Case Study: Zion China achieves scalable intelligent diabetes management with Microsoft Azure IoT and analytics

A Microsoft Corporation Case Study

Preview of the Zion China Case Study

Zion China uses Azure IoT, Stream Analytics, and Machine Learning to evolve its Intelligent Diabetes Management solution

Zion China, a medium-sized provider of mobile healthcare services, faced significant challenges managing the scalability and real-time analysis of massive data volumes generated by its diabetes management solution. The company needed a smarter way to ingest data from patient devices and move from traditional analysis to proactive prediction. To address this, Microsoft partnered with them, offering its Azure cloud platform including IoT Hub and Machine Learning.

The Microsoft solution involved a re-architected system that used Azure IoT Hub for efficient data transmission, Stream Analytics for real-time processing, and Azure Machine Learning for generating predictive insights. This new architecture, which also secured data with SQL Database and visualized it with Power BI, made Zion China's operations more agile and cost-effective. The result allows the company to expand its business to top hospitals and healthcare organizations.


Open case study document...

Zion China

Vincent Yang

Chief Executive Officer


Microsoft Corporation

2455 Case Studies