Asset Trust, Inc.

Other

Asset Reliance, Inc.

Jeff Scott Eder

An automated method, media and system for data unification that transforms disparate data from a plurality of sources into an integrated database. In the integrated database data are stored in at least one table in accordance with a common model or schema and a common metadata standard.

Automated data storage system

A data processing framework for financial services that supports the automated development and delivery of financial service products to a plurality of customers.

Data processing framework for financial services

An automated system, method and media for optimizing the impact of a subset of an organization such as purchasing on the financial performance of said organization.

Purchasing optimization system

A method of and system for transforming data from a plurality of systems into models of each of the segments of organization value and using said models to support the analysis, measurement and optimization of one or more aspects of organization risk and value.

Value and risk management system

An automated system () and method for analyzing, modeling and valuing elements of a business enterprise on a specified valuation date. The performance of the elements are analyzed using search algorithms and induction algorithms to determine the value drivers associated with each element. The induction algorithms are also used to create composite variables that relate element performance to enterprise revenue, expenses and changes in capital. Predictive models are then used to determine the correlation between the value drivers and the enterprise revenue, expenses and changes in capital. The correlation percentages for each value driver are then multiplied by capitalized value of future revenue, expenses and changes in capital, the resulting numbers for each value driver associated with each element are then added together to calculate a value for each element.

Method of and system for analyzing, modeling and valuing elements of a business enterprise

A system (), method and media for an entity centric computer that develops, entity knowledge before analyzing, applying, distributing, maintaining, replicating and/or synchronizing said knowledge as required and/or requested.

Entity centric computer system

An automated system () and method for developing Complete Context&#x2122; Bots () for an organization. After extracting data from existing narrowly focused systems, mission measures and organization levels are defined for one or more organizations. The elements, factors and risks that contribute to mission measure performance by organization level and organization are systematically defined and stored in a ContextBase () using up to six context layers. ContextBase () information is extracted for specified combinations of context layers, organization levels and organizations as required to produce complete context frames that are used to support simulations of bot performance under a variety of scenarios. The program instructions that will maximize bot performance under the forecast scenarios are identified. After this programming is transferred to the Complete Context&#x2122; Bot (), it is activated.

Automated bot development system

In a computer based inventory control method and system, feasible profit maximizing sets of requisitions are created. System processing starts with the creation of detailed, multi-dimensional forecasts of sales and cash receipts using stored algorithms and data preferentially extracted from a basic financial system and the adjustment of the forecasts to match the controlling forecast specified by the user. The adjustment of the forecasts is facilitated by the use of a calculated variable that defines the magnitude of the relative adjustment for each forecast element. All forecasts are adjusted to exactly match a controlling forecast which is either a multivalent combination of the previously generated forecasts or the user specified controlling forecast. The adjusted forecast of sales by item is then used in calculating a requisition set that satisfies expected demand while meeting user specified service level targets. A profit maximized requisition set is then created that utilizes vendor and unit of measure substitution under a variety of discount schedules to the extent possible within the user specified constraints. The processing completed by the system to determine the profit maximizing requisition set utilizes multi-objective, mixed-integer, linear programming techniques. A financial forecast is then calculated and displayed to determine if purchasing the profit maximizing requisition set will be feasible under the forecast financial conditions. Once the constraints and/or forecasts are adjusted as required to produce a feasible solution, processing advances to the profit enhancement stage where overall financial constraints are established and user specified constraints on commitment percentages, global unit of measure substitution and global vendor substitution are optionally relaxed and profit enhancing changes are calculated, stored and displayed. The user optionally accepts displayed enhancements and the financial forecast is recalculated to demonstrate the impact of the accepted changes before the requisitions are modified to reflect the accepted enhancements.

Growing community of inventors

Mill Creek, WA, United States of America

Jeff Scott Eder