required and missing from a client organization's database, 2) used to validate pre-existing data in a user's database, or 3) used to derive new data for a user's database. For data acquisition, the tools interface with sources of data which, typically, do not offer an application programming interface (API) for non-human access to the data. The tools may execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients.

Abstract: Data mining and logic-checking tools provided by a service to a client organization enable fractal data comparison and analysis and a logic-based data derivation. The tools are configured to interface with websites which have data that typically is 1) required and missing from a client organization's database, 2) used to validate pre-existing data in a user's database, or 3) used to derive new data for a user's database. For data acquisition, the tools interface with sources of data which, typically, do not offer an application programming interface (API) for non-human access to the data. The tools may execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients.

Abstract: Data mining and logic-checking tools provided by a service to a client organization enable fractal data comparison and analysis and a logic-based data derivation. The tools are configured to interface with websites which have data that typically is 1) required and missing from a client organization's database, 2) used to validate pre-existing data in a user's database, or 3) used to derive new data for a user's database. For data acquisition, the tools interface with sources of data which, typically, do not offer an application programming interface (API) for non-human access to the data. The tools may execute routines to validate the acquired data to ensure its completeness and logical accuracy as well as enrich the data with data from other sources or data that is derived from the acquired data. The processed data is organized and transformed into specified end states and routed to appropriate recipients.