Case Study: Predictive Analytics and Data Science Keep an Eye on the Weather - DATAVERSITY

Weather companies want to do their best so that consumers and businesses can have reliable forecasts – not just for the day but in advance of it. Accuracy matters to weather services such as the Weather Channel and AccuWeather and predictive analytics, along with Data Science, is allowing them to get more precise weather reports than ever before. We all like to discuss what is going on outside, and we want to know if enough snow is expected for good skiing on an upcoming vacation, whether it will be pouring on a special occasion, or if the expectation of heavy storms with high winds requires a business to activate disaster recovery plans. In fact, a multi-year study of forecast accuracy – Analysis of One- to Five-Day-Out Global Temperature, Probability of Precipitation and Wind Speed Forecasts – found that AccuWeather was the most accurate provider for wind and precipitation forecasts and was a co-leader in accuracy for temperature forecasts. For temperature forecasts, AccuWeather was the most accurate for high temperature forecasts, while The Weather Channel was the most accurate for low temperature forecasts.