Abstract: In a computer program product, system and method for retrieving operational data, a front-end unit generates a query for operational data. In an embodiment, in response to the generation of the query, an operational information provider is sent to a back-end unit to retrieve real-time operational data from the back-end unit using a retrieval method specified in the operational information provider. The retrieved operational data, including the real-time operational data is received by the front-end unit from the back-end unit.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a customer quote and/or a customer quote request business object.

Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a sales order business object.

Abstract: In a computer program product, system and method for retrieving operational data, a front-end unit generates a query for operational data. In an embodiment, in response to the generation of the query, an operational information provider is sent to a back-end unit to retrieve real-time operational data from the back-end unit using a retrieval method specified in the operational information provider. The retrieved operational data, including the real-time operational data is received by the front-end unit from the back-end unit.

Abstract: In a computer program product, system and method for retrieving operational data, a front-end unit generates a query for operational data. In an embodiment, in response to the generation of the query, an operational information provider is sent to a back-end unit to retrieve real-time operational data from the back-end unit using a retrieval method specified in the operational information provider. The retrieved operational data, including the real-time operational data is received by the front-end unit from the back-end unit.

Abstract: In a computer program product, system and method for retrieving operational data, a front-end unit generates a query for operational data. In an embodiment, in response to the generation of the query, an operational information provider is sent to a back-end unit to retrieve real-time operational data from the back-end unit using a retrieval method specified in the operational information provider. The retrieved operational data, including the real-time operational data is received by the front-end unit from the back-end unit.

Abstract: A data analysis workbench enables a user to define a data analysis process that includes an extract sub-process to obtain transactional data from a source system, a load sub-process for providing the extracted data to a data warehouse or data mart, a data mining analysis sub-process to use the obtained transactional data, and a deployment sub-process to make the data mining results accessible by another computer program. Common settings used by each of the sub-processes are defined, as are specialized settings relevant to each of the sub-processes. The invention also enables a user to define an order in which the defined sub-processes are to be executed. The defined data analysis process then is able to be performed by one or more computer systems.

Abstract: A data mining run that includes special analyses is triggered directly after having loaded new data in a data warehouse environment, to enrich the newly loaded data by new attributes. The process automates replicating transaction data from a source system into a data warehouse, triggering a data mining procedure (such as a training or a prediction procedure) that enriches the data with new attributes, and triggering the upload of the enriched data back into the data warehouse.