Business Objects Software Limited

Sap Ag

Business Objects S.a.

Bruno Dumant

Yann Le Biannic

Olivier Hamon

Ricardo Polo-Malouvier

Xiaohui Xue

Alexis Naibo

Laurent Pontier

Pierre Saurel

Rodolphe Boixel

Florent Vermeulen

Mathieu Bournat

Yannick Cras

Xavier Vanderschaeghe

According to some embodiments, a business intelligence data store contains semantic layer information. A business intelligence language platform may receive a business intelligence language query expression from a user. The business intelligence language platform may then access the mapping information in the business intelligence model data store to compute an output type describing a result structure entity for the query expression. According to some embodiments, the output type may be used to automatically recommend at least one visualization chart to the user. Moreover, in some embodiments the output type is annotated with meta-data information about a business object.

Business intelligence language type representing result structure

A system includes acquisition of data from a first data source, identification of logical entities of a first data model of the first data source based on the data of the first data source, identification, for one or more of the logical entities of the first data model, of a respective knowledge vault entity described by first metadata, and generation of second metadata describing a plurality of semantic layer entities, the second metadata describing a semantic layer entity comprising at least one semantic attribute of a knowledge vault entity corresponding to the semantic layer entity.

Knowledge-driven generation of semantic layer

A computer-implemented method for generating a plurality of data query suggestions is described. The method includes receiving a textual input in a user interface of a software application implementing a plurality of business processes and determining a query context for the textual input. The method also includes computing a plurality of ranked numerical scores based on the query context in which the ranked numerical scores are computed using information obtained from a plurality of usage metrics associated with the query context and determining, using the plurality of ranked numerical scores, a plurality of candidate data combinations. The method also includes ordering the plurality of candidate data combinations according to the plurality of ranked numerical scores and generating at least one data suggestion using the ordered plurality of candidate data combinations and providing the at least one data suggestion in the user interface.

Providing suggestions based on user context while exploring a dataset

According to some embodiments, a business intelligence language expansion and compilation platform may receive a business intelligence language expression, containing at least one macro sub-expression from a user. Information may then be accessed in a business and data models data store to perform expansion and compilation operations on the received business intelligence language expression. As a result of these operations, the system may provide a native query to a data source database. A business intelligence language result set manager may retrieve data from a data source database responsive to the native query and output a business intelligence language result set to the user in response to the business intelligence language expression. According to some embodiments, the business intelligence language is reentrant such that the received business intelligence language expression is evaluated in one context and uses a result of another business intelligence language expression evaluated in a possibly different context.

Business intelligence language macros

A computer-implemented method for initiating, at a user interface, execution of a software application implementing a plurality of business processes associated with a plurality of business objects, and displaying, in the user interface, a query box and a plurality of visualizations depicting data corresponding to at least a portion of the plurality of business objects. The method includes receiving and parsing a free text input, generating and executing a search using a plurality of keyword search queries based on one or more keyword tokens. The method also includes applying grammar rules, generating query trees, and generating a number of search suggestions using the query trees.

Business intelligence (BI) query and answering using full text search and keyword semantics

A computer-implemented method for generating a plurality of data suggestions is described. The method includes receiving a textual input in a user interface of a software application implementing a plurality of business processes, determining a query context associated with the textual input, a user, and data that the user is viewing in the software application, and computing a plurality of statistical metrics for the query context, the statistical metrics being computed using information obtained from datasets associated with the query context. The method also includes determining a plurality of candidate data combinations, the data combinations including a plurality of dimensions, measures, and filters compatible with the query context, ranking the plurality of candidate data combinations according to one of the plurality of statistical metrics, and generating at least one data suggestion using the plurality of candidate data combinations and providing the at least one data suggestion in the user interface.

Use of context-dependent statistics to suggest next steps while exploring a dataset

The present disclosure describes methods, systems, and computer program products for dynamic generation and modification of input schemas. One computer-implemented method includes receiving event data from a data source with an event collector, the data source registered with the event collector to transmit event data to the event collector, transmitting the received event data for analysis, saving the transmitted event data, determining whether to create or update a business intelligence view, determining whether to create or update an input schema based on the saved event data, and providing, by a computer, an input schema describing how data is represented in the database to a query generation engine.

Dyanmic data-driven generation and modification of input schemas for data analysis

Systems and methods for information exchange using generic data streams, wherein a data stream is sent from one computer system to another, and the receiving computer system is not aware of the structure of the information in the data stream. A header of the data stream includes a description of a data object. A body of the data stream includes information for instances of a data object stored on a computer system. The object is compliant with the description provided in the header of the data stream. The information in the body of the stream is extracted based on the description provided in the header of the data stream. A user interface (UI) is dynamically created based on the description of data object to display portions of the received information, and further to allow a user to change the information.

Information exchange using generic data streams

Some aspects include association of fields of a data source with one or more entity identities, one or more relation identities, and one or more attributes corresponding, respectively, to entity identities, relation identities and facet attributes defined in metadata of an enterprise social network, and reception of data from the data source. Also included is a determination, based on the data and the associated fields of the data source, of one or more source entities, one or more source entity identities associated with each of the one or more source entities, one or more source relations, one or more source relation identities associated with each of the one or more source relations, and one or more source facets associated with one or more source entities or source relations. For each determined source entity, it is determined if any of the one or more associated source entity identities is identical to an entity identity of the enterprise social network. A new entity is created in the enterprise social network corresponding to the determined source entity if it is determined that none of the one or more associated source entity identities is identical to an entity identity of the enterprise social network, and, if it is determined that one or more associated source entity identities is identical to an entity identity of the enterprise social network, the enterprise social network is updated with one or more source facets associated with the determined source entity.

Populating a multi-relational enterprise social network with disparate source data

A system may include determination of a plurality of data structures associated with an entity, each of the plurality of data structures associated with a respective validity period, determination of a plurality of non-overlapping time periods based on the validity periods, the plurality of non-overlapping time periods collectively spanning all of the validity periods, determination, for each of the plurality of non-overlapping time periods, of a composite data structure based on each of the data structures associated with a validity period including the non-overlapping time period, assignment of a respective document identifier to each composite data structure, each document identifier indicating the entity, and indexing of the composite data structures within an index.

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Verneuil sur Seine, France

Bruno Dumant