OpenText Lens - Data Visibility - Metapyxl Integration and Automation

Common Integration Use Cases Between OpenText Lens - Data Visibility and Metapyxl

OpenText Lens - Data Visibility helps organizations discover, classify, and assess unstructured data across repositories, while Metapyxl can be integrated to operationalize that insight in downstream business workflows, content handling, or analytics processes. Together, they can improve data governance, reduce risk, and accelerate cleanup and migration initiatives.

1. Sensitive Content Discovery and Remediation Workflow

Data flow: OpenText Lens - Data Visibility to Metapyxl

OpenText Lens identifies files containing sensitive, regulated, or confidential information across shared drives, content repositories, and collaboration platforms. Metapyxl can then route those findings into remediation workflows for legal, compliance, or records teams to review, approve, redact, quarantine, or delete content based on policy.

• Reduces exposure of personal, financial, or confidential business data
• Creates a repeatable review process instead of manual file-by-file inspection
• Supports privacy, retention, and eDiscovery response programs

2. Data Cleanup Prior to Migration or Repository Consolidation

Data flow: OpenText Lens - Data Visibility to Metapyxl

Before moving content to a new platform, OpenText Lens can profile repositories to identify obsolete, duplicate, or low-value content. Metapyxl can consume those results to drive migration decisions, such as excluding ROT content, prioritizing high-value records, or assigning cleanup tasks to business owners before cutover.

• Reduces migration volume and storage costs
• Improves target system quality by avoiding unnecessary legacy content transfer
• Helps project teams define migration waves based on content risk and value

3. Records Classification and Retention Enforcement

Data flow: OpenText Lens - Data Visibility to Metapyxl

OpenText Lens can detect content that matches records, legal hold, or retention-sensitive patterns. Metapyxl can use that classification data to trigger retention actions, assign disposition approvals, or notify records managers when content requires formal lifecycle treatment.

• Improves consistency in records handling across departments
• Supports defensible disposition and retention compliance
• Reduces the chance of keeping content longer than policy allows

4. Risk-Based Repository Prioritization for Governance Teams

Data flow: OpenText Lens - Data Visibility to Metapyxl

OpenText Lens produces insights on repository risk, such as concentration of sensitive data, stale content, or unmanaged shared folders. Metapyxl can turn those insights into prioritized work queues for governance, security, and business data owners, helping teams focus on the highest-risk areas first.

• Enables targeted governance instead of broad, manual audits
• Improves accountability by assigning remediation ownership
• Helps security teams focus on the most exposed content locations

5. Compliance Reporting and Audit Evidence Collection

Data flow: Bi-directional

OpenText Lens can provide discovery and classification evidence, while Metapyxl can collect workflow status, approvals, and remediation outcomes. Together, they create an auditable chain of evidence showing what was found, who reviewed it, what action was taken, and when it was completed.

• Simplifies audit preparation for privacy, retention, and information governance reviews
• Provides traceability from discovery to resolution
• Reduces manual spreadsheet-based reporting

6. Business Owner Review of Unstructured Data Findings

Data flow: OpenText Lens - Data Visibility to Metapyxl

OpenText Lens can identify content clusters tied to specific departments, projects, or business functions. Metapyxl can present those findings to business owners for validation, allowing them to confirm whether content should be retained, archived, migrated, or deleted based on operational need.

• Improves decision quality by involving content owners early
• Reduces IT dependency for content disposition decisions
• Supports shared accountability between governance and business teams

7. Ongoing Monitoring of High-Risk Content Repositories

Data flow: OpenText Lens - Data Visibility to Metapyxl

OpenText Lens can run recurring scans to detect newly created sensitive or noncompliant content. Metapyxl can ingest those scan results and trigger recurring tasks, alerts, or escalation paths when thresholds are exceeded, such as a sudden increase in confidential files in a shared repository.

• Moves governance from one-time cleanup to continuous monitoring
• Helps detect policy drift and new risk hotspots early
• Supports operational oversight for large, distributed content environments

8. Information Lifecycle Optimization for Content Rationalization Programs

Data flow: OpenText Lens - Data Visibility to Metapyxl

OpenText Lens can identify redundant, obsolete, and trivial content across repositories, while Metapyxl can orchestrate the downstream rationalization process by assigning review tasks, tracking approvals, and documenting final disposition. This is especially useful in enterprise content cleanup, M&A integration, and cloud storage optimization initiatives.

• Reduces storage and administrative overhead
• Improves content quality before archiving or decommissioning systems
• Creates a structured process for large-scale content rationalization