Mannheim, Germany

Yannik Hahn

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: Yannik Hahn: Innovator in Data Modeling

Introduction

Yannik Hahn is a notable inventor based in Mannheim, Germany. He has made significant contributions to the field of data modeling, particularly through his innovative patent. His work focuses on improving data modeling techniques, which are essential in today's data-driven world.

Latest Patents

Yannik Hahn holds a patent titled "Automatic enforcement of standardized data model mapping." This patent presents techniques and solutions for enhanced data modeling, including methods that facilitate data model comparison, integration, or deployment. The core data model created in this patent consists of various elements that represent semantic concepts, including the relationships between these concepts. The patent outlines a process where multiple domain models are mapped to core data model elements, ensuring that when a domain model element is created, it is appropriately linked to a core data model element. This mapping process is crucial for establishing relations between domain model elements, allowing for effective comparison across different domain models.

Career Highlights

Yannik Hahn is currently employed at SAP SE, a leading company in enterprise software. His role at SAP SE allows him to apply his innovative ideas and contribute to the development of advanced data modeling solutions. His expertise in this area has positioned him as a valuable asset to the company.

Collaborations

Yannik collaborates with talented individuals such as Jan Portisch and Michael Hladik. These collaborations enhance the innovative environment at SAP SE and contribute to the advancement of data modeling techniques.

Conclusion

Yannik Hahn's contributions to data modeling through his patent and work at SAP SE highlight his role as an influential inventor in the field. His innovative techniques are paving the way for improved data integration and comparison, which are vital in the modern technological landscape.

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