Inventory and Prioritize Collected Data to Make Better Decisions Faster
CURATE Collected Data |
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Narrow in and find what you’re looking for fast |
CONSOLIDATE Prioritized Data |
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Make more informed project decisions before you start |
CONCLUDE and Promote to Processing |
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Simplify your workflow and reclaim wasted days |
WHAT CUSTOMERS SAY:
The Rational eDiscovery team has had the privilege of previewing the Data Wrangler application and we look forward to using it to enhance our service. With a fast and complete inventory of collected data, we will be able to quickly promote the most time sensitive mailboxes and folders to processing and review. We have already identified a set of projects and clients who will benefit by adding Data Wrangler to the Rational eDiscovery workflow.
READY TO SEE THE SOFTWARE IN ACTION?
Request a CloudNine demo and see how easy eDiscovery can be!
CloudNine Data Wrangler is Purpose-Built for eDiscovery Professionals
IMPROVE Timeline Predictability
- PST, mailbox, folder and forensic image directories including data volumes
View data in detailed, organized structure to make project decisions and take action faster
SAVE Time and Money
- Filter unnecessary data
- Split large PSTs into manageable sizes
- Automate manual steps
Reduce data volume quickly and transfer only the prioritized data you need
ACCELERATE Project Delivery
- Rolling promotion of prioritized mailboxes and folders to processing and review
- Quick detection and repair of corrupt containers
Prevent workflow interruption and expedite data to processing engines and review platforms
Data Wrangler in Action:
- Source an affordable, on-premise solution without requiring a heavy-footprint processing tool.
- Ensure data sent for processing does not include corrupt, malformed or oversized data.
- Reduce unnecessary data before you pay for processing.
- Manage data size and output to deliver to reviewers faster.
Select source data for a quick view into sizes by file type.
Generate data inventory reports to inform stakeholders.
Quickly detect and automate the repair of corrupt PSTs before they can impede data processing.
Split source PSTs to create a more manageable output and deliver data to reviewers faster.