
ZL Tech File Analysis & ManagementZL Technologies
ZL Tech File Analysis & Management (FAM) is an enterprise solution designed to analyze, govern, and remediate unstructured data across file shares, SharePoint, and Office 365. It enables organizations to visualize data, classify files, enforce retention policies, and eliminate redundant, obsolete, and trivial (ROT) content, ensuring compliance and reducing risk.
Vendor
ZL Technologies
Company Website


Product details
ZL Tech File Analysis & Management
ZL Tech File Analysis & Management (FAM) is an enterprise solution designed to analyze, govern, and remediate unstructured data across file shares, SharePoint, and Office 365. It enables organizations to visualize data, classify files, enforce retention policies, and eliminate redundant, obsolete, and trivial (ROT) content, ensuring compliance and reducing risk.
Features
- In-place file analysis without creating separate archives
- Customizable dashboards with metadata and content analytics
- Full-text indexing and advanced enterprise search capabilities
- Interactive visualization powered by scalable architecture
- Automated and manual classification based on metadata and content patterns
- Defensible deletion workflows aligned with retention policies
- Archiving options for regulatory, legal, or records management needs
- Centralized governance with granular administrative controls
Capabilities
- Discovery and classification of unstructured enterprise data
- Detection and reduction of ROT data to optimize storage
- Visualization and analytics of file share data through dashboards
- Full-text and metadata-driven search for compliance and eDiscovery
- Policy-driven lifecycle management including retention and deletion
- Integrated governance for privacy, records management, and legal holds
- Support for data migration readiness and cloud adoption
Benefits
- Reduces risk by eliminating unnecessary and sensitive data
- Lowers storage costs by removing redundant and obsolete files
- Ensures compliance with GDPR, CCPA, and other regulations
- Decreases eDiscovery review costs through precise data targeting
- Simplifies governance with centralized control and audit trails
- Transforms unstructured data into assets ready for analytics and AI
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