© 2013 Deloitte Global Services Limited

2nd Global ABC Conference and Exhibition

October 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 Attributes

2 Identify Clusters

3 Enlarge to Optimize

4 Locally Influential

5 Risk Profile Definition

6

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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