SlideShare a Scribd company logo
Delivering Efficiency
and Customer
Satisfaction to Claims
and Underwriting with
Dynamic Weather
Precisely has launched an amazing historical, real-time, and forecast
weather solution for our Property and Casualty and Reinsurance
clients.
Precisely Dynamic Weather provides high-precision location and
weather events leveraging industry-leading Baron Weather.
These events are updated every 5 minutes!
Focus: Delivering Efficiency and Policyholder
Satisfaction – Impact of Weather on Lifecycle
Dynamic Weather Examples
• Binding Suspension: Identify what policies in force will/may be affected by a
severe weather event and avoid untimely policy changes.
• First Notice of Loss: Expedite the FNOL process; we “know” you were affected by
the event; how can we help?
• Claims Resource Positioning: Determine what policies will be impacted by a
forecasted event and have adjusters available for those that will be affected the
most.
• Risk Forecasting: Reduce on-site field claims deployment – highly detailed post
weather event data enables claims team to remotely settle more claims with
increased accuracy.
• Fraud Determination: Was the policy impacted by the event? Was the
magnitude of the event great enough to cause damage? Did the damage occur
before the policy was written?
• Pricing/Underwriting: Review recent past weather data within various territories
for pricing new states or properly pricing books in existing states relative to
weather perils.
Dynamic Weather Conditions
• Local Storm Reports
• Storm Tracks
• ENTLN Lightning
• Lightning Heatmap
• Fire and Smoke
• Storm Prediction Center Outlooks
• High Wind Path
• Critical Weather Indicators
• Hail Path
• 24 hr Rainfall Accum.
• Current Threats
• Current Weather
• Future Scan
• Convective Available Potential Energy
• Storm Relative Helicity
• Baron Button
• North American Radar
• High-Res Wind Speed
• Temperature
• Snow Accum.
• Wind Speed
• Precipitation Forecast
• Precipitation Accum.
• Max Reflectivity
• Sleet Accum.
• Freezing Rain Accum.
• Hail Forecast
• Lightning Forecast
Tropical
• Official Tropical Track
Forecast
• Hurricane Hunter
• Tropical Track Model
• Track History
Weather
• NWS Watches & Weather
• Temperature
• Wind Speed
• 24 hr Temp Change
• Current Wet Bulb Temp
Winter Weather
• Official Tropical Track
Forecast
• Hurricane Hunter
• Tropical Track Model
• Track History
Observations
• Earthquakes
• Air Quality Index
• Air Quality Ozone Index
• Air Quality Particulate
• Air Quality Visual Range
Single Site Radar
• Rainfall Accum.
• Level ll Max Reflectively
• Level ll – 24 hr Total Precipitation
• Level lll – 24 hr Precipitation Accum. Composite
• CONUS Hail Swath Mosaic
• CONUS Shear Swath Mosaic
• CONUS Mosaic Shear Rate
• Surface Temperatures
• Surface Wind Speeds
• METARS
• Storm Vectors
• Shear Markers Current Weather Storm Reports
• Fog (Visibility)
• Surface Wind Chill
• Surface Heat Index
• 24 hr Surface Temperature Change
• High – Res Max Reflectivity Composite
• Road Condition
• High – Res Current Wind Speeds
• Nationwide Snow Accum.
Best in Industry Weather Data, in Partnership with Baron
• Dual – Polarization Radar:
• Receives pulses in both a Horizontal and Vertical orientation to
provide better estimates of size, shape, and severity of weather
conditions.
• Frequency of Data Collection:
• Tracking/Collecting weather conditions in 5-minute intervals
• Additional Differentiators:
 High-resolution radar data
 Proprietary products for wind, flooding, hail and tornadoes
 Exclusive products tracking the path of hail and damaging
winds
 Pulse Doppler Radar national infrastructure
 Meteorological expertise as a result of infrastructure build out
and IP ownership in the weather space
Why the Precisely approach matters…
Real-time alerting
of impending
event
Identifying when
the event began
and what
locations are
being impacted
Archive weather
conditions for
impact analysis
End to End
Tracking of an
Event
Tracking Event Collecting Event
Data
Were these addresses impacted?
or
What addresses were impacted?
Customizable Delivery via API…Forecast, Real – Time, and
Historical
• Events of interest
• Weather thresholds
• Geography
• Time
• Magnitude
Define
• Policies in force
• Prospective policies
• Claim locations
• Rating territories
Identify
Deliver
Interactive Weather
Live Weather
Alerting
Forecasted Impacts
Point of Quote / Underwriting
Precisely strengths
• Binding Suspension
• Historical Risk
• Wildfire burn parameters and smoke/wind parameter visualization and
reporting – enable efficient CAT management decisions.
• Underwriting Pricing exception review and visualization for Risk
Concentration and Risk Proximity
9
Insurance underwriting
process
The insurance underwriting process relies heavily on statistical analysis to
determine risk.
• Personal finances
• Credit Score
• Location
• Driving history
• Health
• Home construction
materials
• Vehicle type
• Crime data
• Weather data
California has
4MM acres
fires burning
(size of MA).
In 2020,
9,200
structures
burned.
-CalFire
Underwriting Binding Suspension
• Fire alerts, which pertain to environmental influences conducive for fires to
start
• Identify when and where fire incidents are taking place
• Perimeters, smoke, and fire, are accessible as well – perimeters are built out
once an incident is being addressed by a fire agency, therefore you can
have incidents without perimeters
• Fire incident locations as well as current fire and smoke perimeters and
metadata associated with the event that can be fetched and displayed in
Spectrum Spatial Risk Analyzer
Underwriting Use
Case - Wildfire
Actuary – Pricing / Rating
Precisely strengths
• Hail & Wind – Geohash
• Risk Forecasting
• Data Science Enablement
• Access to Historical Weather Archive
14
The is a
unique and persistent
12-digit identifier for all
addressable locations
throughout the US
Streamlined
Enrichment
Address: 8810 Crestview Dr
Frisco, TX 75033
Geocode
PreciselyID: P0000M3HMX6H
Building ID: B000CTQOW7U8
Parcel ID: 127500661
Flood Zone: Moderate Risk – 309
ft to High Risk
309 ft
Operationalizing High-Resolution Real-Time Weather Data…
½ Mile Geohash
Grids/Multi-
Resolution Raster
Client Defined Threshold, Ex -
Wind Speed Grid (MPH)
Weather Data
Integration with
PreciselyID Wind = 93 MPH
PreciselyID Address City State ZIP Geohash5 Assessed Value Year Built Wind Speed
P0000M3P4INB 217 Royal Palm Way Holy Ridge NC 28445 dq0uj 350,640 2006 73 mph
P0000M3P4IOE 209 Royal Palm Way Holy Ridge NC 28445 dq0uj 215,370 2011 73 mph
P0000M3POR9L 10 Calcos Ct Holy Ridge NC 28445 dq0uj 352,350 2006 85 mph
We make Weather Data Actionable through the PreciselyID…
Address: 8810 Crestview Dr
Frisco, TX 75033
Geocode
PreciselyID: P0000M3HMX6H
Geohash ID: 9vghth
Weather Condition:
• 100% Probability of Hail Size
greater than 3in
9vghsv
9vghsu
9vghsg
9vghtj 9vghtm
9vghth
9vghtk
9vght5 9vght7
Hail event impacting Tilden, Texas…
Tilden, TX
But Tilden was not the only location impacted by the event….
Hail Size:
• <1 in
• 1 – 2 in
• >2 in • Event Duration: 4+
hours
• Hail size ranged from .5
in to >3 in in diameter
• were
impacted
• properties
Hail larger than 1” diameter can cause damage to a home….
Hail Size:
• >1 in • 17 ZIP Codes were impacted
