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Using Data Analytics

to Manage Modern Slavery Risk

Type

Practice Note

Version

1.0

Date

June 2025

Summary

This article outlines how data analytics can be used to support modern slavery risk management in complex supply chains. It offers practical guidance for compliance professionals on how to assess risk at the entity, raw material, and geographic levels, as well as how to identify elevated-risk service providers and manage risks such as transshipment. The article emphasizes the importance of using structured ERP and trade metadata, as well as public risk sources and screening tools, to drive targeted, scalable due diligence.

We also explore where new tools—such as graph analytics, virtual supply chain mapping, and material-level screening platforms—can supplement internal efforts. This is not a call to implement every strategy described, but rather to spark ideas and help compliance teams identify realistic starting points based on their systems, suppliers, and regulatory exposure.

If you have ideas, tools, or techniques that have worked for your organization, we’d love to hear about them. Please share them using the feedback button below.

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