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Data flow: OpenText Documentum to Loci, then Loci back to user-facing portals or search experiences
Documentum stores large volumes of controlled content such as SOPs, policies, clinical documents, engineering records, and compliance materials. Loci can analyze user behavior, document metadata, and content usage patterns to recommend the most relevant documents to each employee or role. This helps scientists, quality teams, legal staff, and field engineers quickly find the documents they need without manually searching large repositories.
Data flow: OpenText Documentum to Loci to portal or intranet layer
When users access a project page, case file, product record, or compliance workspace, Loci can surface related Documentum content based on the current context. For example, a quality manager reviewing a deviation record can be shown related CAPA procedures, prior audit findings, and approved templates stored in Documentum. This creates a more efficient workflow and reduces the need to navigate multiple folders or systems.
Data flow: OpenText Documentum to Loci
Documentum usage data, such as document views, downloads, and workflow activity, can be analyzed by Loci to identify which content is most relevant to different user groups. Compliance, legal, and records teams can use these insights to highlight frequently accessed policies, retire low-value content from prominent views, and improve content organization. This is especially useful in regulated environments where content sprawl can create risk.
Data flow: OpenText Documentum to Loci, with recommendations delivered to HR, learning, or onboarding platforms
Documentum often contains controlled training materials, onboarding guides, and standard operating procedures. Loci can recommend the most relevant documents to new hires, contractors, or employees moving into new roles based on department, location, and prior interactions. This is valuable for life sciences, energy, and government organizations where role-specific training and compliance documentation must be delivered consistently.
Data flow: OpenText Documentum to Loci to employee or manager dashboards
When Documentum publishes a new policy, revised procedure, or mandatory compliance document, Loci can prioritize recommendations for the affected audience based on behavior, role, and content relevance. This helps ensure that users do not miss important updates buried in large repositories. Managers and compliance teams can also use this to drive acknowledgement and review workflows.
Data flow: Bi-directional between OpenText Documentum and Loci, with case or project metadata informing recommendations
In project-based environments, Documentum can provide the authoritative repository for project files, approvals, and records, while Loci recommends related documents from similar projects, prior cases, or historical records. For example, an engineering team working on a plant modification can be shown similar change requests, approved drawings, and lessons learned from previous projects. This improves reuse of approved content and reduces duplication.
Data flow: OpenText Documentum to Loci, with analytics returned to governance teams
Loci can analyze content engagement patterns across Documentum repositories to identify underused collections, duplicate content areas, and high-value documents. Governance, records management, and content administration teams can use these insights to improve taxonomy, refine retention strategies, and streamline repository design. This is especially useful in large enterprises with multiple business units and legacy content stores.
Data flow: OpenText Documentum to Loci to self-service web or mobile portals
For internal or external self-service portals, Documentum can remain the system of record while Loci enhances discovery by recommending the most relevant approved documents based on user profile, prior activity, and content similarity. This is useful for customer support teams, supplier portals, and internal knowledge hubs where users need fast access to the right controlled content without exposing the full repository.