• 79,886 total properties were
impacted by Hail larger > = 1”
• $8.6 billion in total Market
Value was affected by the
event (Avg. $107,686/home)
Policy Holder Coverage A Premium PreciselyID Address Number City State ZIP Accuracy Latitude Longitude Property Type Hail Size
John Martin $28,007 $1,124 P0000M3P4INB 403 Martin St Tilden TX 78072 P05 28.456571 -98.550166 R >= 3 in hail
Carole Burnett $114,362 $1,853 P0000M3P4IOE 401 Congress St Tilden TX 78072 P02 28.460933 -98.546925 R >= 3 in hail
Thomas Holden $2,192,799 $7,642 P0000M3POR9L 1600 S Highway 16 Tilden TX 78072 P05 28.452684 -98.552274 R >= 3 in hail
Elizabeth Coady $60,232 $1,567 P0000M3WFSYU 123 Roark Rd Tilden TX 78072 P02 28.563862 -98.515815 B >= 3 in hail
Jason Ford $124,805 $1,989 P0000M3P4INT 400 Lowe St Tilden TX 78072 P02 28.457731 -98.549443 R >= 3 in hail
Real – Time Localized Impact Reports:
Actuary Use Case
Hail
Claims and CAT Risk
Precisely strengths
• Weather Event Notification
• Fraud Determination
• Real-Time Weather Forecast notifications
• Integrate with leading imagery providers for blue sky and grey sky images of
initial claims loss assessment
• First Notice of Loss
• Claims/CAT team Resource Positioning – CAT Management
• Drive time/drive distance determination – Dispatch
• Wildfire burn parameters and smoke/wind parameter visualization and reporting
– enable efficient CAT management decisions. – CAT Management
• Location Specific Weather Reports - hail, wind, lightning, and temperature –
Field Adjuster
• Executive Dashboard Visualization and reporting
23
2019 was the 5th consecutive year in which
10+ billion-dollar weather and climate
disaster events affected the United States
Claims Efficiency and Customer Satisfaction
Pre/Post CAT
Planning
Claims
Adjustor
Dispatch
SLT
Field Claims
Adjustor
Claims
Operations
Management
Policy Holder
Claims Use Case
Hurricane Event
Retention - Renewals
27
Understanding the dynamics of
Weather Alerting…
• For major weather events, alerts are sent out every hour to those regions that
may be affected by the event
• Alerts are generalized at the county level
• Multiple alerts for the same event are sent out with new ID’s which can cause
confusion around new events vs. continuing events
Tropical Storms & Hurricanes in 2020:
• 26 Tropical & Subtropical events
• 25 Named Storms
• 9 Hurricanes
• 3 Major Hurricanes
168 Alert
Minimum 4,468
Alerts
Wildfires in 2020 as of 9/24/2020:
• 1,283 Active Wildfire Perimeters
• 4 million acres burned in CA
48 Alert
Minimum 61,584
Alerts
Questions
Appendix
Dynamic Weather Planned Major Development
Milestones for 2021
Address level event reports
service. Hail, Wind, Lightning,
temperature, Hurricane reports
service in the initial rollout
Dynamic Weather Reports
Service (Q2)
Start to end historic and current
Hurricane impact data, alerts
and forecast, Zip code level
Hurricane reports, severe
weather Meteorologist led
webinar service
Dynamic Weather Hurricane
Service (Q2)
Hail, Hurricane, Tornado,
Damaging Wind, Rainfall,
Lightning, Temperature Maps
and daily data for analysis.
Event impact boundaries
(spatial and temporal)
Dynamic Weather Daily
Event Service (Q2/3)
Wind, Smoke, fire, perimeter
boundaries. Forecast impacted
and actual impacted address
data. Historic Wildfire data
Dynamic Weather Wildfire
Service (Q2/3)
32
This is intended for informational purposes only and may not be used to form the basis for any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing
decisions. The specific features, functionality and release timing of any new products or new versions of current products remain at the sole discretion of Precisely.
This presentation contains Precisely confidential statements. Final implementation and delivery dates are subject to change without prior notice
The Precisely Approach
Real – time &
Forecast alerting
of impending
event
Identifying when
the event will
begin and what
locations will be
impacted
Archive weather
conditions for
impact analysis
End to End
Tracking of an
Event
Tracking Event Collecting Live
Event Data
Were these addresses impacted?
or
What addresses were impacted?
•Binding Suspension - UW
•First Notice of Loss - Claims
•Claims/CAT team Resource Positioning - Claims
•Risk Forecasting - UW/Actuary
•Fraud Determination - Claims
•Real-Time Weather Forecast notifications - Claims
•Integrate with leading imagery providers for blue sky and grey sky images
of initial claims loss assessment.
•Drive time/drive distance determination
•Wildfire burn parameters and smoke/wind parameter visualization and
reporting – enable efficient CAT management decisions.
•Underwriting/Pricing exception review and visualization for Risk
Concentration and Risk Proximity
•Location Specific Weather Reports - hail, wind, lightning,
and temperature
•Executive Dashboard Visualization and reporting
• Personas
• Divisions – UW, Actuary, Claims
• Forecast, Near Real –
Time, Historical
•Location Specific Weather Reports - hail, wind, lightning,
and temperature
•Executive Dashboard Visualization and reporting
• Personas
• Divisions – UW, Actuary, Claims
• Forecast, Near Real –
Time, Historical
• Merger of Syncsort &
Pitney Bowes Software and
Data
• 12,000+ Customers
Globally
• 25 of top 25 P&C Insurers
• 90 top Fortune 100
Companies
• 100 years of experience
data integrity market
Hyperlocal Weather for Yesterday, Today
and Tomorrow
37
Historic Weather
• How badly has a property been
affected by weather events in
the past?
• Fraud detection – did the
damage happen due to a past
weather event?
• Assess your entire portfolio &
prospective new customers
against historic weather events
to better risk assess them
• Create more accurate rating
territories based on historic
weather in zipcode or geohash
areas
Near-Live Weather
• We know you’ve just been hit by
a weather event, how can we
help you?
• Save costs, use the hyperlocal
weather data to quickly validate
claims remotely
• Notify your organisation daily of
any upcoming weather events
• Attend meteorologist hosted
extreme weather webinars to
get the detail on a major event
Forecast Weather
• Put your car away in your
garage, there’s a hail storm
headed your way
• Get your claims adjusters in the
right place at the right time
• Based on the forecast, how
exposed is my book of business
during the upcoming storm?
Master Location Data with PreciselyID
WHAT IS IT: Best-in-class Address Point geocoding dataset that is built, owned and maintained by Precisely
WHY IS IT SO ACCURATE: HIGH MATCH RATE + BEST IN CLASS POSITIONAL ACCURACY
Build Data
Merge
De-dup
Standardize
Assign
PreciselyID
Link to our data
Build linkable data
Pre-score the country
Discover additional
addresses
Manage data
synchronization
Data Transfer
207m Addresses
50m Secondary
Addresses
193m Addressable
Locations
(PreciselyID)
Support for POI’s
in Address
Matching
55% Building Centroids (or
better)
38% Parcel Centroids
3% Interpolated
Locations
4% Backfill Centroids
We make Weather Data Actionable through the PreciselyID…
Address: 8810 Crestview Dr
Frisco, TX 75033
Geocode
pbKey: P0000M3HMX6H
GeoHash ID: 9vghth
Weather Condition:
• 100% Probability of Hail Size
>=3in
9vghth
Precisely identified over 150
properties that were impacted by
the event within the geohash.

