Abstract: A system for visual modification of data. The system comprising, an interface layer for displaying data and for receiving one or more visual inputs for modifying data; a data layer for storing data; and an analysis engine layer for connecting the interface layer and the data layer, wherein the analysis engine layer is configured to receive the one or more visual inputs from the graphical interface for modifying the graphical representation; modify the underlying data based on the visual inputs; modify a derived data based on the modified underlying data; and transfer the modified derived data to the interface layer for display.

Abstract: Disclosed is a method for creating a waterfall chart for data analysis. A waterfall chart enables a user to compare two different versions of a quantity and the underlying details for the differences between the two versions. The method comprises: 1) a data setting step including the setting of: a) an open value, b) a close value, c) a breakdown time and d) a breakdown dimension; 2) a data series definition step including defining: a) a reference data point, b) a comparison data point, c) a reference data breakdown series and d) a comparison data breakdown series; 3) a variance series computation step including: a) aligning the reference data breakdown series and the comparison data breakdown series, b) calculating a variance series, and c) creating a waterfall data series; and 4) a chart rendering step.

Abstract: A system for visual modification of data. The system comprising, an interface layer for displaying data and for receiving one or more visual inputs for modifying data; a data layer for storing data; and an analysis engine layer for connecting the interface layer and the data layer, wherein the analysis engine layer is configured to receive the one or more visual inputs from the graphical interface for modifying the graphical representation; modify the underlying data based on the visual inputs; modify a derived data based on the modified underlying data; and transfer the modified derived data to the interface layer for display.

Abstract: According to some embodiments, information may be received about a non-relational database object, such as an InfoSet, InfoSet query, or Advanced Business Application Programming (“ABAP”) function for an enterprise resource planning system. The non-relational database object may then be mapped into a relational database model, such as a model associated with a business intelligence platform. As a result, Structured Query Language (“SQL”) inputs from a business intelligence platform may be used create reports based on information in an enterprise resource planning system.

Abstract: According to some embodiments, information may be received about a non-relational database object, such as an InfoSet, InfoSet query, or Advanced Business Application Programming (“ABAP”) function for an enterprise resource planning system. The non-relational database object may then be mapped into a relational database model, such as a model associated with a business intelligence platform. As a result, Structured Query Language (“SQL”) inputs from a business intelligence platform may be used create reports based on information in an enterprise resource planning system.

Abstract: A method for querying an Open Data Protocol (“opendata”) opendata provider includes receiving a relational database query, parsing the relational database query, creating an execution plan, transmitting an opendata query to the opendata provider, transforming a response into a relational format, and providing the transformed response in reply to the relational database query. The method further includes mapping content of an opendata entity data model to a relational model catalog, and processing a portion of the execution plan by an opendata driver implemented at the server. The method can further include the server retrieving document metadata from the opendata provider, building an internal model of the document metadata, and responding to a metadata request. A system for implementing the method and a non-transitory computer readable medium are also disclosed.

Abstract: A method and apparatus for detecting pre-selected data stored on a personal computing device is described. In one embodiment, contents of data storage media of a personal computing device are searched for pre-selected sensitive data. In one embodiment, if at least a portion of the pre-selected sensitive data is detected, a notification of the detection of the pre-selected data is sent to a system via a network. In another embodiment, if at least a portion of pre-selected sensitive data is detected, the access to this data is blocked.

Abstract: According to some embodiments, information may be received about a non-relational database object, such as an InfoSet, InfoSet query, or Advanced Business Application Programming (“ABAP”) function for an enterprise resource planning system. The non-relational database object may then be mapped into a relational database model, such as a model associated with a business intelligence platform. As a result, Structured Query Language (“SQL”) inputs from a business intelligence platform may be used create reports based on information in an enterprise resource planning system.

Abstract: A method for querying an Open Data Protocol (“opendata”) opendata provider includes receiving a relational database query, parsing the relational database query, creating an execution plan, transmitting an opendata query to the opendata provider, transforming a response into a relational format, and providing the transformed response in reply to the relational database query. The method further includes mapping content of an opendata entity data model to a relational model catalog, and processing a portion of the execution plan by an opendata driver implemented at the server. The method can further include the server retrieving document metadata from the opendata provider, building an internal model of the document metadata, and responding to a metadata request. A system for implementing the method and a non-transitory computer readable medium are also disclosed.

Abstract: According to some embodiments, information may be received about a non-relational database object, such as an InfoSet, InfoSet query, or Advanced Business Application Programming (“ABAP”) function for an enterprise resource planning system. The non-relational database object may then be mapped into a relational database model, such as a model associated with a business intelligence platform. As a result, Structured Query Language (“SQL”) inputs from a business intelligence platform may be used create reports based on information in an enterprise resource planning system.

Abstract: A method and apparatus for detecting preselected data embedded in information content is described. In one embodiment, the method comprises receiving information content and detecting in the information content a sequence of content fragments that may contain a portion of preselected data. The method further comprises determining whether a sub-set of these content fragments matches any sub-set of the preselected data using an abstract data structure that defines a tabular structure of the preselected data.

Abstract: A method and apparatus for detecting pre-selected data stored on a personal computing device is described. In one embodiment, contents of data storage media of a personal computing device are searched for pre-selected sensitive data. In one embodiment, if at least a portion of the pre-selected sensitive data is detected, a notification of the detection of the pre-selected data is sent to a system via a network. In another embodiment, if at least a portion of pre-selected sensitive data is detected, the access to this data is blocked.

Abstract: A method and apparatus for detecting pre-selected data stored on a personal computing device is described. In one embodiment, contents of data storage media of a personal computing device are searched for pre-selected sensitive data. In one embodiment, if at least a portion of the pre-selected sensitive data is detected, a notification of the detection of the pre-selected data is sent to a system via a network. In another embodiment, if at least a portion of pre-selected sensitive data is detected, the access to this data is blocked.

Abstract: A method and apparatus for detecting preselected data embedded in information content is described. In one embodiment, the method comprises receiving information content and detecting in the information content a sequence of content fragments that may contain a portion of preselected data. The method further comprises determining whether a sub-set of these content fragments matches any sub-set of the preselected data using an abstract data structure that defines a tabular structure of the preselected data.

Abstract: A method and apparatus for detecting preselected data embedded in information content is described. In one embodiment, the method comprises receiving information content and detecting in the information content a sequence of content fragments that may contain a portion of preselected data. The method further comprises determining whether a sub-set of these content fragments matches any sub-set of the preselected data using an abstract data structure that defines a tabular structure of the preselected data.

Abstract: A method and apparatus for detecting pre-selected data stored on a personal computing device is described. In one embodiment, contents of data storage media of a personal computing device are searched for pre-selected sensitive data. In one embodiment, if at least a portion of the pre-selected sensitive data is detected, a notification of the detection of the pre-selected data is sent to a system via a network. In another embodiment, if at least a portion of pre-selected sensitive data is detected, the access to this data is blocked.