Harnessing Data and Intelligence for Collective Advantage 2026

The Thailand POC gives a first indication of how the Partnership can create value for a wide range of stakeholders by translating collaboration into practical benefits. Each actor stands to gain from shared intelligence – whether through stronger governance, improved efficiency, more effective advocacy or greater accountability across supply chains. For governments –Improves visibility across migration and labour systems –Supports targeted labour inspection, intervention and responsive policy design through shared intelligence –Strengthens trade relationships by improving transparency, advancing worker protection capability and reducing risk across international supply chains For businesses –Enhances forced labour due diligence by integrating worker voice data, enforcement records and cross-border migration patterns –Reduces duplication and compliance costs through secure integration of existing data streams –Enables more targeted and preventive action by helping companies identify patterns and areas of elevated risk For civil society and worker organizations –Ensures that worker grievances and field-level insights inform systemic action –Strengthens capacity for evidence-based advocacy and prevention For investors and donors –Provides credible data to assess impact and allocate resources effectively For international institutions and data platforms –Enables alignment of definitions and metrics without centralizing databases Through this structure, the Partnership can function as connective tissue that links multiple existing initiatives into a coherent system of accountability. It leverages, rather than replaces, prior investments and helps participants see how collaboration can generate both individual and collective value. Emerging use cases and impact pathways include those outlined in Table 1.2.5 Stakeholder value and collective advantage Examples of emerging use cases and impact pathways TABLE 1 Use case Potential value Examples of data to explore federation Protecting vulnerable populations and strengthening humanitarian responseConnecting humanitarian, migration and labour data to anticipate vulnerability and guide interventionLabour inspection data, migrant registration records, humanitarian assessments Building supply chain visibility and corporate accountabilityCombining company, supplier and enforcement data to strengthen due diligence and reduce audit duplicationSocial audit data, supplier questionnaires, recruitment agency data, grievance mechanisms Elevating worker voice and embedding empowerment in solutionsIntegrating worker voice and grievance data with independent datasets so worker perspectives shape response and remedyWorker surveys, hotlines, union/association reports, digital worker voice appsApproach to data protection All worker-level data is de-identified at the source, with metadata scrubbing to prevent indirect re-identification. Access controls and differential privacy techniques ensure that no analysis can be traced back to individual workplaces or persons. These safeguards are developed in consultation with data protection specialists and reviewed as the implementation advances. Analytical outputs are aggregated by default and not attributable to individual participants unless explicitly authorized, enabling shared learning and policy use while preserving control and consent. Harnessing Data and Intelligence for Collective Advantage: Ending Forced Labour in Global Supply Chains 18