More Related Content

Similar to Delivering Efficiency and Customer Satisfaction to Claims and Underwriting with Dynamic Weather

Automated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME PlatformAutomated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME Platform
Consortech
 
OSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIA
OSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIAOSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIA
OSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIA
Emily Sweillam
 
TC19_HandsOn_Session_FINAL.pptx
TC19_HandsOn_Session_FINAL.pptxTC19_HandsOn_Session_FINAL.pptx
TC19_HandsOn_Session_FINAL.pptx
rishikakennyet
 
CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...
CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...
CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...
The Statistical and Applied Mathematical Sciences Institute
 
National Weather Service Storm Spotter Training
National Weather Service Storm Spotter TrainingNational Weather Service Storm Spotter Training
National Weather Service Storm Spotter Training
chowd
 
SkyGuard Overview June 2013
SkyGuard Overview June 2013SkyGuard Overview June 2013
SkyGuard Overview June 2013
Don Coash
 
How location can mitigate risk exposure to your inaurance portfolio
How location can mitigate risk exposure to your inaurance portfolioHow location can mitigate risk exposure to your inaurance portfolio
How location can mitigate risk exposure to your inaurance portfolio
DMTI Spatial
 
2020 07 02 george kovacic - croscorp presentation - final (003)
2020 07 02   george kovacic - croscorp presentation - final (003)2020 07 02   george kovacic - croscorp presentation - final (003)
2020 07 02 george kovacic - croscorp presentation - final (003)
George Kovacic
 
Physical Climate Risk Analytics
Physical Climate Risk AnalyticsPhysical Climate Risk Analytics
Physical Climate Risk Analytics
Sharanjit Paddam
 
Introduction to Fiscal Metering (Custody Transfer)
Introduction to Fiscal Metering (Custody Transfer) Introduction to Fiscal Metering (Custody Transfer)
Introduction to Fiscal Metering (Custody Transfer)
Mozaffar Etezadi Far
 
5 Feb 2011 Sanjay Kaul NCSML Agri Insurance
5 Feb 2011 Sanjay Kaul NCSML Agri Insurance5 Feb 2011 Sanjay Kaul NCSML Agri Insurance
5 Feb 2011 Sanjay Kaul NCSML Agri InsuranceCSISA
 
Brock long chatham county presentation
Brock long   chatham county presentationBrock long   chatham county presentation
Brock long chatham county presentationChatham EMA
 
Near realtime wildfire simulation using big data platforms
Near realtime wildfire simulation using big data platformsNear realtime wildfire simulation using big data platforms
Near realtime wildfire simulation using big data platforms
Bishrant Adhikari
 
Charlotte UAV : An Ideal Partner for Mecklenburg County
Charlotte UAV : An Ideal Partner for Mecklenburg CountyCharlotte UAV : An Ideal Partner for Mecklenburg County
Charlotte UAV : An Ideal Partner for Mecklenburg County
Bretten Smith
 
