Abstract: A system for representing information and decision flow requirements in a transactional business process is provided. The system comprises an information gathering object and a decision object. The information gathering object represents a piece of information used in the transactional business system and the decision object represents a satisfying condition for achieving an objective associated with the transactional business system. The system further comprises one or more information channels that link the information gathering objects to the one or more decision objects. The information channels represent the information and decision flow requirements within the transactional business system.

Abstract: A system for representing information and decision flow requirements in a transactional business process is provided. The system comprises an information gathering object and a decision object. The information gathering object represents a piece of information used in the transactional business system and the decision object represents a satisfying condition for achieving an objective associated with the transactional business system. The system further comprises one or more information channels that link the information gathering objects to the one or more decision objects. The information channels represent the information and decision flow requirements within the transactional business system.

Abstract: A method for reengineering of a business process. The method includes extracting baseline information requirements of at least one business process, wherein the step of extracting includes interviewing a process owner of each of the sub-processes of the business process based on a predetermined questionnaire and quantifying information requirements of each of the sub-processes of the business process based on the questionnaire. The method also includes displaying the baseline information requirements in a predetermined matrix structure and prioritizing opportunities for removing information bottlenecks in the at least one business process using the predetermined matrix structure.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in relational tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

Abstract: A digital cockpit allows a cockpit user to “steer” a business in the same manner that a cockpit of an airplane is used to control the airplane. A number of digital cockpit features enable this functionality. For example, the digital cockpit provides an efficient mechanism for providing prompt reporting regarding a business's past behavior, its current behavior, and its projected future behavior. The digital cockpit uses a suite of business models to provide such information. The digital cockpit further includes mechanisms for allowing a user to carry out desired control of the business by making changes to the business's processes and associated systems. Further, the digital cockpit provides a modular design which allows for the efficient plug-in and modification of business models.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in relational tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.