Software industry has been transformed from delivering boxed products to releasing online services and Apps. Accordingly, the way services are built and released is different from traditional boxed products, which brings up the importance of Data-driven Service Intelligence. Data-driven service intelligence points to any data-driven techniques that help ensure high service quality, efficient and effective engineering and DevOps productivity, and high customer satisfaction. Service intelligence has strategic importance for successful online service business. With the proliferation of cloud computing, the scale and complexity of services have increased dramatically. The ever-increasing scale and complexity of services pose significant challenges to software and service engineers on efficiently and effectively building and operating online services. To address the challenges, there is a wide range of research and products to enable advanced analytics for intelligent online service, by leveraging technologies based on machine learning, data mining, information visualization, and large-scale data computing. In this talk, we will present below topics in the online service intelligence area: (1) talking about the motivation and emerging importance; (2) describing the real-world challenges based on our experience; (3) introducing a set of sample solutions that have successfully benefited Microsoft online service products; (4) and sharing some learnings from our practice.