533 results about "Business intelligence" patented technology

A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from Internet web sites, including their logs, content, processes, and transactions. The system compares log data to content and process data, and relates the results of the comparison to transaction data. This permits the system to provide aggregate cluster data representing statistics useful for customer lead generation.

A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text mining server that executes query-based searches of the database, and an output repository. A web server provides client access to the repository, and to the mining server.

A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

Various embodiments of the present invention disclose a method for Business Intelligence (BI) metrics on unstructured data. Unstructured data is collected from numerous data sources that include unstructured data as ingested data. The ingested data is indexed and represents hyperlink and extracted data and metadata for each document. Thereafter, the ingested data is automatically classified into one or more relevance classes. Further, numerous analytics are performed on the classified data to generate business intelligence metrics that may be presented on an access device operated by a user.

A method of optimizing the delivery of a set of data elements to a device, the set of data elements further comprising a metadata portion. The method further includes determining a source of each element of the set of data elements, and creating a set of rules for transforming the set of data elements from a first representation to a second representation, based in part on the metadata. The method further includes transferring the set of data elements from the source to a first computer, transforming the set of data elements, based in part on the set of rules, and delivering the second representation to the device. Thereafter, the method includes monitoring the source for a change to the set of data elements. And, if required, the method further includes transferring the change from the source to the first computer.

Various embodiments of the present invention disclose a method for Business Intelligence (BI) metrics on unstructured data. Unstructured data is collected from numerous data sources that include unstructured data as ingested data. The ingested data is indexed and represents hyperlink and extracted data and metadata for each document. Thereafter, the ingested data is automatically classified into one or more relevance classes. Further, numerous analytics are performed on the classified data to generate business intelligence metrics that may be presented on an access device operated by a user.

Techniques for managing real-time business event analysis and monitoring are provided. In some examples, a logical request may be received at a business intelligence server configured with a continuous query service. Additionally, the continuous query service may be configured to translate the logical request into a physical request. Further, business intelligence information may be provided based at least in part on querying against an event data stream with a continuous query configured based at least in part on the physical request translated by the continuous query service.

A business intelligence system includes a business activity monitor with a data cache to receive and store enterprise data integrated from a plurality of enterprise applications, the data cache being updated in real-time as the enterprise data changes. A computer coupled with the data cache runs a program that produces a graphical user interface on a display. The graphical user interface provides a user with a real-time report of the enterprise data and a page that allows the user to specify at least one action affecting operation of the enterprise. The page also including a button selection of which causes the computer to send a first message designating one or more selected actions to the BAM. In response, the BAM sends a second message to one or more of the enterprise applications to execute the one or more selected actions in real-time. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

A method is provided for qualifying and analyzing business intelligence. At a first part of a data management system receives first, second and third streams of data. The first stream is client provided source data, the second is public source data and the third is data management system internal data previously collected and managed source data in the data management system. The three streams of data are organized into items and their attributes at the data management system. The source data is transformed at a data warehouse where it becomes normalized. Logic is applied to provide multi-dimensional analysis of transformed source data relative to a scale for at least one business intelligence. The data warehouse includes updated data from the multi-dimensional analysis. A user interface communicates with the data management system to create statistical information that illustrates impact over time and value.

A tracking manager, in communication with a status tracking structure and one or more client, provides event information regarding a plurality of objects, received from the status tracking structure, and alert information to the clients. Immediate rules and periodic rules are assessed in light of event information, which rules are stored in a rule storage component such that any of the rules may be modified independently of a rule execution component within the tracking manager. When the conditions defining any of the business rules are met, alert events are generated, stored and provided to the clients. Additionally, a map control operating in the clients allows selected portions of the event information to be provided to the clients. A data structure corresponding to a map schema is provided such that specialized map images may be readily provided and associated with each other.

A text mining system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text mining system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text mining server that executes query-based searches of the database, and an output repository. A web server provides client access to the repository, and to the mining server.

A text indexing system for collecting business intelligence about a client, as well as for identifying prospective customers of the client, for use in a lead generation system accessible by the client via the Internet. The text indexing system has various components, including a data acquisition process that extracts textual data from various Internet sources, a database for storing the extracted data, a text indexing server that executes keyword searches of the database, and an output repository. A web server provides client access to the repository, and to the indexing server.

The present invention relates to a method and system for generating a comprehensive Business Intelligence system based on a lifecycle approach that comprises of the steps of: modeling, building, generating and analyzing in order to analyze a business process end to end. In accordance with the present invention, modeling comprises the steps of defining a business process life cycle and its metrics and splitting each Business process lifecycle into several events or stages. This step also includes facilitating gathering of business requirements and developing a project plan based on them. The step of building comprises building the Business Intelligence system by interconnecting events or stages of BP lifecycles within the business process. The step of generating comprises the step of generating the Business Intelligence system in one shot by displaying the interconnectivity of various Business process lifecycles within the business process. The step of analyzing provides an easy to use web interlace to analyze business process life cycles based on the metrics and dimensions defined by business users.

