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CoreLogic
Insurance Solutions:
TDI Award
Technology for
the entire
property
insurance
ecosphere
An InsurTech company that provides a
full spectrum of platforms and
applications for the entire property
insurance ecosphere.
2
Who is CoreLogic?
Our Mission
The CoreLogic Method for Innovation
Our suite of solutions are highly integrable to form (or lay the foundation
for) an integrated digital ecosystem – technologies that connect
processes between business divisions and with business partners. This
connected digital architecture facilitates optimized insurance workflows and
provides a single source of data for all stakeholders in a project.
CoreLogic in a Nutshell
Who is CoreLogic?
Our Mission
The CoreLogic Method for Innovation
3
CoreLogic in a Nutshell
Our mission is to facilitate the rebuilding of lives and restoration
of properties while positively impacting the lives of those we serve. We do
this through four pillars of technology – solution sets – that optimize
insurance operations while delivering exceptional customer service.
InsurTech with a Critical
Mission
Our Solution Sets:
Who is CoreLogic?
Our Mission
The CoreLogic Method for Innovation
4
We are constantly enhancing and
innovating our solutions so that our
technology remains ethical – in
other words, built with data that
approaches every person without
bias.
Our enhancements and new
products are designed to address
specific problems while having a
broad impact.
The Method for Innovation Behind
Our Cutting Edge Technology
CoreLogic in a Nutshell
A 2023 Underwriting
Innovation:
First Floor Height
(FFH)
5
To illustrate CoreLogic's innovation,
we introduce you to our First Floor
Height technology solution,
which enables insurers to more
accurately assess the flood risk of
commercial and residential structures.
The catalyst for developing this
solution was the underwriting
challenges surrounding flood
insurance policies – namely in
calculating the first floor height
of every property (the most important
– and most complicated – metric to
determine).
FFH is the elevation of the
ground floor relative to the
surrounding area and is the most
important metric for adjusting flood
risk into the future
Challenges with
Underwriting Flood
Insurance
Relying on elevation certificates, which often don't exist.
The process of procuring one is costly and time-
consuming.
Errors that elevation certificates often contain when
they do come back to homeowners and ultimately
insurance carriers.
Ensuring accuracy, with another traditional method of
identifying FFH being using estimates from properties
within the same neighborhood.
6
First floor height is a crucial factor that carriers
must include in their rating systems.
Delays and inaccuracies break the underwriting cycle and
bring significant costs to insurance companies and
homeowners.
Difficulties with calculating first floor height
include:
First Floor Height (FFH):
CoreLogic's AI-driven
Model
The First Floor Height model is powered by the industry's most
comprehensive property imagery and appraisal data collection, underwriters have
instant access to the intelligence they need to determine the first floor height of any
residential or commercial structure – all with one meter granularity.
With CoreLogic's First Floor Height model, underwriters have an
efficient, effective mechanism for accurately determining a structure's flood risk
and assigning the appropriate flood rating.
7
CoreLogic’s First Floor
Height Core Features
• Powerful image analytics embedded into the
model that remove the potential for human error
and oversight, as well as the need for elevation
certificates or other third parties
8
• One meter granularity to ensure measurements
with address-level precision, allowing carriers to
assign proper differentiation to every structure
• Integrated into CoreLogic's Underwriting
Platform to ensure all project stakeholders have
instant access to FFH data
In Summary: First Floor Height
Alternatives
• Using elevation certificates –
which are costly, time-consuming
to procure, and are prone to
human error
• Using neighborhood averages to
calculate first floor height – often
creating inaccurate formulas
because there is often a great
deal of height
differentiation among different
structures within neighborhoods
• Leveraging other models – no
other model on the market has
the one-
meter granularity/magnification
that CoreLogic's First Floor Height
model does
• Working with the homeowner to
measure first floor height –
creating conditions for human
error
9
By using First Floor Height, carriers avoid having to
use alternative mechanisms for calculating this critical
measurement. These other methods for carriers are:
FFH = 11ft
AAL $15
500yr PML = $16K
FFH = 0.5ft
AAL = $806
500yr PML =$120K
First Floor Height (FFH)
< 3ft
3ft – 5ft
5ft – 10ft
10ft – 15ft
15ft – 20ft
FFH FFH
First Floor Height Adjusts Damage & Loss
CONFIDENTIAL. This material may not be reproduced in any form without express written permission.
