Abstract: Improved data governance solutions to enterprise-level master data storage hubs are provided by implementing data governance functionality with regard to a master data hub. Data governance functionality is provided by providing visibility into the data quality the data of an enterprise.

Abstract: In one embodiment, a plurality of data records is received. Further, the received plurality of data records are classified into one or more data clusters based on parameters associated with the plurality of data records. Furthermore, a visualization panel on a computer generated graphical user interface is presented for graphically indicating number of data records in a data cluster of the one or more data clusters, density of the data records in the data cluster and proximity between the one or more data clusters. Also, the visualization panel graphically displays parameters associated with the one or more data clusters and distribution of data in the data cluster of the one or more data cluster.

Abstract: In one embodiment, a selection of a process component associated with a process flow is received. Further, a check is made to determine whether a graphical editor includes process components associated with the process flow. If the graphical editor does not include process components, the selected process component is placed on the graphical editor. If the graphical editor includes the process components, then compatibility of the selected process component with at least one of the one or more process components is determined by identifying cardinality and type of the process component. Further, the selected process component is connected to the process flow on the graphical editor based on the determined compatibility.

Abstract: Improved data governance solutions to enterprise-level master data storage hubs are provided by implementing data governance functionality across the operational systems, analytical systems, and master data hubs of an enterprise. Data governance functionality is provided across the systems and hubs of an enterprise by providing visibility into the operational data, analytical data, and master data of an enterprise, by providing visibility into the data quality measuring processes that have been executed on the operational and analytical data, and by providing functionality for correcting fragmented, inconsistent, and erroneous information within operational and analytical data.

Abstract: Various embodiments of systems and methods for dynamically weighted semantic trees are described herein. One or more software elements of a hierarchy are identified in response to user actions in a report. The user actions are related to at least one software element of the one or more software elements of the hierarchy. A local tree is constructed for each user by assigning local weights for the one or more software elements based on user visits to the one or more software elements. A group tree is constructed for each group to which the users belong by assigning group weights for the one or more software elements based on the user visits to the one or more software elements. The local tree and the global tree are stored for use in various applications.

Abstract: Disclosed are systems and methods for extracting data from a report document for analysis. A report document is retrieved from a group of report documents. Data present in the report document may include fields and associated metadata. The fields and the associated metadata present in the report are categorized as corresponding data source parameters. The data source parameters are rendered on a user interface, to receive a user definition of a scope for analyzing the data present in the report document. The data source parameters associated with the user definition are qualified to rendered result objects for each associated data source parameter. Based upon the result objects, a query is generated to define the data for analyzing the report document. Based upon a user input to the query, the data present in the report document associated to the query is extracted to generate a multi-dimensional result data.

Abstract: Improved data governance solutions to enterprise-level master data storage hubs are provided by implementing data governance functionality across the operational systems, analytical systems, and master data hubs of an enterprise. Data governance functionality is provided across the systems and hubs of an enterprise by providing visibility into the operational data, analytical data, and master data of an enterprise, by providing visibility into the data quality measuring processes that have been executed on the operational and analytical data, and by providing functionality for correcting fragmented, inconsistent, and erroneous information within operational and analytical data.

Abstract: The present invention provides a unique system and method for optimizing packet processing flow in a communications network by minimizing latency associated with packet-forwarding eligibility determinations. The present invention employs a speculative scheme with automatic recovery, including a two-way multithreaded implementation designed to overcome the aforementioned latency issue, including the functionality of enqueuing an incoming packet in both packet memory and a cut through buffer; determining the packet's eligibility for cutting through the buffer; and based on the determination, rolling back the unsuccessful process.

Abstract: The present invention provides a unique system and method for optimizing packet processing flow in a communications network by minimizing latency associated with packet-forwarding eligibility determinations. The present invention employs a speculative scheme with automatic recovery, including a two-way multithreaded implementation designed to overcome the aforementioned latency issue, including the functionality of enqueuing an incoming packet in both packet memory and a cut through buffer; determining the packet's eligibility for cutting through the buffer; and based on the determination, rolling back the unsuccessful process.