Beyond the Buzzwords: What Data Really Means for Construction Companies 

The word data gets thrown around a lot in construction. From “AI-powered insights” to “game-changing reports” it’s become one of the industry’s favourite buzzwords. But here’s the reality: data isn’t valuable because it looks impressive on a slide deck or because someone branded a new tool as “smart.” Data only delivers real value when it’s clean, connected, and understood in the context of day-to-day construction. 

At Kori, a forward-thinking contractor, this lesson has been central to how their team approaches digital transformation. Their Data Architect, James Florey, has seen first-hand how companies can move from scattered spreadsheets to meaningful insights and he’s keen to separate the signal from the noise. 

Why flashy dashboards aren’t enough. 

Many construction leaders have been dazzled by colourful graphs and interactive dashboards. They look sophisticated, but often, half the visuals tell you nothing you didn’t already know. 

As James puts it, “50% of what you see on some reports is useless. It’s just confusing graphs thrown in because they look good.” Real progress isn’t about how fancy your reporting looks; it’s about whether the information helps you take action. 

A simple table that helps a health and safety lead close out inspections faster is far more valuable than a complex visual that no one understands. The lesson? Don’t confuse style with substance. 

Data is more than spreadsheets. 

For years, many contractors treated “data” as an exercise in collecting Excel sheets, exporting from different systems, and stitching it together for board meetings. That approach might tick a compliance box, but it doesn’t provide a true picture of performance. 

Construction today runs on dozens of platforms: project management, safety, time tracking, finance. Each holds valuable information but when they remain isolated, they become fragments rather than insights. A key role of data engineering is to join the dots. 

At Kori, innDex was the first platform they integrated into their central data environment because of its accessible API and the immediate efficiency gains it offered. From there, other systems like Procore followed, allowing the business to start building a connected ecosystem rather than a patchwork of silos. 

Clarity on roles matters. 

One of the biggest misconceptions James highlights is the confusion between data roles: analysts, engineers, and scientists. Too often, construction firms hire an analyst expecting them to “fix data”. 

• Data Analysts provide fast insights, often through visualisations. 
• Data Engineers build the pipelines, integrations, and structure that make insights possible. 
• Data Scientists use statistical models to predict outcomes. 

All three roles matter, but they are not interchangeable. Knowing what expertise you need can make or break your data journey. 

Culture beats technology. 

Another overlooked truth is that the hardest part of data isn’t technical, it’s cultural. A report only adds value if people use it. Buy-in from department leaders, openness to refine reports together, and a culture of collaboration all determine whether data empowers or intimidates. 

James gives a simple but powerful example: Kori’s Health and Safety Director worked closely with the data team to design dashboards that reflected his priorities. Because he was involved, the output was something he trusted and used, turning data into a daily tool, not a dusty file. 

Without that collaboration, reports risk becoming “Big Brother” tools that staff resist. With it, data becomes an assistant, not a critic. 

Looking ahead: from data to decisions. 

So, what does data really mean for construction companies? It’s not about being able to say “we’re digital” or claiming, “we use AI.” It’s about: 

• Creating standardised, reliable processes to ensure good data hygiene. 
• Working with systems like innDex that allow you the flexibility and accessibility to pull data that is meaningful to you. 
• Building integrations between platforms so information tells a joined-up story. 
• Understanding the differences between roles and investing accordingly. 
• Fostering a culture where people see the value in using data to improve their work. 

Buzzwords will come and go. What will remain is the simple truth: data is only as powerful as the decisions it helps you make.