Harnessing Data and Intelligence for Collective Advantage 2026
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What’s already happening in business and policy BOX 2
–Corporate action: Many leading companies
have embedded human rights due diligence,
supplier codes of conduct and responsible
recruitment policies across their global
operations and supply chains.
–Industry collaboration: Sector alliances (e.g.
apparel, electronics, agriculture) are developing
shared tools for audits, worker voice
amplification and grievance management.
–Government frameworks: National laws and
trade policies increasingly require supply chain
transparency and forced labour risk reporting. –International cooperation: The ILO,
International Organization for Migration (IOM)
and other United Nations (UN) partners
coordinate technical assistance, global
estimates and standards alignment.
Why it still matters: Despite these advances,
most systems rely on disconnected data
sources, creating duplication and information
gaps. A trusted and interoperable model of
collaboration is needed to connect existing
efforts, transforming parallel initiatives into
shared visibility.(EU), and due-diligence legislation in Germany,
France, Norway and Switzerland are strong
external drivers of change.11,12 Legislative progress
across East Asia, South-East Asia and the Gulf
Cooperation Council has added further momentum,
while hundreds of global brands invest in worker
voice platforms and traceability technologies.13,14
Each of these efforts generates vast amounts of data,
on suppliers, recruitment, enforcement and worker
conditions, but most of it remains locked within
institutional boundaries or incompatible systems.These advances have built essential momentum
in addressing forced labour, yet progress
remains insufficient. Most systems still operate
independently, limiting the ability to see risks
across supply chains or act on them collectively.
Even where strong commitment exists, the
information and tools needed for coordinated,
system-level action remain dispersed across
stakeholders, who often do not (or, in some cases,
cannot) collaborate openly due to commercial,
political or reputational sensitivities.
Global supply chains connect millions of enterprises
and hundreds of millions of workers, but data
and information about labour conditions within
them is uneven, siloed and often inaccessible.
Governments collect inspection and migration data;
businesses gather audit and supplier information;
non-governmental organizations (NGOs) and
trade unions document worker experiences and
grievances. Global estimates, statistical guidelines, academic research, grievance mechanisms and
digital platforms have expanded the overall data
landscape.15 Each source offers great value on
its own, yet rarely interacts with others.16 This
fragmentation makes it difficult to consistently and
reliably identify patterns of risk, target prevention
efforts or measure progress effectively.17 The result
is an incomplete picture of the issue at hand and
limited collective capacity to prevent it.1.2 The structural roots of fragmentation:
Data, incentives, trust and governance gaps
Harnessing Data and Intelligence for Collective Advantage: Ending Forced Labour in Global Supply Chains
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