Company Filing History:
Years Active: 2011
Title: Innovator Spotlight: Maria Potapova of Kenmore, WA
Introduction: Maria Potapova, an accomplished inventor based in Kenmore, Washington, has made significant contributions to the field of database visualization and management. With a keen focus on OLAP (Online Analytical Processing) databases, her innovative work has garnered attention for its ability to enhance user interaction and understanding of complex data attributes.
Latest Patents: Maria Potapova holds a patent for a "Visual system for visualizing, navigating, and editing attribute lattices within OLAP databases." This invention discloses various technologies and techniques for creating and managing a visual representation of OLAP attributes and relationships within a dimension. The patent outlines a method of generating a visual representation featuring an arrangement of shapes connected by lines, where each shape can contain one or more sub-elements. These connections symbolize the relationships between attributes in an OLAP dimension, allowing users to better navigate and edit the data through a visually intuitive interface.
Career Highlights: Currently, Maria works at Microsoft Technology Licensing, LLC, where her expertise in database systems is invaluable to ongoing innovations in data management technologies. Her singular patent reflects her deep understanding of the intersection between technology and user experience, marking her as a significant contributor to the advancements in the field.
Collaborations: Throughout her career, Maria has collaborated with talented colleagues, including Robert B. Zare and Adrian Dumitrascu. These partnerships have enabled the exchange of ideas and fostered a creative environment that promotes innovative solutions to complex technical challenges.
Conclusion: Maria Potapova’s influential work in the realm of OLAP databases underscores the importance of innovation in technology. Her pioneering efforts not only enhance data visualization but also empower users to navigate large datasets more effectively. As she continues her journey in the tech industry, it will be exciting to see how her further contributions shape the future of data management and analytics.