Cambridge Semantics Adds Unstructured 2.0 Capabilities to Its AnzoⓇ Data Management and Analytics Platform
Platform enhancements extend the Company's leadership in enabling graph-based enterprise data fabrics for leading organizations in life sciences, financial services, and multiple other industries.
BOSTON, August 22, 2019 /PRNewswire-PRWeb/ -- Cambridge Semantics, the leading provider of modern data management and analytics software, today announced significant updates to its award-winning Anzo® data discovery and integration platform. These product enhancements build on the Company's strong foundation of leadership in enterprise data fabrics -- as recognized by leading market research firms and industry publications -- and provide customers with the newest technology available in graph-based data management and analysis.
Anzo is a modern data discovery and integration layer to connect and bring meaning to enterprise data from any system across the enterprise. Anzo enables virtually anyone in an organization – from skilled data scientists to novice business users – to find, connect and blend any enterprise data into analytics-ready datasets. Anzo's graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.
The most notable update to Anzo is enhanced treatment of unstructured data, which Cambridge Semantics dubs "unstructured data 2.0." Anzo's workflow was rearchitected from an embedded to a distributed architecture, which provides better workflow and work process management. This also enables Anzo to scale for larger data integrations at faster speeds, which is especially beneficial for very large, distributed companies, such as those Cambridge Semantics works within the life sciences, financial services, and manufacturing industries. Anzo's user interface design was redesigned and optimized to simplify onboarding unstructured data, making it easier for business users to work with the platform.
"Our Anzo enhancements come at a time when the market for our technology is exploding," said Sean Martin, CTO and Co-founder, Cambridge Semantics. "Graph models and unstructured data are becoming better understood and more readily adopted, and more of our customers now understand the value of diverse unstructured data and how to work with it. Anzo has always differentiated itself in the market by allowing customers to treat unstructured data as a first-class citizen and this latest version of Anzo raises the bar even further. We are committed to helping guide the industry with the best tools available to help organizations transform their data management and analytics operations."
The integration of structured and unstructured data is key for enterprise data fabric success, and for providing rich analytics for advanced machine learning and artificial intelligence initiatives.
The newest version of Anzo includes several additional updates, including improved automation in onboarding workflows, query builder enhancements, new administrative monitoring tools, and a beta version of Kubernetes-based GraphMart's cloud deployment powered by AnzoGraph DB.
For more information on our products, visit http://www.cambridgesemantics.com
About Cambridge Semantics
Cambridge Semantics Inc., The Smart Data Company®, is a modern data management and enterprise analytics software company that enables seamless access, integration and analysis of all enterprise data via a graph-driven data fabric architecture.
The company delivers products and solutions that enable IT departments and business users across Life Sciences, Financial Services, Government, Manufacturing, and other industries to accelerate data delivery and to provide meaningful insights across the organization at hyper-speed and scale.
Visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn, and Twitter: @CamSemantics.
SOURCE Cambridge Semantics
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