OpenText Network Operations Management (NOM) — Data & Dashboards

 Blog Series: OpenText NOM — Part 5

➡ Part 1 — SNMP Explained
➡ Part 2 — Network Discovery & Monitoring
➡ Part 3 — Event & Incident Management
➡ Part 4 — Automation

After automation, the most valuable capability in a NOC is data visibility.

Monitoring tools don’t just collect metrics — they transform raw data into operational intelligence through dashboards.

This is where operators stop reacting and start predicting.

📌 Why Data Visualization Matters

Without dashboards:

  • Operators check devices individually

  • Problems detected late

  • No capacity planning

With dashboards:
✔ Centralized visibility
✔ Trend analysis
✔ Early detection
✔ Executive reporting

🖼️ Network Operations Dashboards

Network operations center monitoring dashboard example
Network operations center monitoring dashboard example1

Network operations center monitoring dashboard example2
Network operations center monitoring dashboard example3

Types of Data in NOM

1️⃣ Availability Data

Shows uptime status of devices and services.

Example metrics:

  • Device reachability

  • Service health

  • Interface status

2️⃣ Performance Data

Collected periodically using **Simple Network Management Protocol polling.

Examples:

  • CPU utilization

  • Memory usage

  • Bandwidth utilization

  • Latency

3️⃣ Fault Data

Generated from events and alarms.

Used to identify:

  • Root causes

  • Frequent failures

  • Unstable devices

4️⃣ Capacity Data

Used for planning and forecasting.

Example:
Network bandwidth trend over 6 months.

🖼️ Performance & Trend Charts


Operational vs Management Dashboards

Operational DashboardManagement Dashboard
Real-time statusWeekly/monthly trends
Used by NOC engineersUsed by managers
Alarm focusedKPI focused

Key Dashboard Widgets

Typical widgets include:

  • Top devices by CPU

  • Top bandwidth consumers

  • Critical alarms

  • Availability percentage

  • Interface errors

Predictive Monitoring

By analyzing historical data, teams can predict failures.

Example:

Bandwidth steadily increasing →
Link saturation in 2 months →
Upgrade scheduled before outage

🖼️ Predictive Analytics

Network bandwidth and performance trend monitoring graphs
Predictive monitoring anomaly detection infrastructure
Uploading: 96427 of 96427 bytes uploaded.

Role-Based Dashboards

Different users need different views:

RoleView
OperatorActive alarms
Team LeadDevice health summary
ManagerSLA compliance
ExecutiveService availability %

Best Practices

✔ Keep dashboards simple
✔ Avoid alert overload
✔ Highlight critical metrics
✔ Use color coding
✔ Track trends not only alerts

Real-World Example

Daily report:

  • Availability: 99.98%

  • Incidents: 3

  • MTTR: 12 minutes

  • Top issue: WAN latency

Management can quickly evaluate service quality.

📚 Recommended Reading

🎯 Conclusion

Monitoring collects data.
Dashboards create insight.
Insight enables prediction.

Data-driven operations are the final step toward proactive infrastructure management.

💼 Professional Support Available

If you are facing issues in real projects related to enterprise backend development or workflow automation, I provide paid consulting, production debugging, project support, and focused trainings.

Technologies covered include Java, Spring Boot, PL/SQL, CMS, Azure, and workflow automation (jBPM, Camunda BPM, RHPAM).

📧 Contact: ishikhanirankari@gmail.com | info@realtechnologiesindia.com

🌐 Website: IT Trainings | Digital metal podium

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