DataParser has added support for Webex Teams. The new module of DataParser for Webex Teams is in beta and available for testing.
17a-4, LLC has released Webex Teams DataParser in beta for client testing and feedback. DataParser is a leading compliance solution to bring third-party data into any archive. Webex Teams is Cisco’s chat and collaboration platform keeping teams connected through messaging, file sharing, whiteboarding and calling.
The beta version of Webex Teams DataParser is now available and clients will begin testing this week. The new Webex Teams DataParser captures chats, formatting, files and meeting information.
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The new module will be added to the already robust supported interface list joining Jabber, Slack, Microsoft Teams, SharePoint, Yammer, Symphony, Eikon Messenger, Bloomberg and all other supported interfaces. As with all DataParser interfaces, Webex Teams data is formatted into EMLs with chats threaded into conversations and shared files attached.
“We’ve designed DataParser to ensure full chain-of-custody. One of the largest money management firms was able to prove the integrity of their Bloomberg messages by using 17a-4’s chain-of-custody methodology when challenged in court,” said Charles Weeden, Managing Partner of 17a-4.
DataParser has no impact on the collected data source networks or destination archives. Users’ chat and collaboration activities are not disrupted by the DataParser’s processes and Compliance officers do not have to make changes to eDiscovery procedures. All ingested data sources are fully indexed and searchable via typical eDiscovery queries.
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All major archiving technologies are supported by DataParser allowing clients to leverage in house resources and keep compliance costs to a minimum. VMs are supported, including AWS and Azure. Message delivery options include the ability to send via SMTP into an archive, to a file location or a mailbox. The third-party data endpoint for clients using Office 365 for archiving is also supported.
DataParser offers on-premise and hosted plans. For more information about the upcoming DataParser releases visit 17a-4.com.
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