La Jolla, CA, United States of America

Kenneth W O'Flaherty


Average Co-Inventor Count = 2.6

ph-index = 8

Forward Citations = 2,493(Granted Patents)


Location History:

  • Del Mar, CA (US) (1997 - 1998)
  • San Diego, CA (US) (2001)
  • La Jolla, CA (US) (2003 - 2007)

Company Filing History:


Years Active: 1997-2007

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8 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Kenneth W O'Flaherty

Introduction

Kenneth W O'Flaherty is a notable inventor based in La Jolla, California. He has made significant contributions to the field of Customer Relationship Management (CRM) through his innovative patents. With a total of 8 patents to his name, O'Flaherty has focused on integrating predictive models into business analysis processes.

Latest Patents

One of his latest patents is titled "Incorporating predictive models within interactive business analysis processes." This CRM system is designed for business users who may not be familiar with data mining techniques. The system utilizes a model-building mechanism within a data mining subsystem to accept input attributes, perform calculations, and generate output attributes. Another significant patent is "Building predictive models within interactive business analysis processes." This system dynamically constructs predictive models, allowing users to make informed predictions based on training segments of records.

Career Highlights

Kenneth W O'Flaherty is currently employed at NCR Corporation, where he continues to develop innovative solutions in the realm of CRM. His work focuses on making complex data analysis accessible to business users, thereby enhancing decision-making processes.

Collaborations

O'Flaherty has collaborated with talented individuals such as Tejwansh S Anand and Michael A Georgantos, contributing to the advancement of technology in his field.

Conclusion

Kenneth W O'Flaherty's contributions to the field of CRM through his innovative patents demonstrate his commitment to improving business analysis processes. His work continues to impact the way businesses utilize data for decision-making.

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