Using Data to Prevent EHSS Risks

We understand that manufacturing COOs, Operations, and Safety leaders don’t need another dashboard—they need operationalized data in real-time. After countless interviews and engagements over the past two years, we’ve transformed this understanding into action with our latest platform update under one single initiative: Bridging the gap between work as planned and work as done. Here are key insights we gathered across the industry’s leading brands: 🦺 Safety cannot be a concept. Operations and Safety Alignment is non-negotiable. Everyone must align on objective data to act on. Human error can lead to incidents but can also be a reason for subjective data. If we can’t rely on and trust that data, how can we operate? Our update bridges the gap between work as planned and work as done. 🦺 Actionable Insights: Industrial safety is challenging, and we don’t need more consultancy terms creating conceptual gaps. What matters are leading indicators to create instant alignment and actionable insights that truly save lives. Operators and frontline teams know this. You can build beautiful presentations with tons of suggestions, but you are only as good as what you actually execute. And when it comes to the safety of the people we work with, this should be non-negotiable. 24/7 coverage of unsafe acts and conditions is what our customers value, changing their operations and aligning entire organizations. Talk is cheap. Let me show you how we have done it: 1- Global Maps View: Executives can see safety performance in real-time across all sites with simple red, green, and amber indicators, focusing instantly on regional and plant-based performance. Our proprietary safety scores include risk exposure calculations with occupancy, AI accuracy, and hazard risk levels baked in. 2- Region/Business Unit View: Zoom in to see plant teams, including GMs, EHS managers, and operations leaders who execute daily operations to keep teams safe. Now, you can see regions and business units, identify best practices, and promote them across your teams to improve. No more yearly cycles of safety initiatives; risk is much more fluent than everyone thinks in manufacturing. Predicting it is a fool’s errand; not reacting to leading indicators is what makes you vulnerable. Now Intenseye eliminates this. 3- Plant/Facility Team View: Drag and drop a facility floor plan to build your camera and AI coverage. Align safety teams and operations on the facility view. Zoom further to see connected cameras, plant section safety scores, and a heatmap of the facility floor plan to pinpoint areas needing attention. I would like to thank all intenseye teams for their relentless pursuit of this task and our customers for their invaluable insights, learnings, and for operationalizing Intenseye to save lives! 📖 Read more from our team and stay tuned for even bigger things on the horizon : https://lnkd.in/daptvhu5

A standard MIS on safety is just a feel good factor. Standard leading and lagging indicators are TIR, TRIF, LTI, near miss, training manhours. But if you are a site head or a site EHS head, does this data give you comfort? My answer is a big NO. I would rather identify Top 5 risks at the site. This should include people and process risks. The top 5 risks are those risks that will fall in the red zone of 5*5 or 8*8 Matrix if the barrier fails. All the workforce at the site should know what are the top 5 risks at the site. The answer should be unanimous .Better to display TOP 5 risks. Given that you now know the top 5 risks , develop MIS that will give you an indication on the strength of processes to manage these 5 risks. Let me give an example ( just indicative) If an exothermic reaction is identified as a process safety risk I would have the following MIS ready on my table for review Number of safety excursions (Pressure/temperature) of the day Number of critical equipment used for exothermic reactions inspected The number of critical equipment failed during inspection Root cause of failure Number of critical equipment inspection overdue Status of deviations It is important that we know what are the top 5 risks and which set of MIS will give comfort or constant unease! A focussed review of this MIS is critical to manage the risks. Traditional MIS should continue but a risk based MIS will add more value!

Data-Driven Risk Assessment (DDRA) Unlike traditional risk assessments, Data-Driven Risk Assessment (DDRA) relies on data analytics, predictive modeling, and real-time information to make risk management more proactive and precise. Elements of Data-Driven Risk Assessment: 1. Data Aggregation: DDRA starts with the collection and aggregation of data from various sources within an organization. This data can encompass financial records, operational data, cybersecurity logs, and more. 2. Data Analysis: The collected data undergoes rigorous analysis using statistical and machine learning techniques. This analysis identifies patterns, trends, and potential risk indicators that might be hidden within the data. 3. Predictive Modeling: DDRA often employs predictive models to forecast potential risks. These models take historical data and use it to predict future risk scenarios, enabling proactive risk mitigation. 4. Real-Time Monitoring: Unlike traditional risk assessments, DDRA doesn't stop at a single evaluation. It involves continuous, real-time monitoring of data streams to promptly detect and respond to emerging risks. 5. Scalability: DDRA can scale according to the organization's needs. It can handle vast datasets and adapt to different types of risks, from financial and operational to cybersecurity and compliance. Advantages of DDRA 1. Early Risk Detection: DDRA excels in identifying risks before they escalate into significant issues. This early detection allows organizations to take preventive actions. 2. Customized Risk Mitigation: By pinpointing specific risk factors through data analysis, DDRA enables organizations to tailor risk mitigation strategies to address their unique challenges. 3. Efficiency Gains: With automation and real-time monitoring, DDRA streamlines the risk assessment process, saving time and resources. 4. Data-Informed Decisions: DDRA empowers decision-makers with data-backed insights, facilitating informed choices that enhance risk management. 5. Competitive Advantage: Organizations that embrace DDRA gain a competitive edge by staying ahead of potential risks and optimizing their operations. Implementing Data-Driven Risk Assessment Successfully: 1. Data Quality Assurance: Ensure that the data collected and analyzed is accurate, up-to-date, and reliable to make informed decisions. 2. Cross-Functional Collaboration: Collaborate across departments to gather relevant data and insights, as risks often span multiple areas within an organization. 3. Technology Adoption: Invest in data analytics tools and platforms that support DDRA, including machine learning algorithms and real-time monitoring systems. 4. Regular Training: Train employees to understand DDRA concepts and use data-driven insights effectively in their roles. 5. Continuous Improvement: DDRA is an evolving process. Regularly review and update your risk models and data sources to enhance effectiveness.

Three weeks after the unfortunate fatal mud rush, we have to ask the difficult questions and my thoughts are with the families and colleagues of those lost. As I’ve been monitoring the situation closely even though the mine website have been shutdown. The imminent baseline risks of old pits filled with water are clearly identifiable through satellite imagery. This raises a vital point: the data is often there, but are we acting on it in time? Do we do independent external and internal reviews of designs by experts? The MHSA provides the framework to prevent these disasters, and tools like the Bow Tie risk analysis exist specifically to provide defense-in-depth. If the barriers fail, then mitigation controls must be robust enough to save lives.The technology such as remote sensing to see these risks also exists today. Adhering to ISO 31010 principles through Bow Tie analysis isn't just about compliance; it’s about visualizing the 'barriers' that stand between a hazard and a catastrophe. When satellite data shows a breach in those barriers, the ISO framework demands immediate action The guidelines to prevent the disaster also exist. #Mining #SafetyStandard #RiskMitigation #GeospatialData #WorkplaceSafety