Abstract: Predictive metric analysis for business management is divided into build time, corresponding to the business owner view of the enterprise, and run time, corresponding to the information technology view of the enterprise. The build time consists of a predictive model and a monitoring model. These models go through transformation processes to the components of the run time. The run time components are a Metric Value Prediction Service (MVPS), which receives as input predictive model transformation and outputs predicted metric values, and a monitoring engine, which receives as input monitoring model transformation, the predicted metric values and business events from the business process. Various analytical engines can be plugged in to provide the predictive capabilities. Input is provided to a framework from various business systems which results in predicting the value of the metrics across the future time horizons.

Abstract: Predictive metric analysis for business management is divided into build time, corresponding to the business owner view of the enterprise, and run time, corresponding to the information technology view of the enterprise. The build time consists of a predictive model and a monitoring model. These models go through transformation processes to the components of the run time. The run time components are a Metric Value Prediction Service (MVPS), which receives as input predictive model transformation and outputs predicted metric values, and a monitoring engine, which receives as input monitoring model transformation, the predicted metric values and business events from the business process. Various analytical engines can be plugged in to provide the predictive capabilities. Input is provided to a framework from various business systems which results in predicting the value of the metrics across the future time horizons.

Abstract: A mechanism provides a model-driven solution template-based approach for managed business services. Key assets of the business services are templatized and made configurable. The mechanism implements a metamodel describing standard service offerings that can be configured to meet specific business and operational requirements at a level of business process and system components. A cost and pricing model of service offerings helps assess the service costs and resource requirements based on a client's selection of standard and customized processes and system components. A supporting system solution is developed based upon underlying solution templates and solution artifacts as well as client-specific requirements.

Abstract: A system and method that implements top-down and bottom-up model-driven transformations between platform-independent (business view) modeling approaches and platform-specific (IT architectural) models. On the business level, business view models may be expressed in, but not limited to ADF or UML2, whereas on the IT architecture side, service-oriented architectures with Web service interfaces and processes are specified in business process protocol languages including, but not limited to, BPEL4WS, or workflow definitions. An architecture and a transformation method based on typed information flows automatically transforms platform-independent business models into executable information technology (IT) architecture specifications constrained by a specific IT platform, and vice versa. The models generated span the entire life cycle of a software system and ease the software production, deployment and maintenance tasks.

Abstract: A hybrid approach for capturing meta data about Business Processing Monitoring (BPM) artifacts is based on a combination of a relational meta data model and a semantic net. Meta data about metrics and situations and their dimensional context are first captured. Then, relational meta data are used to describe a generic data schema for metrics, situations and their dimensional context. The meta data from semantic nets are used to extend the meta data definitions. Data from a data warehouse are searched and managed with the schema described and managed with the relational and semantic net meta data.

Abstract: A framework is provided to serve on-demand business data and set up a business context hosting layer between the business logic and a display layer. An object extendable model is used to represent a KPI and to handle domain specific artifacts. The domain independent core component processes domain specific business data through meta data specification in its configuration. It provides a query mechanism that is suitable to retrieve KPIs with multi-dimension value. It allows other components to access the data in real time through multiple interfaces and provides notification capability whenever a KPI value changes.

Abstract: Meta-Rules are a special set of business rules whose purpose is to enable business rules selection and subsequent rule invocation by a business rules manager. Contained within a Meta-Rule are business policy and other information that enables the selection of a business rule used by a business application. Meta-rules allow the system to dynamically select and identify specific business rules to be executed within a given business application. By enabling a higher level of abstraction, and relying on rules to resolve specific business rule selection and invocations, Meta-rules further separate the binding of business knowledge and practice from application programming logic. The application programmer is freed from having specific knowledge of the business rule; all that is required is an assertion that a rule is to be used.

Abstract: Automomic business processes management solutions have capabilities to adapt themselves to changes in the business environment. These autonomic business solutions are built by wiring together autonomic solution components called BPbots (Business Process robots). BPbots are granular solution components representing an aspect of a business process. In general, BPbots consist of two parts, an execution module and a managerial module. The execution module represents the standard, non-autonomic solution component, such as a standard process flow model describing the long-running flow or business adapter describing the communication of the solution with service providers (such as applications). The managerial module is responsible for the autonomic behavior of the BPbot. The managerial component has the ability to monitor the execution module, analyze the performance, plan new, more appropriate execution patterns and change the behavior of the execution module according to the new plan.

Abstract: A system and method for creating and managing a business process integration solution comprises modeling a business strategy including elements representing business measurements and initiatives according to defined business goals and objectives of an entity; modeling business operations of the entity in terms of business process elements including process tasks, artifact flows and artifact repositories, and business commitment elements including incorporating key performance indicators; mapping elements of the strategy model with artifact and process elements of the operations model; and, measuring business performance and comparing performance measurements against the key performance indicators. The business strategy and operation model process elements may be continuously refined over a solution development lifecycle as a result of process measurements and comparing. A business level modeling language is further implemented for formally representing the business operations.

Abstract: A system for generating a business process integration and management (BPIM) solution includes an assembler which assembles a plurality of solution artifacts to form a platform-independent solution template, a template implementer which implements the platform-independent solution template to form a template implementation, and a customizer which customizes the template implementation to generate a BPIM solution.

Abstract: A system and method that implements top-down and bottom-up model-driven transformations between platform-independent (business view) modeling approaches and platform-specific (IT architectural) models. On the business level, business view models may be expressed in, but not limited to ADF or UML2, whereas on the IT architecture side, service-oriented architectures with Web service interfaces and processes are specified in business process protocol languages including, but not limited to, BPEL4WS, or workflow definitions. An architecture and a transformation method based on typed information flows automatically transforms platform-independent business models into executable information technology (IT) architecture specifications constrained by a specific IT platform, and vice versa. The models generated span the entire life cycle of a software system and ease the software production, deployment and maintenance tasks.

Abstract: A method and system of providing business solutions via a dynamic system. In order to provide business solutions, the method and system uses rules to formulate questions based on (i) specific industries, (ii) specific problems and/or (ii) specific answers in response to a dynamic set of questions (metrics), amongst others. These specific solutions may also be quantified in order to provide specific financial benefit analysis to the business using spreadsheets and financial software based on quantitative data provided by the user.