valen infographic vfvalen.com/wp-content/uploads/2016/09/valen_infographic_vf.pdf · source: snl...

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5 Key Insights Valen Clients Live By Commercial Auto $15M in profitable growth with 22% LR improvement Homeowners $7M in first year savings, 6:1 ROI BOP $4M benefit with 7.5% LR improvement (projected) ACTUAL LOSS RATIO RELATIVITY Comparing Predicitive Power The best results combine analytics with underwriting expertise RISK QUALITY CONTINUUM GOOD BAD 100% LR Underwriter create 50% lift Predictive Model creates 125% lift Underwriter/Model Combo creates 185% lift DWP GROWTH 2011 2012 2013 2014 2015 Direct Written Premium Growth Industry Average compared to Valen Clients Source: SNL (Annual Statement Data) 20% 8% 47% 63% 82% 15% 21% 26% Industry Average Valen Clients LOSS RATIO 2011 2012 2013 2014 2015 Accident Year Net Incurred Loss Ratio Industry Average compared to Valen Clients Source: SNL (Annual Statement Data) Industry Average Valen Clients 54% 66% 75% 69% 79% 48% 59% 55% 57% 61% Valen clients beat the market Work comp underwriting models in production 2-4 years Diverse set of firms, premium ranges of $15-$350M Accident year LR comparison 2011-2015 • Industry = 15% improvement • Valen clients = 30.8% improvement Valen clients grow faster Work comp industry growth = 26% Valen clients = grew 82% Why does this look so good? Valen clients understand the fundamental changes around customer acquisition, retention, and pricing. They are joining the ranks of information-based strategies and data-driven companies. It’s a balancing act Data isn’t a replacement for underwriting and underwriters can’t leverage powerful data without advanced tools. This Valen study shows underwriter performance improves 3x when they combine predictive analytics with expertise. A good risk selection result shows actual loss ratio moving up as risk quality moves to the right. They can lead the market, not simply follow it Valen clients have a jump start on much of the commercial lines market. They can continue to lead the pack as they grow their analytics sophistication. This isn’t a market where only the biggest insurers win. Not just for work comp Across the board, Valen’s clients realize impressive business results. It’s a formula that works regardless of line of business. Unparalleled Results 3X ROI 1 2 Source: Valen Analytics 2015 study Valen clients have better analytics performance Average LR improvement from predictive analytics is less than 10% Deloitte: 6-10% for underwriting AM Best survey: 94% report less than 3.5% Sources: Deloitte @ IASA conference / AM Best Survey March 2016 56% Insurers using predictive analytics in underwriting have been at it less than 2 years 45% Insurers not using underwriting analytics plan to start within 12 months Source: Valen Analytics 2015 survey Measurable goals Specific definitions of what success looks like allows insurers to employ adverse selection, rather than being on their heels defending against it. 3 Know what you insure The market will be driven by those who can best make use the available data. 4 Value comes from the implementation Training and execution are just as important as technology and analytics. 5 800.280.3304 www.valen.com 2X better than industry average 3X more than industry growth

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Page 1: Valen Infographic vFvalen.com/wp-content/uploads/2016/09/Valen_Infographic_vF.pdf · Source: SNL (Annual Statement Data) Industry Average Valen Clients 54% 66% 75% 69% 79% 48% 59%

5 Key Insights Valen Clients Live By

Commercial Auto$15M in profitable growth with 22% LR improvement

Homeowners

$7M in first year savings, 6:1 ROI

BOP

$4M benefit with 7.5% LR improvement (projected)

AC

TUA

L LO

SS R

ATIO

REL

ATIV

ITY

Comparing Predicitive PowerThe best results combine analytics with underwriting expertise

RISK QUALITY CONTINUUMGOOD BAD

100% LR

Underwriter create 50% liftPredictive Model creates 125% liftUnderwriter/Model Combo creates 185% lift

DW

P G

ROW

TH

2011 2012 2013 2014 2015

Direct Written Premium GrowthIndustry Average compared to Valen Clients

Source: SNL (Annual Statement Data)

20%

8%

47%63%

82%

15%

21%26%

Industry AverageValen Clients

LOSS

RAT

IO

2011 2012 2013 2014 2015

Accident Year Net Incurred Loss RatioIndustry Average compared to Valen Clients

Source: SNL (Annual Statement Data)

Industry AverageValen Clients

54%

66%

75%

69%

79%

48%

59%

55%57%

61%

Valen clients beat the marketWork comp underwriting models in production 2-4 years

Diverse set of firms, premium ranges of $15-$350M

Accident year LR comparison 2011-2015

• Industry = 15% improvement

• Valen clients = 30.8% improvement

Valen clients grow fasterWork comp industry growth = 26%

Valen clients = grew 82%

Why does this look so good?Valen clients understand the fundamental changes around customer acquisition, retention, and pricing.

They are joining the ranks of information-based strategies and data-driven companies.

It’s a balancing actData isn’t a replacement for underwriting and underwriters can’t leverage powerful data without advanced tools.

This Valen study shows underwriter performance improves 3x when they combine predictive analytics with expertise.

A good risk selection result shows actual loss ratio moving up as risk quality moves to the right.

They can lead the market,not simply follow itValen clients have a jump start on much of the commercial lines market. They can continue to lead the pack as they grow their analytics sophistication. This isn’t a market where onlythe biggest insurers win.

Not just for work compAcross the board, Valen’s clients realize impressive business results.

It’s a formula that works regardless of line of business.

Unparalleled Results

3X ROI

1

2

Source: Valen Analytics 2015 study

Valen clients have better analytics performanceAverage LR improvement frompredictive analytics is less than 10%

Deloitte: 6-10% for underwriting

AM Best survey: 94% report less than 3.5%Sources: Deloitte @ IASA conference / AM Best Survey March 2016

56%

Insurers using predictive analytics in underwriting have

been at it less than 2 years

45%

Insurers not using underwriting analytics plan

to start within 12 monthsSource: Valen Analytics 2015 survey

Measurable goals Specific definitions of what success looks like allows insurers to employ adverse selection, rather than being on their heels defending against it.

3

Know what you insure The market will be driven by those who can best make use the available data.

4

Value comes fromthe implementationTraining and execution are just as important as technology and analytics.

5

800.280.3304www.valen.com

2X better thanindustry average

3X more thanindustry growth