Weather and lightning brochure
Weather and lightning brochureWeather and lightning brochure
Weather and lightning brochure
WeatherDemo
 
4b Egypt_ Country experience
4b Egypt_ Country experience4b Egypt_ Country experience
4b Egypt_ Country experience
NAP Events
 
Rain Check: Preparing Your Stormwater System for Historic Flooding
Rain Check: Preparing Your Stormwater System for Historic FloodingRain Check: Preparing Your Stormwater System for Historic Flooding
Rain Check: Preparing Your Stormwater System for Historic Flooding
Cartegraph
 
Fas drs power_point_2003
Fas drs power_point_2003Fas drs power_point_2003
Fas drs power_point_2003shallongammon
 
E2 friday navigating crs
E2 friday   navigating crsE2 friday   navigating crs
E2 friday navigating crs
Planning_1
 

Similar to Delivering Efficiency and Customer Satisfaction to Claims and Underwriting with Dynamic Weather (20)

Automated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME PlatformAutomated Catastrophic Events Geographic data load using FME Platform
Automated Catastrophic Events Geographic data load using FME Platform
 
OSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIA
OSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIAOSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIA
OSHA A Strategic Partner for Residential & Commercial PA's | UDR | TAPIA
 
TC19_HandsOn_Session_FINAL.pptx
TC19_HandsOn_Session_FINAL.pptxTC19_HandsOn_Session_FINAL.pptx
TC19_HandsOn_Session_FINAL.pptx
 
CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...
CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...
CLIM: Transition Workshop - Advances in Understanding of Climate Extremes - K...
 
National Weather Service Storm Spotter Training
National Weather Service Storm Spotter TrainingNational Weather Service Storm Spotter Training
National Weather Service Storm Spotter Training
 
SkyGuard Overview June 2013
SkyGuard Overview June 2013SkyGuard Overview June 2013
SkyGuard Overview June 2013
 
Evac timeline
Evac timelineEvac timeline
Evac timeline
 
How location can mitigate risk exposure to your inaurance portfolio
How location can mitigate risk exposure to your inaurance portfolioHow location can mitigate risk exposure to your inaurance portfolio
How location can mitigate risk exposure to your inaurance portfolio
 
2020 07 02 george kovacic - croscorp presentation - final (003)
2020 07 02   george kovacic - croscorp presentation - final (003)2020 07 02   george kovacic - croscorp presentation - final (003)
2020 07 02 george kovacic - croscorp presentation - final (003)
 
Physical Climate Risk Analytics
Physical Climate Risk AnalyticsPhysical Climate Risk Analytics
Physical Climate Risk Analytics
 
Introduction to Fiscal Metering (Custody Transfer)
Introduction to Fiscal Metering (Custody Transfer) Introduction to Fiscal Metering (Custody Transfer)
Introduction to Fiscal Metering (Custody Transfer)
 
5 Feb 2011 Sanjay Kaul NCSML Agri Insurance
5 Feb 2011 Sanjay Kaul NCSML Agri Insurance5 Feb 2011 Sanjay Kaul NCSML Agri Insurance
5 Feb 2011 Sanjay Kaul NCSML Agri Insurance
 
Brock long chatham county presentation
Brock long   chatham county presentationBrock long   chatham county presentation
Brock long chatham county presentation
 
Near realtime wildfire simulation using big data platforms
Near realtime wildfire simulation using big data platformsNear realtime wildfire simulation using big data platforms
Near realtime wildfire simulation using big data platforms
 
Charlotte UAV : An Ideal Partner for Mecklenburg County
Charlotte UAV : An Ideal Partner for Mecklenburg CountyCharlotte UAV : An Ideal Partner for Mecklenburg County
Charlotte UAV : An Ideal Partner for Mecklenburg County
 
Weather and lightning brochure
Weather and lightning brochureWeather and lightning brochure
Weather and lightning brochure
 
4b Egypt_ Country experience
4b Egypt_ Country experience4b Egypt_ Country experience
4b Egypt_ Country experience
 
Rain Check: Preparing Your Stormwater System for Historic Flooding
Rain Check: Preparing Your Stormwater System for Historic FloodingRain Check: Preparing Your Stormwater System for Historic Flooding
Rain Check: Preparing Your Stormwater System for Historic Flooding
 
Fas drs power_point_2003
Fas drs power_point_2003Fas drs power_point_2003
Fas drs power_point_2003
 
E2 friday navigating crs
E2 friday   navigating crsE2 friday   navigating crs
E2 friday navigating crs
 

More from Precisely

AI-Ready Data - The Key to Transforming Projects into Production.pptx
AI-Ready Data - The Key to Transforming Projects into Production.pptxAI-Ready Data - The Key to Transforming Projects into Production.pptx
AI-Ready Data - The Key to Transforming Projects into Production.pptx
Precisely
 
Building a Multi-Layered Defense for Your IBM i Security
Building a Multi-Layered Defense for Your IBM i SecurityBuilding a Multi-Layered Defense for Your IBM i Security
Building a Multi-Layered Defense for Your IBM i Security
Precisely
 
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdfOptimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Precisely
 
Chaining, Looping, and Long Text for Script Development and Automation.pdf
Chaining, Looping, and Long Text for Script Development and Automation.pdfChaining, Looping, and Long Text for Script Development and Automation.pdf
Chaining, Looping, and Long Text for Script Development and Automation.pdf
Precisely
 
Revolutionizing SAP® Processes with Automation and Artificial Intelligence
Revolutionizing SAP® Processes with Automation and Artificial IntelligenceRevolutionizing SAP® Processes with Automation and Artificial Intelligence
Revolutionizing SAP® Processes with Automation and Artificial Intelligence
Precisely
 
Navigating the Cloud: Best Practices for Successful Migration
Navigating the Cloud: Best Practices for Successful MigrationNavigating the Cloud: Best Practices for Successful Migration
Navigating the Cloud: Best Practices for Successful Migration
Precisely
 
