Company Filing History:
Years Active: 2019
Title: Ben Jannis Freiberg: Innovator in Data Quality Solutions
Introduction
Ben Jannis Freiberg is a notable inventor based in Trier, Germany. He has made significant contributions to the field of data quality management, particularly through his innovative patent that addresses issues related to information stored across multiple data sources. His work is essential in enhancing the reliability and usability of data in various applications.
Latest Patents
Freiberg holds a patent for a method titled "Identifying and resolving data quality issues amongst information stored across multiple data sources." This patent focuses on techniques for identifying data quality issues such as missing values, inconsistent values, and un-translated values. The methods described in the patent implement actions to resolve these issues, thereby improving the consumption and use of stored information. The system can identify data quality issues in response to queries and utilize algorithms to distinguish between attributes with and without data quality issues.
Career Highlights
Ben Jannis Freiberg is currently employed at Amazon Technologies, Inc., where he applies his expertise in data management and quality assurance. His innovative approach to resolving data quality issues has positioned him as a valuable asset in the tech industry. His work not only enhances data integrity but also contributes to more efficient data utilization across various platforms.
Collaborations
Freiberg collaborates with talented professionals in his field, including Gregory Louis Chappell and Alexandros Zotos. These collaborations foster an environment of innovation and creativity, allowing for the development of cutting-edge solutions in data quality management.
Conclusion
Ben Jannis Freiberg is a pioneering inventor whose work in data quality solutions is making a significant impact in the tech industry. His patent addresses critical issues in data management, ensuring that information is reliable and usable. His contributions are vital for the advancement of data quality practices in various sectors.