1. The document discusses characterizing risk in supply chains, with a focus on human trafficking in agriculture. It identifies key challenges in understanding risk, including lack of information about lower tier suppliers. 2. Using data analysis, a methodology was established to characterize risk from supplier survey responses at the country, state, and item level. This allows identification of high risk vendors and areas for mitigation. 3. Opportunities exist to enhance risk characterization by incorporating additional publicly available and paid data sources, and monitoring industry news and social media.

1. Characterizing Risk in Your
Supply Chain March 2014
Open Analytics Summit

2. Chris & Tom- Can you scale/make this fit
within the box or customize the blue to
cover the white above and below?

3. Disruption Factors

4. Case Study

5. General background of HT in Agriculture
In the US, Agriculture is the 7th most common labor
trafficking industry according to the Polaris Project.

6. Key Challenges
1. Supplier non-responses
2. High over-turn of small suppliers
3. Understanding Tier 1 Supplier landscape does not dive deep
enough to capture overall risk.
4. Lack of information on Tier 2, Tier 3 suppliers, etc.
5. Initial supplier survey did not solicit enough quantitative data

7. Understanding Global Risk at a Country, State and
individual item level.

8. Risk Characterization of All Responses
● Identification of potential
high risk vendors and areas to
focus on for risk mitigation
and further analysis
● Establishment of a
methodology which can be
used to process all future
Vendor surveys
● Identification of
enhancements to survey
questions
Risk Characterization of All Responses
Statistical Distribution of Risk

9. Enhanced Risk Characterization
● Enhanced risk
characterization going
beyond Tier 1 resulting in
more reliable information
● Establishment of a methodology
which can be used to process all
future & non-responsive Vendor
surveys requiring less data from
vendors
● Interactive map which could
in the future be used by
analysts and on web

10. Opportunities
1. Wealth of publicly available data to draw from (NGOs,
Governmental and inter-governmental data)
2. Paid data subscription services can greatly enhance scope
of data
3. Best practice in remediation available
4. Industry news subscriptions for sector
5. Social media monitoring and alerting