32 results about "Business activity monitoring" patented technology

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 stabilization methodology and system component in Business Activity Monitoring and Management systems. This enables firms to use Business Activity Management (BAM) systems to manage business activity by only responding to monitored data when the overall business performance can be improved. This enables firms to identify appropriate tradeoffs between potentially conflicting objectives while meeting business objectives. Information from BAM systems are analyzed based on models of the business process and different information filter criteria are assessed for their impact on business performance indicators. Based on this, a filter criterion is chosen which is executed by an information filter. The outputs from the information filter are used as the basis for deciding the inputs for business process execution.

A system and method for constructing and deploying a business activity monitoring (BAM) dashboard associated with an event-based process are disclosed. A configuration module receives an event-based process identifier for an event-based process and data, such as inputs or outputs, for the event-based process. A generation module then generates a dashboard description that includes the identifier and an associated dashboard template having one or more dashboard components. This dashboard description is used by a dashboard server to automatically generate a BAM dashboard for monitoring the event-based process by using the association between the dashboard template and the event-based process to display data associated with the event-based process using one or more dashboard components.

In certain example embodiments of this invention, there is provided systems and / or methods for processing BAM-related data to predict when events of interest are about to happen and / or to identify the root causes of, or at least data correlated with, such events of interest. In certain example embodiments, key performance indicators (KPIs) are gathered and gardened. The gardening process may identify KPI values of interest (e.g., based on a Z-factor analysis thereof across one or more collection intervals). The gardened KPIs may be processed using a time-series transform (e.g., a Fast Fourier Transform), matched to one of a plurality of predefined waveforms, and fed into a dynamic Naïve Bayesian Network (NBN) for prediction. The gardened data also may be used to determine the relevance of the KPI for root causes of problems (e.g., based on a chi-square analysis).

Methods, systems, and computer program products for monitoring, aggregating, and correlating business events in real time and acting on the results with near zero latency, wherein each event is processed in the first order relative to the event density, are described herein. In an embodiment, the method operates by receiving historical values comprising keys and data fields at an analytic model. Rules associated with actions are applied to the historical values. Actions including updating data are executed pursuant to the rules, and then the method determines whether additional rules are to be applied; and performs actions associated with these additional rules until there are no remaining rules to apply. The method stores updated data in a database.

The example embodiments disclosed herein relate to application integration techniques built around the publish-and-subscribe model (or one of its variants). In certain example embodiments, application integration techniques for managing and / or monitoring a business process comprising a plurality of activities, events, and / or objects located in at least one resource external to the application integration system and a process engine thereof are provided. During design time, by introspecting the business object types involved in the activities, events, and / or objects of the at least one resource, potential state changes may be identified, and an integrative linkage may be established, with the integrative linkage being managed and maintained by a process monitoring agent (PMA). During runtime, the PMA may “listen” to the business object state changes in the at least one external resource and notify the local process engine accordingly.

A stabilization methodology and system component in Business Activity Monitoring and Management systems. This enables firms to use Business Activity Management (BAM) systems to manage business activity by only responding to monitored data when the overall business performance can be improved. This enables firms to identify appropriate tradeoffs between potentially conflicting objectives while meeting business objectives. Information from BAM systems are analyzed based on models of the business process and different information filter criteria are assessed for their impact on business performance indicators. Based on this, a filter criterion is chosen which is executed by an information filter. The outputs from the information filter are used as the basis for deciding the inputs for business process execution.

The invention provides novel systems, methods and software for business activity monitoring. In one aspect of the invention, for example, events can be monitored and / or evaluated before the data is stored in a database. This can provide for real-time business activity monitoring and, in some cases, can prevent the database from becoming a bottleneck in the monitoring process. Merely by way of example, a business activity monitor process might be implemented in a middleware layer between an enterprise application and the database that is used to store data for the application.

The invention relates to real-time event handling system and method based on cloud computing in a computer software system and belongs to the technical field of computer software application. The system comprises an SEDA (staged event-driven architecture) distributed message framework and a Redis (remote dictionary server) core memory processing framework. The method using the system includes receiving message operation and sending message operation. The distributed message framework and the Redis core memory processing frame are integrated by the method, and accordingly high-concurrent requests and large data volume processing requests can be handled effectively, a complex business logic processing process is achieved, the requirements for high-throughput and low-latency performance are met, system resources are controlled effectively, reliability of operation process is increased, objectives for staged design of performance and free extension within a certain range are reached, the real-time event handling system and method are suitable for business activity monitoring or quasi-real time analyzing systems which are strictly demanded for performance. The real-time event handling system is simple in structure and low in application cost.

An anomaly detector compares a first event from a business activity monitoring system to a second number from an independent trusted source, wherein the first event includes a first number. The anomaly detector determines that the first number from the business activity monitoring system is inconsistent with the second number. The anomaly detector generates a calibration relationship between first number and second number based on time, responsive to a determination that the first number is inconsistent with the second number. The anomaly detector stores the calibration relationship. The anomaly detector receives a third number from the business activity monitoring system at an interval after comparing the first number. The anomaly detector displays the third number to a dashboard. The anomaly detector displays a qualifier to the third number.

Embodiments of the present invention provide apparatuses and methods for a currency equivalency application for a business activity monitoring (BAM) applications. The currency equivalency application monitors business activities across international processes and systems that deal with multiple types of currencies. The user enters into the currency equivalency application user defined preferences, such as, but not limited to, the BAM application to which to apply the preferences, the type of currencies, value amounts, dates for the actual currency exchange rate, dates for future currency exchange rates, confidence scores, etc. The currency equivalency application identifies the proper exchange rates and in some cases estimates future exchanges rates, and converts the output for currency values in BAM applications into the user defined currency values, which allows the users across the world to quantify and view the currency value outputs in a form that the user understands.