Analytics as a Service: Fraud Case Study for Financial ... · Analytics as a Service: Fraud Case...
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Analytics as a Service: Fraud Case Study for Financial Institutions
Stu Bradley, Senior Business Director of Security Intelligence Practice, SAS
David Mattei, Vice President, Financial Institutions Product Management, Vantiv
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Analytics as a ServiceFraud Case Study for
Financial Institutions
April 2015
© Copyright 2011 Vantiv, LLC. All rights reserved.
Vantiv, and the Vantiv logo, and all other product or service names and logos are registered trademarks or trademarks of Vantiv, LLC in the USA and other countries.
®indicates USA registration.
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Vantiv
3
Simplifying Payments Innovation for
Merchants and Financial InstitutionsOmni-Channel Commerce
eCommerce mPOS POS
eCommerce, Direct Commerce, Government, QSR, Retail,
Restaurant, Supermarket, University, Utility
Mobile
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Payment Processing Strength
40YEARS
PaymentsInnovation
4
$760Volume
Processed
B I L L I O N
20.1Transactions
B I L L I O N
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Merchants & Financial Institutions
5
1400Financial
Institutions
+500Merchants
T H O U S A N D
+ #2US Merchant
Acquirer
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The Good Ol’ Days
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Current Reality
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US Card Fraud Losses
7
5.6B6.0B
6.7B7.5B 7.7B
8.6B9.1B
Source: Aite, Payment Card Fraud Management report, Apr 2015
Losses shared across merchants and financial institutions
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FI Fraud Management Challenges
• Fraud is a business
› Cyber crime, multi-nationals, vertical specialties
• Breaches prevalent concern
› Home Depot, Anthem, others
• FI staffing spread thinner
• FI mitigation skills falling behind fraud attack skills
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Is Fraud as a Service Viable?
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Vantiv vs. FI
Performance Management
Gross fraud (bp) 40%
Cardholder experience at POS 56%
Average loss / card 24%, $76/card
Average number fraudulent
transactions / card9%, 0.25 trans/card
RT False Positive Ratio 3:1
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Vantiv’s Legacy Fraud Solution
People Process Technology
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Technology Limitations
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Technology Gap
Where we were
• FaaS not scalable
• People and Process
intensive
• Analytics not at acceptable
levels
• Multiple systems
Desired state
• Scalable solution
• Single, integrated system
• Strong, predictive analytics
• Allow People to go broad
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Market Evaluation
• RFP
• Extensive due diligence
among 2 finalists
• SAS Enterprise Fraud
Manager selected
12Source: Forrester Research, Feb 2013
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SAS Hybrid Neural Model
• Custom model for Vantiv’s portfolio of FIs
• Augmented by consortium data from other SAS
customers
• Best of both worlds
› Better than a custom-only model
› Better than a consortium-only model
• 14 months of auth and fraud data to build model
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Fraudulent Card Detection
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0%
10%
20%
30%
40%
50%
60%
70%
1:1 3:1 5:1 7:1 9:1 11:1 13:1 15:1 17:1 19:1
SAS Model
Legacy Model
Case Detection Rate
False Positive Ratio
Legacy Model SAS Model % Improvement
CDR* 42.2% 65.4% 55%
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Fraudulent Dollar Detection
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Legacy Model SAS Model % Improvement
VDR* 41.3% 75.6% 83%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
1:1 3:1 5:1 7:1 9:1 11:1 13:1 15:1 17:1 19:1
False Positive Ratio
Value Detection Rate
SAS Model
Legacy Model
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Vantiv’s Fraud Paradigm Shift
Legacy Solution Current Solution
Rules-based Analytics-based
350,000 rules < 1,500 rules
Rules detected 70% of fraud Analytics detect 70% of fraud
FaaS limited to < 200 FIs FaaS support for 1,400+ FIs
Shared fraud management between FIs and Vantiv
Fully outsourced solution offered by Vantiv
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Paradigm shift enabled by analytics
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FI Benefits
• Fraud detection speed
› 32% improvement
• Loss per card
› 28% improvement
• Overall fraud reduction
› $16MM across all
financial institutions
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1.5
2.2
-
0.5
1.0
1.5
2.0
2.5
Current Solution Legacy Solution
Fraudulent Trans/Card
$133
$184
$0
$50
$100
$150
$200
Current Solution Legacy Solution
Average Loss/Card
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SAS / Vantiv Partnership
• Strong partnership
• SAS monitors neural model performance
• Vantiv / SAS collaborate on model refreshes
• SAS has a vested interest in Vantiv’s success
• Simplified Vantiv’s ability to conduct business
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Contact
• David Mattei
• VP, Product Portfolio Manager
• Vantiv
• 513-900-4637
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