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Future of Business
Intelligence & Analytics in Financial Services
Klaus Felsche
Director, Intent Management & Analytics
Risk, Fraud and Integrity Division
Scope
• Developing advanced analytics to manage risks
in real-time.
• Deploying emerging tools to manage growing
volumes, constrained resources, increasing
complexity and diversity in client bases.
• Encouraging and embedding innovation in
highly effective risk analytics tools.
• Privacy & Security considerations.
Our Challenge
Maintain / enhance Integrity of core
processes in the face of:
• constrained resources;
• growing volumes;
• without degrading client service
standards.
Our Response:
Build on existing strengths (eg Geographic Location & Existing Systems,
10+ years of visa and travel data)
Caseload processing based on risk.
Visa
System
BRIS Advance
Passenger
Processing
Intel
Analytics - Now
Main methodology: predictive models to
identify risk in real time in all DIAC visa,
border and citizenship processing.
• Models built on data available to DIAC
• Above-threshold risk triggers processing
response (ie automatic referral to
alternative processing channel)
Case Study
Border Risk Identification System
This problem, once solved, will be simple.
― Thomas A. Edison
Low Risk
High Risk Arrival
Departure Check-In
Check-In Data
Traveller Risk Scores
Boarding
Airline
Liaison
Officer
1 Second
Border Risk Identification System
Welcome to Australia
The Airport View
• Higher Risk Travellers are pre-identified.
• Much of the ‘noise’ has been eliminated.
• More time to spend on each case.
• More opportunity to look for
new/emerging MOs.
Before BRIS
August-December
2010
With BRIS
August-
December 2011
Monthly referrals to
DIAC
2244 1679
Monthly Refused
Immigration
Clearances
54 60
Business benefits
Data from Sydney Airport.
Referrals and refusals from pre-arrival targeting only.
Average bona fide risk - 4th Quarter 2011
0.34
0.35
0.36
0.37
0.38
0.39
0.4
0.41
39 40 41 42 43 44 45 46 47 48 49 50 51 52
Week of Year
Ris
k S
co
re
Supporting Management & Policy
Plan for
more
duty
staff …
Average Bonafides Risk
How?
Some Constraints • DIAC’s Data:
• Record of entitlements (visas, citizenship)
• Record of decision path (records why decisions were
made)
• Some is (very) sensitive
• Security:
• Critical infrastructure
• Privacy
• Privacy, Migration and Citizenship Acts
• Compliance
• Role-based data access
• Automated logging and access monitoring
• Personnel with access are security cleared
DIAC Processes • Keep analysts away from the data warehouse and
operational systems.
• Provide a secure analytics platform which gets
data feeds from the data warehouse and operational
systems.
• Provide an air-gapped experimental laboratory
platform (isolate production data from any
internet contact).
• Leverage existing security infrastructure where
possible.
• Encrypt where possible.
• Develop strategies to prevent easy deconstruction
of deployed models.
•Close to real-world environment
•Follow/mimic normal business processes
•Limit exposure (range/depth)
•Build Business case
•Confirm design
•Develop business processes
• Take lessons learnt from prototype
• Incorporates design lessons from prototype
• Low cost
• Mimic much of the operational environment
• Measure potential business impacts
• Small cost for failure
• Build business case
• Low Cost
• Minimal Consequence if failure
• Freedom to try innovative concepts
• Requires suitable infrastructure
• Administrative processes must be flexible 1. Lab 2. Test
3. Prototype/
Proof of Concept
4. Production / Deployment
New Capability Development Approach
Our Case Study: BRIS
• Concept ($0): mid 2011
• Lab ($20 000): 2 months
• Test ($50 000): 6 weeks
• Prototype ($400 000): 6 months
• Commence Production Build July 2012
• Complete Full Integration for Border: May 2013
($600 000)
• Prototype for Mobile Version: under way
• Maritime version: in Lab
Questions?
I never did a day’s work in my life. It was all fun.
― Thomas A. Edison