Data Targeting

In order to further cull down the data for relevant information, RenewData targets specific custodians. Clients provide custodian names, however locating those custodians can present a challenge as companies use a variety of naming convention variables in both their email and file listings. It is the industry expertise of RenewData that enables the analyzing and manual targeting of those custodians. RenewData works with clients to investigate and identify the appropriate custodian, or if the client prefers, RenewData may generate reports that may assist the client in their targeting:

Known Mailbox Report
Known Mailbox Reports provide a detailed overview of user mailbox files successfully extracted and loaded into an ActiveVault, and include Mailbox Name, PST Volume, Message Creation Dates, Message Sent Dates, and other statistics.

Known User File Report
Known User File Reports provide a detailed overview of user files successfully extracted and loaded into ActiveVault, and include ActiveVault Category, File Extension Type, File Extension Description, Number Of Files, and Size of Files.

Unknown Mailbox Report
Unknown Mailbox Reports provide a detailed overview of user mailbox files that were either unable to be processed after extraction or successfully processed but unable to be loaded into an ActiveVault, and include Volume ID, Mount Points, Physical Media ID, Job ID, Media Creation Time, Message Mailbox File Name, Message Count, and other statistics.

Loose PSTs and NSFs also can be problematic, as roughly 90% of these files are not identified with a custodian name. In order to identify the custodian, custodian mapping must be performed. This can be extremely expensive because it is a forensic operation. However, RenewData has a proprietary tool that can automatically identify the custodian, as well as identify and eliminate invalid PSTs, saving time and money.

RenewData can merge email on the Exchange Database with archived email for the same custodian and then de-duplicate against all, delivering less data for review, and ultimately, for production.