CA

Richard Pellerin

This inventor holds 1 USPTO granted patent. Top assignee: Sap Ag. Active years: 2011.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2011

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1 patent (USPTO):Explore Patents

Title: Richard Pellerin: Innovator in Data Reconciliation Systems

Introduction

Richard Pellerin is a notable inventor based in California, recognized for his contributions to data reconciliation technologies. He holds a patent that outlines innovative methods and systems for receiving data, selecting condition tables, and applying rules to data. His work has significant implications for improving data accuracy and reliability in various applications.

Latest Patents

Richard Pellerin's patent, titled "Methods and systems for receiving data, selecting a condition table, selecting a ruleset based on the condition table, and determining and applying rules to data," focuses on reconciling data. The patent describes systems and methods that receive first data corresponding to an expected state of multiple objects and create second data reflecting their actual state. By comparing these two data sets, the systems can determine if the actual state aligns with the expected state. Additionally, the patent details how to apply rules to data based on selected condition tables and rulesets.

Career Highlights

Richard Pellerin is associated with SAP AG, a leading enterprise software company. His role at SAP AG allows him to leverage his expertise in data systems and contribute to the development of innovative solutions that enhance data management processes.

Collaborations

Richard has collaborated with esteemed colleagues, including Bernd G Lauterbach and Irena Kull, who share his commitment to advancing technology in data systems.

Conclusion

Richard Pellerin's work in data reconciliation systems exemplifies the impact of innovative thinking in technology. His patent and contributions at SAP AG highlight the importance of accuracy in data management, paving the way for future advancements in the field.

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