While having more big data can lead to more accurate analysis of a problem, more isn’t always better when it comes to data. This information came from the University of Delaware in their article, “Big data, big answers.”
We talk a lot about big data. We talk about its continued increase in quantity and need for additional storage, and many other issues surrounding the issue. Big data has reputation problems with its own hype, buzz words, and code names. It brings with it ever-increasing volumes of data and storage costs. Just like data warehousing is a part of the overall technology capability set and information infrastructure, big data is just as important to the enterprise system. It is part of the overall information architecture and must be treated as such.
With that much data, findability becomes an issue. All records management systems need a system of indexing to create findability. We know that indexing against a strong, standards-based taxonomy can ensure comprehensive search results. Access Innovations is one of a very small number of companies able to help its clients generate ISO/ANSI/NISO compliant taxonomies to produce comprehensive results.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.