Cambridge Semantics

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.”

 

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.

Original Release: PR Web

Image: Courtesy Cambridge Semantics