SlideShare ist ein Scribd-Unternehmen logo
1 von 13
Credit Card Issuer Fraud Management


                                         Report Highlights

                                         December, 2008




 Principal Analyst

 Ken Paterson

 (781)-419-1715

kpaterson@mercatoradvisorygroup.com


SAS 2008                                                                                                  1

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
TABLE OF CONTENTS


Introduction…………………………………………………………………………………..……3

I. Market Dynamics

           And Now Back To Our Issuer Fraud Story……………………………...…….……....4

           Not My Loss—But Everyone Suffers………………….…………………...…....……...5

II.        SAS Fraud Management..………………………………………………………………10

III.       Shaping The Fraud Management Marketplace……………………………………..…12
           The Enterprise Vision……………………………………………….………………….12
           Cardholders Are People Too (And They Vote With Their Feet)…………..….…….12




TABLE OF FIGURES

Figure 1: Bank Card Issuer Fraud Loss Expenses Still Remain In A 40BP Cost Range …..……..4

Figure 2: Fraud Losses Remain A Minor Direct Contributor To Card Issuer Expense ….…….…5

Figure 3: Bank Card Fraud Expenses Rise With Volume …………………………....…….………....6

Figure 4: Total Credit Card-Related Fraud Losses: Probably $16B And Counting ……………...7

Figure 5: Data Breaches: Intentional And Looking For Cards………..……...………………….......8

Figure 6: Mass Card Data Thefts Drive A Thriving Secondary Market In Card Products …...…. 9

Figure 7: SAS Fraud Management: Bridging The Silos………………………………………………10




SAS 2008                                                                                                     2

                                                                          2008, Mercator Advisory Group, Inc.

       This material may not be reproduced by any means without express written permission. All Rights Reserved
Introduction

                                                                       Report Highlights:
As we discussed in our 2006 report on the issuer fraud
                                                                           1. Credit card issuer losses remain
solution topic, technology providers are increasingly focused
                                                                           surprisingly well-contained despite
on the vision of enterprise-level fraud solutions, and more                the continuing evolution of card
broadly on enterprise financial crimes and risk management.                fraud.
Solution provider interest and capabilities are certainly                  2.     On the other hand, total fraud
growing in this regard. The enterprise vision could in theory              costs in the U.S. broadly related to

address the “balloon effect” of fraud head-on, that is,                    credit cards alone is conservatively
                                                                           estimated to exceed $16 billion
watching for the inevitable shift in criminal activity from
                                                                           annually.
one product or business line to another under pressure from
                                                                           3.     Purposeful data breaches are
improved detection.
                                                                           providing particular challenges to the
And why not stick with the siloed approach? Our overview                   industry, as criminals target easily-
                                                                           monetized payment card information.
shows that from an issuer’s viewpoint, bank credit card fraud
losses remain surprisingly well-contained at around $1                     4. The enterprise fraud management
                                                                           vision may have significant value,
billion in the U.S., thanks to the effective solutions and
                                                                           but organizational barriers remain
services on the market. Unfortunately, cardholders might
                                                                           high as issuers seek added detection
not agree. Both the headlines and market studies show that                 lift        from        multi-product
data breaches in particular are driving a thriving market in               implementations.

stolen card data. Secret Service/ Visa data actually put a
market price on different combinations of stolen data. And then there is the vast array of other
card-related and other account-based frauds. We take a SWAG that the direct costs of fraud
attributable in some way to US credit cards could easily exceed $16 billion, without even taking
in to account the financial institution’s solution, staffing, and management costs.

No wonder major issuers are now advertising the fraud-fighting capabilities of their card services
to potential cardholders—it is a high visibility issue, and banks have invested a lot. But it is a
dynamic battle that extends well beyond the credit card product, and is nothing short of a battle to
retain the consumer’s trust.



SAS 2008                                                                                                     3

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
I.         Market Dynamics
And Now Back To Our Issuer Fraud Story…

When we last looked at card fraud losses, it was a relatively minor expense line for issuers. And
the good news is that it still is. At about 1.2% of issuer expenses, and constrained to a narrow
expense range over this decade, bank card fraud losses can be seen as a relative success story. In
fact, after peaking over 18 basis points of volume in the early ‘90s, general purpose credit card
losses have been at 7 basis points or lower during the present decade. Of course, a lot of work
has gone in to engineering this stable performance, but more on that later.




Figure 1: Bank Card Issuer Fraud Loss Expenses Still Remain In A 40BP Cost Range

Comparatively, fraud losses dwarf in comparison with the big three cost categories of operations,
cost of funds, and charge-offs (see Figure 2). But to anticipate our discussion of hidden costs,

SAS 2008                                                                                                   4

                                                                        2008, Mercator Advisory Group, Inc.

     This material may not be reproduced by any means without express written permission. All Rights Reserved
there are certainly hidden fraud costs in these numbers. Most notably in the $34.8B Operations
and Marketing line item, there is surely a minimum of $2 billion in fraud solutions expense, IT,
staffing, outsourcing, and outside data/investigation expenses embedded in this total. Plus, there
is a literally unknowable component of Charge-offs that are misclassified fraud losses.




Figure 2: Fraud Losses Remain A Minor Direct Contributor To Card Issuer Expense

Plus, as an industry, total fraud losses escalate with growing payment volume. As Figure 3
illustrates, bank card fraud losses are up 55% since 2000, essentially parallel with card volume
growth. But considering the escalating fraud challenges in the marketplace, these results have to
be considered a glass half-full from the issuer viewpoint.




