effective data testing npt for final

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THE ALTERNATIVE CREDIT BUREAU Evaluate & Effectively Test Alternative Credit Data

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Page 1: Effective Data Testing NPT for Final

THE ALTERNATIVE CREDIT BUREAU

Evaluate & Effectively Test Alternative Credit Data

Page 2: Effective Data Testing NPT for Final

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Scott BrackinVice President, Auto

[email protected]

WELCOME TO FACTORTRUST WEBINAR

Dallas MunkusDirector, Customer Analytics

[email protected]

Page 3: Effective Data Testing NPT for Final

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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

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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

300-4996%

500-5498%

550-59910%

600-64910%

650-69913%

700-74916%

750-79918%

800-85019%

“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

113Mof 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adults have no credit history with the Big 3 bureaus, and further 19 million U.S. adults credit data is so limited or out of date with the Big 3 bureaus, that they are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

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VALUE OF ALTERNATIVE DATA E C O S Y S T E M

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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

Page 7: Effective Data Testing NPT for Final

“I am not sure how to effectively utilize alternative data.”

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COMPREHENSIVE DATA TEST INGE 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

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COMPREHENSIVE DATA TEST INGK 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

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Measurements

Hit Rate

DisparityImpact

COMPREHENSIVE DATA TEST INGM 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

Page 11: Effective Data Testing NPT for Final

“How do I implement alternative credit data?”

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• 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

IMPLEMENTATI ON 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

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• 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

IMPLEMENTATI ON STRATEGY VA L U E O F A “ N O H I T ”

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IMPLEMENTATI ON 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.

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• 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

IMPLEMENTATI ON STRATEGY A L E R T S T O R I S K A C T I V I T Y

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QUESTIONS?

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QUESTIONS AND NEXT STEPS

To inquire about data tests and analysis,

contact:

Scott BrackinVice President, Auto

E: [email protected]

Twitter: @underbankedstew

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THE ALTERNATIVE CREDIT BUREAU