395 results about "Business activities" patented technology

A process control system uses a data collection and distribution system and an asset utilization suite to collect data or information pertaining to the assets of a process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the process performance monitoring functional areas. This data and information is manipulated in a coordinated manner by the data collection and distribution system and is redistributed to other applications where this it is used to perform overall better or more optimal control, maintenance and business activities. Information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of a device, loop, unit, area, etc. and this information may then be sent to and displayed to a process operator or maintenance person to inform that person of a current or future problem. A user interface is provided that enables users to access and manipulate the expert engine to optimize plant operation or cause optimization of plant operation, to get information about the operation of the plant, etc. Furthermore, applications, such as work order generation applications may automatically generate work orders, parts or supplies orders, etc. based on events occurring within the plant.

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.

An architecture, system, and method are provided for a commitment loop solution for on demand business activity management. A Business Performance Management (BPM) loop is defined as a set of nodes each relating to different tasks for processing performance management trigger data generated by a business entity in real time, where the beginning or sensing element of the loop is triggered by a token (representing a business event from a business process) and the ending or executing element provides a business action to be implemented by the business entity. The token is passed from node to node sequentially in a particular order around the loop. Processing of the data represented by the token is governed by policies, which can be changed dynamically and follow a life cycle. On demand business activity management of larger aggregates of business entities (i.e. enterprises and value chains) is achieved by extending this architecture by building upon the BPM loops of the component entities to form a BPM net, adding nodes as necessary. This architecture, system and method can be implemented at multiple levels of granularity from operational or tactical business activities to enterprise wide strategic activities.

A process plant uses an asset utilization expert to collect data or information pertaining to the assets of the process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the business systems functional areas. This data and information is stored in a database and is sent to and manipulated in a coordinated manner by tools, such as optimization and modeling tools. This data is also redistributed to other areas or tools where it is used to perform overall better or more optimal control, maintenance and business activities. Information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of a device, loop, unit, etc. and this information may then be sent to and displayed to a process operator or maintenance person to inform that person of a current or future problem.

A method is provided for conducting surveillance on a network. Data is captured on a network for a plurality of aggregated channels. The data is from individuals with network access identifiers that permit the individuals to gain access to the network, or applications on the network. The data is used to construct a plurality of session data streams. The session data streams provide a reconstruction of business activity participated in by the application or the individual with the network. A window of data is read in at least one of the plurality of session data streams to determine deviations. The window of data is tested against at least one filter. The at least one filter detects behavioral changes in the applications or the individuals that have the network access identifiers to access to the network. Defined intervention are taken in response to the deviations.

A system for managing large quantities of business related documents stored electronically requires little or no reliance on the corresponding hardcopy versions. The management system data includes a processing approach that allows for the creation of documents electronically, i.e., by virtual documents the system users in concert with their everyday business activities-thus overcoming the previous difficulty in implementing paperless office environments. In particular, essentially all documents are stored as system available image files on a central image server. Organization of these image based virtual documents are created during initial document review by the users having review responsibilities in the first instance. During the review process, the system provides a highly intelligent user interface which permits the creation of indexing values corresponding to the document in a highly simplified and intuitive manner. This permits the rapid and burden free preparation of document indices to support useful interaction with the image based virtual document-thus eliminating the need for any supporting hardcopy.

Information on business activities of an enterprise to be examined is accumulated on an ASP server from a terminal of the enterprise through a network such as the Internet. An examiner such as a financial institution evaluates the activities of the enterprise based on the information on business activities of the enterprise accumulated on the ASP server to examine the enterprise. The examination typically is an examination for determining whether a new loan can be offered to the enterprise.

Configuring a set of guided documents for operation of a business activity based on a workflow for the activity, industry expertise, and a plurality of models of source data that is relevant to the business activity, wherein points of entry to access the guided documents are organized around one or more industry-specific data dimensions.

