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Automatic Retention and Classification of Archived Content
As the volume of user-generated content such as email continues to increase exponentially, so too does the challenge of efficiently managing that content for user access, retention and disposition, and eDiscovery.
Total Worldwide Archive Capacity, by Content Type, 2007-2012 (Petabytes)
The growing volume of content burdens Tier 1 storage environments and production systems. This drives up costs, both in terms of storage and eDiscovery. Additionally, end users find it difficult to manage their inboxes, even with capabilities like drag-and-drop into centrally managed folders. As ESG analyst Brian Babineau points out in the October 2008 report Data Classification: Making Information Useful, “Rather than constantly moving and copying after [content] is created—processes that burden employees to the extent that they typically neglect to do it—content classification could analyze information for keywords and then group data based on a pre-defined taxonomy.”
In order to stem the tide of eDiscovery, better manage compliance, and optimize storage costs, organizations desperately want to institute more granular retention policies. However, effective classification of high-volume, user-generated content has been non-existent. As a result, organizations:
- Are unable to classify content based on business rules, leaving end-users to tackle the time-consuming process of manually classifying content, often in an inconsistent manner.
- Cannot differentiate business-related content from non-business-related content, instead retaining all content for as long as possible, leading to higher storage costs.
- Have to search and review more content for legal matters, leading to higher eDiscovery costs.
NearPoint Retention and Classification Option (RCO)
Mimosa NearPoint RCO provides the ability to intelligently and automatically classify and tag archived content. With RCO, it is possible to either reduce or completely eliminate the need for manual end-user classification of user-generated content. Instead, organizations can set business rules that look for specific information with emails, attachments, files, or other content and apply specific tags to content with matches. These tags can drive multiple actions, such as kicking off a specific retention policy, marking a piece of content as potentially responsive to an ongoing investigation or legal matter, or explicitly declaring content a business record. Organizations benefit from more consistent, defensible, and executable retention policies and faster eDiscovery.
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