Webinars

Weathernomics: How to Forecast Revenue with Weather Data

Recorded October 28, 2020

Summary

Watch our 30-minute webinar to learn how businesses leverage AccuWeather’s unique weather data in innovative ways to forecast revenue streams and production activities.

Key Highlights

Evaluate weather’s positive and negative influence on consumer buying behavior, supply chain management and revenue

Case Study: by applying 70+ years of historical data, see how we assessed climate change to discover trends in temperatures, precipitation and snowfall, exposing revenue opportunities

Case Study: using regression analysis and principal metrics, see how we modeled 21-day forecasts against comparable sales by zip code

Key Highlights

Lessons learned from the 2019 hurricane season. Reducing the risk and liability before, during and after the storm

An in-depth look at the 2020 hurricane season forecast

Impacts of Hurricanes Barry and Dorian and Tropical Storm Imelda

Historical weather data allows you to identify major impacts weather has on your business. For example, sales revenue, guest count, consumer demand, inventory replenishment, marketing/promotions, product mix, and staffing can all be optimized with weather intelligence. AccuWeather Historical Weather Data contains hourly and daily weather values including over 300 variables like average temperature, wind speed and direction, max gust, average cloud cover, minutes of sunshine, and much more!

Gain a competitive advantage by forecasting product needs and anticipating revenue based on past, present, and future weather conditions.

Watch On-Demand

Hosted by

Steven Root

Senior Vice President, Strategic Initiatives

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Steven Root has pioneered unique meteorological applications serving consumers, businesses and governments for over 30 years. He co-invented over 40 patents and has supported the development of numerous renewable wind, geothermal and solar energy projects. President of the American Weather and Climate Industry Association, Steve has earned BS and MS degrees from the University of Utah, is a Certified Consulting Meteorologist, and Fellow of the American Meteorological Society.

Don Coash

AccuWeather For Business Expert, Senior Meteorologist

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Don Coash began his career with AccuWeather as a Storm Warning Meteorologist providing a diverse set of organizations with strategic consultation, optimizing weather insights to mitigate their weather-related risks. As an AccuWeather For Business expert, he specializes in developing tailored weather risk management solutions for business applications by utilizing the newest, most innovative tools in weather technology.

Understanding what lies ahead is the best way to begin planning for direct impacts and related business disruption. Our experts are ready to share! To help your business prepare for hurricane impacts, AccuWeather's expert meteorologists will host a webinar on Wednesday, May 6 at 2:00 p.m. EST.

Hosted by

Dan Kottlowski

Lead Hurricane Forecaster

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Dan Kottlowski has 43 years of experience as an operational weather forecaster. Dan leverages both his in-depth understanding of the weather and his top-flight communication skills throughout the year as an AccuWeather Senior Meteorologist. During the Atlantic hurricane season, Dan is the lead hurricane forecaster for AccuWeather and coordinates the AccuWeather hurricane team.

Becky DePodwin

Meteorologist, Product Training & Support Coordinator

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Becky DePodwin is a meteorologist and emergency preparedness specialist with over a decade of professional experience serving partners and clients, combining expertise in meteorology, emergency preparedness, and risk communication. Becky uses best practices in emergency management to review and evaluate emergency preparedness plans, provide recommendations and develop guidance to partners on the integration of severe weather and hurricane warnings to ensure effectiveness.

Watch the Recording

During this exclusive webinar you’ll learn about:

· Evaluate weather’s positive and negative influence on consumer buying behavior, supply chain management and revenue
· Case Study: by applying 70+ years of historical data, see how we assessed climate change to discover trends in temperatures, precipitation and snowfall, exposing revenue opportunities
· Case Study: using regression analysis and principal metrics, see how we modeled 21-day forecasts against comparable sales by zip code
· Learn how hundreds of weather and environmental metrics can help identify weather variance to resolve impact level in YOUR organization

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