Welfare benchmarking using large datasets enables identification of management factors associated with better welfare outcomes across pig farming systems.
Data science applied to welfare benchmarking translates research evidence into actionable farm-level guidance. When farms can see how their welfare performance compares to others in similar systems, and understand which management factors distinguish better performers, they have both motivation and direction for improvement. The scale of this approach means welfare benefits for millions of pigs across participating industries.