Auto-classification and metadata –the missing link

By Cate Evans posted 07-09-2014 07:41

I am doing some research on auto-classification and would sincerely appreciate your input, thoughts, and insight. This is the third in a series on auto-classification. The other two postings are Auto-classification – Has it time come? Too bad no one knows what it does! The second blog is Auto-classification, the only way out.

Auto-classifiers certainly help in organizing and managing content with an automated approach. Pretty basic. I think the key to accurate classification is the associated metadata. The types of classification metadata include intrinsic, administrative/management, descriptive, and semantic. All are useful, however, the more descriptive the metadata, the better the auto-classification will be.

Why is metadata so important? Here are some reasons:

The Challenges of Content Overload

  • 80% of enterprise data is unstructured
  • 60% of documents are obsolete
  • 50% of documents are duplicates

The benefits of automatic semantic metadata generation

  • Elimination of costs and errors associated with end user tagging
  • Identification and protection of secure content assets from unauthorized access and portability in accordance with compliance procedures
  • Automatic identification and tagging of documents of record
  • Normalization of content across functional and geographic boundaries
  • Integration with search
  • Ability to apply policy consistently across diverse repositories and

Given the fact that metadata is the missing link in auto-classification, my question is why more organizations aren’t jumping on the bandwagon? In fact, in a recent AIIM survey, Automating Information Governance, that we co-sponsored, it appears that the term is understood, but not how to get there. What do you think?

#unstructureddata #TaxonomyandMetadata #EnterpriseContentManagement #SharePoint #InformationGovernance #metadata #autoclassification #content #Search