SAS 2008                                                                                                  5

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
Figure 3: Bank Card Fraud Expenses Rise With Volume



Not My Loss—But Everyone Suffers

Taking the credit card issuer’s viewpoint for losses understates the magnitude of the problem, and
understates the risk to all the stakeholders associated with credit cards. The stakeholders tend to
see different parts of the fraud elephant, some experiencing actual losses, while others experience
virtual losses such as lost consumer spend.          Figure 4 makes a stab at some of the major
categories. Issuer losses (in this case all general purpose credit cards) come in close to the
familiar $1B number and represent primarily card-present fraud, with online merchants absorbing
perhaps twice that amount in card-not-present losses attributable to credit cards. Lost card usage-
-attributable to declined legitimate transactions, consumer substitution of other alternative
payment types perceived to be safer, lost volume due to card cancellation and reissue—is an

SAS 2008                                                                                                  6

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
opportunity cost certainly borne by credit card issuers and perhaps by some merchants. And lost
usage is linked to potentially tarnished consumer perceptions of credit cards and/or their issuers.
Consumer frauds peripheral to credit cards such as unneeded credit card insurance, advance-fee
loan scams, and illegal credit repair could contribute to over $7B in direct expenses to consumers,
not to speak of indirect costs, mental anguish, and potentially more damage to the reputation of
credit cards.




Figure 4: Total Credit Card-Related Fraud Losses: Probably $16B And Counting

In total, the unknown and unknowable costs (the “dark numbers” of fraud) are surely the largest,
even after aggregating these estimated $16 billion in costs. In all likelihood, costs related to data
breaches are significant in their own right, both in terms of remedial and legal expenses to the
breached company, and in terms of the damaged reputations of these firms.



SAS 2008                                                                                                  7

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
In fact, a recent Verizon study of over 500 data breaches reported between 2004 and 2007 is
staggering in its implications. Of first concern is the deliberate and technologically sophisticated
nature of the most frequent attacks. While some breaches are in fact opportunistic (abetted by
lost or stolen laptops, thumb drives, paper copies, etc.), hacking and malicious code are the most
frequent contributing causes. Second, the most frequent target of these attacks is in fact payment
card data, often the most immediately monetized type of stolen data targets. While there is value
to be had by criminals in broader identity information types such as those shown in Figure 5, card
information has immediate market value and usability.




Figure 5: Data Breaches: Intentional And Looking For Cards

And speaking of the ability to monetize stolen card data, Visa and the Secret Service have
recently published estimates of the market value of stolen card data. Value increases with the
availability of track and PIN data, reaching its peak with a fully functioning counterfeit plastic.

SAS 2008                                                                                                  8

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
The value of card data is apparent, and the motivation to pursue intentional breaches is certainly
powerful.




Figure 6: Mass Card Data Thefts Drive A Thriving Secondary Market In Card Products

Beyond these grim pictures is the reality that similar frauds affect debit cards and other payment
products, as well as bank deposit and loan products. As the mere inconvenience of a stolen card
number morphs into the more threatening label (and sometimes reality) of identity theft in the
public’s mind, no part of the FI is immune from financial or reputation risk.




SAS 2008                                                                                                  9

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
II.        SAS Fraud Management
SAS, the well known business intelligence software provider with some 3,000 FI clients, made
headlines in the fraud management world with its announced signing of HSBC in 2005 with
delivery in 2007 for its SAS Fraud Management solution. Driven in part by its acquisition of
Household International and its corresponding large card presence in the U.S., HSBC was seeking
enterprise fraud detection capability that could be deployed globally, and within secured
administration tiers. And, the goal was to detect fraud early, within 1-2 hits. HSBC represents a
key client to illustrate SAS’ enterprise focus and strengths, leveraging their Universal SAS
Connector technology to access and link multiple account systems, making real the potential to
detect fraud based on data across multiple product types.




Figure 7: SAS Fraud Management: Bridging The Silos


SAS 2008                                                                                                   10

                                                                         2008, Mercator Advisory Group, Inc.

      This material may not be reproduced by any means without express written permission. All Rights Reserved
In terms of real-time fraud scoring, the solution uses a combination of neural net and rules-based
technologies, incorporating both consortium and issuer-customized models.                 Efficiency and
scalability of the scoring solution are positioned as key sales points, with the claim that 100% of
transactions can be scored during in-stream process, or “real time,” and typically with less
commitment of system resources. HSBC has published that they have seen a 12% decrease in
mainframe processing overhead, while at the same time increasing their processing volumes by
87%. HSBC is said to be running several hundred rules in its implementation to complement the
analytic models. Volumes of several hundred transactions/second are common. The ability to
deploy and manage multiple fraud models across products and markets is featured, as well as the
ability to conduct champion/challenger tests against competing models.

In addition to a case management module designed for managing suspicious accounts and triage-
based alerts across multiple business lines, SAS has a unique Network Investigation & Analysis
tool to support the users’ ability to reveal and analyze network connections among all a
cardholder’s accounts and relationships. The main benefit is to help analysts visualize cardholder
connections via network maps across product lines, although it can also generate customer risk
scores—particularly useful in assessing account applications in real time. SAS notes particular
success for this capability in identifying “bust-out” fraud and fraud mis-classified as credit
losses—a real window into some of the “dark numbers” of credit card fraud we discussed in
Section I.




SAS 2008                                                                                                 11

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved
III.       Shaping The Fraud Management Marketplace
One of the problems in writing a report on the topic of fraud solutions is that we are not
interviewing criminals regarding their development plans. So our viewpoint is by definition one-
sided and reactive. But from our side of the fence, here are issues that will shape the credit card
fraud management space:

•      The enterprise vision

As mentioned earlier, the vision of enterprise fraud and/or financial crimes management is logical
and appealing. It may in fact be more powerful in its fraud reduction capabilities within credit
cards when additional product relationships are considered. We are definitely in the early days of
enterprise fraud detection, where for some banks, “enterprise” may mean just the credit and debit
product lines. Given the product similarities and their common processors, this should not be
surprising. Data on the incremental detection lift of enterprise implementations—even if only for
two product lines versus one—will be key motivators for firms considering this approach. But
the potential value extends beyond fraud detection; the benefits to cardholders and retaining their
business could be material.

