Sap Ag

Sap Se

Stefan Gauger

Georg Dopf

Andreas Reccius

Michael Conrad

Rolf Schumann

Juergen Alfred Seyfried

Peter Schwarz

Danny Pannicke

Karsten Bruening

Thomas Schneider

Joachim Kenntner

Dirk Henrich

Kai-Michael Roesner

Olaf Duevel

Markus Klein

Thomas Schachner

Michael Hohendorf

Joachim Becker

Joachim Welte

Radim Sykora

Christiane Cramer

Gerald Paetzold

Joachim Liebler

Ruediger Raubeck

Franz-Joachim Hoeckenreiner

Harald Roedel

A system stores financial accounting data in a Base ledger, together with overlying extension ledger(s). An engine receives both generic financial data, and financial data utilized for specific purposes. Utilizing a mapping table the engine stores in an underlying Base ledger, the generic financial data (e.g., a fixed asset acquisition). The engine stores in overlying extension ledgers, specific financial data (e.g., a linear asset depreciation and/or an declining balance method of asset depreciation) derived from that generic data. This reduces memory footprint by persisting the generic data in one location only. The stored data may be read utilizing dataviews combining data from Base and extension ledgers. A recursive algorithm may evaluate chain(s) of ledgers. Embodiments may be particularly suited to store in the Base ledger generic financial data common to multiple accounting principles (e.g., GAAP, IFRS), and store in extension ledger(s) the associated financial data specific to those accounting schemes.

Extension ledger

A computer network architecture for making procurement-related information that has been generated on a transaction level available to data warehousing techniques is described. The network includes a transaction processing layer with at least one accounting component with a general ledger data base for centrally storing information contained in accounted-related data sets, a data warehousing layer and an additional data sourcing layer. A duplicator receives the data sets that will be or have been stored in the general ledger data base and delivers duplicates of those data sets that fulfil a predefined criteria in a procurement context. A source data base stores the duplicated data sets on a data line level. An extractor of the data sourcing layer interfaces with the data warehousing layer and selectively moves data contained in data lines or sets of data lines from the source data base to the data warehousing layer.

Provision of data for data warehousing applications

Methods, systems and software applications are provided for storing, updating and retrieving key figures. In accordance with one embodiment, a computerized method is provided for storing values of a variable key figure over time. The method comprises storing a value of the key figure in a first data field and assigning an end date to the first data field. Further, the method includes storing a delta value of the key figure in a second data field and assigning a start date to the second data field, wherein the start date is earlier than the end date.

Methods, systems and software applications for storing, updating and retrieving key figures

Systems and methods are provided for generating an accounting document. In one implementation, a computer-implemented method is provided. A message is received that includes operational data. An accounting notification is generated that includes the operational data using a first business object. The accounting notification is processed and the accounting document is generated using a second business object. The accounting document includes a number of posting lines corresponding to the operational data. The accounting document is processed and a set of third business objects is assigned to each posting line. The set of third business objects includes at least one general ledger account business object and a plurality of sub-ledger account business objects. One or more data processing tasks are delegated to the one of the third business objects that are assigned to the given posting line.

Systems and methods for generating an accounting document

A computer network architecture for making procurement-related information that has been generated on a transaction level available to data warehousing techniques is described. The network includes a transaction processing layer with at least one accounting component with a general ledger data base for centrally storing information contained in accounted-related data sets, a data warehousing layer and an additional data sourcing layer. A duplicator receives the data sets that will be or have been stored in the general ledger data base and delivers duplicates of those data sets that fulfill a predefined criteria in a procurement context. A source data base stores the duplicated data sets on a data line level. An extractor of the data sourcing layer interfaces with the data warehousing layer and selectively moves data contained in data lines or sets of data lines from the source data base to the data warehousing layer.

Growing community of inventors

Heidelberg, Germany

Stefan Gauger