five

AccuWeather for Supply Chain & Manufacturing

收藏
Snowflake2022-08-12 更新2024-05-01 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZSTZ745B5M
下载链接
链接失效反馈
官方服务:
资源简介:
AccuWeather empowers manufacturers to make critical decisions that save lives, protect property, increase productivity, and lower costs. With daily and hourly forecasts and historical weather data, your teams can mitigate weather-related risks and proactively prepare for the impact of weather on business operations to execute efficiently. The weather has a direct impact on supply chains and leveraging the world’s most accurate data can help you get ahead in every area of manufacturing. Purchasing: Weather determines the quality and value of perishable goods, as well as various products that can be damaged by various weather conditions. Demand Planning: With the user of AccuWeather’s forecasts and historical data, teams can build analytical tools and advance their machine learning, enabling new ways to generate models to understand the correlation of weather at any given moment Warehouse: The business of operating a warehouse has become more complex, and the need to modernize is becoming more relevant. As businesses are digitizing their operations, weather is pivotal to improving performance and protecting property and people. Transportation of goods and packages: Whether your business relies on ship, rail, or road, companies must plan for, monitor, and adjust when a storm strikes. With AccuWeather’s data, you can determine how the weather may impact a route days ahead. Sample Tables - Daily Forecast Weather - Hourly Forecast Weather - Daily Historical Weather - Hourly Historical Weather Sample Fields: - Date - Latitude & Longitude Location - Daily Metrics (Temperature, RealFeel Temperature, Windspeed & Direction, Predominant Precipitation Type, Precipitation Liquid Water Equivalent Total, etc.) - Hourly Metrics (Temperature, RealFeel Temperature, Relative Humidity, Cloud Cover, Total Liquid, etc.)
提供机构:
AccuWeather® Data Suite
创建时间:
2022-08-01
搜集汇总
数据集介绍
main_image_url
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作