How a Leading Port Operator Transformed Data Reliability with Infarsight
Summary
One of North America's largest port terminal operators was facing a growing challenge: inconsistent, unreliable data across their critical analytics functions. With dozens of terminals, JV partnerships, and complex operational workflows, their data pipelines were stretched thin. Infarsight stepped in to build a business-as-usual (BAU) analytics operations layer, eliminating noise, restoring trust in daily dashboards, and freeing up analysts to focus on decision-making rather than data repair.
The Situation
In port operations, data is more than reports, it’s real-time readiness. From EBITDA to crane utilization, over 100 KPIs across financial, operational, HR, and enterprise analytics drive daily decisions.
But beneath the surface, data processes were fragile.
- ETL/ELT jobs failed quietly.
- Dashboards missed refresh windows.
- Analysts played detective more than analyst.
- Leaders hesitated to act on data they couldn’t trust.
The result: uncertainty at the moment decisions mattered most.
The Challenge
The analytics stack spanned:
- Financial KPIs: Revenue, Demurrage, EBITDA, P&L
- Operational Metrics: Turnaround time, Lift counts, Yard and crane efficiency
- HR Insights: Productivity, Overtime, Attrition trends
- Enterprise Views: Across divisions, JVs, and site-level breakdowns
Yet none of this worked without guaranteed data reliability.
The organization needed monitoring, automation, and peace of mind.
What We Did
Infarsight was engaged to implement a business-as-usual data operations model that ensured every KPI was both visible and trustworthy.
We focused on three core actions:
1. Real-Time Monitoring
Wrapped every ETL/ELT job with active observability to detect issues before dashboards broke.
2. Proactive Resolution
Introduced playbooks, alerting, and auto-remediation to handle feed failures without manual intervention.
3. Reliable Data Availability
Ensured complete, timely, and consistent KPI coverage across all analytics layers, from the terminal to the boardroom.
The Results
| Impact Area | Before vs After |
|---|---|
| ⏱️ Operational Latency | Dashboards updated on time, every time |
| 📉 Escalations | 97% reduction in data-related tickets |
| 👩💻 Analyst Efficiency | 40% time unlocked from troubleshooting |
| 🔄 Trust in KPIs | 100% uptime across financial and ops metrics |
Voice from the Ground
“Before Infarsight, data issues were always someone’s problem. Now, they’re just solved, quietly, automatically.”
Head of Analytics
Why It Matters?
This wasn’t a one-time fix. It was the foundation for sustainable analytics maturity.
With Infarsight, data reliability moved from reactive to routine.When your dashboards are predictable, your decisions can be bold.
Tired of betting on broken data? Let’s build something dependable.
Let’s talk.