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
Unlocking the Power of Your IBM i and Z Security Data with Google ChronicleUnlocking the Power of Your IBM i and Z Security Data with Google Chronicle
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
Precisely
 
How to Build Data Governance Programs That Last - A Business-First Approach.pdf
How to Build Data Governance Programs That Last - A Business-First Approach.pdfHow to Build Data Governance Programs That Last - A Business-First Approach.pdf
How to Build Data Governance Programs That Last - A Business-First Approach.pdf
Precisely
 
Zukuntssichere SAP Prozesse dank automatisierter Massendaten
Zukuntssichere SAP Prozesse dank automatisierter MassendatenZukuntssichere SAP Prozesse dank automatisierter Massendaten
Zukuntssichere SAP Prozesse dank automatisierter Massendaten
Precisely
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
Precisely
 
Crucial Considerations for AI-ready Data.pdf
Crucial Considerations for AI-ready Data.pdfCrucial Considerations for AI-ready Data.pdf
Crucial Considerations for AI-ready Data.pdf
Precisely
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Precisely
 
Justifying Capacity Managment Webinar 4/10
Justifying Capacity Managment Webinar 4/10Justifying Capacity Managment Webinar 4/10
Justifying Capacity Managment Webinar 4/10
Precisely
 
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Precisely
 
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Precisely
 
Testjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3f
Testjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3fTestjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3f
Testjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3f
Precisely
 
Data Innovation Summit: Data Integrity Trends
Data Innovation Summit: Data Integrity TrendsData Innovation Summit: Data Integrity Trends
Data Innovation Summit: Data Integrity Trends
Precisely
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
Precisely
 
Optimisez la fonction financière en automatisant vos processus SAP
Optimisez la fonction financière en automatisant vos processus SAPOptimisez la fonction financière en automatisant vos processus SAP
Optimisez la fonction financière en automatisant vos processus SAP
Precisely
 
SAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen
SAPS/4HANA Migration - Transformation-Management + nachhaltige InvestitionenSAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen
SAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen
Precisely
 

More from Precisely (20)

AI-Ready Data - The Key to Transforming Projects into Production.pptx
AI-Ready Data - The Key to Transforming Projects into Production.pptxAI-Ready Data - The Key to Transforming Projects into Production.pptx
AI-Ready Data - The Key to Transforming Projects into Production.pptx
 
Building a Multi-Layered Defense for Your IBM i Security
Building a Multi-Layered Defense for Your IBM i SecurityBuilding a Multi-Layered Defense for Your IBM i Security
Building a Multi-Layered Defense for Your IBM i Security
 
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdfOptimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
 
Chaining, Looping, and Long Text for Script Development and Automation.pdf
Chaining, Looping, and Long Text for Script Development and Automation.pdfChaining, Looping, and Long Text for Script Development and Automation.pdf
Chaining, Looping, and Long Text for Script Development and Automation.pdf
 
Revolutionizing SAP® Processes with Automation and Artificial Intelligence
Revolutionizing SAP® Processes with Automation and Artificial IntelligenceRevolutionizing SAP® Processes with Automation and Artificial Intelligence
Revolutionizing SAP® Processes with Automation and Artificial Intelligence
 
Navigating the Cloud: Best Practices for Successful Migration
Navigating the Cloud: Best Practices for Successful MigrationNavigating the Cloud: Best Practices for Successful Migration
Navigating the Cloud: Best Practices for Successful Migration
 
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
Unlocking the Power of Your IBM i and Z Security Data with Google ChronicleUnlocking the Power of Your IBM i and Z Security Data with Google Chronicle
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
 
How to Build Data Governance Programs That Last - A Business-First Approach.pdf
How to Build Data Governance Programs That Last - A Business-First Approach.pdfHow to Build Data Governance Programs That Last - A Business-First Approach.pdf
How to Build Data Governance Programs That Last - A Business-First Approach.pdf
 
Zukuntssichere SAP Prozesse dank automatisierter Massendaten
Zukuntssichere SAP Prozesse dank automatisierter MassendatenZukuntssichere SAP Prozesse dank automatisierter Massendaten
Zukuntssichere SAP Prozesse dank automatisierter Massendaten
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Crucial Considerations for AI-ready Data.pdf
Crucial Considerations for AI-ready Data.pdfCrucial Considerations for AI-ready Data.pdf
Crucial Considerations for AI-ready Data.pdf
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Justifying Capacity Managment Webinar 4/10
Justifying Capacity Managment Webinar 4/10Justifying Capacity Managment Webinar 4/10
Justifying Capacity Managment Webinar 4/10
 
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
 
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
 
Testjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3f
Testjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3fTestjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3f
Testjrjnejrvnorno4rno3nrfnfjnrfnournfou3nfou3f
 
Data Innovation Summit: Data Integrity Trends
Data Innovation Summit: Data Integrity TrendsData Innovation Summit: Data Integrity Trends
Data Innovation Summit: Data Integrity Trends
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Optimisez la fonction financière en automatisant vos processus SAP
Optimisez la fonction financière en automatisant vos processus SAPOptimisez la fonction financière en automatisant vos processus SAP
Optimisez la fonction financière en automatisant vos processus SAP
 
SAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen
SAPS/4HANA Migration - Transformation-Management + nachhaltige InvestitionenSAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen
SAPS/4HANA Migration - Transformation-Management + nachhaltige Investitionen
 

Recently uploaded

GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
Product School
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
Bhaskar Mitra
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
Fwdays
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 

Recently uploaded (20)

GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...How world-class product teams are winning in the AI era by CEO and Founder, P...
How world-class product teams are winning in the AI era by CEO and Founder, P...
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Search and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical FuturesSearch and Society: Reimagining Information Access for Radical Futures
Search and Society: Reimagining Information Access for Radical Futures
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi"Impact of front-end architecture on development cost", Viktor Turskyi
"Impact of front-end architecture on development cost", Viktor Turskyi
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 

Delivering Efficiency and Customer Satisfaction to Claims and Underwriting with Dynamic Weather

