106 results about "Business impact" patented technology

A system architecture and a method for management using a cellular architecture to allow multi-tier management of events such as the managing of the actual impact or the potential impact of IT infrastructure situations on business services. A preferred embodiment includes a high availability management backbone to frame monitoring operations using a cross-domain model where IT Component events are abstracted into IT Aggregate events. By combining IT Aggregate events with transaction events, an operational representation of the business services is possible. Another feature is the ability to connect this information to dependent business user groups such as internal end-users or external customers for direct impact measurement. A web of peer-to-peer rule-based cellular event processors preferably using Dynamic Data Association constitutes management backbone crossed by event flows, the execution of rules, and distributed set of dynamic inter-related object data rooted in the top data instances featuring the business services.

A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis driven simulations of alternate candidate business actions has been devised and reduced to practice. This business operating system may be used predict the outcome of enacting candidate business decisions based upon past and current business data retrieved from both within the corporation and from a plurality of external sources pre-programmed into the system. Both single parameter set and multiple parameter set analyses are supported. Risk to value estimates of candidate decisions are also calculated.

A system and method for event correlation and adaptive rules optimization in the context of a trouble ticket resolution system. The adaptive rules optimizer incorporates learning principles that achieve a high degree of automation while leaving control in the hands of an operator. To mitigate the effects of possible errors, the adaptive rules optimizer switches from hard decisions to soft decisions. The tickets in the queue and their related events are prioritized to mimic the best practices introduced by the support team handling the given problem, to take into account the business impact so that at each point in time the operator's work provides maximum overall benefit and to provide all auxiliary information that may be instrumental in the problem resolution process.

A method of performing oilfield operations for an oilfield having a subterranean formation with a reservoir therein is provided. The method involves generating a business analysis of the oilfield based on business inputs, generating an operational analysis of the oilfield based on operational inputs, and selectively integrating the business analysis with the operational analysis by using the operational outputs as at least a portion of the business inputs and by using the business outputs as at least a portion of the operational inputs to form an integrated oilfield analysis. The business analysis includes business outputs for characterizing the business impact of projects performed on the oilfield. The operational analysis includes operational outputs for characterizing the operational impact of projects performed on the oilfield. The integrated oilfield analysis includes integrated oilfield outputs for characterizing the business and operational impact of projects performed on the oilfield. The method may also involve developing an oilfield plan based on the integrated oilfield analysis and implementing the oilfield plan.

Improved reliability, availability and / or maintainability metrics have been developed that account for customer perceived factors such as frequency of outage, duration of outages, business impact of outages, etc. In various realizations and exploitations, such improved metrics may be utilized for managing and / or monitoring availability of enterprise information services or suites, availability of individual computers, devices or facilities, and / or availability of particular functionality or subsystems of any of the above. In one exploitation, personnel management decisions and / or compensation levels may be based on achieved values for such improved metrics. In other exploitations, contractual commitments and / or incentive fees related to an installed system or systems may be based on such improved metrics.

A system architecture and a method for managing using a cellular architecture to allow multi-tier management of events such as the managing of the actual impact or the potential impact of IT infrastructure situations on business services. A preferred embodiment includes a high availability management backbone to frame monitoring operations using a cross-domain model where IT component events are abstracted into IT Aggregate events. By combining IT Aggregate events with transaction events, an operational representation of the business services is possible. Another feature is the ability to connect this information to dependent business user groups such as internal end-users or external customers for direct impact measurement. A web of peer-to-peer rule-based cellular event processors preferably using Dynamic Data Association constitutes management backbone crossed by event flows, the execution rules, and distributed set of dynamic inter-related object data rooted in the top data instances featuring the business services.

An object oriented design for an automated modeling system for mapping and monitoring the business roles and impact of elements within an IT Infrastructure that make up specific applications or business processes, spanning not only network elements, hosts, servers and programs but also users, company structure and processes. The design including: a series of collector modules for collecting relationship, modeling and status information from both IT and external non IT specific sources used to build a model of the application or process in the database and to gather data about activities occurring on the computer network from a business impact perspective; a series of visualizer modules for reporting monitoring activities conducted by the monitoring system; a modeling database for storing information collected by the collector modules; a series of correlator modules for automatically determining relationships between data objects stored in the database to build application models of individual applications in the context of business process and IT service delivery.

