© 2013 Deloitte Global Services Limited
2nd Global ABC Conference and ExhibitionOctober 2013
Global Migration and Border Management
Next Generation Smart Border Security
© 2013 Deloitte Global Services Limited
Smart Border Analytics: Thinking differently about border security
Paul Adamson – Director, Consulting
Marc Atallah – Director, Analytics
© 2013 Deloitte Global Services Limited
Immigration and Border Security Challenges
400 million travelers crossed
Schengen air borders in 2011
There will be 720 million by 2030.1,800 border
crossing points
7,721 km of land borders
© 2013 Deloitte Global Services Limited
Identify geographic clusters of non-immigrant populations
Understand economic and social drivers and impact of migration patterns
Recognize trafficking patterns of illicit goods
Understand implications of current resource levels at the border
Assess multiple data sources to identify and act on areas of potential risks such as:
Illegal immigration Illicit activities Impacts to social
services EU migration patterns Real time data
Strengthen the criteria used during the visa application process
Inform border front-line officers of common tactics used by individuals who transport illicit goods
Identify high-risk points of entry and deploy resources and technology appropriately
Understand Border Traffic
Inform Operational Decisions
Define Risk Profiles
Next Generation Smart Border Security
© 2013 Deloitte Global Services Limited
Prototyping a Smart Border Analytics Tool
Utilizes “big data” and “advanced analytics” to
determine where problems are and
better track movement in and out
of a country in a geospatial manner
Creates predictive risk
profiles of illegal migrants
to inform operational
decisions and policy changes
Policy makers and border stakeholders
are keen to learn more about the
patterns, trends, and forensic
analysis of the illegal migrant
population
The Smart Border Analytics Tool can help border stakeholders design and implement operational changes to minimize risk to the immigration system.
© 2013 Deloitte Global Services Limited
Deloitte Advanced Knowledge Discovery (AKD)
Four foundational principles of the AKD approach…
The average individual does not exist
Individuals with the same observed behavior are usually driven by
different factors
Data may not be sufficient to explain behaviors: complex
combination with exogenous data may prove extremely insightful
Factors with very low, large-scale impact can be hugely important for
very specific profiles
Advanced Knowledge Discovery (AKD) follows a six-step process
Client Data1 Dimensional Attributes2 Identify
Clusters 3 Enlarge to Optimize4 Locally
Influential5 Risk Profile Definition6
Supervised machine learning detects, explains, and quantifies zones of risk, fraud, performance, and propensity to certain behaviors
Detect and explain nascent phenomena or false positives
Collaborative and consensus-building approach involving subject-matter experts and facilitating client ownership of results
© 2013 Deloitte Global Services Limited
Q&A?
© 2013 Deloitte Global Services Limited
Deloitte’s Global Migration & Border Management Practice
Canada Border Services Agency U.S. Customs and Border Protection U.S. Immigration and Customs Enforcement U.S. Citizenship and Immigration Service
Deloitte's Global Migration and Border Management Value Proposition helps our clients to solve complex problems related to border security, immigration, customs, intelligence gathering and analysis, and policy.
Who We Are
Who We Serve
Missions We Support
Frontex U.K. Border Agency EC: Directorate-General for Home Affairs Irish Revenue Commissioners Australian Customs and Border Protection Service
Agency Consolidation and Redesign
Immigration Enforcement
Customs and Border
Management
Immigrant Human Capital
Documentation and Identify Verification
Services for Non-Citizens
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