Jira - OpenText Lens - Data Visibility Integration and Automation

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

1. Data Cleanup and Remediation Work Management

Flow: OpenText Lens - Data Visibility ? Jira

When OpenText Lens identifies sensitive, redundant, obsolete, or non-compliant unstructured content across file shares, SharePoint, or other repositories, it can create Jira issues for remediation teams. Each Jira ticket can represent a cleanup task with details such as repository location, data type, risk level, and recommended action.

Business value: This gives IT, records management, and compliance teams a structured workflow to assign owners, track progress, and close remediation actions with auditability.

2. Migration Readiness Assessment and Work Tracking

Flow: OpenText Lens - Data Visibility ? Jira

Before a content migration or platform consolidation, OpenText Lens can scan source repositories and flag high-risk or high-volume content. Jira can then be used to manage migration preparation tasks such as content review, owner validation, retention decisions, and exception handling.

Business value: Reduces migration delays and rework by ensuring teams address problematic content before cutover, improving project predictability and reducing data transfer risk.

3. Compliance Exception Management

Flow: OpenText Lens - Data Visibility ? Jira

When OpenText Lens detects regulated or sensitive content in locations that violate policy, it can automatically open Jira issues for compliance review. Jira workflows can route exceptions to legal, privacy, security, or business owners for approval, remediation, or documented acceptance of risk.

Business value: Creates a controlled process for exception handling and evidence collection, supporting audits and reducing the chance of unmanaged compliance exposure.

4. Information Governance Program Tracking

Flow: Bi-directional

OpenText Lens can provide the inventory and risk insights, while Jira manages the governance program execution. For example, Lens findings can populate Jira epics for repository rationalization, retention enforcement, or sensitive data reduction. As Jira tasks are completed, status updates can be fed back to Lens or a reporting layer to show governance progress by repository, department, or risk category.

Business value: Gives leadership a single operational view of governance initiatives and helps teams measure reduction in risk over time.

5. Data Owner Review and Approval Workflow

Flow: OpenText Lens - Data Visibility ? Jira

OpenText Lens can identify content that requires business-owner review, such as stale project files, duplicate documents, or potentially confidential records. Jira issues can be assigned to data owners or department managers to confirm whether content should be retained, archived, deleted, or restricted.

Business value: Improves accountability by tying content decisions to named owners and standardizing review cycles across the enterprise.

6. Risk-Based Prioritization of Remediation Backlogs

Flow: OpenText Lens - Data Visibility ? Jira

Lens can score repositories or content sets based on sensitivity, volume, age, and duplication. That risk data can be used to create and prioritize Jira backlogs so teams focus first on the highest-risk areas, rather than working through cleanup in arbitrary order.

Business value: Helps organizations allocate limited remediation resources to the areas with the greatest compliance and operational impact.

7. Audit Evidence and Control Closure Tracking

Flow: Jira ? OpenText Lens - Data Visibility

As remediation or governance tasks are completed in Jira, closure evidence such as approvals, task completion notes, and linked documentation can be associated with the relevant content findings in OpenText Lens. This creates a traceable record showing what was identified, what action was taken, and when it was completed.

Business value: Supports internal and external audits by providing a clear chain of evidence for governance controls and remediation actions.

8. Cross-Functional Data Risk Program Coordination

Flow: Bi-directional

OpenText Lens can surface the data risk landscape, while Jira coordinates work across IT, security, legal, records management, and business teams. Lens findings can trigger Jira initiatives, and Jira can track dependencies, approvals, and milestones. Status and issue resolution can then be reflected back into governance reporting.

Business value: Improves collaboration across teams that typically work in separate processes, making data risk reduction a managed enterprise program rather than a one-time cleanup effort.