.png)
Building a trusted data platform
Is the data you collect telling you what you need to know? At the recent TOC Europe conference, Chema Real Valero presented on how a data backbone is key to operational intelligence.
Is the data you collect telling you what you need to know? At the recent TOC Europe conference, Chema Real Valero presented on how a data backbone is key to operational intelligence.
Terminals generate massive amounts of data every second. TOS events, crane telemetry, truck positioning, maintenance alerts, weather feeds, vessel AIS, gate transactions, equipment status and so on.
In this Big Data era, without careful management, control rooms are at risk of information overload: having access to vast amounts of data, without it giving them useful insights to improve operations. If that data is not structured in the right way for the terminal, there’s a risk it won’t give a true picture of on-the-ground operations.
Many terminals still operate across fragmented systems that capture only partial views of the reality of each movement. Each of these systems records operational events using different formats, timestamps, and levels of detail, which makes it difficult to align them into a consistent view. Siloed data sources don’t present a full picture of operational performance. Instead, each platform tells its own version of the operation:
• The TOS says the move is completed
• Telemetry says the truck is waiting
• Maintenance reports a crane issue
• The control room sees congestion building up.
When these signals are not harmonized, reconstructing the full operational story becomes complex and time-consuming. This creates two risks for terminals: first, there is a huge, missed opportunity to use that data to gain an accurate picture of movements to improve operations. Second, teams don’t trust or see the value that digitalization can deliver in terms of heightened operational intelligence, because it’s not useful to them.
Industry has recently improved how it organizes data through modern layered architectures such as Medallion, where information is progressively cleaned, structured, and prepared for operational use. Data operational sources are now more structured, while the information delivered to control rooms benefits from stronger analytics and a more robust foundation.
However, this data doesn’t translate to meet the immediate needs of a live terminal, where there are synchronized operational flows happening in real time across machines, systems, people, and infrastructure. Well organized data is the first step, but then these data flows need to be connected in order to see and understand how operations unfold across the terminal in real time.
So, how can data be better managed and organized to be more useful in day-to-day operational management?
The role of data backbone
Individual data sources need to be well organized, but they then need to be brought together to reconstruct a real-time business process. This is where the concept of a Data Backbone becomes critical.
At NextPort, we see the data backbone as the operational layer that connects isolated execution signals into a trusted picture of a movement, which creates a structured and standardized representation of how operational processes actually happen.
The role of the data backbone is to:
• Centralize operational data sources
• Harmonize execution signals
• Reconstruct the full container move across systems
• Contextualize events in real time
• Create the foundation for orchestration, continuous improvement, digital twins, and AI
• Align planning data with execution events to enable full traceability across the operation.

This data structure creates a live operational model of the terminal, which replicates how operations behave in real time. It also links planned activities with actual execution, creating a continuous feedback loop between expectation and reality.
This is important because when terminals can reconstruct operational reality end-to-end, they move beyond reactive operations.
They can:
• Identify bottlenecks faster
• Understand root causes of problems
• Compare planning vs execution
• Improve control room decision-making
• Optimize equipment coordination
• Reduce idle time and emissions
• Enable AI-driven operational support
• Continuously improve planning by learning.
By providing this structured and traceable view, the data backbone enables more adaptive and context-aware decision-making, where operations can adjust dynamically to real-time conditions such as congestion, delays, or equipment availability.
All of the technological potential for terminals in the form of advanced digital twins, AI-assisted operations, smart process orchestration, and predictive flow management depends on having consistent, harmonized, and traceable datasets. AI models, automation systems, and simulation engines rely on a true representation of operations to perform effectively.
More than a technical implementation, establishing a data backbone represents a strategic step towards enabling intelligent, data-driven terminal operations. Building a single operational source of reliable data — an on-the-ground operational truth — will be a defining factor in the success of future terminals.






