OpenText Core Experience Insights - OpenText Internet of Things Platform Integration and Automation

Common Integration Use Cases Between OpenText Core Experience Insights and OpenText Internet of Things Platform

1. Monitor operator adoption of IoT dashboards and workflows

Data flow: OpenText Internet of Things Platform to OpenText Core Experience Insights

Track how maintenance teams, plant operators, and supervisors use IoT dashboards, alerts, and device views. Core Experience Insights can measure which screens are accessed most, where users drop off, and which alerts lead to action. This helps operations leaders refine dashboard layouts, reduce alert fatigue, and improve adoption of connected operations tools.

• Identify underused IoT views and reports
• Measure response rates to sensor alerts
• Improve training based on actual usage patterns

2. Correlate device event activity with user engagement

Data flow: OpenText Internet of Things Platform to OpenText Core Experience Insights

Send IoT event metadata such as alarm frequency, device exceptions, and asset status changes into Core Experience Insights to understand how users interact with those events in enterprise applications. This supports analysis of whether critical events are being acknowledged, escalated, or ignored, and whether workflows are aligned to operational priorities.

• Compare event volume with user action rates
• Spot delays in acknowledging critical alerts
• Improve escalation rules and response workflows

3. Optimize field technician mobile experience for IoT-driven work orders

Data flow: Bi-directional

Use IoT data to trigger work orders and mobile tasks, then use Core Experience Insights to measure how technicians interact with the resulting content, forms, and instructions. This integration helps service teams understand whether technicians can quickly access the right asset data, complete tasks efficiently, and avoid repeated navigation or rework.

• Trigger maintenance tasks from sensor thresholds
• Measure time to complete work order steps
• Improve mobile UX for field service teams

4. Improve adoption of predictive maintenance recommendations

Data flow: OpenText Internet of Things Platform to OpenText Core Experience Insights

When IoT analytics generate predictive maintenance recommendations, Core Experience Insights can track whether planners and engineers review, accept, defer, or reject those recommendations. This gives asset management teams visibility into how well predictive insights are being operationalized and where decision bottlenecks exist.

• Track acceptance rates for maintenance recommendations
• Identify teams that need better guidance or training
• Reduce unplanned downtime by improving follow-through

5. Measure effectiveness of real-time alert communications

Data flow: OpenText Internet of Things Platform to OpenText Core Experience Insights

IoT alerts can be routed into enterprise content or collaboration experiences, while Core Experience Insights measures which alert formats drive the fastest engagement. This is useful for utilities, manufacturing, and logistics teams that need to know whether email, portal notifications, or embedded alerts are most effective for urgent operational events.

• Compare engagement across alert channels
• Reduce missed or delayed responses
• Standardize the most effective notification patterns

6. Analyze usage of connected operations portals by role and site

Data flow: OpenText Core Experience Insights to OpenText Internet of Things Platform

Core Experience Insights can reveal which roles, plants, depots, or regions are actively using connected operations portals and which are not. Those insights can be combined with IoT platform data to determine whether low usage is linked to fewer assets, poor connectivity, or process gaps. Operations leaders can then target enablement efforts where they will have the most impact.

• Compare portal adoption across sites
• Link usage patterns to operational performance
• Target rollout support to low-adoption locations

7. Support continuous improvement for IoT-enabled business processes

Data flow: Bi-directional

Use IoT platform data to identify process exceptions, then use Core Experience Insights to measure how users interact with the related process steps, documents, and applications. This creates a closed loop for continuous improvement, allowing process owners to see both the operational trigger and the human response. It is especially valuable for quality, maintenance, and logistics workflows.

• Connect sensor exceptions to user process behavior
• Find friction points in exception handling
• Prioritize process redesign based on evidence

8. Validate training impact for IoT-based operational change programs

Data flow: OpenText Core Experience Insights to OpenText Internet of Things Platform

When organizations introduce new IoT-enabled procedures, Core Experience Insights can measure whether employees are actually using the new guidance, dashboards, and embedded instructions. Those adoption metrics can be compared with IoT performance indicators such as reduced downtime, fewer manual overrides, or faster response times to confirm whether training and change management efforts are working.

• Measure adoption after process changes
• Link training completion to operational outcomes
• Identify where additional coaching is needed