My first few weeks at Spinnaker have been a bit of a whirlwind.

You could probably describe it as information overload mixed with maritime technology networking. But honestly, it’s been great. There’s a lot going on in this space, and it’s been genuinely exciting getting under the surface of it.

Over the past month, I’ve spent time speaking with a range of people across the maritime technology ecosystem. That includes shipping companies going through digital transformations, product businesses building vessel performance platforms, and everything in between.

In numbers, that’s looked like 12 in-depth client meetings, 23 business development conversations, 20+ candidate discussions, alongside conversations with several maritime data analysts, and starting work on a handful of interesting roles.

A pretty good cross-section of the market overall.

And across all those conversations, one theme kept coming up.

Maritime doesn’t have a data collection problem. It has a data utilisation problem.

There is no shortage of data, if anything, the industry is generating more data than ever.

Vessels are producing high-frequency telemetry. Training platforms are tracking competency and behaviour. Crew systems are storing certifications, records, and feedback. Performance platforms are analysing fuel, emissions, and operational efficiency.

The infrastructure is there. In many cases, it’s been there for years.

So, the issue isn’t whether the data exists. It very clearly does.

The real question is: what happens next?

This is where things start to get interesting.

What I’ve seen repeatedly is that data often gets collected, stored, and reported on, but doesn’t always make the leap into actual decision-making.

Some organisations don’t fully trust the data they have. Others struggle to connect systems together. In many cases, insights exist, but they’re not embedded into day-to-day operations.

This means you end up with dashboards, reports, and visibility, but not always action.

Fragmentation is still everywhere

A big part of this comes down to fragmentation.

Data lives across multiple systems. The same information is entered more than once. Different tools use different formats and definitions.

Even something as basic as ETA (Estimated Time of Arrival) isn’t always consistent across systems. Different companies, and even different platforms, might label or interpret it slightly differently. One system might call it ETA, another “Estimated Arrival”, another “Time to Port”, and in some cases it’s calculated in completely different ways.

It sounds like a small detail, but at scale this creates real challenges when trying to integrate systems or rely on the data.

And this isn’t just a systems issue. It’s operational too.

In some cases, new technology is being layered on top of processes that are still manual, inconsistent, or regionally fragmented.

Ownership and trust

Another theme that came up frequently is ownership.

Who actually owns the data?

In practice, it’s often unclear. And when ownership is unclear, trust becomes an issue.

If teams don’t fully trust the data – where it came from, how it’s been handled, whether it’s complete – they’re far less likely to act on it.

Capability vs adoption

What’s interesting is that the capability is clearly there.

There are platforms today that can benchmark performance, simulate scenarios, automate workflows, and provide near real-time insights.

But many organisations are still:

• Using only a fraction of what they have
• Running manual processes alongside digital systems
• Or trying to build similar capabilities internally

So, the gap isn’t capability. It’s adoption.

A broader shift underway

It feels like the industry is in a transition phase.

Some organisations are still focused on foundational work like cloud migration and system modernisation. Others are pushing further into analytics, AI, and more advanced decision-making tools.

At the same time, there’s a growing focus on platforms. The systems that sit at the centre of operations. Because ultimately, whoever owns those platforms has the best access to data, and that shapes everything that comes after.

But the more conversations I’ve had, the clearer it’s become that this isn’t just a technology challenge.

It’s about how organisations operate.

You can have the best tools in place, but if the processes are broken, the data isn’t trusted, or teams aren’t set up to use it properly, the value never really materialises.

The growing need for translation, not just analysis

One thing that’s come through very clearly – especially from speaking with data professionals – is the growing need for people who can translate data into action.

Not just analysis. Not just dashboards.

But real, practical outcomes.

Increasingly, companies are being asked not just to provide data, but to help use it to improve performance.

And that’s a different level of expectation.

What I’ll be watching next

Based on what I’ve seen this month, I’ll be keeping a close eye on:

• How digital transformation is actually being executed in practice
• Cybersecurity as a growing blocker, not just a risk
• How organisations approach build vs buy decisions
• And how data moves from being collected… to being used

What I’m taking from this

It’s still early days for Spinnaker and myself in this space, but one thing already feels clear.

The next phase of maritime digitalisation won’t be defined by how much data is collected.

It will be defined by what’s done with it.