BACKGROUND
The "smart meteorology" meteorological industry has long been a data-intensive industry. Since its origin, it has relied on advanced detection technology, sensor technology and storage technology. It has a wide-ranging air, sky, and station monitoring network. Huge amount of meteorological observation data. Weather services are provided in the form of public services. For a long time, the form of weather services has been limited to the narrow scope of providing weather forecasts to the public. Nowadays, with the popularization of big data and the Internet, in addition to serving the public, industries in special fields such as agriculture, fishery, and aviation, such as ordinary enterprises in the financial industry, hope to integrate meteorological data for analysis to gain opportunities .
PAIN POINTS OF THE SUPPLIER OF SMART METEOROLOGY
How to break the traditional forecasting model is a difficult problem. Weather service providers are very mature in weather forecast services and some refined weather services. Now they need to export weather services to maximize the value of weather data. However, the traditional forecasting model has no potential to be tapped. How to quickly encapsulate the meteorological data into pairs of effective services for various industries is a difficult problem.
SOLUTION ADVANTAGES
Core advantages description
SOLUTION INTRODUCTION
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Data Integration
Integrate various meteorological data recorded continuously for many years into the DataFocus system to form basic data. After standardizing these data, label them well to lay the foundation for subsequent data applications.
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Data Capacity Release
Meteorological data have well-structured features. In DataFocus, these weather elements are time-serialized and provided to end users. Users can associate and analyze data in specific fields with meteorological data, and can complete ad-hoc analysis on the platform in real time through a natural language-like search-and-answer method, generate various data analysis reports, and create real-time visual large-screen displays. Based on weather or disaster forecasts, it can be used as an auxiliary reference for decision-making such as investment.
FEATURES AND ADVANTAGES OF SOLUTION
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Independent, Flexible and Scalable
DataFocus is a complete data analytics product that covers data warehouse, lightweight ETL, search-based analytics services, and modules for data visualization, intelligent insights, and machine learning. Fully deployable as a standalone DaaS service.
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It Can Not Only Quickly Respond to Construction Results, Nut Also Integrate Applications
Data analysis and visualization are applications that can quickly display the results of meteorological big data. The BI Server module of DataFocus will allow users to easily use this function to create various data visualization results. Further, with the help of the algorithm automation module included with DataFocus, algorithm models can be quickly built and deployed for specific scenarios. From data visualization to building a digital brain, the whole process is seamless.
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Easy to Use with Low Cost
DataFocus' unique patented technology based on natural language parsing will make data acquisition extremely simple for users, and ordinary citizens can use it without any technical barriers (no need to write code), thus greatly reducing the cost of use and vigorously promoting public data service capabilities.
CLIENT CASE
The Meteorological Bureau of Z Province has been exploring the expansion of meteorological data services from public weather forecasting to industry and commerce.
In this way, the meteorological data assets can be better activated, and a new path for meteorological services can be explored. Draw on the weather service model of foreign AcuWeather company,
The Meteorological Bureau of Z Province and Company X have used DataFocus to jointly build a business service platform for meteorological data.
After integrating high-quality meteorological data, enterprise users only need to perform correlated data analysis between their own business data and meteorological data, so as to better predict the development of business. The DaaS service platform is trying to be applied in many industries such as transportation and logistics, finance and insurance, energy and power, construction production, tourism, and even home appliances and fast-moving consumer goods, and is empowering various industries.