•      Cardholders are people too (and they vote with their feet)

As we commented earlier, it is all too easy to get caught up in the realities of risk management
and keeping the losses of all stakeholders in check, and to ignore the viewpoint of the cardholder.
The ultimate risk is: if cardholders are too concerned about fraud, or too confused about how it
might impact them personally, they will switch cards, go back to cash, alternative payment
systems when they are available, or switch entire retail banking relationships. As with all
financial businesses, customer trust is at the heart of the business, and mixed, confusing, or
threatening messages with regard to fraud could certainly affect that trust. The following issues
will strongly affect consumer actions:

           Fraud management as a marketing tool: Issuers are already marketing their fraud
           management capabilities, including recent TV advertising from major issuers. It will be
           interesting to see if issuers begin to tout specific fraud detection capabilities, policies, or
           service guarantees. There is a fine line to tread between scary and reassuring, and
           consumer testing of features and advertising will be a critical developmental stage.
SAS 2008                                                                                                    12

                                                                          2008, Mercator Advisory Group, Inc.

       This material may not be reproduced by any means without express written permission. All Rights Reserved
But for many consumers, the bottom line will be their experience when they call in to
           report an unauthorized charge or other suspicious activity. Just like auto insurers who get
           a bad reputation when they fumble claims servicing, issuers risk losing both a fraudulent
           transaction and a customer if the cardholder experience is not top-notch. The distance
           from top-of-wallet to back-of-wallet is not very far. And negative effects may jump from
           the wallet to the bank account as well, if consumers are angered both by the occurrence
           of fraud as well as how it is handled by their bank.

           An issuer able to establish brand equity in consumer fraud protection could have a real
           advantage—reinforced every time a consumer reads a new report on identity theft or
           mass data breaches.

           The double-edged sword of alerts: we commented earlier that with the escalating alert
           capabilities of issuers, alerts could easily move from a valued featured to a liability if
           consumers are overwhelmed. Cardholder control can provide part of the solution, with
           the user empowered to throttle the volume of information that is appropriate to his or her
           level of tolerance. But with multiple credit and debit cards in the wallet, each with
           varying control capabilities and alert policies, alert volume to any one consumer could
           become significant.     The danger is that this new capability ultimately encourages
           consumers to turn off alerts, ignore alerts, or induces an unnecessarily high level of
           cardholder paranoia to the detriment of card usage.

           Ultimately, industry consensus must emerge around the right types of alerts to push out,
           and standard consumer interfaces to control them.          And of course, if the detection
           technologies are highlighting real fraudulent transactions (not false positives), issuers will
           be simultaneously minimizing consumer awareness of their false positives.                In the
           immediate future, issuers will have the added complexity of managing both their fraud
           detection parameters and their communication parameters for cardholders. And driving
           alerts to consumers also means the potential for higher call center volumes and the need
           to carefully manage the handling of these calls.




SAS 2008                                                                                                 13

                                                                       2008, Mercator Advisory Group, Inc.

    This material may not be reproduced by any means without express written permission. All Rights Reserved

Weitere ähnliche Inhalte

Was ist angesagt?

Dorado Industries TrendWatch Q4 2020
Dorado Industries TrendWatch Q4 2020Dorado Industries TrendWatch Q4 2020
Dorado Industries TrendWatch Q4 2020Dorado Industries
 
Study: Identifying Fraud and Credit Risk in the Smallest of Small Businesses
Study: Identifying Fraud and Credit Risk in the Smallest of Small BusinessesStudy: Identifying Fraud and Credit Risk in the Smallest of Small Businesses
Study: Identifying Fraud and Credit Risk in the Smallest of Small Businessesclaytonroot
 
June 2017 - The Alternative Lending Report
June 2017 - The Alternative Lending ReportJune 2017 - The Alternative Lending Report
June 2017 - The Alternative Lending Reportclaytonroot
 
Transaction_Scoring - WVK MasterCard
Transaction_Scoring - WVK MasterCardTransaction_Scoring - WVK MasterCard
Transaction_Scoring - WVK MasterCardWestley Koenen
 
Navigating Your Data
Navigating Your DataNavigating Your Data
Navigating Your Datakatintl
 
FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...
FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...
FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...FT Partners / Financial Technology Partners
 
Commercial Bank PowerPoint Presentations Slides
Commercial Bank PowerPoint Presentations Slides Commercial Bank PowerPoint Presentations Slides
Commercial Bank PowerPoint Presentations Slides SlideTeam
 
Commercial Bank Powerpoint Presentation Slides
Commercial Bank Powerpoint Presentation SlidesCommercial Bank Powerpoint Presentation Slides
Commercial Bank Powerpoint Presentation SlidesSlideTeam
 
Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...
Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...
Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...Cognizant
 

Was ist angesagt? (11)

Dorado Industries TrendWatch Q4 2020
Dorado Industries TrendWatch Q4 2020Dorado Industries TrendWatch Q4 2020
Dorado Industries TrendWatch Q4 2020
 
Study: Identifying Fraud and Credit Risk in the Smallest of Small Businesses
Study: Identifying Fraud and Credit Risk in the Smallest of Small BusinessesStudy: Identifying Fraud and Credit Risk in the Smallest of Small Businesses
Study: Identifying Fraud and Credit Risk in the Smallest of Small Businesses
 
June 2017 - The Alternative Lending Report
June 2017 - The Alternative Lending ReportJune 2017 - The Alternative Lending Report
June 2017 - The Alternative Lending Report
 
Transaction_Scoring - WVK MasterCard
Transaction_Scoring - WVK MasterCardTransaction_Scoring - WVK MasterCard
Transaction_Scoring - WVK MasterCard
 
Navigating Your Data
Navigating Your DataNavigating Your Data
Navigating Your Data
 
FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...
FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...
FT Partners Research: Transaction Security - At the Nexus of E-Commerce, Paym...
 
