Qlik Case Studies 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 Qlik

Chinese Academy of Agricultural Sciences builds big data applications for smart agriculture with Qlik

Qlik

Technology Category	Analytics & Modeling - Big Data Analytics
Applicable Industries	Agriculture
Applicable Functions	Product Research & Development
Use Cases	Predictive Maintenance Farm Monitoring & Precision Farming
Services	Data Science Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Applicable Industries

Agriculture

Applicable Functions

Product Research & Development

Use Cases

Predictive Maintenance

Farm Monitoring & Precision Farming

Services

Data Science Services

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.

About 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.

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.

Impact #1	Qlik has helped CAAS to deliver big data applications for smart agriculture, allowing it to fully-mine value from a wealth of data.
Impact #2	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.
Impact #3	Users can explore the connections between different data, draw conclusions quickly and obtain flexible and in-depth data insights.

Impact #1

Qlik has helped CAAS to deliver big data applications for smart agriculture, allowing it to fully-mine value from a wealth of data.

Impact #2

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.

Impact #3

Users can explore the connections between different data, draw conclusions quickly and obtain flexible and in-depth data insights.

Benefit #1	Time spent on data analysis has been shortened from a few months to less than a day.

Benefit #1

Time spent on data analysis has been shortened from a few months to less than a day.

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Overview

Chinese Academy of Agricultural Sciences builds big data applications for smart agriculture with Qlik

Operational Impact

Quantitative Benefit