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: Embodiments of the present invention improve derivation of business processes. In one embodiment, the present invention includes a method of deriving business processes, the method comprising accessing a plurality of event logs, accessing predefined domain rules, associating the event logs with one or more business processes using a first plurality of the domain rules, and deriving a specification for one or more business processes based on a second plurality of the domain rules.

Abstract: A user interface for building a componentized workflow model. Each step of the workflow is modeled as an activity that has metadata to describe design time aspects, compile time aspects, and runtime aspects of the workflow step. A user selects and arranges the activities to create the workflow via the user interface. The metadata associated with each of the activities in the workflow is collected to create a persistent representation of the workflow. Users extend the workflow model by authoring custom activities.

Abstract: The invention describes a system and methods for analyzing and improving business operations. The system includes a plurality of business operations databases that contains a plurality of operational data obtained from a plurality of business organizations. The system provides for flexible user defined input and output of data and information flows that contribute to improving the operational effectiveness and productivity of a business entity. One method defines the process for identifying, analyzing and selecting the existing business process databases and information flows for performance, productivity, cost and organizational improvement. The other method includes the steps of gathering, storing and outputting a plurality of operational data obtained from a plurality of businesses in a flexible and confidential manner for each business entity. This method also includes the de-identifying of the database for a variety of secondary purposes, including research and development.

Abstract: Provides workflow systems and methods. A workflow system having a matchmaking unit for receiving a task query from a workflow, and a plurality of task definer units, each providing a definition of a task. The matchmaking unit communicates with the task definer units to evaluate the task definitions against the task query based on at least one property associated with each task definition and provides at least one of the task definitions to the workflow as offers based on the evaluation.

Abstract: A legal process management system facilitates simultaneous dynamic dialogs between legal process managers and networked attorneys and contractors providing services in connection with security interest enforcement actions (SIEAs). The legal process managers submit queries and deadlines selected to timely guide the attorneys and contractors through the requirements of the SIEAs. The attorneys and contractors submit responsive answers revealing the status of their SIEAs In some embodiments, an events based management system uses a stochastic model to calculate completion times for the milestones of the SIEA, including the “events” that make up subparts of the milestones. This provides a flexible and powerful system for managing prosecution of the SIEA and for predicting likely durations. The stochastic model incorporates the concept of both fixed-frequency events and random-frequency events, and also allows for both controlled events and managed events.

Abstract: In a system and method for conjoint analysis, corresponding utility values are determined for a plurality of individual concept elements and for combinations of multiple concept elements, e.g., pair wise combinations of concept elements. A regression technique, e.g., least squares linear regression, may be used to determine the utility values.

Abstract: An apparatus for evaluating organization efficiency, a method for evaluation service of organization efficiency, an apparatus for generating communication frequencies, a method for generating communication frequencies, and programs and recording media of the same, quantitatively evaluate efficiency of an organization structure.

Abstract: A method and system for obtaining and storing accurate skills data relative to human resource objects of an enterprise. Relevant data is extracted from runtime processes that monitor the activities of the human resource objects and a metric value indicative of a skill level attained for each of a list of skills is calculated for each human resource object.

Abstract: A method and system for a source participant assessing trustworthiness of a destination participant through one or more neighboring participants in a collaborative environment. The method comprises modeling all of the participants as network nodes and relationships between the participants as network paths and identifying a set of the network nodes and the network paths representing the neighboring participants that connects the network node of the source participant to the network node of the destination participant. Each of the network nodes of the neighboring participants as identified has a trust rating with best result, the trust rating is a relative measurement of feedback ratings. The trust rating of a first one of the network nodes of the neighboring participants as identified is computed with the feedback ratings between the first one of the network nodes and others of the network nodes directly connected to the first one of the network nodes.