Abstract: Visual analytics for multi-facet information has become a hot topic recently in research areas related to information visualization and human computer interaction.However,there are few interactive visualization platform and toolkit which can effectively support multi-facet analysis.To address this challenge,this paper presents DaisyVA,an intelligent interactive visualization platform.First,an interface model is established to describe interfaces for multi-facet analysis,which includes three sub-models:data model,visualization model,and control model.Second,the fundamental architecture and key techniques such as model-based prototype generation,runtime framework,and libraries are described.Finally,DaisyVA is applied to a visual analytics application of networked manufacturing enterprise.Experimental results show that DaisyVA is an effective platform to help end-users develop visual analytics applications for multi-facet information.