Orion Governance, a leader in Metadata Management solutions and the provider of the Enterprise Information Intelligence Graph (EIIG), has been recognized with the “Metadata Management Solution of the Year 2023” award in the fourth annual Data Breakthrough Awards program conducted by Data Breakthrough.
“A comprehensive end-to-end view of all the data allows for drill-downs and aggregation across multiple layers with great precision in analytics for better decision-making and insights,” said James Johnson, Managing Director, Data Breakthrough.
“These are all unique capabilities Orion has been implementing in near real-time for many years. Orion’s breakthrough technology and expertise allows them to build trust in the data assets within a data supply chain by raising the views on reliable/unreliable data and building the collaborative environment required to make the gathered insights actionable.”
“The recognition we are receiving from Data Breakthrough is both an honor and a validation of the work we have done to provide a world-class metadata management solution to address the data management needs of global enterprises,” said Ramesh Shurma, Founder and CEO of Orion Governance.
“Teams are happier using automated tools they can trust. The EIIG platform enables organizations to gain visibility into complex legacy environments as well as the cloud infrastructures. Our motto is to leverage automation and AI/ML in order to provide a vendor/technology agnostic platform with the lowest Total Cost of Ownership. In doing so, we help enterprises navigate the complex data galaxy and accelerate time to value of their data assets.”
Orion’s EIIG Platform natively integrates Data Lineage, Data Catalog, and Metadata Analytics in one single product. EIIG automatically discovers Metadata across silos of structured and unstructured data providing a near real-time end-to-end view of a data supply chain.
Orion’s EIIG automatically ingests metadata from more than 60 technologies, handles complex data sets like Python and weaves the most comprehensive knowledge graph in the industry, while building a self-defined data fabric.
This data fabric provides the visualizations necessary to catalog, trace, trust and analyze data while promoting confidence, transparency, and governance of the enterprise landscape.