The Smart Data Blog

Q&A with Dan Szot, Our New VP Sales, Life Sciences and Healthcare

Posted by Kirk Newell on May 10, 2017 5:09:00 PM

We’d like to introduce you to the newest member of our team, Dan Szot, who has joined us as VP Sales, Life Sciences and Healthcare. Dan brings more than 20 years of sales leadership and field operations experience to the Cambridge Semantics team, specializing in enterprise sales, research discovery and clinical applications. With his broad experience in all phases of the pharmaceutical business – from drug ideation to commercialization and product life-cycle management – Szot possesses a keen understanding of the value that cutting-edge data discovery and analytics can offer the industry.

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Topics: Clincal Trials, Data Governance, Healthcare

2017 Update: The First 100 Days of Big Data

Posted by Kirk Newell on Apr 10, 2017 5:02:00 PM

Today marks the 100th day of the New Year, and we’d like to take a moment to reflect on a few of the more interesting developments we’ve seen thus far in the fast-moving big data analytics arena.

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Topics: Big Data, Financial Services, Analytics, Healthcare, Insurance, Government, Competitive Intelligence

2016 Life Sciences Smart Data Discovery & Analytics Forum [Slideshare]

Posted by Kirk Newell on Oct 13, 2016 5:59:00 PM

Last month, Cambridge Semantics held its inaugural Life Sciences Smart Data Discovery and Analytics Forum in Boston. At this forum, leaders in Life Sciences and Big Data met to discuss the application of smart data technology to research and development, clinical trial and healthcare data to gain more actionable insights and shorten the overall product lifecycle.

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Topics: Smart Data, CDISC, Clincal Trials, Analytics, Smart Data Lake, Healthcare, H7

Diving Deeper into HL7 Standards with the Smart Data Lake

Posted by Kirk Newell on Aug 15, 2016 12:00:00 PM

Data originates everywhere in the healthcare industry – in laboratories, within insurance agencies, in Electronic Medical Record (EMR) systems, etc. – and each of these sources represents a valuable set of information. Healthcare professionals need a comprehensive method that collects and transfers data across systems in a way that is reliable, secure and compliant. But because healthcare system formats are rarely ever the same, it becomes challenging to securely and efficiently share data between vast and diverse data and information sources.

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Topics: Data Lake, Smart Data Lake, Healthcare, H7