  • 1. Delivering Efficiency and Customer Satisfaction to Claims and Underwriting with Dynamic Weather
  • 2. Precisely has launched an amazing historical, real-time, and forecast weather solution for our Property and Casualty and Reinsurance clients. Precisely Dynamic Weather provides high-precision location and weather events leveraging industry-leading Baron Weather. These events are updated every 5 minutes!
  • 3. Focus: Delivering Efficiency and Policyholder Satisfaction – Impact of Weather on Lifecycle
  • 4. Dynamic Weather Examples • Binding Suspension: Identify what policies in force will/may be affected by a severe weather event and avoid untimely policy changes. • First Notice of Loss: Expedite the FNOL process; we “know” you were affected by the event; how can we help? • Claims Resource Positioning: Determine what policies will be impacted by a forecasted event and have adjusters available for those that will be affected the most. • Risk Forecasting: Reduce on-site field claims deployment – highly detailed post weather event data enables claims team to remotely settle more claims with increased accuracy. • Fraud Determination: Was the policy impacted by the event? Was the magnitude of the event great enough to cause damage? Did the damage occur before the policy was written? • Pricing/Underwriting: Review recent past weather data within various territories for pricing new states or properly pricing books in existing states relative to weather perils.
  • 5. Dynamic Weather Conditions • Local Storm Reports • Storm Tracks • ENTLN Lightning • Lightning Heatmap • Fire and Smoke • Storm Prediction Center Outlooks • High Wind Path • Critical Weather Indicators • Hail Path • 24 hr Rainfall Accum. • Current Threats • Current Weather • Future Scan • Convective Available Potential Energy • Storm Relative Helicity • Baron Button • North American Radar • High-Res Wind Speed • Temperature • Snow Accum. • Wind Speed • Precipitation Forecast • Precipitation Accum. • Max Reflectivity • Sleet Accum. • Freezing Rain Accum. • Hail Forecast • Lightning Forecast Tropical • Official Tropical Track Forecast • Hurricane Hunter • Tropical Track Model • Track History Weather • NWS Watches & Weather • Temperature • Wind Speed • 24 hr Temp Change • Current Wet Bulb Temp Winter Weather • Official Tropical Track Forecast • Hurricane Hunter • Tropical Track Model • Track History Observations • Earthquakes • Air Quality Index • Air Quality Ozone Index • Air Quality Particulate • Air Quality Visual Range Single Site Radar • Rainfall Accum. • Level ll Max Reflectively • Level ll – 24 hr Total Precipitation • Level lll – 24 hr Precipitation Accum. Composite • CONUS Hail Swath Mosaic • CONUS Shear Swath Mosaic • CONUS Mosaic Shear Rate • Surface Temperatures • Surface Wind Speeds • METARS • Storm Vectors • Shear Markers Current Weather Storm Reports • Fog (Visibility) • Surface Wind Chill • Surface Heat Index • 24 hr Surface Temperature Change • High – Res Max Reflectivity Composite • Road Condition • High – Res Current Wind Speeds • Nationwide Snow Accum.
  • 6. Best in Industry Weather Data, in Partnership with Baron • Dual – Polarization Radar: • Receives pulses in both a Horizontal and Vertical orientation to provide better estimates of size, shape, and severity of weather conditions. • Frequency of Data Collection: • Tracking/Collecting weather conditions in 5-minute intervals • Additional Differentiators:  High-resolution radar data  Proprietary products for wind, flooding, hail and tornadoes  Exclusive products tracking the path of hail and damaging winds  Pulse Doppler Radar national infrastructure  Meteorological expertise as a result of infrastructure build out and IP ownership in the weather space
  • 7. Why the Precisely approach matters… Real-time alerting of impending event Identifying when the event began and what locations are being impacted Archive weather conditions for impact analysis End to End Tracking of an Event Tracking Event Collecting Event Data Were these addresses impacted? or What addresses were impacted?
  • 8. Customizable Delivery via API…Forecast, Real – Time, and Historical • Events of interest • Weather thresholds • Geography • Time • Magnitude Define • Policies in force • Prospective policies • Claim locations • Rating territories Identify Deliver Interactive Weather Live Weather Alerting Forecasted Impacts
  • 9. Point of Quote / Underwriting Precisely strengths • Binding Suspension • Historical Risk • Wildfire burn parameters and smoke/wind parameter visualization and reporting – enable efficient CAT management decisions. • Underwriting Pricing exception review and visualization for Risk Concentration and Risk Proximity 9
  • 10. Insurance underwriting process The insurance underwriting process relies heavily on statistical analysis to determine risk. • Personal finances • Credit Score • Location • Driving history • Health • Home construction materials • Vehicle type • Crime data • Weather data
  • 11. California has 4MM acres fires burning (size of MA). In 2020, 9,200 structures burned. -CalFire
  • 12. Underwriting Binding Suspension • Fire alerts, which pertain to environmental influences conducive for fires to start • Identify when and where fire incidents are taking place • Perimeters, smoke, and fire, are accessible as well – perimeters are built out once an incident is being addressed by a fire agency, therefore you can have incidents without perimeters • Fire incident locations as well as current fire and smoke perimeters and metadata associated with the event that can be fetched and displayed in Spectrum Spatial Risk Analyzer
  • 14. Actuary – Pricing / Rating Precisely strengths • Hail & Wind – Geohash • Risk Forecasting • Data Science Enablement • Access to Historical Weather Archive 14
  • 15. The is a unique and persistent 12-digit identifier for all addressable locations throughout the US
  • 16. Streamlined Enrichment Address: 8810 Crestview Dr Frisco, TX 75033 Geocode PreciselyID: P0000M3HMX6H Building ID: B000CTQOW7U8 Parcel ID: 127500661 Flood Zone: Moderate Risk – 309 ft to High Risk 309 ft
  • 17. Operationalizing High-Resolution Real-Time Weather Data… ½ Mile Geohash Grids/Multi- Resolution Raster Client Defined Threshold, Ex - Wind Speed Grid (MPH) Weather Data Integration with PreciselyID Wind = 93 MPH PreciselyID Address City State ZIP Geohash5 Assessed Value Year Built Wind Speed P0000M3P4INB 217 Royal Palm Way Holy Ridge NC 28445 dq0uj 350,640 2006 73 mph P0000M3P4IOE 209 Royal Palm Way Holy Ridge NC 28445 dq0uj 215,370 2011 73 mph P0000M3POR9L 10 Calcos Ct Holy Ridge NC 28445 dq0uj 352,350 2006 85 mph
  • 18. We make Weather Data Actionable through the PreciselyID… Address: 8810 Crestview Dr Frisco, TX 75033 Geocode PreciselyID: P0000M3HMX6H Geohash ID: 9vghth Weather Condition: • 100% Probability of Hail Size greater than 3in 9vghsv 9vghsu 9vghsg 9vghtj 9vghtm 9vghth 9vghtk 9vght5 9vght7
  • 19. Hail event impacting Tilden, Texas… Tilden, TX
  • 20. But Tilden was not the only location impacted by the event…. Hail Size: • <1 in • 1 – 2 in • >2 in • Event Duration: 4+ hours • Hail size ranged from .5 in to >3 in in diameter • were impacted • properties
