What does it take for airports to become data-driven?

Many airports today are sitting on vast amounts of data, from passenger flows and commercial transactions to flight operations and parking systems. But having data and being data-driven are two very different things. 

So, what does success look like when an airport sets out to become truly data-driven? And what separates the organisations that achieve it from those that struggle? 

In a recent webinar, Paris Bielby, Data Director at CAVU and Jamal Karim, Lead Data Engineer at CAVU, shared their insights on how airports can build data-driven cultures.

CAVU: When airports set out to become more data-driven, what does success look like? 

Paris: 

“When I think about an airport becoming truly data-driven, I see it as a fundamental shift in how decisions are made at every level. It’s not just about implementing technology or dashboards; it’s about creating a culture where data is central to how we think, plan, and act. Every team, such as commercial, operations, finance, marketing, and security, should be empowered to make informed decisions using reliable insights rather than gut instinct or anecdotal evidence. 

Success for a data-driven airport is when data is woven into everyday decision-making: 1. For commercial teams, it means understanding passenger behaviour and optimising inventory, retail and service offerings. 

2. For operations, it means proactively managing flows, predicting congestion, and improving resource allocation.
3. For finance, it means forecasting revenue accurately and spotting trends early. It’s when each of these functions can confidently use data to make faster, better decisions.

Another hallmark of success is how questions and problems are defined. Being data-driven isn’t about collecting everything; it’s about being intentional. Which problems are most critical to solve? Which questions will deliver the highest impact for the airport, passengers, and partners? A successful organisation starts with those questions and aligns its data strategy around them, rather than starting with technology or the latest analytics trend. 

It also requires strong executive sponsorship. Data initiatives that succeed are supported from the top down; leadership invests in infrastructure, skills, governance, and platforms, and signals that using data is a core competency, not a nice-to-have. People need to see that data-driven decisions are rewarded and valued, and that the organisation is willing to change processes and roles to enable that culture. 

Finally, success isn’t just about internal decision-making; it’s about the value generated. This could be smarter commercial offers that increase revenue, operational improvements that enhance the passenger experience, or predictive insights that improve planning across the airport ecosystem. 

Essentially, it’s when the airport can demonstrably show that data is delivering measurable benefits, both in efficiency and revenue growth. 

So, in short, a data-driven airport is defined by culture, alignment to business outcomes, executive sponsorship, and the ability to translate insights into measurable impact.”

CAVU: What are the biggest blockers airports face, and how do you overcome them in practice? 

Jamal: 

“One of the first steps is understanding exactly where data is coming from – passenger systems, flight operations, commercial transactions, parking systems – and mapping how teams currently access it. 

One of the biggest blockers we see is data silos: marketing pulling numbers from one system, finance from another, operations from a third, all with slightly different definitions. That inconsistency erodes trust and slows decision-making. 

So practically, our focus is on creating a unified, governed way of bringing data into a central warehouse or analytics platform. That means mapping sources, defining ingestion patterns, ensuring data arrives on time, and preserving integrity throughout the pipeline. The goal is to give stakeholders a single, trusted view of the truth, whether they’re in finance, marketing, or commercial, so they can focus on solving problems rather than reconciling numbers. 

Trust is foundational. We build that through utilising a modern data platform, ensuring we have reliable ingestion pipelines, automated data-quality checks and can serve the data consistently. 

 knowing what data we hold, tagging sensitive fields, and controlling access appropriately and only when required. When teams trust the data and know it’s up-to-date, they’re far more willing to use it to drive decisions, build new products and essentially generate value. 

A practical example of this is how we provide client airports with access to data they often haven’t had visibility of before. From our central data warehouse, we deliver regularly refreshed reporting through tools like AWS QuickSight, giving airports a clear, consistent view of what’s happening across their commercial and operational estate. 

We also analyse patterns over time, for example, daily car-park arrivals, to identify seasonality, long-term trends, and relationships with external factors such as flight schedules. That insight not only supports day-to-day decision-making today, but also lays the groundwork for more advanced use cases like demand forecasting and predictive planning. 

So, in practice, success looks like this: reliable, governed data flowing consistently into a shared platform, trusted by teams across the airport, and actively used to make decisions or build products that deliver measurable value.”

CAVU: Why do so many data initiatives fail to achieve this vision? 

Paris: 

“The organisations that struggle often make one of a few common mistakes. They might invest heavily in technology without thinking about culture, buying the best analytics platform but not changing how teams work. Or they try to solve everything at once, creating sprawling programmes that lose focus and momentum. 

Sometimes the problem is misalignment. Leadership says data is important, but the incentive structures, ways of working, and decision-making processes don’t change. Or different parts of the organisation are solving the same problem in different ways, creating more silos instead of breaking them down. 

And without trust in the data, whether that’s because of poor quality, inconsistent definitions, or unclear governance, people simply won’t use it. They’ll fall back on instinct, anecdote, or whatever numbers they feel most comfortable with, even if those aren’t the most accurate.” 

Watch the webinar in full and gain indispensable data insights 

This blog is just a snapshot of the insights Paris and Jamal shared during our recent webinar on building data-driven airport cultures. 

In the full session, they explore: 

What ‘good data’ really looks like  

• How to design cross-ecosystem data strategies that connect commerce data across multiple stakeholders 

• How to build robust data governance at scale  

• The shift from fragmented systems to unified architectures that reduce silos and blind spots  

• Frameworks that enable faster, more confident commercial decision-making  

Watch the full webinar and take the first step towards building data foundations for sustainable commercial growth.