Bothell, WA, United States of America

Tavis Dean Elliott

USPTO Granted Patents = 6 

Average Co-Inventor Count = 1.7

ph-index = 3

Forward Citations = 58(Granted Patents)


Company Filing History:


Years Active: 2013-2019

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6 patents (USPTO):Explore Patents

Title: Tavis Dean Elliott: Innovator in Resource Allocation

Introduction

Tavis Dean Elliott is a notable inventor based in Bothell, WA (US), recognized for his contributions to resource allocation technologies. With a total of six patents to his name, Elliott has made significant strides in developing innovative solutions that enhance business systems.

Latest Patents

Elliott's latest patents include "Continuously variable resolution of resource allocation" and "Allocating heritage information in data models." The first patent focuses on creating a data model that generates a plurality of data objects, each containing multiple line items. It introduces allocation rules that help identify key features of these data objects, facilitating efficient resource allocation. The second patent addresses the inclusion of heritage information when allocating costs among various cost objects. It outlines a method for generating line items in target and source objects based on costs from heritage objects, ultimately leading to a final cost value for the target object.

Career Highlights

Throughout his career, Tavis Dean Elliott has worked with prominent companies such as Apptio, Inc. and Hewlett-Packard Development Company, L.P. His experience in these organizations has contributed to his expertise in resource allocation and data modeling.

Collaborations

Elliott has collaborated with notable professionals in his field, including Paul Damien McLachlan and William Byron Moeller. These partnerships have likely enriched his work and led to further innovations in resource allocation technologies.

Conclusion

Tavis Dean Elliott stands out as an influential inventor in the realm of resource allocation, with a proven track record of innovation and collaboration. His patents reflect a deep understanding of complex data models and their applications in business systems.

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