The story: Safety has a data problem…but it isn’t for a lack of data.
Modern organisations capture exponentially more safety data than 10 or even five years ago. Yet, despite all the talk of readiness and resilience, most organisations remain in a reactive stance — using data largely to look backward rather than forward. Reporting on “what happened” rather than using insights to predict “what might happen next” is one reason why serious safety events still harm people and productivity at so many organisations.
The surface-level problem is data fragmentation — a story that, at this point, should be familiar to most business leaders. Safety data remains isolated across different systems, teams, locations, workflows and risk types. The most consequential safety events come from risks that converge and cascade — the type of compound risk that a compartmentalised view cannot see.
But the problem runs deeper than the data. Technology silos often reflect the divisions already ingrained in an organisation’s structure, workflows and culture. Connecting the data can expose previously invisible relationships, but if people, processes and responsibilities remain siloed, organisations may still struggle to act on what they see.
The evidence
Investing in risk monitoring is increasing: EcoOnline’s research showed a 25% increase in the percentage of workers that say their employers are investing in improving physical hazard assessment since 2025. (EcoOnline 2026 Workplace Safety Report)
Organisations are starting to build up “EHS tech debt”: A National Safety Council report showed organisations are juggling several safety technologies — from an average of 4.4 in manufacturing and 4.2 in utilities to a whopping 5.7 in construction. (NSC report)
Fragmented data limits confidence in EHS visibility: Most organisations (71%) aren’t fully confident that their EHS data gives them an accurate understanding of EHS performance — in part because only 39% of companies have EHS technology integrated with business-wide data systems. (Ernst & Young)
Increasing adoption of safety technology doesn’t track with risk exposure: Between 2020 and 2023, use of risk-management software increased from 32% to 38%, proximity sensors from 27% to 31%, and drones from 15% to 20%. Yet, over the same period, employers and workers reported increased likelihood of exposure to every workplace risk measured. (NSC report)
The big question:
If organisations already have more safety data than ever, why are so many risks still difficult to see before something goes wrong?
The new safety data blind spots
1. The noise problem
Organisations today generate massive volumes of raw safety data — from sensors and occupational health records, to vehicle telematics and frontline reporting. With thousands of data points demanding attention, the challenge becomes determining what matters and where to look first.
Most health and safety teams don’t have dedicated data analysts, leaving them reliant on the analytics capabilities within individual systems. The result: organisations can be data rich but insight poor — surrounded by safety information without an effective way to make sense of it.
2. Siloed safety data
Organisations have accumulated specialised systems for specific problems (often from different vendors): incident management, chemical safety, contractors, permits, lone worker protection, training, emergency response and more. Each can work exactly as intended while the organisation remains blind to risks that cross those boundaries.
Consider a high-risk job involving a relatively inexperienced contractor, hazardous chemicals and approaching severe weather. Each factor may be visible in a different system. But who — or what — is looking across all of them? In many organisations, recognising that compound risk still depends on an experienced person happening to connect the dots.
3. The lagging indicator bias
Most safety data structures are fundamentally historical, meticulously recording incidents, injuries and other events that have already occurred. That information is invaluable for investigation and root-cause analysis — but hindsight alone can’t reveal what’s changing right now.
A more proactive approach draws out leading signals such as near misses, overdue inspections, open corrective actions, unusual exposure readings, equipment conditions and staffing changes. The greatest value comes from connecting those signals to recognise when relatively ordinary conditions are beginning to converge into extraordinary risk.
4. The human data gap
Some of the most valuable safety information is also the hardest to capture and analyse. Incident reports, near misses and worker observations often rely on open-text narratives, subjective assessments and people choosing to report what they see in the first place.
Complicated, time-consuming or punitive reporting can result in minimal or missing information, while terminology, acronyms and subjective descriptions make what is captured difficult to standardise. Contractors and temporary workers can create another gap if they don’t have the same access to company systems.
The result is another blind spot: potentially valuable early warning signals can be inconsistent, buried in narrative data or never captured at all.
What do you think?
Where are the biggest gaps between the safety information your organisation collects and the risks your people actually need to understand?
Advancing safety maturity starts with connecting the data
For decades, the foundation of effective safety management has been compliance. Unfortunately, many organisations are 100% compliant, year after year, but still suffer serious safety incidents.
Compliance is the starting point — the minimum viable product. But it is not a viable defence against a major disruptive safety incident – particularly when explaining it to the C-suite, the board, investors or (worst of all) the employees in danger.
The expectation is increasingly that organisations work to become proactive, predictive and preventive. Advancing safety maturity — moving from a more reactive stance toward a truly proactive approach — requires closing the blind spots discussed above, so your organisation can begin seeing the connections between safety data.
Safety maturity framework
What do you think?
How much of the information your organisation uses to understand risk tells you what has already happened — versus what may be changing right now?
Connecting the data isn’t enough: Building a connected safety culture
There’s a danger in viewing this solely as a data problem. Safety technology silos often reflect deeper divisions in how safety itself is organised — across teams, workflows, responsibilities and regulatory requirements.
Connecting the technology can surface previously invisible insights. But turning those insights into action requires the organisation to become more connected, too. Four shifts can help:
1. Think across safety silos: Different teams have traditionally owned different risks, systems and responsibilities — and developed processes around what falls within their remit. But a connected safety risk insight may cross several of those boundaries, raising a new question: Who owns it, and who is empowered to act? Safety teams need to become as connected as the information they’re working with, because connected data requires connected decision-making.
2. Look beyond what you’ve always measured: 82% of companies still rely on lagging indicators — incidents, injuries, and other outcomes they already know how to quantify. But a more proactive approach requires moving from what’s easiest to measure to thinking “What should we be measuring/looking for?” That means focused training to help your people look across different types of information to see patterns, relationships, and the faint signals that present early indicators.
3. Prepare your people: People are always resistant to change. New tech like wearable sensors and new predictive indicators of safety risk can raise legitimate concerns about privacy, surveillance, and how the information will be used (or used against them). Put simply, if workers don’t trust the technology, adoption suffers — and so does the quality and utility of the data. As new technology is deployed, it’s just as important to prepare your people to understand the purpose, embrace the possibilities, and find new ways of working with the new information and insights.
4. Prioritize risk and resources: Ultimately, organisations can’t prevent or prepare for every possible risk. Connected insights should help identify which hazards are most likely, most consequential or beginning to compound, so organisations can prioritise finite resources accordingly. That means focusing prevention where intervention can have the greatest impact, while investing in preparedness and resilience for risks that can’t be eliminated
What do you think?
If your organisation connected all of its safety data tomorrow, would your people and processes be ready to act differently because of it?
See what connected safety looks like
EcoOnline brings EHS, chemical management, sustainability, lone worker protection and emergency response tools together to help organisations:
Identify patterns and emerging risks across operations
Keep chemical safety information current and accessible
Simplify compliance and sustainability reporting
Support lone workers wherever they are
Coordinate emergency response more effectively
Reduce administrative effort, with the potential to improve productivity by up to 10%
More than 11,000 organisations worldwide use EcoOnline to manage safety, compliance and risk.
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Join the live debate — Are organisations ready to act on connected safety insights?
Bringing safety information together promises earlier warnings and a clearer view of risk. Yet insight only improves outcomes when someone owns it, workers trust the systems behind it, and teams are ready to respond across traditional boundaries.
Join our expert panel as they explore whether organisations are prepared to act on connected safety intelligence, where it has the greatest potential to prevent harm, and where gaps in culture, accountability, and decision-making still stand in the way.
