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Qlik > 实例探究 > Chinese Academy of Agricultural Sciences builds big data applications for smart agriculture with Qlik
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Chinese Academy of Agricultural Sciences builds big data applications for smart agriculture with Qlik

技术
  • 分析与建模 - 大数据分析
适用行业
  • 农业
适用功能
  • 产品研发
用例
  • 预测性维护
  • 农场监控与精准农业
服务
  • 数据科学服务
挑战
The Chinese Academy of Agricultural Sciences (CAAS) is a national innovation center for agricultural IT. It monitors agricultural information, risk analysis, food safety, and data acquisition. CAAS is in the process of refining big data for smart agriculture through its own application. The application handles heterogeneous data resources from a variety of data sources including local governments, commercial databases, and Internet of Things (IoT). However, the business intelligence (BI) products previously deployed by CAAS were seen as inadequate. They were generally limited to static data analysis and visualized representation, making it difficult to fulfill in-depth data interaction and analysis. CAAS wanted more specialized and powerful functionality. With such a huge volume of data, CAAS was concerned about performance load.
关于客户
The Chinese Academy of Agricultural Sciences (CAAS) is the largest employer of scientific talent in agricultural science and technology in China, with over 5,000 professional employees. The Agricultural Information Institute of CAAS is a national innovation center for agricultural IT. It monitors agricultural information, risk analysis, food safety, and data acquisition. The institute is dedicated to promoting the development of smart agriculture, which can cut costs and boost efficiency and quality in the development of agriculture and rural areas. CAAS is in the process of refining big data for smart agriculture through its own application.
解决方案
CAAS selected Qlik after an appraisal of BI options from multiple vendors. Qlik Sense, seen by CAAS as a benchmark for the new generation visual analysis platform, helps users make better decisions based on the solution’s unique association analysis engine, advanced AI and a scalable multi-cloud architecture. Qlik Sense supports in-memory computing, demonstrates outstanding performance and enables quick calculation and representation of mass data. It provides a strong data management function which supports administrative applications. The scalability of Qlik Sense enables users to perform any analysis via an open API development package and bring them into other applications through its embedded analysis support.
运营影响
  • Qlik has helped CAAS to deliver big data applications for smart agriculture, allowing it to fully-mine value from a wealth of data.
  • Qlik Sense is equipped with exploratory and interactive data analysis capabilities to enable users to easily merge and load data, create intelligent visualization files, and drag and drop them to build a variety of analytical applications.
  • Users can explore the connections between different data, draw conclusions quickly and obtain flexible and in-depth data insights.
数量效益
  • Time spent on data analysis has been shortened from a few months to less than a day.

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