As you can see from these two homes – which are in the same
neighborhood – granularity matters when measuring first floor height, which
significantly impacts Average Annual Loss (AAL) and Probably Maximum
Loss (PML) for properties.
Using neighborhood
averages to calculate
the first floor height
of a property does
not guarantee
accuracy. This
pictured neighborho
od demonstrates the
common case in
which there are
multiple homes with
significantly different
elevation heights
within the same
community.
Sea Level
LAG = 8ft
FFH (First Floor
Height) = 11ft
What Does the FFH Model Look Like for Users?
BFE = 7ft
11
CONFIDENTIAL. This material may not be reproduced in any form without express written permission.
1
1
Feet
Integration with CoreLogic
Hazard Risk Scores
CoreLogic is in the process of integrating the First Floor
Height model will be with CoreLogic Hazard Risk
Scores.
These catastrophe-specific scores provide insurers with
objective risk scores for every type of natural disaster
that they can integrate into their rating systems for more
accurate risk analysis when calculating insurance
premiums.
12
Let photos and data do the talking when
possible.
13
With CoreLogic's FFH integrated into the CoreLogic Flood Risk Score, carriers that use the score to build their rating systems to establish
insurance premiums have a more accurate view of risk for every property.
For example, what have traditionally been considered high risk structures (based on first floor height measurements conducted without
CoreLogic's model) could easily be categorized as lower risk if their first floor height is measured accurately. A more realistic view of risk
is beneficial both to insurance providers and their policyholders – increasing insurability and even profitability.

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CoreLogic – Insurtech Innovation Award 2023

  • 2. Technology for the entire property insurance ecosphere An InsurTech company that provides a full spectrum of platforms and applications for the entire property insurance ecosphere. 2 Who is CoreLogic? Our Mission The CoreLogic Method for Innovation Our suite of solutions are highly integrable to form (or lay the foundation for) an integrated digital ecosystem – technologies that connect processes between business divisions and with business partners. This connected digital architecture facilitates optimized insurance workflows and provides a single source of data for all stakeholders in a project. CoreLogic in a Nutshell
  • 3. Who is CoreLogic? Our Mission The CoreLogic Method for Innovation 3 CoreLogic in a Nutshell Our mission is to facilitate the rebuilding of lives and restoration of properties while positively impacting the lives of those we serve. We do this through four pillars of technology – solution sets – that optimize insurance operations while delivering exceptional customer service. InsurTech with a Critical Mission Our Solution Sets:
  • 4. Who is CoreLogic? Our Mission The CoreLogic Method for Innovation 4 We are constantly enhancing and innovating our solutions so that our technology remains ethical – in other words, built with data that approaches every person without bias. Our enhancements and new products are designed to address specific problems while having a broad impact. The Method for Innovation Behind Our Cutting Edge Technology CoreLogic in a Nutshell
  • 5. A 2023 Underwriting Innovation: First Floor Height (FFH) 5 To illustrate CoreLogic's innovation, we introduce you to our First Floor Height technology solution, which enables insurers to more accurately assess the flood risk of commercial and residential structures. The catalyst for developing this solution was the underwriting challenges surrounding flood insurance policies – namely in calculating the first floor height of every property (the most important – and most complicated – metric to determine). FFH is the elevation of the ground floor relative to the surrounding area and is the most important metric for adjusting flood risk into the future
  • 6. Challenges with Underwriting Flood Insurance Relying on elevation certificates, which often don't exist. The process of procuring one is costly and time- consuming. Errors that elevation certificates often contain when they do come back to homeowners and ultimately insurance carriers. Ensuring accuracy, with another traditional method of identifying FFH being using estimates from properties within the same neighborhood. 6 First floor height is a crucial factor that carriers must include in their rating systems. Delays and inaccuracies break the underwriting cycle and bring significant costs to insurance companies and homeowners. Difficulties with calculating first floor height include:
  • 7. First Floor Height (FFH): CoreLogic's AI-driven Model The First Floor Height model is powered by the industry's most comprehensive property imagery and appraisal data collection, underwriters have instant access to the intelligence they need to determine the first floor height of any residential or commercial structure – all with one meter granularity. With CoreLogic's First Floor Height model, underwriters have an efficient, effective mechanism for accurately determining a structure's flood risk and assigning the appropriate flood rating. 7
  • 8. CoreLogic’s First Floor Height Core Features • Powerful image analytics embedded into the model that remove the potential for human error and oversight, as well as the need for elevation certificates or other third parties 8 • One meter granularity to ensure measurements with address-level precision, allowing carriers to assign proper differentiation to every structure • Integrated into CoreLogic's Underwriting Platform to ensure all project stakeholders have instant access to FFH data
  • 9. In Summary: First Floor Height Alternatives • Using elevation certificates – which are costly, time-consuming to procure, and are prone to human error • Using neighborhood averages to calculate first floor height – often creating inaccurate formulas because there is often a great deal of height differentiation among different structures within neighborhoods • Leveraging other models – no other model on the market has the one- meter granularity/magnification that CoreLogic's First Floor Height model does • Working with the homeowner to measure first floor height – creating conditions for human error 9 By using First Floor Height, carriers avoid having to use alternative mechanisms for calculating this critical measurement. These other methods for carriers are:
  • 10. FFH = 11ft AAL $15 500yr PML = $16K FFH = 0.5ft AAL = $806 500yr PML =$120K First Floor Height (FFH) < 3ft 3ft – 5ft 5ft – 10ft 10ft – 15ft 15ft – 20ft FFH FFH First Floor Height Adjusts Damage & Loss CONFIDENTIAL. This material may not be reproduced in any form without express written permission. As you can see from these two homes – which are in the same neighborhood – granularity matters when measuring first floor height, which significantly impacts Average Annual Loss (AAL) and Probably Maximum Loss (PML) for properties. Using neighborhood averages to calculate the first floor height of a property does not guarantee accuracy. This pictured neighborho od demonstrates the common case in which there are multiple homes with significantly different elevation heights within the same community.
  • 11. Sea Level LAG = 8ft FFH (First Floor Height) = 11ft What Does the FFH Model Look Like for Users? BFE = 7ft 11 CONFIDENTIAL. This material may not be reproduced in any form without express written permission. 1 1 Feet
  • 12. Integration with CoreLogic Hazard Risk Scores CoreLogic is in the process of integrating the First Floor Height model will be with CoreLogic Hazard Risk Scores. These catastrophe-specific scores provide insurers with objective risk scores for every type of natural disaster that they can integrate into their rating systems for more accurate risk analysis when calculating insurance premiums. 12
  • 13. Let photos and data do the talking when possible. 13 With CoreLogic's FFH integrated into the CoreLogic Flood Risk Score, carriers that use the score to build their rating systems to establish insurance premiums have a more accurate view of risk for every property. For example, what have traditionally been considered high risk structures (based on first floor height measurements conducted without CoreLogic's model) could easily be categorized as lower risk if their first floor height is measured accurately. A more realistic view of risk is beneficial both to insurance providers and their policyholders – increasing insurability and even profitability.

Editor's Notes

  1. We ran all locations through our prob flood model with equal limits and deductibles to generate AAL by property – adjusted with FFH The green property on the left has the highest FFH and also the lowest flood AAL The properties on the right have the lowest FFH and you can see that the AALs are also significantly higher Before FFH we just made assumptions based on average neighborhood conditions of whether homes are elevated, but this neighborhood shows that almost every building is unique All images from RiskMeter and ArcGIS
  2. LAG = elevation above sea level according to NAVD88 FFH is the additional from the LAG After we combine all the intelligence and base data and apply the right algorithms, we can derive the useful measurements like those you see here that tell us for this Houston area waterfront property how far above the ground sits the first flood So this property sits entirely within the 100 year flood zone, but it’s elevated so high it is above even the 500 year flood zone Image from RiskMeter