The Smart Data Blog

Semantics 101

Posted by Patrick Wall on Aug 17, 2016 12:30:00 PM

Comprehending semantic technology is no longer an arduous task for the back offices of data-savvy organizations. Business users and C-level executives are starting to comprehend the basics of the technologies that are increasingly impacting their jobs.

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Topics: Smart Data, Semantics, Semantic Web, Ontology, Graph

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

5 Recommendations for Big Data Success as a Chief Data Officer

Posted by Kirk Newell on Aug 10, 2016 1:00:00 PM

The evolution of big data over recent years has resulted in a new role that has been gaining industry traction – the Chief Data Officer (CDO). As executives begin to recognize the business value residing in their data, they are focusing now more than ever on finding ways to manage and govern this data. The CDO is emerging as a key player in the enterprise by helping to establish and maintain data governance, quality, architecture and analytics, enabling firms to more productively harness information to manage risk, reduce cost and drive innovation.

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Topics: Data Management, Big Data, Data Governance, Analytics

Enabling Data Scientists by Reducing the Burden of IT

Posted by Kirk Newell on Aug 7, 2016 2:00:00 PM

The cliches are well known by now: data scientists spend the majority of their time simply preparing data for analytics, inheriting the responsibilities of IT teams that traditionally took months to process simple query results.

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Topics: Smart Data, Semantics

Smart Data Discovery

Posted by Patrick Wall on Aug 2, 2016 12:30:00 PM

Conventional data discovery utilizes dashboards, visualizations, search, and other tools to determine appropriate data for integrated, targeted use cases. Smart data discovery techniques, on the other hand, leverage linked data graphs, comprehensive data models, and a semantic standards-based approach to publish results to those same popular tools.

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Topics: Smart Data, Semantics, Semantic Web

Semantic Graph Databases: The Evolution of Relational Databases [SlideShare]

Posted by Kirk Newell on Jul 28, 2016 12:30:00 PM


In this webinar Barry Zane, our Vice President of Engineering and an industry expert in Database technologies, discusses Semantic Graph databases as the next step in the evolution of Relational databases.

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Topics: Smart Data, Graph, Smart Data Lake

CDISC and Smart Data Lakes: Extracting Value from Clinical Trial Data

Posted by Kirk Newell on Jul 26, 2016 10:00:00 AM

In the pharmaceutical world, clinical trials are essential to any medical research study, such as testing the benefits and risks of a specific medical treatment or drug. But because massive amounts of data is collected, analyzed and reported, investigators and doctors running these trials require a comprehensive set of standards to support the exchange of confidential information.

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Topics: CDISC, Clincal Trials, Smart Data Lake

Retail Analytics with Smart Data

Posted by Patrick Wall on Jul 20, 2016 8:30:00 AM

Analytics has profoundly altered the retail industry. The combination of real-time, predictive analytics—in conjunction with traditional historic analytic capabilities—has reconfigured the way organizations facilitate customer engagement, supply chain management, and inventory in both e-commerce and brick and mortar settings.

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Topics: Smart Data, Analytics, Smart Data Lake, Retail

ACORD: The Semantic Approach to the Insurance Industry

Posted by Patrick Wall on Jul 17, 2016 2:00:00 PM

There is no simple way to define the Association for Cooperative Operations Research and Development (ACORD), or its significance to the insurance industry. It is simultaneously a global community of insurance professionals and a certifying agency, an established semantics framework and standards-based approach to data management, the reference architecture of choice and a burgeoning body of knowledge for business domains and the data landscape.

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Topics: Enterprise Semantics, Insurance, ACORD

Introduction to Anzo Unstructured [SlideShare]

Posted by Kirk Newell on Jul 12, 2016 8:00:00 AM

Historically, understanding the contents of unstructured text has required a great deal of time and effort by experts to read stacks of documents and manually extract key information that is then consolidated in spreadsheets or structured databases. By using sophisticated semantic processing to enrich text analytics results, however, business analysts can set up text processing pipelines that can automatically analyze text content by extracting entities and relationships, analyzing sentiment and summarizing or classifying documents, emails, social media, websites and more.

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Topics: Text Analytics, Unstructured Data