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Data flow: OpenText Lens - Data Visibility ? Loci
Use OpenText Lens to identify approved, current, and low-risk content across repositories, then feed that inventory into Loci so it recommends only governed content to employees, partners, or customers. This is especially useful for intranets, knowledge bases, and self-service portals where outdated or sensitive documents can create compliance exposure or poor user experience.
Business value: Improves content relevance while reducing the risk of surfacing obsolete, duplicate, or restricted material.
Data flow: OpenText Lens - Data Visibility ? Loci
OpenText Lens can classify and flag sensitive, confidential, or regulated content across repositories. Loci can then use those classifications to exclude restricted assets from recommendation models and content feeds. This helps marketing, communications, and digital experience teams personalize content without exposing information that should not be broadly distributed.
Business value: Reduces compliance risk and prevents accidental promotion of restricted content.
Data flow: OpenText Lens - Data Visibility ? Loci
Before launching or expanding personalization initiatives, organizations can use OpenText Lens to identify redundant, obsolete, or duplicate content. That content intelligence can be used to clean the source library before Loci begins recommending assets. This is valuable for large CMS environments where poor content hygiene weakens recommendation accuracy and increases maintenance effort.
Business value: Improves recommendation quality and reduces the operational burden of managing large content libraries.
Data flow: OpenText Lens - Data Visibility ? Loci
OpenText Lens can analyze content metadata, themes, and repository structure to identify content clusters by topic, business unit, region, or product line. Loci can then use that structured understanding to recommend content aligned to specific audience segments, such as sales teams, customer support, or regional marketing groups.
Business value: Enables more precise personalization and better content discoverability across enterprise audiences.
Data flow: OpenText Lens - Data Visibility ? Loci
During CMS modernization or content platform migration, OpenText Lens can inventory and assess unstructured content to determine what should be migrated, archived, or retired. The approved content set can then be loaded into Loci to support personalized experiences in the new environment. This is useful when organizations are consolidating multiple repositories and want to avoid migrating low-value content.
Business value: Lowers migration cost, reduces content sprawl, and accelerates time to value for personalization programs.
Data flow: Bi-directional
Loci can provide engagement signals such as clicks, views, and content popularity back to governance teams, while OpenText Lens provides content risk and quality insights to the recommendation layer. Together, these inputs help teams identify which content is both high-performing and compliant, and which content should be reviewed, refreshed, or retired.
Business value: Aligns content governance with actual user behavior and supports continuous content optimization.
Data flow: OpenText Lens - Data Visibility ? Loci
For regulated industries such as financial services, healthcare, or insurance, OpenText Lens can scan knowledge repositories to identify policy documents, procedures, and reference materials that meet governance standards. Loci can then recommend only those approved assets to users based on role, behavior, or search history. This supports secure self-service while reducing reliance on manual content curation.
Business value: Improves employee access to trusted information while supporting auditability and compliance.
Data flow: OpenText Lens - Data Visibility ? Loci
OpenText Lens can uncover duplicate versions, stale documents, and low-value content that dilute search and recommendation relevance. By passing rationalization insights to Loci, organizations can prioritize high-quality content in recommendation logic and suppress content that creates noise. This is particularly effective in large enterprises with decentralized content ownership.
Business value: Increases content relevance, reduces user frustration, and improves adoption of digital content platforms.