However, there were three additional options included in the survey. These were metadata generation, auto-classification, and taxonomy
Using automatic semantic metadata generation, auto-classification and taxonomies, dark content is relatively straightforward to identify, although human intervention is required for those tricky pieces of content that no one wants to keep and no one wants to delete
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 environments Given the fact that metadata is the missing link in auto-classification, my question is why more organizations aren’t jumping on the bandwagon?
An information governance approach that creates the metadata infrastructure framework to encompass automated intelligent metadata generation, auto-classification, and the use of goal and mission aligned taxonomies is required
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