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Gartner's Architecture Brief highlights Kyvos' role in enhancing data governance and analytics performance in enterprises.
Kyvos has been recognized by the most recent Gartner® ABI Reference Architecture Brief as an innovator in the creation of a customized semantic layer for AI and Business Intelligence. The brief illustrates the rising importance of appropriate analytics, as companies try to provide many types of decentralized users with support through a consolidated and governed manner. It also identifies the increasing belief in the usefulness of semantic modeling as modern-day architecture in relation to helping to enhance modern Analytic Architectures.
Through the development of a customized semantic layer, Kyvos helps organizations address those continuously changing needs, by providing a reliable base for providing a high degree of quality AI and BI application's use within large and complex data environments. The platform strengthens BI (business intelligence) consistency through standardizing the definitions, metrics and rules so that all business intelligence tools can have a single source of truth for operating.
In addition, Kyvos enhances performance at scale providing very fast analytic capabilities as data volume increases, and user demand grows. This ability to perform with massive amounts of data and thousands of concurrent users also provides speed for analytics. By optimizing cloud resource utilization, the platform increases cost benefits; thus, enabling enterprises to drive down cloud expenditures while still having a high level of performance.
Rajesh Murthy, COO of Kyvos, stated how proud he was to be included in Gartner’s reference architecture report, saying, "The inclusion of Kyvos within the Gartner reference architecture report provides enterprises with a trusted, unified view of their data along with fast, reliable analytic scale." He reiterated Kyvos' commitment to assist clients in establishing a unified semantic foundation enabling them to confidently scale their BI and AI initiatives as they continue modernizing their analytic architecture.
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