Abstract: A method, system and computer program product for controlling collection of data from heterogeneous data sources is disclosed. Data is extracted in a data source independent manner using at least two types of control messages to hide implementation details for the heterogeneous data sources. The method receives from the heterogeneous data sources, a request for a first control message type, which defines data to be extracted from the heterogeneous data sources. Responsive to receiving the request, the method sends a first control messages type to the heterogeneous data sources. The method receives from the heterogeneous data sources, a second control message type that includes data extracted from the heterogeneous data sources that was defined in the first control message type. The method also stores, in a data store, the received data identified in the first control message type and that was extracted from the heterogeneous data sources.

Abstract: A method, system and computer program product for controlling collection of data from heterogeneous data sources is disclosed. Data is extracted in a data source independent manner using at least two types of control messages to hide implementation details for the heterogeneous data sources. The method receives from the heterogeneous data sources, a request for a first control message type, which defines data to be extracted from the heterogeneous data sources. Responsive to receiving the request, the method sends a first control messages type to the heterogeneous data sources. The method receives from the heterogeneous data sources, a second control message type that includes data extracted from the heterogeneous data sources that was defined in the first control message type. The method also stores, in a data store, the received data identified in the first control message type and that was extracted from the heterogeneous data sources.

Abstract: Remote data collection systems and methods retrieve data including financial, sales, marketing, operational and the like data from a plurality of databases and database types remotely over a network in an automated, platform-agnostic manner. An Extract Transform and Load (ETL) data replication method for Chart of Account (COA) standardization includes receiving a request for remote data collection to extract data from a data source; extracting data in a non-intrusive manner from the data source, wherein the data comprises non-standard COA data; and transforming one of an entire set or a subset of the extracted data based on the request based on a template or a standardized form desired for comparisons.

Abstract: Remote data collection systems and methods retrieve data including financial, sales, marketing, operational and the like data from a plurality of databases and database types remotely over a network in an automated, platform-agnostic manner. An Extract Transform and Load (ETL) data replication method for Chart of Account (COA) standardization includes receiving a request for remote data collection to extract data from a data source; extracting data in a non-intrusive manner from the data source, wherein the data comprises non-standard COA data; and transforming one of an entire set or a subset of the extracted data based on the request based on a template or a standardized form desired for comparisons.