Maple Grove, MN, United States of America

Christopher G Busch

USPTO Granted Patents = 1 

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Christopher G Busch: Innovator in Data Segmentation Technology

Introduction

Christopher G Busch is a notable inventor based in Maple Grove, MN (US). He has made significant contributions to the field of data segmentation, particularly in optimizing collection efforts for clients. His innovative approach combines various data inputs to enhance recovery strategies.

Latest Patents

Christopher holds a patent for an "Automatic Data Segmentation System." This invention includes a system and method for automatic data segmentation aimed at optimizing a client's collection efforts against individuals serviced by the client. The system utilizes accounts receivables data, historical payment data, and credit-related data to predict a recovery value for individuals. The recovery value is calculated as a weighted average of unit yield and recovery rate. Based on this predicted recovery value and client-defined segmentation boundaries, individuals are assigned to specific segments. This segmentation informs clients of tailored collection strategies to enhance their collection efforts. Additionally, the system allows for comparison of recovery values across multiple clients, providing insights into collection strategies on a national and demographic level.

Career Highlights

Christopher is currently employed at Experian Health, Inc., where he applies his expertise in data segmentation to improve client outcomes. His work focuses on leveraging data analytics to create effective collection strategies that benefit both clients and individuals.

Collaborations

Christopher collaborates with talented professionals such as Nathaniel W Lutz and Zackary Dixon, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Christopher G Busch is a pioneering inventor whose work in automatic data segmentation is transforming the way clients approach collection efforts. His innovative solutions are paving the way for more efficient and effective data management strategies.

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