Most archiving systems can expire data based upon a specified retention policy, but many organizations would like—and often need—to go further than this with the ability to selectively delete data based on very specific criteria. For example, the organization may need to erase specific emails from employees that have been removed from a custodian compliance list or erase data that has been accidentally archived. In most cases, it is impossible to delete or remove a user’s archive completely. The only acceptable path forward is for the deletion to be granular at the item level.
Globanet Classify allows for the management of archived items based on changes to any Enterprise Vault indexable attribute. You can delete items en masse from multiple archives following complex rule sets. Organizations have the ability to delete items granularly without having to do an intensive restore, analysis or deletion of an entire archive, risking data loss. Not only is Globanet Classify able to delete by one criteria, but it actually has the ability to put criteria together with AND, OR and sub criteria.
How it Works
The initial step to data identification is search, and the Globanet Classify search feature includes all of the search functionality that is native to EV. Users can apply multiple search criteria against any indexed attribute of the files. Results can be pinpointed based on the metadata, the content of the files, or Boolean operators AND & OR can be used to combine those criteria. Then, the extensive reporting capabilities built into Globanet Classify provide in-depth views into that data. The data categorization tool can be used throughout the information life-cycle, and is particularly useful in the data retention and compliance realms. See Globanet Classify diagram below:
Key Features and Benefits
There are multiple reasons why an organization might require data classification technology, including data retention and compliance verification. Globanet Classify is designed to meet those requirements for companies or agencies with legacy data stored in Veritas Enterprise Vault (EV). Globanet Classify identifies data that is stored in EV according to user-defined parameters, generates reports of its findings, then categorizes and/or deletes the data.
When a company becomes newly subject to data retention regulations or when regulations change, it is important that these new records schedules be applied to all data, because the penalties for noncompliance range from warning letters to multi-million dollar fines and business closure. Globanet Classify automates the categorization or re-categorization of data stored in Enterprise Vault. It allows you to apply records schedules to documents based on specific criteria such as file types, authors, dates or date-ranges, keywords within the body of the documents, or any other indexed aspects of the files.
Pattern searches can identify protected personal information, such as social security and credit card numbers, allowing an organization to segregate those documents as needed. The full text search feature can also help to identify non-compliance with communication policies, while metadata searches can identify communication patterns between internal personnel or among those same personnel and external parties. This information provides an organization with the opportunity to proactively address potential legal issues, to lower its risk exposure.
With Globanet Classify, users can make informed decisions about the retention or disposition of data, and can mitigate potential data-related risks across the organization.