5 Forces Analysis
5 Forces Analysis5 Forces Analysis
5 Forces Analysis
 
09Feb2012ISOAgent[1]
09Feb2012ISOAgent[1]09Feb2012ISOAgent[1]
09Feb2012ISOAgent[1]
 
Commercial Bank PowerPoint Presentations Slides
Commercial Bank PowerPoint Presentations Slides Commercial Bank PowerPoint Presentations Slides
Commercial Bank PowerPoint Presentations Slides
 
Commercial Bank Powerpoint Presentation Slides
Commercial Bank Powerpoint Presentation SlidesCommercial Bank Powerpoint Presentation Slides
Commercial Bank Powerpoint Presentation Slides
 
Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...
Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...
Retail Distribution Review: Preparing Insurance IT for Compliance and Strateg...
 

Ähnlich wie Mercator Advisory Group Credit Card Issuer Fraud Management (Excerpt) December 2008

Credit Card Issuer Fraud Management (Excerpt)
Credit Card Issuer Fraud Management (Excerpt)Credit Card Issuer Fraud Management (Excerpt)
Credit Card Issuer Fraud Management (Excerpt)Cezar Cursaru
 
Enterprise Fraud Management
Enterprise Fraud ManagementEnterprise Fraud Management
Enterprise Fraud ManagementManish Desai
 
Visa report 02.04.16
Visa report 02.04.16Visa report 02.04.16
Visa report 02.04.16Andrea Casati
 
IRJET- Credit Card Fraud Detection using Hybrid Models
IRJET- Credit Card Fraud Detection using Hybrid ModelsIRJET- Credit Card Fraud Detection using Hybrid Models
IRJET- Credit Card Fraud Detection using Hybrid ModelsIRJET Journal
 
Using Advanced Analytics to Combat P&C Claims Fraud
Using Advanced Analytics to Combat P&C Claims FraudUsing Advanced Analytics to Combat P&C Claims Fraud
Using Advanced Analytics to Combat P&C Claims FraudCognizant
 
IRJET- Credit Card Fraud Detection using Random Forest
IRJET-  	  Credit Card Fraud Detection using Random ForestIRJET-  	  Credit Card Fraud Detection using Random Forest
IRJET- Credit Card Fraud Detection using Random ForestIRJET Journal
 
Sas wp enterrprise fraud management
Sas wp enterrprise fraud managementSas wp enterrprise fraud management
Sas wp enterrprise fraud managementrkappear
 
Disruption in Wealth Management
Disruption in Wealth ManagementDisruption in Wealth Management
Disruption in Wealth ManagementGreg Simmons
 
Analytics in P&C Insurance
Analytics in P&C InsuranceAnalytics in P&C Insurance
Analytics in P&C InsuranceGregg Barrett
 
NEC Public Safety | Facing the Odds in Gaming Industry
NEC Public Safety | Facing the Odds in Gaming IndustryNEC Public Safety | Facing the Odds in Gaming Industry
NEC Public Safety | Facing the Odds in Gaming IndustryNEC Public Safety
 
Credit Card Fraud Detection System Using Machine Learning Algorithm
Credit Card Fraud Detection System Using Machine Learning AlgorithmCredit Card Fraud Detection System Using Machine Learning Algorithm
Credit Card Fraud Detection System Using Machine Learning AlgorithmIRJET Journal
 
Next Edge Capital Specialty Finance Report
Next Edge Capital Specialty Finance ReportNext Edge Capital Specialty Finance Report
Next Edge Capital Specialty Finance Reportleesont
 
Berkshire Hathaway
Berkshire HathawayBerkshire Hathaway
Berkshire HathawayAimee Brown
 
Global Debit Cards Industry
Global Debit Cards IndustryGlobal Debit Cards Industry
Global Debit Cards IndustryReportLinker.com
 
Top Fraud Events & Scandals in The Payment Industry
Top Fraud Events & Scandals in The Payment IndustryTop Fraud Events & Scandals in The Payment Industry
Top Fraud Events & Scandals in The Payment Industryitio Innovex Pvt Ltv
 
Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...
Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...
Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...Mercer Capital
 

Ähnlich wie Mercator Advisory Group Credit Card Issuer Fraud Management (Excerpt) December 2008 (20)

Credit Card Issuer Fraud Management (Excerpt)
Credit Card Issuer Fraud Management (Excerpt)Credit Card Issuer Fraud Management (Excerpt)
Credit Card Issuer Fraud Management (Excerpt)
 
Enterprise Fraud Management
Enterprise Fraud ManagementEnterprise Fraud Management
Enterprise Fraud Management
 
Visa report 02.04.16
Visa report 02.04.16Visa report 02.04.16
Visa report 02.04.16
 
IRJET- Credit Card Fraud Detection using Hybrid Models
IRJET- Credit Card Fraud Detection using Hybrid ModelsIRJET- Credit Card Fraud Detection using Hybrid Models
IRJET- Credit Card Fraud Detection using Hybrid Models
 
Using Advanced Analytics to Combat P&C Claims Fraud
Using Advanced Analytics to Combat P&C Claims FraudUsing Advanced Analytics to Combat P&C Claims Fraud
Using Advanced Analytics to Combat P&C Claims Fraud
 
IRJET- Credit Card Fraud Detection using Random Forest
IRJET-  	  Credit Card Fraud Detection using Random ForestIRJET-  	  Credit Card Fraud Detection using Random Forest
IRJET- Credit Card Fraud Detection using Random Forest
 
