This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Frank Le - Innovator in Data Quality Assessment
Introduction
Frank Le is an accomplished inventor based in Palo Alto, CA (US). He has made significant contributions to the field of data quality assessment, particularly in the context of data migration. His innovative approach focuses on ensuring the integrity and accuracy of data during the integration process.
Latest Patents
Frank Le holds a patent for "Just-in-time data quality assessment for best record creation." This patent discloses systems and methods for assessing data quality at the moment it is needed, specifically during data migration. The invention includes a data steward that provides tools for creating and editing a best record creation strategy. This strategy defines how records from multiple systems will be integrated into target systems. At design time, the data steward can generate best record creation and validation rules based on this strategy. The effectiveness of these rules can be evaluated by assessing the number of fields in a sample set that fail validation. This ensures that the best records created comply with the established strategy.
Career Highlights
Frank Le is currently employed at SAP SE, where he continues to develop innovative solutions in data management. His work has been instrumental in enhancing the quality of data integration processes. With a focus on practical applications, Frank has contributed to the advancement of data stewardship practices.
Collaborations
Frank collaborates with talented professionals such as Abhiram Gujjewar and David Kung. Their combined expertise fosters a creative environment that drives innovation in data quality assessment.
Conclusion
Frank Le's contributions to data quality assessment through his patent and work at SAP SE highlight his role as a key innovator in the field. His efforts ensure that data migration processes are efficient and reliable, ultimately benefiting organizations that rely on accurate data.
