Industry Recognitions and Awards

Semaphore Recognized as a Leader in the Gartner Magic Quadrant for Metadata Management Solutions

August 25, 2017

Semaphore Semaphore Inc. makers of the world-class semantic platform Semaphore, today announced it has been positioned as a Leader in the August 2017 Magic Quadrant for Metadata Management Solutions. This accompanies their designation as a Visionary in the March 2017 Magic Quadrant for Insight Engines.

Gartner’s market definition/description of metadata is: “Metadata describes various facets of an information asset in order to improve its usability throughout its life cycle. Metadata management is about the organization’s management of its data and information assets to address use cases such as data governance, analytics and enterprise metadata management (EMM). It is important to note that this understanding of metadata goes far beyond just technical facets; it is used as a reference for business-oriented and technical projects and builds the foundations for describing, inventorying and understanding data for multiple use cases such as information governance or analytics.”

The importance of metadata and its role in today’s organizations is emphasized by Gartner’s strategic planning assumption - by 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.

“We’re excited to be positioned as a Leader in the Gartner Magic Quadrant for Metadata Management Solutions,” Jeremy Bentley, CEO Semaphore. “As markets, regulations and industries continue to evolve, organizations will become increasingly reliant on complete information to locate, manage and govern enterprise data. To do this they must deploy systems that leverage sophisticated semantic platforms that automatically analyze and create rich metadata to improve the functionality of repositories, analytics and transactional systems.”

The Semaphore platform approaches today’s information challenges by leveraging semantic technologies and rule-based classification processes to result in precise, complete and consistent metadata that is:

  • Transparent – completely auditable to support information governance and regulatory compliance
  • Accurate and complete – surfaces all evidence within an asset using NLP, statistical techniques and machine learning
  • Comprehensive – relationships and synonyms in the model ensure that equivalences and differences in vocabulary are recognized and leveraged

Semaphore’s unique approach extracts value from enterprise information and enriches assets to improve knowledge worker effectiveness. It positions organizations to find the information they need to make key business decisions that increase efficiency, improve analytics and drive innovation.

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