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When it comes to communicating with your customers after a damaging storm, being able to pinpoint where damage occurred can be next to impossible. Current weather data sources don’t have the accuracy you want and need, but there is a better way forward. With Understory Weather’s revolutionary sensor network, “ground-truth” data now exists and provides you with hyper-local storm data. With this data, you’ll be able to raise the bar for customer service by reaching out to your customers right after the event. You’ll also have confidence in identifying areas where no damage occurred, reducing fraud, and giving you more time to spend helping the areas where damage did occur.

In this webinar, you’ll see data from a storm that hit the Dallas, TX, area on March 23 and learn how having hyper-local weather data like this at your fingertips will improve your business.

Presenter
Dr. Nicole Homeier
VP Products, Understory Weather

Dr. Nicole Homeier is the VP of Product at Understory, a weather hardware and analytics company delivering roof-level property damage analytics. She has an extensive background in mathematical modeling, statistics, predictive analytics, machine-learning, and scientific programming. Prior to her role at Understory she directed analytical modeling innovation for products used by insurance, manufacturing, and retail at Verisk Climate and AER. One of her main areas of focus was creating tools to help insurers respond to hail, wind, and hurricane events. She’s also an expert on the space weather threat to the electric power grid and has led the development of tools focused on understanding this and other weather-related risks. Prior to those roles, Dr. Homeier was as a Senior Actuarial Analyst within Towers Watson’s P&C consulting group. She was a research scientist on the Advanced Camera for Surveys Science Team at the Johns Hopkins University prior to joining Towers Watson. Dr. Homeier received her Ph.D. in Astronomy from the University of Wisconsin-Madison and her B.S. in Astrophysics and Chemical Physics from Michigan State University.

Unique sensor networks delivering ground truth data and property-level damage analytics.

Our weather stations are the very heart of our solution. Each is like a dedicated scientist taking real-time measurements out in the field, including hail, wind, rain, temperature, barometric pressure, humidity, and derived measurements such as wind chill, heat index, dew point temperature, and wind gusts.

About Understory

Understory detects rain, hail, wind, and other weather events where the risk to life and property is the greatest—directly at the earth’s surface. Because of their ground truth detection method, Understory has set a new industry standard for weather data resolution and fidelity that far exceeds traditional weather centers, which collect data by analyzing conditions observed in the atmosphere. By providing real-time datasets and graphical views of the movement and intensity of weather events, they are able to provide more valuable insights and early risk-detection alerts.

The data applications for Understory's sensors are enormous, as $485 billion of the U.S. economy fluctuates with weather. This new, sensor-enabled big data will impact insurance, agriculture, broadcast, and many other industries.

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