The invention relates to a deep learning-based question and answer matching method. The method comprises the following steps of: 1) sufficiently learning word orders and sentence local features of a question text and an answer text by utilizing two underlying deep neural networks: a long short-term memory network LSTM and a convolutional neural network CNN; and 2) selecting a keyword with best semantic matching on the basis of a pooling manner of an attention mechanism AM. Compared with existing methods, the method has the advantages of being in low in feature engineering workload, strong in cross-field performance and relatively high in correctness, and can be effectively applied to the fields of commercial intelligent customer service robots, automatic driving, internet medical treatment, online forum and community question answering.

A computer implemented method and system for managing financial data (FD) in real time provides a financial management platform (FMP) that aggregates and categorizes FD from financial user accounts and generates an N-dimensional financial format (NDFF) to store and render the aggregated and categorized FD in a transformed and modifiably categorized configuration on a graphical user interface (GUI). The FMP computes current metrics using the aggregated and categorized FD. The FMP dynamically adapts the current metrics to reflect changes caused by user interactions with interactive components and visualizations of the rendered FD in the NDFF on the GUI. The FMP generates dynamic real-time financial projections based on the computed and adapted current metrics and configurable parameters. A business intelligence platform integrated with the FMP provides real-time access of FMP FD and computations to third parties for analysis, real-time adaptation of business decisions, and financial regulation and monitoring of financial institutions.

A system for providing in response to changes within current operational data of a business enterprise, alert information including an alert to a wireless device in real-time. The system architecture includes an enterprise application integration services component for accessing and conditioning the current operational data and other business intelligence information. An analytics services component monitors for changes within the current operational data from a predetermined target level and communicates an alert and alert information if a change occurs. The analytics services component also extracts contextually-related first and second sets of critical business information, and converts the operational data, alert and alert information, and the first and second sets of critical business information into a device-independent, web-enabled format, which is then recoded by a delivery services component in accordance with the data delivery requirements of the wireless device. The alert and alert information will be displayed in the context of the current operational data and first and second sets of critical business information.

A business intelligence and data management system is disclosed comprising a database for storing multi-dimensional business data from multiple online educational institutions; a usage tracking engine for recording within a user profile the time and duration of access to disparate system features. A reporting engine provides periodic and custom reports and a benchmarking engine facilitates comparison of internal institution data with aggregate data from multiple institutions, to compare student retention, course completion, student satisfaction, and student performance. The reporting engine provides reports on course retention rates, course evaluations, faculty evaluations, enrollment, student performance, and course run rates. The usage tracking engine, benchmarking engine, and reporting engine facilitate determination of best practices to improve student enrollment, student retention, course completion, student performance, and student satisfaction. A custom query engine facilitates freeform searches of business data and a data mining engine provides access to detailed data supporting the periodic reports.

A method and system is provided for use in business intelligence and reporting. The method and system are able to implement one or more definable actions when presented with data. The data may be produced by a business intelligence application. The actions may relate to activities performed by a user or an agent. The system comprises an action manager, a repository, a data association manager and an implementation engine. In one embodiment a data mining engine is provided. The system enables the availability of an action in response to the execution of analytic queries to be determined based on a relationship defined by the data association manager. If an action is available, an action definition is used to invoke a target in response to selection of the action by an entity, the invocation of the target including propagating data produced by an analytic engine into the target based on metadata to perform the action.

A system and method for gathering and distributing data. The system is for extracting information from the world wide web and classifying the information in accordance with certain profiles. The information may include business intelligence, which may be categorized according to its relevance to predefined industry profiles or company profiles. The information may be further categorized according to its relevance to particular countries. If the information relates to a new company, the system builds a new company profile based upon the information. Users may create a user profile containing their information preferences, such as industry groups or particular countries or companies, and the system provides reports or alerts to the users referencing extracted information that is filtered by the user profile.

According to one embodiment, a computer-implemented method for measuring and reporting business intelligence based on comments collected from web page users using software associated with accessed web pages includes: using a computer system, accessing a plurality of user comments collected from users of one or more web pages using feedback collection software that provides users who access a particular web page a viewable element through which to provide their comments regarding one or more aspects of a business associated with the particular web page; using a computer system, associating each of the plurality of collected user comments with one or more of a plurality of predefined business-related categories; and using a computer system, generating a report identifying, for each of the plurality of predefined business-related categories, one or more quantitative values derived from the collected user comments associated with that business-related category.

