OpenText DAM (OTMM) - OpenText Lens - Data Visibility Integration and Automation

Common Integration Use Cases Between OpenText DAM (OTMM) and OpenText Lens - Data Visibility

OpenText DAM (OTMM) is designed to manage rich media assets such as product images, marketing content, museum collections, and broadcast video. OpenText Lens - Data Visibility helps organizations discover, classify, and assess unstructured content across repositories to identify sensitive, redundant, obsolete, or noncompliant data. Together, they support stronger governance, better content lifecycle control, and more efficient asset operations.

1. Identify obsolete or duplicate media assets in DAM for cleanup

Data flow: OpenText DAM (OTMM) to OpenText Lens - Data Visibility

Lens can scan OTMM repositories to identify duplicate product images, outdated campaign videos, unused event footage, and obsolete creative files. This helps marketing, digital asset management, and records teams reduce storage costs and improve search quality by removing content that no longer has business value.

• Detect duplicate renditions and near-duplicate images
• Flag assets not accessed for a defined retention period
• Support periodic DAM cleanup and archive decisions

2. Classify sensitive or restricted media before broader distribution

Data flow: OpenText DAM (OTMM) to OpenText Lens - Data Visibility

Lens can analyze assets stored in OTMM to identify content that may contain sensitive information, such as confidential product prototypes, embargoed campaign materials, internal event recordings, or museum images with restricted rights. This enables governance teams to apply controls before assets are published to external channels or shared with partners.

• Identify assets requiring restricted access or legal review
• Support rights management and embargo workflows
• Reduce accidental exposure of confidential media

3. Support migration planning by profiling legacy media repositories

Data flow: OpenText Lens - Data Visibility to OpenText DAM (OTMM)

Before migrating content into OTMM, Lens can scan legacy file shares, content repositories, or departmental drives to determine what media should be migrated, archived, or discarded. Business teams can use the findings to prioritize high-value product images, approved marketing assets, and active broadcast content for ingestion into OTMM.

• Inventory unstructured media across legacy repositories
• Identify redundant and obsolete files before migration
• Reduce migration scope, cost, and risk

4. Improve retention and disposition decisions for media assets

Data flow: Bi-directional

OTMM can provide asset metadata, usage status, and lifecycle context to Lens, while Lens can return classification and risk insights to help determine retention periods and disposition actions. This is especially useful for organizations managing regulated content, such as broadcast archives, museum collections, or campaign materials with legal hold requirements.

• Apply retention rules based on asset type, usage, and sensitivity
• Support defensible deletion of expired content
• Maintain audit-ready disposition records

5. Find unmanaged media copies outside the DAM and bring them under control

Data flow: OpenText Lens - Data Visibility to OpenText DAM (OTMM)

Lens can locate product images, videos, and campaign files stored outside OTMM in shared drives, collaboration sites, or local folders. These assets can then be reviewed and ingested into OTMM so teams work from a governed source of truth instead of scattered copies.

• Discover orphaned media files outside approved repositories
• Reduce version confusion across marketing and product teams
• Improve reuse of approved assets in downstream channels

6. Validate content readiness for channel distribution

Data flow: OpenText DAM (OTMM) to OpenText Lens - Data Visibility

For organizations distributing product images and videos to e-commerce sites, distributors, or broadcast platforms, Lens can analyze OTMM content to identify files that are incomplete, duplicated, or potentially noncompliant. This helps content operations teams ensure only approved assets are released to external channels.

• Detect assets lacking required metadata or approval status
• Identify content that may violate policy or rights constraints
• Reduce publishing errors and downstream rework

7. Create a governed archive for low-value but retained media

Data flow: OpenText DAM (OTMM) to OpenText Lens - Data Visibility

Lens can help identify media in OTMM that is no longer actively used but must be retained for legal, historical, or brand reasons. These assets can be moved to lower-cost archive storage while preserving visibility into what exists, where it resides, and whether it contains sensitive information.

• Separate active working assets from archive-only content
• Lower storage and operational costs
• Maintain discoverability for audit, legal, or historical needs

8. Strengthen governance for museum and heritage collections

Data flow: OpenText DAM (OTMM) to OpenText Lens - Data Visibility

For museums and heritage organizations, OTMM stores digital photos and videos of collections. Lens can scan these repositories to identify restricted, redundant, or poorly classified content, helping curators and records teams improve stewardship, manage access, and support compliance with collection policies.

• Identify sensitive collection images or donor-restricted materials
• Improve classification of large heritage media archives
• Support policy-driven access and retention controls

Together, OpenText DAM (OTMM) and OpenText Lens - Data Visibility create a practical governance layer for rich media: OTMM manages the approved asset lifecycle, while Lens provides visibility, risk insight, and cleanup intelligence across the content estate.