The increasing data management challenges that all financial services institutions are facing present a need for effective data governance built on an appropriate technology base. BankTech brought this news to our attention in their article, “Do You Know Where Your Data Is?”

Big data presents problems, and so do other kinds of data. Embracing semantic data as an industry makes it possible to increase economic value of data assets and reduce risk.

Separation of data and application is becoming more common, but not as smoothly as many users would like. Being standards-based means sharing data through all applications. With semantic technology, inference is introduced and the process becomes even more comprehensive.

Semantic technology requires a special knowledge of terminology and coding to reduce errors. Access Innovations, developer of the M.A.I. machine-assisted indexing system and specializing in complex coding, tagging, and indexing, provides a range of services that deliver tag integrity.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.