Card Payment Fraud
Card Payment FraudCard Payment Fraud
Card Payment Fraud
 
Sas wp enterrprise fraud management
Sas wp enterrprise fraud managementSas wp enterrprise fraud management
Sas wp enterrprise fraud management
 
Disruption in Wealth Management
Disruption in Wealth ManagementDisruption in Wealth Management
Disruption in Wealth Management
 
Analytics in P&C Insurance
Analytics in P&C InsuranceAnalytics in P&C Insurance
Analytics in P&C Insurance
 
NEC Public Safety | Facing the Odds in Gaming Industry
NEC Public Safety | Facing the Odds in Gaming IndustryNEC Public Safety | Facing the Odds in Gaming Industry
NEC Public Safety | Facing the Odds in Gaming Industry
 
Credit Card Fraud Detection System Using Machine Learning Algorithm
Credit Card Fraud Detection System Using Machine Learning AlgorithmCredit Card Fraud Detection System Using Machine Learning Algorithm
Credit Card Fraud Detection System Using Machine Learning Algorithm
 
Next Edge Capital Specialty Finance Report
Next Edge Capital Specialty Finance ReportNext Edge Capital Specialty Finance Report
Next Edge Capital Specialty Finance Report
 
Credit Card Business Plan
Credit Card Business PlanCredit Card Business Plan
Credit Card Business Plan
 
Berkshire Hathaway
Berkshire HathawayBerkshire Hathaway
Berkshire Hathaway
 
New Age In Card Marketing
New Age In Card MarketingNew Age In Card Marketing
New Age In Card Marketing
 
Global Debit Cards Industry
Global Debit Cards IndustryGlobal Debit Cards Industry
Global Debit Cards Industry
 
Top Fraud Events & Scandals in The Payment Industry
Top Fraud Events & Scandals in The Payment IndustryTop Fraud Events & Scandals in The Payment Industry
Top Fraud Events & Scandals in The Payment Industry
 
Credito whitepaper
Credito whitepaperCredito whitepaper
Credito whitepaper
 
Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...
Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...
Mercer Capital's Bank Watch | October 2022 | How Are Tech-Forward Banks Perfo...
 

Mehr von Cezar Cursaru

Idc Worldwide Business Intelligence Tools 2008 Vendor Shares
Idc Worldwide Business Intelligence Tools 2008 Vendor SharesIdc Worldwide Business Intelligence Tools 2008 Vendor Shares
Idc Worldwide Business Intelligence Tools 2008 Vendor SharesCezar Cursaru
 
Yphise Software Product Assessment, Strategy Management
Yphise Software Product Assessment, Strategy ManagementYphise Software Product Assessment, Strategy Management
Yphise Software Product Assessment, Strategy ManagementCezar Cursaru
 
Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...
Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...
Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...Cezar Cursaru
 
SAS Company Presentation
SAS Company PresentationSAS Company Presentation
SAS Company PresentationCezar Cursaru
 
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...Cezar Cursaru
 
The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008
The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008
The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008Cezar Cursaru
 
IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...
IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...
IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...Cezar Cursaru
 
Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...
Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...
Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...Cezar Cursaru
 
IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...
IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...
IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...Cezar Cursaru
 
Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...
Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...
Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...Cezar Cursaru
 
Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...
Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...
Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...Cezar Cursaru
 
Yphise Software Product Assessment, Strategy Management, December 2008
Yphise Software Product Assessment, Strategy Management, December 2008Yphise Software Product Assessment, Strategy Management, December 2008
Yphise Software Product Assessment, Strategy Management, December 2008Cezar Cursaru
 
SAS ranks first in two categories of Chartis RiskTech 100 report
SAS ranks first in two categories of Chartis RiskTech 100 reportSAS ranks first in two categories of Chartis RiskTech 100 report
SAS ranks first in two categories of Chartis RiskTech 100 reportCezar Cursaru
 

Mehr von Cezar Cursaru (13)

Idc Worldwide Business Intelligence Tools 2008 Vendor Shares
Idc Worldwide Business Intelligence Tools 2008 Vendor SharesIdc Worldwide Business Intelligence Tools 2008 Vendor Shares
Idc Worldwide Business Intelligence Tools 2008 Vendor Shares
 
Yphise Software Product Assessment, Strategy Management
Yphise Software Product Assessment, Strategy ManagementYphise Software Product Assessment, Strategy Management
Yphise Software Product Assessment, Strategy Management
 
Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...
Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...
Business Performance Solutions Clash Of The Titans The Market Remains Vibrant...
 
SAS Company Presentation
SAS Company PresentationSAS Company Presentation
SAS Company Presentation
 
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...
Datamonitor Decision Matrix Selecting A Business Intelligence Vendor (Competi...
 
The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008
The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008
The Forrester Wave Enterprise Business Intelligence Platforms, Q3 2008
 
IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...
IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...
IDC Worldwide Business Intelligence Tools 2007 Vendor Shares Query, Reporting...
 
Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...
Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...
Gartner Positions Data Flux In The Leaders Quadrant Of The Magic Quadrant For...
 
IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...
IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...
IDC Worldwide Data Warehouse Platform Software 2007 Vendor Shares (Excerpt Fr...
 
Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...
Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...
Gartner Positions SAS In The Leaders Quadrant Of The Magic Quadrant For Custo...
 
Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...
Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...
Butler Group Technology Audit Sas For Customer Experience Analytics, Septembe...
 
