Thang Q Hoang

Title: Thang Q Hoang: Innovator in Data Discovery and Risk Assessment

Introduction

Thang Q Hoang is a notable inventor based in Hackettstown, NJ (US). He has made significant contributions to the fields of data discovery and enterprise risk assessment. With a total of 2 patents, his work focuses on innovative systems and methods that enhance business operations.

Latest Patents

Thang Q Hoang's latest patents include a "System and method for recursively traversing the internet and other sources to identify, gather, curate, adjudicate, and qualify business identity and related data." This invention is designed for data discovery, allowing multiple sources to be examined recursively for relevant information. The process involves corroborating discovered data and metadata from various sources until no further relevant data is found. The curated data is then synthesized and clustered into composite records, ensuring reliability and usability for future inquiries.

Another significant patent is the "Enterprise risk assessment manager system." This intranet-based software provides automated risk assessment and portfolio management across enterprises. It aims to help companies reduce bad debt, decrease operational expenses, and increase cash flow. The system integrates business information associated with unique identifiers and displays data in multiple languages and currencies.

Career Highlights

Thang Q Hoang is currently employed at Dun & Bradstreet Corporation, where he applies his expertise in data management and risk assessment. His innovative contributions have positioned him as a key player in enhancing business intelligence solutions.

Collaborations

Thang has collaborated with notable colleagues, including Ken Tanzillo and David R Allaway, contributing to various projects that leverage their combined expertise in data and risk management.

Conclusion

Thang Q Hoang's work exemplifies the intersection of innovation and practical application in the fields of data discovery and risk assessment. His patents reflect a commitment to improving business processes and enhancing data reliability.