Identify areas of your business most sensitive to weather
Weather Signals can be used to indicate which areas of your business are most impacted by weather. By correlating our historical weather data with your historical business results, Weather Signals can identify the business metrics that the weather influences the most and can quantify that impact. For example, if you are a retailer, Weather Signals can analyze and report on the positive or negative impact weather has had on product category sales and store foot traffic, by location and season.
Anticipate weather conditions impacting business performance
Weather Signals can be used to forecast the specific weather conditions or combination of weather conditions that have the most impact on your business. You can incorporate these insights into your operations. For example, if you manage an insurance claims processing center, knowing which weather conditions cause an increase in calls can help you optimize staffing schedules.
Improve forecast accuracy with short-term weather outlooks
Weather Signals takes the weather insights gained by analyzing historical weather and business data and applies them to the short-term weather forecast, predicting how the upcoming weather will influence business outcomes. For example, if you are a retailer and know that rain and high humidity drive significantly more sales of beer and wine, and the weather outlook predicts rain, you might want to stock up on these beverages.
Enhance demand planning accuracy with seasonal forecasts
Weather Signals helps you to improve your demand planning and reduce risk by delivering more-precise analysis and predictions for extended time frames through seasonal forecasting. Across industries, our long-range weather forecasts help you to better plan for market shifts due to weather that might affect profitability.