Abstract:Academia Resource Planning project is an information system project to achieve resource planning of Chinese Academy of Sciences. ARP project serves two-level management organizations including CAS and its institutes, integrating and optimizing the business management flow of scientific research programs, human resources, comprehensive finance and scientific research conditions. This paper attempts to analyze large amounts of ARP data based on currently data mining techniques, obtaining valuable information and knowledge to provide information services and decision support to facilitate leaders, managers and researchers, maximizing the effectiveness of ARP system.