Techniques for accurate determination of service impact are provided by provisioning network deployed probes with actual business object information related to business entities, such as VPN sites. Such probes are capable of sending a network trap (or alarm) containing actual business information in response to detecting a loss of connectivity. As a result, service impact caused by the loss of connectivity may be determined accurately by simply parsing the contents of a network trap, thus avoiding the complication and inaccuracy of conventional impact analysis.

The present invention provides a method and system making it possible to reduce a description of the impact of a disaster on the world at large to measurable, firm-specific operational and financial implications. This makes it possible to bridge the divide between disaster prediction and business planning by facilitating the translation of physical and other effects of a disaster on a business into a dollars-and-cents impact. The present invention also allows a user to evaluate the costs and benefits of various disaster mitigation plans and / or policies and to understand the combined effects of multiple mitigation plans.

The invention discloses a method and system for analyzing the influences of electric power communication faults on services and belongs to the field of electric power communication. The system comprises a power grid service resource database and a database of association rules for alarm giving objects and transmission channels, a real-time acquisition module, a preprocessing module and a real-time analysis module. The preprocessing module is used for performing normalization processing on alarm information of a communication network acquired by the real-time acquisition module, matching the alarm information with the transmission channels and classifying the alarm information according to the transmission channels. The real-time analysis module is used for performing correlation analysis on the alarm information matched with the transmission channels, finding out source alarms, determining the degrees of the influences of the source alarm information on the transmission channels and then determining the influences of the alarms on power grid services. Through the method and system, the accuracy of the analysis result can be improved, and the degrees of the influences of fault events on power grid services can be analyzed in a more detailed mode.

The invention generally describes learning solutions and related methods for managing the learning and training needs of an organization in a manner that is responsive to dynamic business timelines, goals and strategic objectives. Business goals are determined through examination of existing business data sources, so as to tailor learning solutions to business impacts. Accurate computations of return on training investment are provided to allow accurate assessment of the effectiveness of training programs. Also disclosed are networks of learning platforms that together implement the learning solution by providing electronic tools and information sharing capabilities needed by a learning solution services provider to efficiently implement and manage learning efforts according to the business desires of a complex learner organization, while receiving organization performance data in order to compute and report performance measurements.

A financial methodology for the analysis of events' impact on media coverage and business, and predictive indications of movements of stock prices (or other financial instruments) triggered by media and business impact is described. The methodology is based on a numerical approach suitable for processing by a computer. It takes into account data outside the traditional realm of finance, such as public sensitivity to certain classes of events, and the correlation between media coverage and stock price performance during the course of an event.

A method, computer program product, and system for generating a roadmap visualization for a set of topics, comprising collecting topic data about each topic in a set of topics from an entity, analyzing the collected topic data to calculate one or more business scores for each topic, generating a visualization by plotting entity datapoints for each topic in a visualization format, where visual characteristics of the entity datapoints indicate the business scores for each topic, and displaying the visualization on a display device. The topics may relate to information technology, human resources, risk, audit, capital planning, research and development, or any other entity-related topic desired to be visualized, and the business scores may be any suitable information desired to be visualized, such as risk scores, business impact scores, implementation scores, or alignment scores.

The invention discloses a method and a system for power communication failure early warning analysis based on a network model and rule models. The method includes: (1) building the failure early warning analysis network model; (2) building the failure early warning analysis rule models by combining the network model; (3) reading and analyzing all the built rule models, and inputting the rule models to a rule inference engine; (4) acquiring communication network alarm and performance information for normalization, and then inputting the information into the rule inference engine; (5) enabling the rule inference engine to infer according to the performance early warning rule model and to give early warning signals according to a rule conclusion part; (6) enabling the rule inference engine to infer according to the service influence range rule model and to give influenced services and influenced degree of the services; and (7) giving failure handling suggestions according to an early warning handling expert experience repository. By the method and the system, early warning prompts can be automatically given in real time before failures occur, and early warning service influence range and early warning handling suggestions can be given so that a technical means is provided for stable operation of power communication grids.

