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THE ALTERNATIVE
CREDIT BUREAU
Evaluate & Effectively Test Alternative Credit Data
2
Scott Brackin
Vice President, Auto
sbrackin@factortrust.com
WELCOME TO FACTORTRUST WEBINAR
Dallas Munkus
Director, Customer Analytics
dmunkus@factortrust.com
3
AGENDA
We will discuss:
• The value and types of alternative credit data
• Key components of a comprehensive data set for testing
• Best practices for an effective implementation strategy
4
VALUE OF ALTERNATIVE DATA
M A R K E T O P P O R T U N I T Y T O S TAY C O M P E T I T I V E
Underserved
by Big 3
300-499
6%
500-549
8%
550-599
10%
600-649
10%
650-699
13%
700-749
16%
750-799
18%
800-850
19%
“Big 3” ~$8.5B in 2014 Revenue – Serving the “Prime/Banked”
Credit and Consumer Data Services Market
For Underbanked / Non-prime Largely Untapped
Massive Underserved Market Population
113M
of US adults,
have a FICO score
under 700
FICO Score Distribution of US Population (240M)
With ~$8.5B in combined revenue, the Big 3 credit reporting agencies (“CRAs”) are focused on
covering prime US consumers, leaving a significant market opportunity in the underbanked
population that is non-prime.
From CFPB (*May 2015) – 26 million U.S. adults have no credit history with the Big 3 bureaus, and further
19 million U.S. adults credit data is so limited or out of date with the Big 3 bureaus, that they are
unscoreable. In total, 45 million U.S. adults are living without credit scores.
47% OF U.S. ADULTS HAVE BELOW-AVERAGE CREDIT SCORES
5
VALUE OF ALTERNATIVE DATA
E C O S Y S T E M
6
VALUE OF ALTERNATIVE CREDIT DATA
N O N - T R A D I T I O N A L V S T R A D I T I O N A L
“I am not sure how to effectively utilize alternative data.”
8
COMPREHENSIVE DATA TESTING
E S TA B L I S H C L E A R G O A L S
Know the endgame and the more likely
your objective will be met.
Considerations:
• qualify more consumers
• eliminate credit losses
• improve conversion
• risk adjust pricing
9
COMPREHENSIVE DATA TESTING
K E Y E L E M E N T S
The key to a successful data analysis
involves starting with:
1. Proper input file
– Relevant sample size
– Performance Indicator(s)
– Matured accounts
2. Comprehensive data set, including
̶ Bookings
̶ Rejects
̶ Approved Not Booked
3. List of potential alternative data
providers to a manageable group
10
Measurements
Hit Rate
DisparityImpact
COMPREHENSIVE DATA TESTING
M E A S U R E M E N T: H I T R AT E
Hit Rate – Number of
applicants who would have
been present in the alternative
data file at the time of
application
Separation – Lift provided
by presence in the
database
Impact – Overall
results of cost
benefit analysis
“How do I implement alternative credit data?”
12
• There are large collections of public and proprietary data from thousands of
sources with identity intelligence and verification available that allow you to
make sure that the borrower’s:
– Input data is current and accurate
– SSN was issued and belongs to the name of the borrower
– Name verifications, e.g. marriage licenses
– Physical addresses and date verification
– Birth date verification
IMPLEMENTATION STRATEGY
V E R I F Y O R VA L I D AT E A N A P P L I C A N T ’ S I D E N T I T Y
13
• Knowing that a consumer is not present in an
alternative database is also telling
• Not being present in a short-term loan database
usually indicates an overall lower default rate
• If you simply segment on hit or no-hit, you will
potentially miss additional ranking power from
alternative data attribute suites or scores
IMPLEMENTATION STRATEGY
VA L U E O F A “ N O H I T ”
14
IMPLEMENTATION STRATEGY
O V E R L AY Y O U R R I S K S C O R E
KS is a standard measure for model effectiveness in the credit risk space and most auto
finance companies would consider the 40% lift in KS, as with this case study, statistically and
strategically significant.
15
• Alternative credit data may be used to automatically monitor accounts for
changes or events.
• Triggers alert finance providers on where and when to take action – Events
include:
– New loans or inquiries on file
– Change in salary
– Recent or late payments
– Change in debt-to-income
– Most recent address
– Most recent phone number
IMPLEMENTATION STRATEGY
A L E R T S T O R I S K A C T I V I T Y
QUESTIONS?
