Chinese Academy of Agricultural Sciences builds big data applications for smart agriculture with Qlik
Company Size
1,000+
Region
- Asia
Country
- China
Product
- Qlik Sense
Tech Stack
- Artificial Intelligence
- Big Data
- Business Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Agriculture
Applicable Functions
- Product Research & Development
Use Cases
- Farm Monitoring & Precision Farming
- Predictive Maintenance
Services
- Data Science Services
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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