Abstract: Systems and methods for rendering displays in interest-driven business intelligence data visualization system of an inter-driven business intelligence system in accordance with some embodiments of the invention are illustrated. In one embodiment, an interest-driven data visualization system includes a processor, a memory configured to store an interest-driven business intelligence application, memory storing reporting data and metadata for the reporting data. The interest-driven business intelligence application includes a rendering process that adjusts the level of robustness of the rendered displays based upon current system performance information. Furthermore, the inter-driven business intelligence application may also include a table scrolling rendering process that periodically determines the location within the table and determines a viewport for the location. The viewport is then rendered and provided to the display.

Abstract: Systems and methods for interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven distributed data server system includes a processor, an interest-driven distributed data server application, aggregate data storage, and a data source directory, wherein the interest-driven distributed data server application configures the processor to obtain reporting data requirements, determine at least one data dimension using the reporting data requirements, identify at least one data source identified that can provide data associated with the data dimension, generate data source job data, transmit the data source job data to at least one data source, and receive job response data, store the received job response data in the aggregate data storage, build reporting data based on the reporting data requirements, and transmit the reporting data.

Abstract: Interest-driven business intelligence server systems that provide performance metadata are described. In the disclosed embodiments, an interest-driven business intelligence server system receives a report specification. The report specification includes at least reporting data requirement. The interest-driven business intelligence server determines performance metadata information for an interest-driven data pipeline that is utilized to generate reporting data based on the report specification. The performance metadata information for the interest-driven data pipeline is transmitted to an interest-driven user visualization system by the interest-driven business intelligence server system.

Abstract: Systems and methods for interest-driven data visualization systems in accordance with embodiments of the invention are illustrated.

Abstract: Systems and methods for interest-driven business intelligence systems including segment data in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven data visualization system includes a processor and a memory wherein an interest-driven data visualization application configures the processor to define reporting data requirements, including at least one piece of reporting data metadata, generate data retrieval job data, transmit the data retrieval job data to an interest-driven business intelligence server system, receive source data from the interest-driven business intelligence server system, create at least one piece of reporting data using the received source data, the data description metadata, and the reporting data metadata, and generate a set of segment data based on the reporting data, where a piece of segment data in the set of segment data includes a subset of the reporting data.

Abstract: Systems and methods for interest-driven business intelligence systems including event-oriented data in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven business intelligence system includes raw data storage configured to contain raw data and perform ETL processes, a data mart configured to contain metadata that describes the raw data, and an intermediate processing layer, wherein the intermediate processing layer is configured to compile an interest-driven data pipeline configured to generate ETL processing jobs to generate event-oriented data from the raw data by filtering the raw data based on the metadata describing the raw data, determining ordering data based on the metadata describing the raw data, aligning the filtered raw data based on the ordering data, and generating event-oriented data based on the aligned filtered raw data, and storing the event-oriented data in the data mart.

Abstract: Systems and methods for interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven distributed data server system includes a processor, an interest-driven distributed data server application, aggregate data storage, and a data source directory, wherein the interest-driven distributed data server application configures the processor to obtain reporting data requirements, determine at least one data dimension using the reporting data requirements, identify at least one data source identified that can provide data associated with the data dimension, generate data source job data, transmit the data source job data to at least one data source, and receive job response data, store the received job response data in the aggregate data storage, build reporting data based on the reporting data requirements, and transmit the reporting data.

Abstract: Interest-driven business intelligence server systems that provide performance metadata are described. In the disclosed embodiments, an interest-driven business intelligence server system receives a report specification. The report specification includes at least reporting data requirement. The interest-driven business intelligence server determines performance metadata information for an interest-driven data pipeline that is utilized to generate reporting data based on the report specification. The performance metadata information for the interest-driven data pipeline is transmitted to an interest-driven user visualization system by the interest-driven business intelligence server system.

Abstract: Systems and methods for interest-driven data visualization systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven data visualization system includes a processor, a memory connected configured to store an interest-driven data visualization application, and metadata storage, wherein the interest-driven data visualization application configures the processor to define reporting data requirements, generate data retrieval job data based on the reporting data requirements, transmit the data retrieval job data, receive aggregate data, create at least one piece of reporting data using the received aggregate data and the reporting data requirements, associate visualization metadata with the reporting data describing the visual appearance of the at least one piece of reporting data, and generate a report using the reporting data requirements and the visualization metadata.

Abstract: Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated.

Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.

Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.

Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.

Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.