OpenText Content Metadata Service - OpenText Internet of Things Platform Integration and Automation

Common Integration Use Cases Between OpenText Content Metadata Service and OpenText Internet of Things Platform

1. Standardized asset metadata for IoT-connected equipment

Data flow: OpenText Internet of Things Platform ? OpenText Content Metadata Service

IoT devices on production lines, utility networks, or logistics fleets generate asset events that can be enriched with standardized metadata such as asset ID, site, equipment class, maintenance owner, and compliance category. The metadata service acts as the system of record for these definitions, ensuring that sensor data and related documents are classified consistently across repositories.

• Improves search and retrieval of equipment records, manuals, and service history
• Supports consistent naming and classification across plants, regions, and business units
• Reduces manual tagging effort for operations and maintenance teams

2. Automated document classification for IoT alerts and incident records

Data flow: OpenText Internet of Things Platform ? OpenText Content Metadata Service

When the IoT platform detects abnormal readings, threshold breaches, or device failures, it can trigger the creation of incident records, inspection reports, or work order attachments with predefined metadata. This enables automatic classification by incident type, severity, location, and device category, making it easier for support teams to route and prioritize cases.

• Speeds up incident triage and escalation
• Improves auditability of sensor-driven events and responses
• Helps service teams locate all related records for a specific outage or failure

3. Metadata-driven analytics for operational dashboards

Data flow: Bi-directional

The metadata service can provide the IoT platform with standardized dimensions such as plant, line, product family, vendor, and maintenance group. In return, the IoT platform can publish sensor readings and operational events tagged with those metadata values. This creates a reliable foundation for dashboards that compare performance across sites, assets, and business units.

• Enables consistent KPI reporting across multiple facilities
• Supports root-cause analysis using shared business context
• Improves executive visibility into operational performance

4. Compliance evidence management for regulated operations

Data flow: OpenText Internet of Things Platform ? OpenText Content Metadata Service

In regulated industries such as utilities, manufacturing, and food processing, IoT data often serves as evidence of temperature control, equipment calibration, or environmental compliance. The metadata service can enforce required fields such as regulation type, retention class, inspection date, and responsible department so that evidence is stored and retrieved according to policy.

• Supports retention and governance requirements for operational records
• Makes compliance audits faster and less manual
• Reduces risk of incomplete or misclassified evidence

5. Maintenance knowledge base linked to device telemetry

Data flow: OpenText Content Metadata Service ? OpenText Internet of Things Platform

Maintenance procedures, troubleshooting guides, and engineering drawings managed in content repositories can be indexed with standardized metadata such as device model, failure mode, and service interval. The IoT platform can then use that metadata to recommend the right document when a sensor indicates a likely fault, helping technicians act faster in the field.

• Connects live telemetry to the correct repair documentation
• Reduces downtime by improving technician decision-making
• Improves reuse of engineering and service content across assets

6. Asset lifecycle traceability from installation to decommissioning

Data flow: Bi-directional

As devices move through installation, operation, maintenance, and retirement, the IoT platform can update operational status while the metadata service maintains the authoritative classification structure for lifecycle stage, ownership, and location. This creates a complete traceability chain for each connected asset, including linked documents, service events, and sensor history.

• Provides a single view of asset history for operations and finance teams
• Supports warranty claims, service planning, and replacement decisions
• Improves governance over asset-related content and telemetry

7. Cross-system workflow for exception handling and corrective action

Data flow: OpenText Internet of Things Platform ? OpenText Content Metadata Service

When the IoT platform detects repeated anomalies, it can initiate a corrective action workflow that stores supporting evidence in the content environment with standardized metadata. The metadata service ensures the case is tagged by issue type, site, asset class, and owner, allowing quality, operations, and engineering teams to collaborate on resolution.

• Creates a structured handoff from monitoring to remediation
• Improves accountability across operations, quality, and engineering
• Makes recurring issues easier to analyze and prevent

8. Enterprise search across IoT events and related content

Data flow: Bi-directional

By aligning metadata models between the two platforms, users can search for an asset, location, or event and retrieve both sensor history and related content such as service reports, SOPs, inspection forms, and compliance documents. This is especially valuable for support centers and field teams that need a complete operational context quickly.

• Reduces time spent switching between systems
• Improves first-time resolution for service and support teams
• Creates a more complete digital record for each connected operation