Yphise Software Product Assessment, Strategy Management, December 2008
Yphise Software Product Assessment, Strategy Management, December 2008Yphise Software Product Assessment, Strategy Management, December 2008
Yphise Software Product Assessment, Strategy Management, December 2008
 
SAS ranks first in two categories of Chartis RiskTech 100 report
SAS ranks first in two categories of Chartis RiskTech 100 reportSAS ranks first in two categories of Chartis RiskTech 100 report
SAS ranks first in two categories of Chartis RiskTech 100 report
 

Kürzlich hochgeladen

VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130
VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130
VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130Suhani Kapoor
 
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...Call Girls in Nagpur High Profile
 
(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779Delhi Call girls
 
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptxOAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptxhiddenlevers
 
CALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual serviceanilsa9823
 
Quarter 4- Module 3 Principles of Marketing
Quarter 4- Module 3 Principles of MarketingQuarter 4- Module 3 Principles of Marketing
Quarter 4- Module 3 Principles of MarketingMaristelaRamos12
 
High Class Call Girls Nashik Maya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Maya 7001305949 Independent Escort Service NashikHigh Class Call Girls Nashik Maya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Maya 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )Pooja Nehwal
 
02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx
02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx
02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptxFinTech Belgium
 
Instant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School DesignsInstant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School Designsegoetzinger
 
Log your LOA pain with Pension Lab's brilliant campaign
Log your LOA pain with Pension Lab's brilliant campaignLog your LOA pain with Pension Lab's brilliant campaign
Log your LOA pain with Pension Lab's brilliant campaignHenry Tapper
 
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...Suhani Kapoor
 
The Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdfThe Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdfGale Pooley
 
TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...
TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...
TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...ssifa0344
 
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptxFinTech Belgium
 
Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...
Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...
Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...Pooja Nehwal
 
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130  Available With RoomVIP Kolkata Call Girl Serampore 👉 8250192130  Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Roomdivyansh0kumar0
 

Kürzlich hochgeladen (20)

VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130
VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130
VIP Call Girls Service Dilsukhnagar Hyderabad Call +91-8250192130
 
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
VVIP Pune Call Girls Katraj (7001035870) Pune Escorts Nearby with Complete Sa...
 
(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANIKA) Budhwar Peth Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
Best VIP Call Girls Noida Sector 18 Call Me: 8448380779
 
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptxOAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
 
Veritas Interim Report 1 January–31 March 2024
Veritas Interim Report 1 January–31 March 2024Veritas Interim Report 1 January–31 March 2024
Veritas Interim Report 1 January–31 March 2024
 
CALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual serviceCALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual service
CALL ON ➥8923113531 🔝Call Girls Gomti Nagar Lucknow best sexual service
 
Quarter 4- Module 3 Principles of Marketing
Quarter 4- Module 3 Principles of MarketingQuarter 4- Module 3 Principles of Marketing
Quarter 4- Module 3 Principles of Marketing
 
High Class Call Girls Nashik Maya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Maya 7001305949 Independent Escort Service NashikHigh Class Call Girls Nashik Maya 7001305949 Independent Escort Service Nashik
High Class Call Girls Nashik Maya 7001305949 Independent Escort Service Nashik
 
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
Vip Call US 📞 7738631006 ✅Call Girls In Sakinaka ( Mumbai )
 
02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx
02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx
02_Fabio Colombo_Accenture_MeetupDora&Cybersecurity.pptx
 
Commercial Bank Economic Capsule - April 2024
Commercial Bank Economic Capsule - April 2024Commercial Bank Economic Capsule - April 2024
Commercial Bank Economic Capsule - April 2024
 
Instant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School DesignsInstant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School Designs
 
Log your LOA pain with Pension Lab's brilliant campaign
Log your LOA pain with Pension Lab's brilliant campaignLog your LOA pain with Pension Lab's brilliant campaign
Log your LOA pain with Pension Lab's brilliant campaign
 
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
 
The Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdfThe Economic History of the U.S. Lecture 20.pdf
The Economic History of the U.S. Lecture 20.pdf
 
TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...
TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...
TEST BANK For Corporate Finance, 13th Edition By Stephen Ross, Randolph Weste...
 
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
05_Annelore Lenoir_Docbyte_MeetupDora&Cybersecurity.pptx
 
Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...
Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...
Dharavi Russian callg Girls, { 09892124323 } || Call Girl In Mumbai ...
 
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130  Available With RoomVIP Kolkata Call Girl Serampore 👉 8250192130  Available With Room
VIP Kolkata Call Girl Serampore 👉 8250192130 Available With Room
 

Mercator Advisory Group Credit Card Issuer Fraud Management (Excerpt) December 2008