The invention relates to a method which is used for the alarm correlation analysis of SDH equipment, and a device thereof. The method and the device consider the order of severity of SDH business impact caused by different faults in terms of an SDH transmission system, and differentiate a business alarm and a non-business alarm; a reasonable alarm processing rule is provided so as to satisfy the complexity and flexibility of the maintenance of a signal processing by the SDH business alarm; the self-learning processing of an alarm controlling rule is introduced and diversities related to equipment alarm in different periods are compatible; an alarm correlation analysis algorithm works closely with SDH business operation and maintenance experience to lead to the partitioning operation of a algorithm control logic and operational data. High-efficiency date modeling is combined to improve the execution efficiency of an algorithm analysis, thereby being beneficial to the determination of a source alarm fast carried out by a user.

The invention provides a human capital development framework which allows organizations to assess the business impact of human capital initiatives and guide their implementation. The invention further provides a four-tier tool for arriving at an assessment of an organization's human capital practices. The first tier includes a measurement of business results, the second tier involves key performance drivers which contribute to business results, the third tier involves human capital capabilities and the fourth tier involves human capital processes. Surveys are provided to collect data for each tier and a detailed report is generated based upon survey results.

The present invention discloses a method for quickly detecting impacts caused by database modifications to the current services. The method comprises the following steps: a) installing in a test environment an operating system and database software that are the same as a production system; b) synchronizing metadata in the database of the production system to the database in the test environment, collecting statistics for SQL information more relevant to data sheet modifications and synchronizing the SQL information to the database in the test environment; c) simulating in the database in the test environment the modifications to be made in the database of the production system, and generating an execution plane after the modification; and d) comparing and analyzing performance changes in the test environment before and after the modification, and acquiring SQL statements whose access is affected. According to the method for quickly detecting impacts caused by database modifications to the current services provided by the present invention, a test environment that is the same as the production environment does not need to be set up, thereby preventing a large amount of time and huge human costs needed for synchronization of massive data, and accurately and quickly detecting impacts caused by the database modifications to the current services.

A method for automatically generating scheduling algorithms, including determining a scheduling policy for a plurality of jobs to be executed on a computer system, where the scheduling policy specifies an execution order of a plurality of jobs; using the scheduling policy in a production environment for a period of time, and collecting data indicative of a business impact of each job executed during the period of time; generating a list of all pairwise comparisons of business impact between the plurality of jobs, together with outcomes of the comparisons; marking each pair for which the comparison outcome is inconsistent with the relative execution order of the pair of jobs according to a predefined criteria to create a reinforcement learning batch; and using the reinforcement learning batch to adjust a decision criteria used to determine the scheduling policy.

The invention discloses a performance test equipment of signal transmission network and a method thereof, and the performance test method comprises the steps that: A. a test model is set to configure various parameters; B. the test model is submitted to a foreground process module and test-start instruction is sent to the test model; C. the test starts and the foreground process module confirms flow models with different types and performance statistical data that needs to be collected according to the parameters of the test model, and sends test messages to the tested protocol process in sequence to yield the corresponding flow on the basis of the flow models with different types; simultaneously, the foreground process module collects the performance statistical data and the collected performance statistical data is returned to a program module of a background PC, and then stored and displayed. By adopting the invention, business impact can be avoided and the performance statistics which test self performance of each protocol of Sigtran can be realized under the various flow models while the test model can be flexibly defined along with the development of requirement.

A system and methods are provided for identifying conversations in tweet streams. A method includes grouping tweet messages in the tweet streams into tweet groups, responsive to hashtags therefor and time intervals in which the tweet message were sent. The method further includes splitting the tweet groups into subgroups responsive to secondary hashtags and a time separation between the tweets messages. The method also includes clustering any of the subgroups into a respective same conversation responsive to word occurrences, word frequencies, and account holders. The method additionally includes merging any of the subgroups having different hashtags into the respective same conversation responsive to overlapping glossary and account lists. Each of the tweet groups and each of the subgroups correspond to a respective different one of the conversations when unable to be split, clustered, or merged.

