![]() These large amounts of data and analytics, both archived and real-time, are ideal for data scientists that are developing analytics or data mining. WDT ingests and creates over 1 TByte of data each day and has an archive of 100 TBytes of historic weather data, as far back as 100 years. Through the SkyWise APIs, developers can easily integrate WDT’s weather analytics into their mobile app, website, analytics solution, ESRI-based GIS application, or their own mapping solution. SkyWise-WDT has created a big data cloud solution that, in total, aggregates a large amount of global data and runs superior weather analytic engines on that data to provide very accurate weather analytics to their customers. Be it asset protection, positioning of goods and services ahead of weather or as response to weather, or simply warning the general public of impending adverse weather, WDT has a product to fit any need. They employ the world-renowned WeatherOps forecast team, staffed by experts who provide global asset protection and commodities trading decision support. The company utilizes big data solutions to develop and provide weather analytics such as hazardous weather detection and prediction, high resolution forecasts, decision analytics, content for mobile apps as well as interactive mapping. ![]() (WDT) provides organizations with weather analytics and decision support on a global scale. ![]() Headquartered in Norman, Oklahoma, U.S Weather Decision Technologies Inc. Improved weather analytics and weather risk communication provides individuals, businesses and communities the capability to prepare for dangerous storms, saving lives and minimizing damage to infrastructure.WDT’s analytics also help companies leverage weather to maximize profits, minimize operational risks, and improve their own analytics to understand their and/or their customer’s operations. “Founded in 2000, Weather Decision Technologies serves organizations with higher resolution and more accurate global weather analytics at a price point amenable by all.” ![]()
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