Abstract: ［Purpose/Significance］The application of data-driven thinking in think tanks could optimize its knowledge service process and improve work efficiency and service level.［Design/Methodology］Firstly, literature review and internet research were combined to analyze think tanks’ knowledge service process. Aiming at the existing problems, big data thinking and analysis technology were introduced. Meanwhile, benchmarking analysis was adopted to optimize the concrete procedures, and the data-driven process optimization framework was proposed for think tanks’ knowledge service. Additionally, best practice of the framework application was analyzed.［Findings/Conclusion］Think tanks with optimized service process can produce accurate knowledge service, active knowledge service and customer self-initiative knowledge service, which are all data-driven. These three types of knowledge services will not only improve think tanks’ work efficiency and service level, but also better meet customers’ diverse needs such as knowing hot social issues, making decisions in emergencies and innovating services.［Originality/Value］The process of think tanks’ knowledge service has been systematically optimized by adopting big data thinking and big data analyzing technology, which is based on data-driven thoughts and users’ needs. It could provide references for realizing digital transformation of think tanks’ knowledge services in the era of big data.

Keywords: Think tank, Knowledge service, Process optimization, Data-driven, Big data analysis