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TMCNet:  Cambridge Semantics Named Finalist in SIIA Software CODiE Awards and Bio-IT World Best of Show Awards

[April 17, 2014]

Cambridge Semantics Named Finalist in SIIA Software CODiE Awards and Bio-IT World Best of Show Awards

(PR Web Via Acquire Media NewsEdge) Boston, MA (PRWEB) April 17, 2014 Cambridge Semantics, the leading provider of Smart Data solutions, today announced the Anzo product suite has been named a finalist for two industry awards: the 2014 SIIA CODiE Software Award for Best Business Intelligence/Analytics Solution, and the Bio-IT World Best of Show Award.


Cambridge Semantics' Anzo software is an open platform for building Smart Data solutions driven by semantic web technologies. It combines data from any source across the enterprise and the web – from Google News to Twitter to enterprise systems to Big Data systems – whether the information is located inside databases, spreadsheets, documents, and social media or as videos and images. This information is then presented graphically in dashboards and reports that link data together based on common ideas and relationships regardless of the source, providing easily recognizable meaning and context to make informed business decisions.

"Anzo helps organizations find actionable data that enhances market competitiveness, strategic planning, and accelerates time-to-revenue," said Lee Feigenbaum, vice president, marketing and technology at Cambridge Semantics. "We're honored to be named finalists for both of these prestigious awards. We're very pleased that both SIIA and Bio-IT World have recognized Anzo solutions for their transformative combination of powerful analytics and ease-of-use." All Anzo components are:    •  Flexible: Users can change any aspect of the solutions as soon as business requirements change.

   •  Easy to use: Anzo's ease of use enables non-technical end users to have self-service access to capabilities that would normally demand IT's time.

   •  Conceptual-model-driven: Anzo tools--from integration through to search and analysis-- are driven by conceptual models expressed in the language of the business. The models can be evolved and extended by business analysts in a bottom-up manner and can directly reuse industry standard models such as FIBO, ACCORD, CDISC, or HL7.

   •  Scalable: Anzo includes a high-performance analytic graph database that can also work alongside existing Big Data repositories. Anzo also scales on the variety axis, bringing together data from enterprise databases, unstructured text, websites, social media, spreadsheets, and more.

The SIIA CODiE Awards are the premier awards for the software and information industries, recognizing product excellence for nearly 30 years. The awards are organized by industry focus – Content, Education and Software. Winners of the 2014 SIIA CODiE Awards will be announced on May 13, 2014. Cambridge Semantics was the winner of the SIIA CODiE Award for Best Business Intelligence/Analytics Solution in 2013.

The Bio-IT World Best of Show Awards offer exhibitors at the Bio-IT World Conference & Expo an opportunity to distinguish their products from the competition. Judged by a team of leading industry experts and Bio-IT World editors, this award identifies exceptional innovation in technologies used by life science professionals today. Final judging and the winners will be announced on April 30, 2014.

About Cambridge Semantics Cambridge Semantics provides the award-winning Anzo software suite, an open platform for building interactive Smart Data solutions. Enterprises face an increasing need to rapidly discover, understand, combine, and act on data from diverse sources both from within and across organizational boundaries. Anzo makes it easy for both IT and end users to deal with this need by rapidly creating solutions that leverage unified access to structured and unstructured data from varied sources in the context of specific business problems.

Cambridge Semantics is privately held and based in Boston, Massachusetts. For more information visit http://www.cambridgesemantics.com or follow us on Twitter @CamSemantics.

Read the full story at http://www.prweb.com/releases/2014/04/prweb11772027.htm (c) 2014 PRWEB.COM Newswire

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