Big data on regional weather conditions continues to grow. This historical data offers a wealth of statistical data that can be added to predictive models to help predict the weather and improve business profits.
Companies such as Planalytics have integrated a wealth of historical weather data into automated predictive analytical packages to help companies plan for increased or reduced demand that results from weather conditions. With the company's predictive heat map snapshots, business can see estimates of regional-specific demand for heaters, air conditioners and other types of weather dependent products as the weather changes.
Weather influences many businesses in many different ways besides the sale of products. Bad weather can delay shipments, shut down factories and increase delivery costs. Planalytics addresses the weather issues for all types of industries. The company has weather predictive analytics solutions for retail, insurance and manufacturing companies (just to name a few).
Planaltyics client list tells the story of just how important weather driven business analytics is to companies these days. There client list includes well known companies from almost every industrial sector. Among the company's massive list of clients are Starbucks, Baskin Robins, Payless, Ace Hardware, Bloomberg and DuraFlame.
Planaltyics weather solutions help these companies not only predict demand based on the weather, but also more accurately forecast sales at all their regional operations throughout the world. This means these companies can adequately address inventory stocking needs as well as regional labor needs and specific regional problems so that the effects on profits are mitigated.
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