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Benefits and Value of Tagging and Semantic Modeling for Today’s Smart Buildings and the Internet of Things

The amount of data created by equipment, systems and devices has exploded in recent years. As this data velocity has risen, companies must be able to get the right data, understand it and help solve specific problems and address specific issues.

The data, however, can be very hard to organize and use across different applications because it is stored in many different formats, has inconsistent naming conventions and very limited data descriptors. Data lacks information to describe what it means. Without meaning, a time-consuming manual effort is required before analysis and value-creation of the data can begin. Without proper analytics, this data is not useful. Many companies struggle with data, despite their best efforts, because data is very hard to organize and use across different applications.

The core challenge is to make equipment, system and device data self-describing so that it can be easily used in a wide variety of applications and delivered it to the right person at the right place in a way that it can be easily consumed. The work of the Project Haystack organization directly addresses this challenge with open-source tools and tagging libraries available for use at no cost.

Data has transformed the business landscape, as companies tap into increasingly broad varieties of structured and unstructured data with greater speed and sophistication. This data revolution has enabled companies to drive innovation, discover valuable new insights, optimize processes, and make better, more informed decisions.

Project Haystack Connections provides insight into how the Project Haystack methodologies are helping organizations unlock the value of data by making that data self-describing through the use of metadata tagging.

http://project-haystack.org/download/file/Connections-Issue-01.pdf

 

 

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