Data fusion integrates information from multiple sources by matching on hazard type, task type, location, date, workgroup) to produce valuable insights that cannot be achieved using a single data source. We combine qualitative data (surveys, interviews) and quantitative data (inspections, incidents, maintenance logs, sensors, etc.) to identify additional leading indicators. This integration captures not just numbers, but also valuable human insights that might signal system weaknesses and emerging risks.

After data fusion, we analyze the merged data using various quantitative and semi-quantiative methods. As operations within organizations become more connected, using data fusion can be critical to building safer, resilient, and efficient safety management systems. This enables faster decision-making , fewer unplanned deviations, and enhances risk management for employees, the environment, and infrastructure. For operational leaders, this means holistic safety insights, contextualized monitoring, and more efficient resource use.