An integrated health care delivery network with enabling software and network technology to maximize bed resources, manage varying census levels, and avoid patient diversions through real-time monitoring, automation and communication, is disclosed. Preferably, the present invention is embodied in a Patient Agent Throughput Management System that interfaces with and complements the following existing healthcare facility systems: Admission / Discharge / Transfer (ADT); Scheduling System; Bed tracking (for housekeeping purposes); Security; Clinical Information Management; Human Resources; and Physician Information Management. The “Patient Agent” system is an easy-to-use business intelligence application that is designed to allow administrators, clinicians and managers to easily access, analyze and display real-time patient, staff and bed availability information from clinical and ancillary information systems. It enables users to see trends and relationships in hospital management data directly from their desktop personal computers.

In general, the invention relates to a business intelligence platform. In one aspect, data is logged such that information about execution instances can be obtained. In another aspect, action sequences are developed, stored, and executed, such that use of a variety of components can be specified.

The present method and apparatus provides for automated testing of data integration and business intelligence projects using Extract, Load and Validate (ELV) architecture. The method and computer program product provides a testing framework that automates the querying, extraction and loading of test data into a test result database from plurality of data sources and application interfaces using source specific adaptors. The test data available for extraction using the adaptors include metadata such as the database query generated by the OLAP Tools that are critical to validate the changes in business intelligence systems. A validation module helps define validation rules for verifying the test data loaded into the test result database. The validation module further provides a framework for comparing the test data with previously archived test data as well as benchmark test data.

A method of optimizing a first set of graphical display elements on a client device. The method also includes coupling a first server to the client device by a first connection; coupling a second server to the client device by a second connection; and generating the first set of graphical display elements on a first server, wherein the first set of graphical display elements further comprises a first graphical display element and a second graphical display element. The method further includes generating a second set of graphical display elements on a second server; transmitting the first set of graphical display elements from the first server to the client device; and transmitting the second set of graphical display elements from the second server to the client device, wherein a third set of graphical display elements is created in a first window comprising the first set of graphical display elements and the second set of graphical display elements. The method also includes generating a set of data stream elements on the first server, and further comprising a first data stream element and a second data stream element, wherein the first data stream element is associated with the first graphical display element, and the second data stream element is associated with the second graphical display element; and creating a second window on the client device, wherein the first set of graphical display elements is coupled to the second window, and the second server is coupled to the second window; and wherein the first graphical display element retrieves and renders the first data stream; and, the second graphical display element retrieves and renders the second data stream.

Broadly, the invention provides an Electronic Marketplace Solution (EMS) which may be embodied, in part or in whole, as a method, system or computer readable medium of instructions. The invention provides a business to business Internet portal serving companies operating within the convenience marketplace. In one embodiment, the invention is an Internet portal which assists: Independent Convenience Retailers through the provision of a single system to sell, buy and pay for goods / services and manage their business more effectively; Organised Convenience Groups, by providing them access to improved network management, the ability to ensure compliance and the ability to reduce costs; FMCG Manufacturers in the areas of secondary supply chain efficiencies, by improved business intelligence and direct access to Convenience Retailers; Wholesalers / Logistics Providers, for reduced costs and improved efficiency and enabling them to expand their customer base; and / or Service Providers, by enabling them to more efficiently reach a large target market.

A system and method for enabling coordinated, collaborative, data-driven document negotiation among multiple, divergent parties, either internally or externally, in a virtual environment. A comprehensive, singular, transaction management platform that transforms documents from a manual, text-based and paper-laden business and legal process into a data-driven experience via a negotiable transaction environment. The system streamlines and automates coordination of the life cycle of a binding document from deal origination to collaborative negotiation to executed agreement to archival to system-generated analytics. A term-based engine replaces the manual business and legal processes, and streamlines management of communication, approvals, signatures, commenting, recordkeeping and documentation. It provides a collaborative process for authoring text-based terms, as an alternative to an iterative, sequential drafting process; and an online, real-time searchable history of all changes for later discovery and / or compliance. As the system gathers data from transaction activity and final agreement, it dynamically builds workflow deliverables as well as analyzes resultant data and creates actionable business intelligence.

The invention enhances business intelligence systems by allowing both report authors and consumers (users of reports) operating in their individual choice of interface language to have full access to content (data) in that language, or in any one of a number of languages. This functionality is provided by the inclusion of at least two locales. The invention provides for defining locale mappings, mapping a locale from an unsupported locale to supported locale, defaulting to a valid locale for users with incomplete or invalid locale specifications, and for specifying object names, descriptions, and tips in multiple languages. Report authors do not need to know in advance which locale is to be used and this makes their job simpler

In one embodiment, the present invention provides a data stream reference module 250 that can enable a user to perform forward tracing, backward tracing, and tracing indirect dependencies in a data model and / or metadata model. The tracing is not necessarily along a common hierarchical level but can be from one level to another.

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.