Automate Unstructured Data Records and Retention Management
Managing unstructured data retention is complicated, given the growing volumes of enterprise data. Automating unstructured data management throughout its entire lifecycle can help you implement a records management process that regulates data retention and expiration.
- Scan and standardize retention policies for unstructured data files
- Reduce risks associated with redundant, obsolete, and trivial data
- Comply with data retention regulations and standards
Reduce Clutter, Cut Costs.
Deploy Data X-Ray on-premise or on cloud to start scanning data at petabyte scale and gain insights in minutes.
Automatically label and classify regulated data like PCI and HIPAA and delegate data retention measures.
Automate unstructured data retention policies to reduce security risks and ensure your compliance.
Companies spend $20 on filing, $120 on finding misfiles, and $220 on reproducing lost documents.
– Optimize your document management.
Advantages of Data X-Ray
Automate Records Retention
Use Data X-Ray to discover old, forgotten, or hidden data, improving unstructured records classification, retention scheduling, secure storage, access control, and disposal.
Scan 100s of data formats in minutes, examine the metadata related to your data and know the exact location, volume, and context of data stored in a file.
Take proactive measures to secure critical files and delete unnecessary data, reducing the risks and costs associated with storing large amounts of data.
Maintain Audit Trail
Monitor enterprise-wide data, track the use of sensitive data, identify and investigate suspicious activity, to detect and respond to potential security breaches.
Set Retention Schedule
Manage unstructured data throughout its lifecycle, from creation to disposal. Set retention schedules for all relevant stakeholders.
Uphold Data Privacy
Redact sensitive data from files, retain only necessary files, and implement measures to prevent unnecessary storage expenses and potential legal sanctions.
Client Success Stories
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