ROKITT Announces Filing of a New Patent Application for Industry Leading Machine Learning Data Discovery Product

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Latest Patent Application Filing Covers Automated Machine Learning Discovery of Primary Key/Foreign Key (PF/FK) Relationships Across Non-Homogeneous Databases Throughout the Entire Business Data Environment.

ROKITT, a technology company which owns ROKITT ASTRA product that automatically discovers and self-learns data relationships to help organizations to efficiently and accurately baseline the enterprise data landscape, announced that it has filed a patent application with the US Patent Office for "Primary Key-Foreign Key Relationship Determination Through Machine Learning".

ROKITT’s patent pending machine learning technology dramatically increases the accuracy, intelligence and speed of learning the complex data elements and data relationships that exist in complex data environments. ROKITT ASTRA provides companies with the industry’s first automated solution using machine learning to cost-effectively discover and document the primary key/foreign key (PF/FK) relationships that are the foundation of database architecture and design. This means that companies can now quickly and cost effectively address their lack of understanding of their data assets across their business, often consisting of undocumented, siloed or legacy systems.

"Historically, the discovery process of data elements and relationships within large enterprises was cumbersome, labor-intensive, and fraught with error. Our patent pending product, ROKITT ASTRA, makes it easy for companies to quickly understand and document their critical data assets, thus ensuring that data integrity is maintained throughout the enterprise," said Oksana Sokolovsky, CEO and co-founder of ROKITT. "This data can then be used to greatly increase business value by improving data analysis, data governance, system design and modernization, and to better meet compliance and regulatory requirements.”

“With our continued commitment and focus on critical data discovery and data management problems, ROKITT has developed a proprietary, patent pending machine learning product, ROKITT ASTRA, to discover the critical primary key/foreign keys (PK/FK) relationships among schemas in complex, non-homogeneous databases across the enterprise, even in cases where data has been lost or corrupted”, said Rohit Mahajan, CTO and co-founder of ROKITT. “In addition, we have designed a highly visual user interface that allows both data officers, data scientists, data architects and non-technical business users to quickly and easily review and utilize the discovered data for their most important, data intensive work.”

About ROKITT:
ROKITT was founded in 2014 and is focused on solving the challenges of DATA! Having worked in some of the most demanding IT environments in the world, our people bring the agility, skill and experience required to build best in class metadata product. We are proud to be certified as a women’s business enterprise by the Women’s Business Enterprise National Council (WBENC).

ROKITT ASTRA automatically discovers and self-learns data relationships with up to 90%+ accuracy to help organizations to quickly and accurately baseline the enterprise data landscape. ROKITT ASTRA utilizes machine learning to uncover hidden data relationships while providing a powerful visualization technology to empower organizations to understand and leverage data across several areas of the business. Additional information is available at http://www.rokittastra.com.

All media inquiries should be directed to Oksana Sokolovsky at 551-225-3800 or oksana(at)rokittech(dot)com.

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ROKITT
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