Yonghong Tech (Yonghong Tech) is a Chinese self-service BI and big-data analytics platform with AI-assisted exploration and enterprise dashboards.
Yonghong Tech provides an analytics stack built for Chinese enterprise data environments. Its flagship BI product lets business users build interactive dashboards through drag-and-drop exploration over high-performance MPP storage, while AI features generate visualizations from natural-language questions, detect anomalies and summarize drivers behind metric changes. The platform handles large data volumes with in-memory acceleration, supports complex permission models and deploys either on-premise or in private clouds. Advanced analytics modules add data mining and predictive modeling for teams beyond basic reporting.
Yonghong Tech sells enterprise licensing based on user scale, modules and deployment, with pricing provided through consultation and proof-of-concept engagements.
It serves Chinese enterprises in finance, manufacturing and public sectors that need governed, high-performance analytics on domestic infrastructure.
Administrators connect data sources and configure the high-performance analysis engine, then business users build dashboards visually and explore with drag-and-drop filtering. AI features answer natural-language questions with generated charts and explain metric movements in text. Advanced users extend analysis with data-mining models, and deployments run on-premise or in private clouds under enterprise security policies.
Large Chinese enterprises pick it when data volume and deployment control decide the shortlist. Pilot with one department’s core reporting first, prove performance against real data sizes, then expand. Establish a shared metrics layer before scaling out dashboards — the tool is fast, but consistency of definitions remains an organizational task that technology only supports.
It is an enterprise product; trials and proof-of-concept deployments are arranged with the vendor rather than self-serve.
Yes, integration APIs support embedding analytics and exchanging data with business systems as part of enterprise deployments.
Its large-data performance and deployment flexibility suit Chinese enterprise constraints better than cloud-only global BI tools.
Yes, its MPP in-memory engine is designed for large-scale analysis typical of Chinese enterprise data environments. Deployments can scale compute independently as data grows, with performance validated during proof-of-concept engagements.
Yes, data-mining modules add predictive modeling beyond standard reporting, letting teams forecast and classify directly on the platform. Results appear in dashboards alongside descriptive metrics for a complete analytical view.