  • 1. Credit Card Issuer Fraud Management Report Highlights December, 2008 Principal Analyst Ken Paterson (781)-419-1715 kpaterson@mercatoradvisorygroup.com SAS 2008 1 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 2. TABLE OF CONTENTS Introduction…………………………………………………………………………………..……3 I. Market Dynamics And Now Back To Our Issuer Fraud Story……………………………...…….……....4 Not My Loss—But Everyone Suffers………………….…………………...…....……...5 II. SAS Fraud Management..………………………………………………………………10 III. Shaping The Fraud Management Marketplace……………………………………..…12 The Enterprise Vision……………………………………………….………………….12 Cardholders Are People Too (And They Vote With Their Feet)…………..….…….12 TABLE OF FIGURES Figure 1: Bank Card Issuer Fraud Loss Expenses Still Remain In A 40BP Cost Range …..……..4 Figure 2: Fraud Losses Remain A Minor Direct Contributor To Card Issuer Expense ….…….…5 Figure 3: Bank Card Fraud Expenses Rise With Volume …………………………....…….………....6 Figure 4: Total Credit Card-Related Fraud Losses: Probably $16B And Counting ……………...7 Figure 5: Data Breaches: Intentional And Looking For Cards………..……...………………….......8 Figure 6: Mass Card Data Thefts Drive A Thriving Secondary Market In Card Products …...…. 9 Figure 7: SAS Fraud Management: Bridging The Silos………………………………………………10 SAS 2008 2 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 3. Introduction Report Highlights: As we discussed in our 2006 report on the issuer fraud 1. Credit card issuer losses remain solution topic, technology providers are increasingly focused surprisingly well-contained despite on the vision of enterprise-level fraud solutions, and more the continuing evolution of card broadly on enterprise financial crimes and risk management. fraud. Solution provider interest and capabilities are certainly 2. On the other hand, total fraud growing in this regard. The enterprise vision could in theory costs in the U.S. broadly related to address the “balloon effect” of fraud head-on, that is, credit cards alone is conservatively estimated to exceed $16 billion watching for the inevitable shift in criminal activity from annually. one product or business line to another under pressure from 3. Purposeful data breaches are improved detection. providing particular challenges to the And why not stick with the siloed approach? Our overview industry, as criminals target easily- monetized payment card information. shows that from an issuer’s viewpoint, bank credit card fraud losses remain surprisingly well-contained at around $1 4. The enterprise fraud management vision may have significant value, billion in the U.S., thanks to the effective solutions and but organizational barriers remain services on the market. Unfortunately, cardholders might high as issuers seek added detection not agree. Both the headlines and market studies show that lift from multi-product data breaches in particular are driving a thriving market in implementations. stolen card data. Secret Service/ Visa data actually put a market price on different combinations of stolen data. And then there is the vast array of other card-related and other account-based frauds. We take a SWAG that the direct costs of fraud attributable in some way to US credit cards could easily exceed $16 billion, without even taking in to account the financial institution’s solution, staffing, and management costs. No wonder major issuers are now advertising the fraud-fighting capabilities of their card services to potential cardholders—it is a high visibility issue, and banks have invested a lot. But it is a dynamic battle that extends well beyond the credit card product, and is nothing short of a battle to retain the consumer’s trust. SAS 2008 3 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 4. I. Market Dynamics And Now Back To Our Issuer Fraud Story… When we last looked at card fraud losses, it was a relatively minor expense line for issuers. And the good news is that it still is. At about 1.2% of issuer expenses, and constrained to a narrow expense range over this decade, bank card fraud losses can be seen as a relative success story. In fact, after peaking over 18 basis points of volume in the early ‘90s, general purpose credit card losses have been at 7 basis points or lower during the present decade. Of course, a lot of work has gone in to engineering this stable performance, but more on that later. Figure 1: Bank Card Issuer Fraud Loss Expenses Still Remain In A 40BP Cost Range Comparatively, fraud losses dwarf in comparison with the big three cost categories of operations, cost of funds, and charge-offs (see Figure 2). But to anticipate our discussion of hidden costs, SAS 2008 4 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 5. there are certainly hidden fraud costs in these numbers. Most notably in the $34.8B Operations and Marketing line item, there is surely a minimum of $2 billion in fraud solutions expense, IT, staffing, outsourcing, and outside data/investigation expenses embedded in this total. Plus, there is a literally unknowable component of Charge-offs that are misclassified fraud losses. Figure 2: Fraud Losses Remain A Minor Direct Contributor To Card Issuer Expense Plus, as an industry, total fraud losses escalate with growing payment volume. As Figure 3 illustrates, bank card fraud losses are up 55% since 2000, essentially parallel with card volume growth. But considering the escalating fraud challenges in the marketplace, these results have to be considered a glass half-full from the issuer viewpoint. SAS 2008 5 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 6. Figure 3: Bank Card Fraud Expenses Rise With Volume Not My Loss—But Everyone Suffers Taking the credit card issuer’s viewpoint for losses understates the magnitude of the problem, and understates the risk to all the stakeholders associated with credit cards. The stakeholders tend to see different parts of the fraud elephant, some experiencing actual losses, while others experience virtual losses such as lost consumer spend. Figure 4 makes a stab at some of the major categories. Issuer losses (in this case all general purpose credit cards) come in close to the familiar $1B number and represent primarily card-present fraud, with online merchants absorbing perhaps twice that amount in card-not-present losses attributable to credit cards. Lost card usage- -attributable to declined legitimate transactions, consumer substitution of other alternative payment types perceived to be safer, lost volume due to card cancellation and reissue—is an SAS 2008 6 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 7. opportunity cost certainly borne by credit card issuers and perhaps by some merchants. And lost usage is linked to potentially tarnished consumer perceptions of credit cards and/or their issuers. Consumer frauds peripheral to credit cards such as unneeded credit card insurance, advance-fee loan scams, and illegal credit repair could contribute to over $7B in direct expenses to consumers, not to speak of indirect costs, mental anguish, and potentially more damage to the reputation of credit cards. Figure 4: Total Credit Card-Related Fraud Losses: Probably $16B And Counting In total, the unknown and unknowable costs (the “dark numbers” of fraud) are surely the largest, even after aggregating these estimated $16 billion in costs. In all likelihood, costs related to data breaches are significant in their own right, both in terms of remedial and legal expenses to the breached company, and in terms of the damaged reputations of these firms. SAS 2008 7 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 8. In fact, a recent Verizon study of over 500 data breaches reported between 2004 and 2007 is staggering in its implications. Of first concern is the deliberate and technologically sophisticated nature of the most frequent attacks. While some breaches are in fact opportunistic (abetted by lost or stolen laptops, thumb drives, paper copies, etc.), hacking and malicious code are the most frequent contributing causes. Second, the most frequent target of these attacks is in fact payment card data, often the most immediately monetized type of stolen data targets. While there is value to be had by criminals in broader identity information types such as those shown in Figure 5, card information has immediate market value and usability. Figure 5: Data Breaches: Intentional And Looking For Cards And speaking of the ability