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Preparing Analytics for IoT Revolution
1.
Preparing Your Analytics Divisions
for The IoT Revolution Presentation by Hartford Steam Boiler Inspection & Insurance CDAO Fall Insurance Focus Day November 18th, 2019 Image: Getty/Thinkstock© 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved.
2.
50 Explosive IoT Growth ©
2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. IOT BILLION Trillion will be spent on IoT solutions over the next five years $6 Connected devices by 2020 Source: “IDC’s Worldwide Internet of Things Taxonomy, 2015,” IDC, May 2015; “Worldwide Internet of Things Forecast, 2015 – 2020,” IDC, May 2015. Amount of Data Generated (in exabytes) Source: Cisco white paper, Business Insider report 11/22/19 2 Only 10% of analytics leaders in insurance believe they are ready for this seismic change - are you one of them?
3.
The Good, Bad,
and Ugly © 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. Growth and Profit § Business Insight § Operational Efficiencies Complex § Technology § Logistics and Scalability § Customer Experience § Onboarding Cost § Capital Investment § Resources (people, IT systems, etc.)
4.
4 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary The Journey Requirements to work with clients and maximize value
5.
Technology 11/22/19 5 HSB’s Meshify
IOT platform Our custom combination of hardware configuration kits, monitoring software, and algorithms, including Meshify, allows you to be at the forefront of IoT technology that works. Additional Points: Ø Data can also be obtained through API’s Ø 3rd party data © 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. What is needed to obtain data used for analytics?
6.
Logistics and Scalability 11/22/19
6 HSB engineers testing a connected water shutoff valve From use case and sensor placement to inventory and program management, think of us as a part of your IoT team with engineers, developers, marketers, and operations staff © 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. How does it all go together?
7.
Customer Experience Collateral Website Videos We’ve
accounted for the end-to-end customer journey from the moment of signup to install to alert notification, including a customized app and 24/7 support © 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. If we build it will they like it?
8.
Onboarding 11/22/19 8 HSB pilot
planning workshop Our IoT FastTrack onboarding model allows you to start small and lean, so you can grow your IoT program in a stepwise fashion. We want it to be easy and hassle free © 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. How do we start the process?
9.
9 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary The Rewards of the Journey Unprecedented level of insight
10.
Data & Analytics 11/22/19
10 Alert notification from HSB platform We provide your customer with the data-driven insights that allows them to better understand their business and insurance needs (and for you to have that conversation with them) In addition to reducing risk: Ø Insurer can gauge customer behavior Ø Insured can improve operational efficiency © 2017 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. What do my clients get out of it?
11.
Weather & Geospatial Continuous
Innovation IoT Analytics Use Cases 11 © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Risk Modeling Averting Losses Detecting Equipment Issues Energy Savings
12.
12 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Risk Modeling Setting the stage for IoT
13.
Water Damage Risk
Modeling 13 © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Frequency and severity combine to provide a total risk estimate at the building, location, and/or account level. Uses statistical modeling and machine learning techniques. Can include or exclude CAT events (client’s choice). All relevant variables are used in the models. Freeze risk model is the same as the no-freeze risk model, but includes a freeze stress index for each location, for each day under freezing conditions. Severity Component Magnitude of losses ($) § Prefer at least 3 years of client’s policy (exposure and building attributes) and claims data § Risk scores can be combined with HSB’s EB Location Risk Scores Water Damage (no freeze) Risk Model Loss count and exposure Water Damage w/t Freeze Risk Model Frequency Component
14.
Equipment Breakdown Location
Risk Score 14 © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Location Risk Score Model § Incorporates a unique combination of publicly available and proprietary data § Blends classic statistical models and various machine learning techniques. Credit Risk Data Census Data Engineering Data Geographic Data Location/ Claim Data Equipment Breakdown (EB) Risk Score has demonstrated a strong correlation with property/liability risk and so can be combined with the IoT risk models. With the successful roll-out of EB, Water Damage (no-freeze) and Freeze Loss risk scores, we are expanding to other property perils such as Building Fire Risk as part of our IoT sensor site selection process. Assess Location level risk (by type/peril) by using enriched (26 million) location records and combining advanced modeling techniques with deep engineering expertise. Predicts The likelihood that a location will have an equipment breakdown loss, which is strongly correlated to property/liability risk. Produces Location level risk scores for HSB and our client's UW, Loss Control and other Engineering Risk Management processes. Exhibits Great performance in prediction accuracy and segmentation power as demonstrated in both HSB and their client's UW & Engineering use cases.
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15 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Weather/Geospatial Augmenting sensor data with detailed weather and geospatial data
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December 2017 Severe
Cold Event Temperature and Alerts Note the high correlation between the alerts and daily average temperature. BELOW 32F (COLD) ABOVE 32F (WARM) © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary 16
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17 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Losses Averted Analysis Using data to identify actions taken to avoid loss
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Dissecting the Data 18 ©
2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary BestWorst Who is responding? Does the time of day, week or year impact response? Does geography make a difference?
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Probable Save Alert Indoor Temperature Outdoor
Temperature Temperature by Date/Time Losses Averted Analysis 19 © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Temperature Power 0 1 40 30 50 60 70
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20 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Detecting Equipment Issues Monitor trends to identify abnormal operation
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Identifying Abnormal Behavior 21 ©
2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Using data to “train” the model to identify a possible failure event Training period (blue) Operational monitoring (green)
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22 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Identifying Anomalies Detail view of possible failure event
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23 © 2018 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Energy Savings Using data to find opportunities to save
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Energy Savings Analysis §
By comparing temperatures (indoor vs. outdoor) at different time periods, we can identify potential opportunities for energy savings • Unnecessary heating/cooling? • Erratic heating/cooling? § We are piloting an “Energy Opportunities Report” for each insured location • We typically know very little about the location, so use Analytics to make inferences 24 © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary Distribution of Energy Flux Flux (Q, degF/hour)
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25 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary IoT Analytics Continuous Innovation
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The Munich Re
Data Lake Over 500 Terabytes and Growing Every Day 22 November 2019 § Munich RE has an entire team dedicated to finding new sources of data… § Datasets relevant to IoT • Sensor Readings and Metadata • Claims Data • Demographic Data • Building Attributes • NFIRS Fire Event Database • Weather Simulation and Observation Data • ... And much more! 26 © 2019 The Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary
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27 © 2019 The
Hartford Steam Boiler Inspection and Insurance Company. All rights reserved. HSB Confidential and Proprietary We continually innovate to improve our clients IoT experience Conduct controlled failure experiments to build out a library of equipment faults. Using real-time and forecast data to enhance our risk models. Building models to expand knowledge and insight and develop insurance based risk solutions Developing a comprehensive analytics and reporting platform to deliver additional benefits to our clients. Research and Development
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