Dallas, TX, United States of America

Susan Haslett


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 41(Granted Patents)


Company Filing History:


Years Active: 2004-2011

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3 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Susan Haslett

Introduction

Susan Haslett is a notable inventor based in Dallas, TX (US). She has made significant contributions to the field of competitive rewards systems, holding a total of 3 patents. Her work focuses on developing systems and methods that enhance the administration of competitive rewards databases.

Latest Patents

One of her latest patents is titled "Competitive rewards benchmarking system and method." This invention concerns a system and method for implementing and/or administering a competitive rewards database. Member data is received from at least one member computer via a data feed. The raw member data is automatically mapped and incorporated into the competitive rewards database. A data capture tool, preferably coupled to a data network, is operable to adjust the mapping of member data. Additionally, a rewards workbench, also preferably coupled to a data network, is generally operable to query the competitive rewards database. Another significant patent is "System and method for collecting and analyzing competitive rewards data," which shares similar functionalities and objectives.

Career Highlights

Throughout her career, Susan Haslett has worked with prominent companies such as Towers Perrin Forster & Crosby, Inc. and Towers Watson Pennsylvania Inc. Her experience in these organizations has contributed to her expertise in competitive rewards systems.

Collaborations

Some of her notable coworkers include Eric Zitaner and Kathy Bensky. Their collaboration has likely enriched the innovative processes and outcomes in their respective projects.

Conclusion

Susan Haslett's contributions to the field of competitive rewards systems are noteworthy. Her innovative patents and career experiences reflect her dedication to enhancing the efficiency of rewards databases.

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