to monetize stolen card data, Visa and the Secret Service have recently published estimates of the market value of stolen card data. Value increases with the availability of track and PIN data, reaching its peak with a fully functioning counterfeit plastic. SAS 2008 8 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 9. The value of card data is apparent, and the motivation to pursue intentional breaches is certainly powerful. Figure 6: Mass Card Data Thefts Drive A Thriving Secondary Market In Card Products Beyond these grim pictures is the reality that similar frauds affect debit cards and other payment products, as well as bank deposit and loan products. As the mere inconvenience of a stolen card number morphs into the more threatening label (and sometimes reality) of identity theft in the public’s mind, no part of the FI is immune from financial or reputation risk. SAS 2008 9 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 10. II. SAS Fraud Management SAS, the well known business intelligence software provider with some 3,000 FI clients, made headlines in the fraud management world with its announced signing of HSBC in 2005 with delivery in 2007 for its SAS Fraud Management solution. Driven in part by its acquisition of Household International and its corresponding large card presence in the U.S., HSBC was seeking enterprise fraud detection capability that could be deployed globally, and within secured administration tiers. And, the goal was to detect fraud early, within 1-2 hits. HSBC represents a key client to illustrate SAS’ enterprise focus and strengths, leveraging their Universal SAS Connector technology to access and link multiple account systems, making real the potential to detect fraud based on data across multiple product types. Figure 7: SAS Fraud Management: Bridging The Silos SAS 2008 10 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 11. In terms of real-time fraud scoring, the solution uses a combination of neural net and rules-based technologies, incorporating both consortium and issuer-customized models. Efficiency and scalability of the scoring solution are positioned as key sales points, with the claim that 100% of transactions can be scored during in-stream process, or “real time,” and typically with less commitment of system resources. HSBC has published that they have seen a 12% decrease in mainframe processing overhead, while at the same time increasing their processing volumes by 87%. HSBC is said to be running several hundred rules in its implementation to complement the analytic models. Volumes of several hundred transactions/second are common. The ability to deploy and manage multiple fraud models across products and markets is featured, as well as the ability to conduct champion/challenger tests against competing models. In addition to a case management module designed for managing suspicious accounts and triage- based alerts across multiple business lines, SAS has a unique Network Investigation & Analysis tool to support the users’ ability to reveal and analyze network connections among all a cardholder’s accounts and relationships. The main benefit is to help analysts visualize cardholder connections via network maps across product lines, although it can also generate customer risk scores—particularly useful in assessing account applications in real time. SAS notes particular success for this capability in identifying “bust-out” fraud and fraud mis-classified as credit losses—a real window into some of the “dark numbers” of credit card fraud we discussed in Section I. SAS 2008 11 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 12. III. Shaping The Fraud Management Marketplace One of the problems in writing a report on the topic of fraud solutions is that we are not interviewing criminals regarding their development plans. So our viewpoint is by definition one- sided and reactive. But from our side of the fence, here are issues that will shape the credit card fraud management space: • The enterprise vision As mentioned earlier, the vision of enterprise fraud and/or financial crimes management is logical and appealing. It may in fact be more powerful in its fraud reduction capabilities within credit cards when additional product relationships are considered. We are definitely in the early days of enterprise fraud detection, where for some banks, “enterprise” may mean just the credit and debit product lines. Given the product similarities and their common processors, this should not be surprising. Data on the incremental detection lift of enterprise implementations—even if only for two product lines versus one—will be key motivators for firms considering this approach. But the potential value extends beyond fraud detection; the benefits to cardholders and retaining their business could be material. • Cardholders are people too (and they vote with their feet) As we commented earlier, it is all too easy to get caught up in the realities of risk management and keeping the losses of all stakeholders in check, and to ignore the viewpoint of the cardholder. The ultimate risk is: if cardholders are too concerned about fraud, or too confused about how it might impact them personally, they will switch cards, go back to cash, alternative payment systems when they are available, or switch entire retail banking relationships. As with all financial businesses, customer trust is at the heart of the business, and mixed, confusing, or threatening messages with regard to fraud could certainly affect that trust. The following issues will strongly affect consumer actions: Fraud management as a marketing tool: Issuers are already marketing their fraud management capabilities, including recent TV advertising from major issuers. It will be interesting to see if issuers begin to tout specific fraud detection capabilities, policies, or service guarantees. There is a fine line to tread between scary and reassuring, and consumer testing of features and advertising will be a critical developmental stage. SAS 2008 12 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved
  • 13. But for many consumers, the bottom line will be their experience when they call in to report an unauthorized charge or other suspicious activity. Just like auto insurers who get a bad reputation when they fumble claims servicing, issuers risk losing both a fraudulent transaction and a customer if the cardholder experience is not top-notch. The distance from top-of-wallet to back-of-wallet is not very far. And negative effects may jump from the wallet to the bank account as well, if consumers are angered both by the occurrence of fraud as well as how it is handled by their bank. An issuer able to establish brand equity in consumer fraud protection could have a real advantage—reinforced every time a consumer reads a new report on identity theft or mass data breaches. The double-edged sword of alerts: we commented earlier that with the escalating alert capabilities of issuers, alerts could easily move from a valued featured to a liability if consumers are overwhelmed. Cardholder control can provide part of the solution, with the user empowered to throttle the volume of information that is appropriate to his or her level of tolerance. But with multiple credit and debit cards in the wallet, each with varying control capabilities and alert policies, alert volume to any one consumer could become significant. The danger is that this new capability ultimately encourages consumers to turn off alerts, ignore alerts, or induces an unnecessarily high level of cardholder paranoia to the detriment of card usage. Ultimately, industry consensus must emerge around the right types of alerts to push out, and standard consumer interfaces to control them. And of course, if the detection technologies are highlighting real fraudulent transactions (not false positives), issuers will be simultaneously minimizing consumer awareness of their false positives. In the immediate future, issuers will have the added complexity of managing both their fraud detection parameters and their communication parameters for cardholders. And driving alerts to consumers also means the potential for higher call center volumes and the need to carefully manage the handling of these calls. SAS 2008 13 2008, Mercator Advisory Group, Inc. This material may not be reproduced by any means without express written permission. All Rights Reserved