Company Filing History:
Years Active: 2014
Title: Sabine Hamlescher: Innovator in Data Quality Management
Introduction
Sabine Hamlescher is a notable inventor based in Bruehl, Germany. She has made significant contributions to the field of data management, particularly in enhancing data quality metrics within enterprise systems. Her innovative approach has led to the development of a patented system that integrates data quality assessments into enterprise data management processes.
Latest Patents
Sabine holds a patent for a "System and method for integrating data quality metrics into enterprise data management processes." This invention provides a method and system for assessing data quality stored in an enterprise database. In response to user requests or predetermined events, a profile is selected from a profile database, which includes rules for calculating data quality metrics and triggering workflow processes. The system receives data records from enterprise databases, calculates data quality metrics based on the established rules, and determines whether to trigger workflow processes based on these metrics. This innovative solution enhances the efficiency and reliability of data management in enterprises.
Career Highlights
Sabine is currently employed at SAP SE, a leading company in enterprise software solutions. Her work focuses on improving data quality management, which is crucial for organizations that rely on accurate data for decision-making. With her expertise, she has contributed to the development of systems that streamline data processes and enhance overall data integrity.
Collaborations
Throughout her career, Sabine has collaborated with esteemed colleagues such as Hartmut K Vogler and Suresh Babu. These partnerships have allowed her to leverage diverse expertise and drive innovation in her projects.
Conclusion
Sabine Hamlescher is a pioneering inventor whose work in data quality management has made a significant impact on enterprise data processes. Her patented system exemplifies her commitment to enhancing data integrity and efficiency in organizations.