  • 21. Hail larger than 1” diameter can cause damage to a home…. Hail Size: • >1 in • 17 ZIP Codes were impacted • 79,886 total properties were impacted by Hail larger > = 1” • $8.6 billion in total Market Value was affected by the event (Avg. $107,686/home) Policy Holder Coverage A Premium PreciselyID Address Number City State ZIP Accuracy Latitude Longitude Property Type Hail Size John Martin $28,007 $1,124 P0000M3P4INB 403 Martin St Tilden TX 78072 P05 28.456571 -98.550166 R >= 3 in hail Carole Burnett $114,362 $1,853 P0000M3P4IOE 401 Congress St Tilden TX 78072 P02 28.460933 -98.546925 R >= 3 in hail Thomas Holden $2,192,799 $7,642 P0000M3POR9L 1600 S Highway 16 Tilden TX 78072 P05 28.452684 -98.552274 R >= 3 in hail Elizabeth Coady $60,232 $1,567 P0000M3WFSYU 123 Roark Rd Tilden TX 78072 P02 28.563862 -98.515815 B >= 3 in hail Jason Ford $124,805 $1,989 P0000M3P4INT 400 Lowe St Tilden TX 78072 P02 28.457731 -98.549443 R >= 3 in hail Real – Time Localized Impact Reports:
  • 23. Claims and CAT Risk Precisely strengths • Weather Event Notification • Fraud Determination • Real-Time Weather Forecast notifications • Integrate with leading imagery providers for blue sky and grey sky images of initial claims loss assessment • First Notice of Loss • Claims/CAT team Resource Positioning – CAT Management • Drive time/drive distance determination – Dispatch • Wildfire burn parameters and smoke/wind parameter visualization and reporting – enable efficient CAT management decisions. – CAT Management • Location Specific Weather Reports - hail, wind, lightning, and temperature – Field Adjuster • Executive Dashboard Visualization and reporting 23
  • 24. 2019 was the 5th consecutive year in which 10+ billion-dollar weather and climate disaster events affected the United States
  • 25. Claims Efficiency and Customer Satisfaction Pre/Post CAT Planning Claims Adjustor Dispatch SLT Field Claims Adjustor Claims Operations Management Policy Holder
  • 28. Understanding the dynamics of Weather Alerting… • For major weather events, alerts are sent out every hour to those regions that may be affected by the event • Alerts are generalized at the county level • Multiple alerts for the same event are sent out with new ID’s which can cause confusion around new events vs. continuing events Tropical Storms & Hurricanes in 2020: • 26 Tropical & Subtropical events • 25 Named Storms • 9 Hurricanes • 3 Major Hurricanes 168 Alert Minimum 4,468 Alerts Wildfires in 2020 as of 9/24/2020: • 1,283 Active Wildfire Perimeters • 4 million acres burned in CA 48 Alert Minimum 61,584 Alerts
  • 30.
  • 32. Dynamic Weather Planned Major Development Milestones for 2021 Address level event reports service. Hail, Wind, Lightning, temperature, Hurricane reports service in the initial rollout Dynamic Weather Reports Service (Q2) Start to end historic and current Hurricane impact data, alerts and forecast, Zip code level Hurricane reports, severe weather Meteorologist led webinar service Dynamic Weather Hurricane Service (Q2) Hail, Hurricane, Tornado, Damaging Wind, Rainfall, Lightning, Temperature Maps and daily data for analysis. Event impact boundaries (spatial and temporal) Dynamic Weather Daily Event Service (Q2/3) Wind, Smoke, fire, perimeter boundaries. Forecast impacted and actual impacted address data. Historic Wildfire data Dynamic Weather Wildfire Service (Q2/3) 32 This is intended for informational purposes only and may not be used to form the basis for any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The specific features, functionality and release timing of any new products or new versions of current products remain at the sole discretion of Precisely. This presentation contains Precisely confidential statements. Final implementation and delivery dates are subject to change without prior notice
  • 33. The Precisely Approach Real – time & Forecast alerting of impending event Identifying when the event will begin and what locations will be impacted Archive weather conditions for impact analysis End to End Tracking of an Event Tracking Event Collecting Live Event Data Were these addresses impacted? or What addresses were impacted?
  • 34. •Binding Suspension - UW •First Notice of Loss - Claims •Claims/CAT team Resource Positioning - Claims •Risk Forecasting - UW/Actuary •Fraud Determination - Claims •Real-Time Weather Forecast notifications - Claims •Integrate with leading imagery providers for blue sky and grey sky images of initial claims loss assessment. •Drive time/drive distance determination •Wildfire burn parameters and smoke/wind parameter visualization and reporting – enable efficient CAT management decisions. •Underwriting/Pricing exception review and visualization for Risk Concentration and Risk Proximity •Location Specific Weather Reports - hail, wind, lightning, and temperature •Executive Dashboard Visualization and reporting • Personas • Divisions – UW, Actuary, Claims • Forecast, Near Real – Time, Historical
  • 35. •Location Specific Weather Reports - hail, wind, lightning, and temperature •Executive Dashboard Visualization and reporting • Personas • Divisions – UW, Actuary, Claims • Forecast, Near Real – Time, Historical
  • 36. • Merger of Syncsort & Pitney Bowes Software and Data • 12,000+ Customers Globally • 25 of top 25 P&C Insurers • 90 top Fortune 100 Companies • 100 years of experience data integrity market
  • 37. Hyperlocal Weather for Yesterday, Today and Tomorrow 37 Historic Weather • How badly has a property been affected by weather events in the past? • Fraud detection – did the damage happen due to a past weather event? • Assess your entire portfolio & prospective new customers against historic weather events to better risk assess them • Create more accurate rating territories based on historic weather in zipcode or geohash areas Near-Live Weather • We know you’ve just been hit by a weather event, how can we help you? • Save costs, use the hyperlocal weather data to quickly validate claims remotely • Notify your organisation daily of any upcoming weather events • Attend meteorologist hosted extreme weather webinars to get the detail on a major event Forecast Weather • Put your car away in your garage, there’s a hail storm headed your way • Get your claims adjusters in the right place at the right time • Based on the forecast, how exposed is my book of business during the upcoming storm?
  • 38. Master Location Data with PreciselyID WHAT IS IT: Best-in-class Address Point geocoding dataset that is built, owned and maintained by Precisely WHY IS IT SO ACCURATE: HIGH MATCH RATE + BEST IN CLASS POSITIONAL ACCURACY Build Data Merge De-dup Standardize Assign PreciselyID Link to our data Build linkable data Pre-score the country Discover additional addresses Manage data synchronization Data Transfer 207m Addresses 50m Secondary Addresses 193m Addressable Locations (PreciselyID) Support for POI’s in Address Matching 55% Building Centroids (or better) 38% Parcel Centroids 3% Interpolated Locations 4% Backfill Centroids
  • 39. We make Weather Data Actionable through the PreciselyID… Address: 8810 Crestview Dr Frisco, TX 75033 Geocode pbKey: P0000M3HMX6H GeoHash ID: 9vghth Weather Condition: • 100% Probability of Hail Size >=3in 9vghth Precisely identified over 150 properties that were impacted by the event within the geohash.

