Sap Ag

Sap Se

Markus Helmut Kahn

Marcus Baumann

Hermann Haaf

Markus Fenn

Matthias Schwan

Dorothea Mayer

Michael Jung

Hartmut Koerner

Jens-Peter Jensen

Markus Boehm

Christian Klensch

Joachim Brechtel

Stefan-Claudius Mueller

Silvia Harmsen

Richard Putz

Andreas Paul

Dirk Endesfelder

Markus Roeckelein

Manfred Wanninger

Mathias Vahle

Silke Froese

Karola Ludes

Oliver Klueglich

Gernot Krause

Dirk Vogel

An improved process for distributing data objects and a process for reducing skew in groups of data objects to be processed in parallel are provided herein. A request for parallel processing of a plurality of data objects is received. One or more groups for distributing the data objects are generated. Hash value intervals for the one or more groups are determined. Hash values for the plurality of data objects are determined. The plurality of data objects are distributed into the one or more groups based on their respective hash values and the hash value intervals. The plurality of data objects are processed in parallel by the groups comprising the distributed data objects. The processing results of the plurality of data objects are provided in response to the request.

Data grouping for efficient parallel processing

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 financial instrument impairment calculation business object.

Consistent interface for financial instrument impairment calculation

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 financial instrument impairment expected cash flow analytical result business object.

Consistent interface for financial instrument impairment expected cash flow analytical result

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 financial instrument impairment attribute values analytical result business object.

Consistent interface for financial instrument impairment attribute values analytical result

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 credit portfolio model, a credit portfolio analytical result, a credit portfolio management process control, a financial instrument exposure profile analytical result, and/or a material supply and demand allocation business object.

Managing consistent interfaces for credit portfolio business objects across heterogeneous systems

Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

Systems and methods for providing migration and performance matrices

In an embodiment of the invention, analytical data may be extracted from a business intelligence (BI) system on criteria specified in metadata of a business intelligence query. Once the data is extracted from the BI system, the extracted content may be provided in the context of semantic identifiers. In an embodiment, the semantic identifiers may provide a description of the extracted content associated with the identifier. In one embodiment, the semantic identifiers may be obtained from the criteria specified in the query. In another embodiment, the semantic identifiers may be defined in and obtained from a separate enterprise service repository. In an embodiment, a proposed mapping between query elements and semantic identifiers may be suggested by a processor.

Generating web services from business intelligence queries

Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

Systems and methods for calculating specified matrices

Providing web services from business intelligence queries

Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.

Systems and methods for general aggregation of characteristics and key figures

Growing community of inventors

Heidelberg, Germany

Markus Helmut Kahn