Primer · 1 page

What Is Data Fusion, and How Do We Use It?

What can two data sources show that one cannot?

Data fusion joins qualitative sources such as surveys and interviews with quantitative ones such as inspections, incident data, maintenance logs and sensors, matched on hazard, task, location, date and workgroup. This primer explains how that combined view reveals leading indicators that no single data source can show.

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How data fusion matches sources on hazard, task, location, date and workgroup.
Why combining qualitative data (surveys, interviews) with quantitative data (inspections, incidents, maintenance logs, sensors) captures human insight that numbers alone miss.
What it means for operational leaders: holistic safety insight, contextual monitoring and better use of resources.

Who should read it?

Leaders whose risk data lives in several systems that don’t talk to each other.

Solution

What Is Data Fusion, and How Do We Use It?

Who should read it?

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