Jan Gottweiss

Title: **Innovative Contributions of Jan Gottweiss in Visualizing Time Series Data**

Introduction

Jan Gottweiss is an accomplished inventor based in Mosbach, Germany, celebrated for his groundbreaking work in the field of data visualization. With a focus on enhancing the understanding of time series data, Gottweiss has made significant strides that illustrate the importance of visual representation in data analysis.

Latest Patents

Jan Gottweiss holds a patent titled "Visualizing a Time Series Relation." This innovative patent describes a method for visualizing sensor data by sending requests to a data source to display information within a defined canvas width. The patent outlines a detailed process that includes receiving sets of tuples that represent time intervals, performing M4 aggregation to generate consecutive groups, and ultimately displaying these aggregates on a browser canvas as a chart. This technique allows users to efficiently interpret complex time series data and is integral for various applications in data analysis.

Career Highlights

Currently, Jan Gottweiss is employed at SAP SE, a leading enterprise software company known for its innovative solutions in business management and analytics. Throughout his career, Gottweiss has demonstrated a passion for advancing technology and improving user experiences through better data visualization techniques.

Collaborations

In his professional journey, Jan has collaborated with talented individuals such as Sven Peterson and Linda Jahn. These collaborations reflect a strong team approach to innovation, as they work collectively towards enhancing product offerings and developing powerful technological solutions.

Conclusion

Jan Gottweiss is a notable figure in the realm of data visualization, with a patent that showcases his inventive spirit and technical expertise. His contributions at SAP SE, along with his collaborative efforts with colleagues, position him as a pioneer in transforming how time series data is understood and utilized in various industries. As technology continues to evolve, Gottweiss's work will undoubtedly pave the way for future advancements in data analysis and visualization.