This invention uses linguistic principles, which together can be called Collocational Cohesion (CC), to evaluate and sort documents automatically into one or more user-defined categories, with a specified level of precision and recall. Human readers are not required to review all of the documents in a collection, so this invention can save time and money for any manner of large-scale document processing, including legal discovery, Sarbanes-Oxley compliance, creation and review of archives, and maintenance and monitoring of electronic and other communications. Categories for evaluation are user-defined, not pre-set, so that users can adopt either traditional categories (such as different business activities) or custom, highly specific categories (such as perceived risks or sensitive matters or topics). While the CC process is not itself a general tool for text searches, the application of the CC process to large collections of documents will result in classifications that allow for more efficient indexing and retrieval of information. This invention works by means of linguistic principles. Everyday communication (letters, reports, emails-all kinds of communication in language) does follow the grammatical patterns of a language, but forms of communication also follow other patterns that analysts can specify but that are not obvious to their authors. The CC process uses that additional information for the purposes of its users. Any communication exchange that can be recognized as a particular kind of discourse may be used as a category for classification and assessment. Specific linguistic characteristics that belong to the kind of discourse under study can be asserted and compared with a body of general language, both by inspection and by mathematical tests of significance. These characteristics can then be used to form the roster of words and collocations that specifies the discourse type and defines the category. When such a roster is applied to collections of documents, any document with a sufficient number of connections to the roster will be deemed to be a member of the category Larger documents can be evaluated for clusters of connections, either to identify portions of the larger document for further review, or to subcategorize portions with different linguistic characteristics. The CC process may be extended to create a roster of rosters belonging to many categories, thereby increasing the specificity of evaluation by multilevel application of this invention. The CC process works better than other processes used for document management that rely on non-linguistic means to characterize documents. Simple keyword searches either retrieve too many documents (for general keywords), or not the right documents (because a few keywords cannot adequately define a category), no matter how complex the logic of the search. Application of statistical analysis without attention to linguistic principles cannot be as effective as this invention, because the words of a language are not randomly distributed. The assumptions of statistics, whether simple inferential tests or advanced neural network analysis, are thus not a good fit for language. This invention puts basic principles of language first, and only then applies the speed of computer searches and the power of inferential statistics to the problem of evaluation and categorization of textual documents.

According to the invention, techniques for profiling of human behavior based upon analyzing data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides for creating a dynamic customer profile by analyzing relationships in data from one or more data sources of an enterprise. The method can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The method is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. The human behavior profiled is typically that of a customer, but can be any other type of human behavior. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

Institutional risk is calculated by collecting information about the products and services offered by an institution and assigning a risk value to each product and service. Other aspects and components of an institution are also assigned risk values. The various risk values are calculated along with institutional controls that are in place to mitigate risk in order to determine an overall residual risk assessment for the entity. Forecasts can be made for an institution by adding new or subtracting current business activities and/or institutional controls and calculating an alternative overall residual risk assessment.

Some embodiments provide a data intelligence extraction system for extracting intelligence from different events that are generated by separate and independently operating event generating sources within a business, wherein each event generating source records some set of business activities and the data associated with those activities. The intelligence that the system extracts includes a cradle-to-grave accounting for the engagement that different entities have with a business over the entirety of the entity-to-business relationship. This cradle-to-grave accounting is formed by the system linking events that are related causally, temporally, or on the basis of an entity to which they relate. The system then constructs data assets to capture the data from the linked events, and in so doing, provide the business with assets that compile the data the business has obtained on the different entities over the cradle-to-grave engagement with those entities.

A process control system uses an asset utilization expert to collect data or information pertaining to the assets of a process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the business systems functional areas. This data and information is manipulated in a coordinated manner by tools, such as optimization and modeling tools and is redistributed to other areas or tools where it is used to perform overall better or more optimal control, maintenance and business activities. Information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of a device, loop, unit, etc. and this information may then be sent to and displayed to a process operator or maintenance person to inform that person of a current or future problem.

A system and method for extracting process sequences from application data is provided. The method includes extracting process sequences from one or more applications' historical data in a non-intrusive manner. Firstly, data events in application data sources are read and then mapped to business activities. While reading the data events, a correlation identifier is identified which is later used to correlate business activities to create the process instance sequences. The system and method may be used to extract process sequences of multiple processes simultaneously. Process sequences may further be used for the purpose of mining processes from legacy systems for compliance checking solutions and for identifying how individual process instances are executed.

A method and system is presented for defining a technique that uses business process, business activities, and data model and mapping to define a best-practice business and Information Technology (IT) blueprint to address client transformation to a new architecture. The present invention defines an eight step Business Architecture Analysis Process (BAAP) that evaluates business processes, including IT and non-IT components of a client business to create a Business Architecture Analysis (BAA) based on a fit/gap closure project list.

According to the invention, techniques for visualizing customer data contained in databases, data marts and data warehouses. In an exemplary embodiment, the invention provides a apparatus for graphically analyzing relationships in data from one or more data sources of an enterprise. The apparatus can be used with many popular visualization tools, such as On Line Analytical Processing (OLAP) tools and the like. The apparatus is especially useful in conjunction with a meta-model based technique for modeling the enterprise data. The enterprise is typically a business activity, but can also be other loci of human activity. Embodiments according to the invention can display data from a variety of sources in order to provide visual representations of data in a data warehousing environment.

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).

The invention relates to a computer application in the field of control, monitoring, modification and/or optimization of processes which comprise real process sequences of discrete events, so-called "discrete event dynamic systems", which cannot usually be described by systems of (differential) equations. Such processes occur for example in technical developments as well as in other business activities in the industrial or tertiary sector. Such a real process is reflected in a process model which is connected to the real process via at least one interface. If the interface(s) is/are bi-directional, real process data can be transmitted into the model directly, i.e. without data conversion, and thus the real process can be monitored; in the model, simulations can be carried out with changed process data; and finally if the result of the simulation is successful, process modifications can be transferred directly to the real process.