Sap Se

Sap Ag

Michael Jung

Kai-Niklas Bastian

Hinnerk Gildhoff

Tim Grouisborn

Markus Helmut Kahn

Hartmut Koerner

Markus Boehm

Christian Klensch

Joachim Brechtel

Stefan-Claudius Mueller

Richard Putz

Andreas Paul

Yuh-Cherng Wu

Steffen Tatzel

Berthold Wocher

Ingo Pfitzner

Georg Podhajsky

Tao Yu

Thomas Nitschke

Volkmar Stegmann

Stefan Adelmann

Christopher Ronnewinkel

Wolfgang Nieswand

Andrea Sudbrack

Christian Haas

Christoph Lehner

Boris Greven

Alexander Koegler

Stefan Franke

Thomas Bach

Andre Wachholz-Prill

Devasena Rajamohan

Rainer Heun

Steffen Hartig

Dagmar Opitz

Hamid Moghaddam

Olivier M Dreidemy

Dietmar Storz

Uwe Herold

Martina Lahr

Peer Marschall

Christoph Engler

Cordula Ude

Katja Kasteleiner

Theo Zimmermann

Joachim Barnbeck

Michael Lesk

Alexandra Mark

Helge Schulte

Wilfried Merkel

Martina Keller

Boris Krems

Joerg Walzenbach

Tariq Khasawneh

Naci Kalyoncu

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program identifies a first data structure having a first type. The first data structure is configured to store a set of geometries. The program further identifies a second data structure associated with the first data structure. The second data structure is configured to store modifications to the set of geometries. The program also perform a merge operation on the first data structure and the second data structure to form a third data structure.

Determining data structures for spatial data based on spatial data statistics

Static and dynamic process data of a system are accessed. Thereafter, using this accessed process data, a subset of such data forming relevant data for a particular context is derived. The data is then explored using a computer-implemented process or processes to automatically get insight into information about structures, distributions and correlations of the relevant data. Rules can be generated based on the exploring of relevant data that describe data dependencies within the relevant data. These generated rules can later be used to generate synthetic data. Such synthetic data, in turn, can be used to for a variety of purposes including the training of a machine learning model while, at the same time, complying with applicable privacy and data protection laws and regulations.

Data insight automation

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives, from a client device, a percentage value for a set of points. The program further determines a triangulation based on the set of points. The program also determines an alpha value based on the triangulation and the percentage value. The program further determines an alpha shape based on the alpha value. The program also provides the client device the alpha shape.

System and method for determining alpha values for alpha shapes

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

Methods and apparatus, including systems and computer program products, for a services architecture design that provides enterprise services having customer relationship management functionality at the level of an enterprise application. The design includes a set of service operations, process components, and optionally deployment units. Suitable business objects are also described.

Providing customer relationship management application as enterprise services

Providing web services from business intelligence queries

Growing community of inventors

Quierschied, Germany

Michael Jung