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CAMBRIDGE, Mass. (PRWEB) December 18, 2014

Cambridge Semantics, the leading provider of smart data solutions driven by Semantic Web technology, today announced the integration of its Anzo Smart Data Platform (Anzo SDP) with the KeyLines network visualization tool. The advancement will enable business analysts and IT professionals in Global 2000 companies to gain new “big picture” business insights from their big data queries on diverse data.

“The combination of our Anzo SDP semantic technology-driven solution and the KeyLines graph visualization technology enables our customers to enjoy fast, easy and accurate views of relationships, hierarchies and patterns within the data to facilitate better investigations, root cause analysis and new business insights,” said Alok Prasad, president of Cambridge Semantics.

“By embedding KeyLines’ visualization functionality into their Anzo SDP semantic technology, Cambridge Semantics has given their customers a whole new degree of big data clarity,” said Joe Parry, CEO of Cambridge Intelligence, the makers of KeyLines. “This kind of network visualization provides an intuitive and interactive way to understand data, allowing users to see how data points relate to each other in context. It’s a huge leap forward for companies wanting better ways to understand complex connected data.”

The combination of Cambridge Semantics’ Anzo SDP and Cambridge Intelligence’s KeyLines solution will especially benefit use cases in pharma and financial services including:

    Drug discovery – The ability to visualize the connection between research and results in this heavily data-driven process can help avoid effort duplication, identify gaps in understanding, and ensure discovery is more cost efficient.
    Clinical trials – Ensuring a conclusive trial is key to any drug’s success. Network visualization techniques can help find potential participants with the required profiles, analyze trial results and ensure overall vigilance.
    Compliance Surveillance – Link and visualize activities, web logs, email and phone archives, IM communications, and other sources to uncover potential violations of regulatory requirements as well as internal policies and procedures violations.

About Cambridge Intelligence

Cambridge Intelligence Limited is a leading provider of visualization and analysis solutions, designed to help organizations understand their complex connected data. By combining award-winning software, unrivalled knowhow and expert developer services, the company aims to make network visualization accessible and meaningful to all.

KeyLines is Cambridge Intelligence’s software development kit (SDK) for building custom network visualization web applications. Organizations ranging from start-ups from national governments rely on KeyLines to solve their most difficult big data challenges.

Cambridge Intelligence is based in Cambridge, UK.

For more information visit http://cambridge-intelligence.com or http://KeyLines.com.

About Cambridge Semantics

Cambridge Semantics (CSI), the Smart Data Company, is an enterprise analytics and data management company. It enables customers and partners to rapidly build interactive, real-time smart data solutions based on its Anzo Smart Data Platform (Anzo SDP).

IT departments and business users gain better understanding and data value through the semantic linking, analysis and management of diverse data whether internal or external, structured or unstructured. The Anzo SDP smart data solutions are delivered with increased speed, at big data scale and at the fraction of the implementation costs of using traditional approaches.

The company is privately held and based in Boston, Massachusetts.

For more information visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.

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CAMBRIDGE, Mass. (PRWEB) December 10, 2014

Cambridge Semantics, the leading provider of smart data solutions driven by Semantic Web technology, and SPARQL City, providers of a high performance scalable Hadoop-based graph database infrastructure, today announced a collaboration to jointly offer an integrated graph analytics solutions with semantic understanding to help enterprises get better understanding and value from big data.

Cambridge Semantics offers the award-winning Anzo Smart Data Platform (Anzo SDP), leveraged by customers and partners for building interactive Smart Data solutions that help enterprises rapidly discover, understand, combine, analyze, link and manage data from diverse sources, both from within and across organizational boundaries. SPARQL City’s Hadoop-based graph analytics engine provides a simple and powerful way for people to query semi-structured and structured data and find more nuanced relationships within and across these datasets in easy-to-grasp graphical representations.

“As data continues to grow, our customers are continually seeking affordable approaches to handle the scale and speed of querying to tackle larger and more complex problems,” said Alok Prasad, president of Cambridge Semantics. “The SPARQL City team has a very successful track record in building highly scalable, performant analytic systems and that is enabling us to jointly solve new problems for our customers at big data scale.”

The combination of Cambridge Semantics’ Anzo SDP and SPARQL City’s graph analysis capabilities can benefit any business seeking insight from big data search, analysis and data management, including:

Pharma and life sciences: The joint solution allows for more agile, big data scale, business self-service applications for R&D drug discovery and investigations, competitive intelligence, clinical trial data processing, and creating various investigative and graph-based solutions. Enterprises can simply add additional nodes to handle more data as their data needs grow.
Financial services: The combined platforms can allow for more agile, enterprise-wide, business self-service for regulatory reporting, compliance and risk analytics, investigative solutions for fraud/insider trading, and mining of diverse data sources both inside and outside of the enterprise.

“Cambridge Semantics has built a compelling smart data platform that allows their customers to rapidly work with all of their data to uncover new and more meaningful insights,” said Barry Zane, president and CEO of SPARQL City. “The marriage of Anzo Smart Data Platform with our standards-based graph analytics engine will enable our customers to more quickly and easily translate untapped raw analytical potential in areas involving unstructured data and/or graph analytics into business impact at real-world scale.”

Both companies’ solutions are aligned with standards set by the World Wide Web Consortium (W3C).

About SPARQL City

SPARQL City is based in San Diego, Calif. with offices in Marlborough, Mass. SPARQL City is a provider of a Hadoop-based graph analytics engine that brings to bear the performance and ease-of-use characteristics of massively parallel analytic databases on the world of graph data. The resulting product is built around modern open standards and delivers orders of magnitude improvements in performance and scale over existing solutions while running on commodity hardware. This opens up new possibilities in the world of graph processing and big data analytics. For more information, visit us at: http://www.sparqlcity.com.

About Cambridge Semantics

Cambridge Semantics (CSI), the Smart Data Company, is an enterprise analytics and data management company. It enables customers and partners to rapidly build interactive, real-time smart data solutions based on its Anzo Smart Data Platform (Anzo SDP).

IT departments and business users gain better understanding and data value through the semantic linking, analysis and management of diverse data whether internal or external, structured or unstructured. The Anzo SDP smart data solutions are delivered with increased speed, at big data scale and at the fraction of the implementation costs of using traditional approaches.

The company is privately held and based in Boston, Massachusetts.

For more information visit http://www.cambridgesemantics.com or follow us on Facebook, LinkedIn and Twitter: @CamSemantics.

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