Methods are disclosed for providing business continuity. In one implementation, a business impact analysis method is provided for determining time-critical business units in an organization. The method includes estimating a set of time values for a business unit, the set of time values indicating points of time when a business impact of the business unit will increase, and calculating a resilience impact rating of the business unit based on the estimated time values, wherein the resilience impact rating provides a metric for quantifying a time-criticality of the business unit. The method further includes setting an impact threshold at a specific resilience impact rating value, and identifying the business unit as time-critical business unit if the resilience impact rating is greater than or equal to the impact threshold.

The invention discloses a system alternation risk control method based on business. The system alternation risk control method comprises the following steps that firstly, all business procedures of a system are acquired; secondly, the business impact factors of all the business procedures are extracted; thirdly, the alternation risk values of all the business procedures are calculated according to the impact coefficients of the business impact factors; fourthly, the alternation risk values of all the business procedures are integrated, and the system alternation risk value is obtained. According to the system alternation risk control method based on business, due to the fact that the business impact factors of all the business procedures are extracted, the alternation risk values of all the business procedures are calculated according to the impact coefficients of the business impact factors, the alternation risk values of all the business procedures are integrated, the system alternation risk value is obtained, and the alternation risk calculation is carried out on all the business procedures with the business as the breakthrough point, the system alternation risk value is visually and accurately worked out, and the controllability of system alternating is greatly enhanced.

The invention provides a marketing method, device and system, and the method comprises the steps: determining a target area of an offline store, and enabling the target area to be a business influencerange of the offline store; acquiring user information of all base stations in the target area; screening out a target user from the user information; and pushing a marketing strategy to the target user. Therefore, the accurate drainage of the potential users of the offline store is realized, and the marketing effect of the offline store is improved.

A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis driven simulations of alternate candidate business actions. This business operating system may be used predict the outcome of enacting candidate business decisions based upon past and current business data retrieved from both within the corporation and from a plurality of external sources pre-programmed into the system. Simulations using this data and predefined parameters to create models of actors are then run. Risk to value estimates of candidate decisions are also calculated.

A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis driven business decisions and analysis driven simulations of alternate candidate business action comprising a business data retrieval engine stored in a memory of and operating on a processor of a computing device, a business data analysis engine stored in a memory of and operating on a processor of a computing device and a business decision and business action path simulation engine stored in a memory of and operating on a processor of one of more computing devices has been developed.

Techniques for accurate determination of service impact are provided by provisioning network deployed probes with actual business object information related to business entities, such as VPN sites. Such probes are capable of sending a network trap (or alarm) containing actual business information in response to detecting a loss of connectivity. As a result, service impact caused by the loss of connectivity may be determined accurately by simply parsing the contents of a network trap, thus avoiding the complication and inaccuracy of conventional impact analysis.

The invention discloses a path calculation method based on a PCE in an optical network. The PCE path calculation process comprises the following steps of: dividing N services in a buffer into a group for uniform processing; calculating the shortest path of each service and carrying out wavelength reservation; sequentially checking whether the shortest path and a pre-request service have link overlapping when a post-request service path is failed in the calculation, if yes, regulating the path of the pre-request service; and analogically, finally enabling the service paths as much as possible to be calculated successfully. On the basis of considering the influence on the post-request service by the pre-request service and considering the influence on the pre-request service by the post-request service, the invention reduces the possibility of wavelength distribution conflict to a certain extent so as to achieve the aims of reducing service blocking rate and improving resource utilization rate in the optical network.

The invention discloses a distribution type dispatching method for asynchronous business. The method is used for dispatching the business to be processed for a business system. The method includes thesteps that S10, tasks are stored in a database, and set to be in a to-be-processed state; S20, the tasks are asynchronously obtained with distribution from the database, and the state of the tasks isupdated to be in processing; S30, the obtained tasks are dispatched to the business system to be processed; S40, the processed tasks are put into a processing finishing queue; 350, based on the processing finishing queue, the tasks in the database is updated to be in a finished-processing state. In addition, the invention discloses a corresponding system. Data can be traced and checked, a complete uniform guarantee mechanism is realized, and business influences caused by abnormity of all factors are eliminated; the method and the system have the advantages of being high in performance, concurrency and stability and the like, and can meet the scenes of existing business such as payment business.