Case Study: Chinese Academy of Agricultural Sciences accelerates smart‑agriculture big‑data insights from months to under a day with Qlik

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

The Agricultural Information Institute of the Chinese Academy of Agricultural Sciences (CAAS), a national center for agricultural IT with over 5,000 professionals, needed to build big-data applications for smart agriculture that could ingest heterogeneous sources (government, commercial, IoT) and support advanced mapping, cleansing and interactive analysis. Existing BI tools were limited to static visuals, struggled with mass data performance and scalability, and couldn’t deliver the in-depth, fast insights CAAS required.

CAAS selected Qlik Sense for its association engine, in-memory computing, AI capabilities and scalable architecture, enabling embedded analytics and open-API integration. The solution dramatically improved data management, geographic processing and usability, cut analysis time from months to less than a day, increased user adoption with low training overhead, and unlocked richer, faster insights across datasets.

Chinese Academy of Agricultural Sciences

Cui Yunpeng

Researcher, Agricultural Information Institute