17
QUESTIONS AND NEXT STEPS
To inquire about data tests and analysis,
contact:
Scott Brackin
Vice President, Auto
E: sbrackin@factortrust.com
Twitter: @underbankedstew
THE ALTERNATIVE
CREDIT BUREAU

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Effective Data Testing NPT for Final

  • 1. THE ALTERNATIVE CREDIT BUREAU Evaluate & Effectively Test Alternative Credit Data
  • 2. 2 Scott Brackin Vice President, Auto sbrackin@factortrust.com WELCOME TO FACTORTRUST WEBINAR Dallas Munkus Director, Customer Analytics dmunkus@factortrust.com
  • 3. 3 AGENDA We will discuss: • The value and types of alternative credit data • Key components of a comprehensive data set for testing • Best practices for an effective implementation strategy
  • 4. 4 VALUE OF ALTERNATIVE DATA M A R K E T O P P O R T U N I T Y T O S TAY C O M P E T I T I V E Underserved by Big 3 300-499 6% 500-549 8% 550-599 10% 600-649 10% 650-699 13% 700-749 16% 750-799 18% 800-850 19% “Big 3” ~$8.5B in 2014 Revenue – Serving the “Prime/Banked” Credit and Consumer Data Services Market For Underbanked / Non-prime Largely Untapped Massive Underserved Market Population 113M of US adults, have a FICO score under 700 FICO Score Distribution of US Population (240M) With ~$8.5B in combined revenue, the Big 3 credit reporting agencies (“CRAs”) are focused on covering prime US consumers, leaving a significant market opportunity in the underbanked population that is non-prime. From CFPB (*May 2015) – 26 million U.S. adults have no credit history with the Big 3 bureaus, and further 19 million U.S. adults credit data is so limited or out of date with the Big 3 bureaus, that they are unscoreable. In total, 45 million U.S. adults are living without credit scores. 47% OF U.S. ADULTS HAVE BELOW-AVERAGE CREDIT SCORES
  • 5. 5 VALUE OF ALTERNATIVE DATA E C O S Y S T E M
  • 6. 6 VALUE OF ALTERNATIVE CREDIT DATA N O N - T R A D I T I O N A L V S T R A D I T I O N A L
  • 7. “I am not sure how to effectively utilize alternative data.”
  • 8. 8 COMPREHENSIVE DATA TESTING E S TA B L I S H C L E A R G O A L S Know the endgame and the more likely your objective will be met. Considerations: • qualify more consumers • eliminate credit losses • improve conversion • risk adjust pricing
  • 9. 9 COMPREHENSIVE DATA TESTING K E Y E L E M E N T S The key to a successful data analysis involves starting with: 1. Proper input file – Relevant sample size – Performance Indicator(s) – Matured accounts 2. Comprehensive data set, including ̶ Bookings ̶ Rejects ̶ Approved Not Booked 3. List of potential alternative data providers to a manageable group
  • 10. 10 Measurements Hit Rate DisparityImpact COMPREHENSIVE DATA TESTING M E A S U R E M E N T: H I T R AT E Hit Rate – Number of applicants who would have been present in the alternative data file at the time of application Separation – Lift provided by presence in the database Impact – Overall results of cost benefit analysis
  • 11. “How do I implement alternative credit data?”
  • 12. 12 • There are large collections of public and proprietary data from thousands of sources with identity intelligence and verification available that allow you to make sure that the borrower’s: – Input data is current and accurate – SSN was issued and belongs to the name of the borrower – Name verifications, e.g. marriage licenses – Physical addresses and date verification – Birth date verification IMPLEMENTATION STRATEGY V E R I F Y O R VA L I D AT E A N A P P L I C A N T ’ S I D E N T I T Y
  • 13. 13 • Knowing that a consumer is not present in an alternative database is also telling • Not being present in a short-term loan database usually indicates an overall lower default rate • If you simply segment on hit or no-hit, you will potentially miss additional ranking power from alternative data attribute suites or scores IMPLEMENTATION STRATEGY VA L U E O F A “ N O H I T ”
  • 14. 14 IMPLEMENTATION STRATEGY O V E R L AY Y O U R R I S K S C O R E KS is a standard measure for model effectiveness in the credit risk space and most auto finance companies would consider the 40% lift in KS, as with this case study, statistically and strategically significant.
  • 15. 15 • Alternative credit data may be used to automatically monitor accounts for changes or events. • Triggers alert finance providers on where and when to take action – Events include: – New loans or inquiries on file – Change in salary – Recent or late payments – Change in debt-to-income – Most recent address – Most recent phone number IMPLEMENTATION STRATEGY A L E R T S T O R I S K A C T I V I T Y
  • 17. 17 QUESTIONS AND NEXT STEPS To inquire about data tests and analysis, contact: Scott Brackin Vice President, Auto E: sbrackin@factortrust.com Twitter: @underbankedstew