Editor's Notes

  1. DM
  2. DM
  3. Traditionally, businesses have viewed accuracy and consistency as the foundation of data integrity. But there is still a lot of work remaining in these areas. For example, virtually every organization lives with a mix of modern and legacy data and increasing data volumes. One of your biggest challenges to achieving data integrity is integrating that siloed data. Manually creating data pipelines that enable data integrity is costly in terms of time and the expertise required to integrate complex data formats. To act effectively, you need a solution that understands a variety of data sources, even the most complex mainframe and IBM i data, out of the box, and can help you connect them to next-gen cloud data platforms. Whether you’re working with data from business applications or log data, the suite’s data integration capabilities enable you to create data pipelines that are flexible, highly performant, and repeatable. With your choice of integration methods, from batch to ETL to real-time change data capture, you can break down data silos and deliver fresh data to decision-making systems, IT operations and analytics platforms, and more.
  4. The insurance underwriting process relies heavily on statistical analysis to determine the risk of individuals who want to sign up for a policy with an insurance provider. Some of the main factors that underwriters use to determine risk in an insurance policy are: Not all of these factors play a role in every kind of insurance—and different insurance policies pay more attention to some factors than others. Let’s look at which factors matter the most in each kind of insurance. Determines acceptable risk in a policy
  5. Rob speaking notes: USE CASE: Binding suspension/binding moratorium. When a client gets notification of a fire, they need to see where the fire perimeter is in relation to their policyholders within 3 miles.   In order to manage the program, and create notifications for moratoriums due to active fires,  clients need to be able to see PIF beyond the 3-mile perimeter.   See all the ‘dots’ representing PIF in relation to the fire perimeter and download a spreadsheet of addresses.   The attached shows 2 current fires in CA.  the fire to the north is Wallbridge, near Healdsburg CA and the one to the south is Carmel, near Carmel Valley.   Use these perimeters to capture all our PIF around the perimeters  This is pretty basic capability – assuming you are already using Precisely for location determination. Dave is going to show you our ability to visualize: Fire perimeter Buffers of any size needed, like 1, 3, 5 miles – some clients go up to 10 miles PIF Weather – Baron – smoke layers, ash layers
  6. DM Binding Suspension Riverside Fire Perimeter Buffer around Perimeter Policies that fall within buffer Buffer intersections with ZIPS Layer in Historical Wildfire Expansion of Fire Perimeter toward more susceptible areas Impacts of Wind Direction
  7. RC
  8. RC
  9. RC
  10. DM
  11. RC
  12. DM
  13. DM
  14. DM
  15. DM Thematic Shading – Hail Event
  16. RC
  17. RC
  18. RC
  19. DM Cone of uncertainty – Projected vs. Actual – Pre – CAT & Post – CAT Over generalized – identified locations that were impacted by certain wind speeds Pre – CAT & Post – CAT Maintaining current unassigned and assigned Claims & Field adjuster territories - Claims – Management Layer in radar imagery – Delta - Pre – CAT & Post – CAT Zoom into Lake Charles – concentration of heavy impact in - Dispatch Aggregated impact by wind speed – add layer - Dispatch Adjuster positioning – home location vs. post – CAT location – facilitating claims inspection - Dispatch Drive – time isochrone - Dispatch Drive – time component - Dispatch Query based on location – Dynamic Weather component – Supervisor & Field Adjuster GIC Aerial Imagery – Pre – CAT & Post – CAT & SLT Generate report – Supervisor & Field Adjuster Generate pdf for dashboard look - SLT
  20. Alerting – Customer Sat Completes lifecycle
  21. Product: Master Location Data
  22. RC