Data visualization has been widely utilized in various analytic scenarios in the ear of Big Data, especially helping novice readers make sense of a complex dataset with interactive functions. However, due to the insufficient theoretical support for an understanding of the process of developing interactive functions and visual presentations, interactive data visualization tools often offer an interactive playground where readers might be emerged by a huge amount of data, instead of generating the insight on readers' demand. Thus, this paper is intended to construct a process of developing interactive visualization with a specific focus on enabling the interoperation between design and interpretation. Stemmed from organizational semiotics, an abductive process will be portrayed in this paper to interpret the process of developing interactive data visualization. Especially the interactive functions will be employed in an iterative process, where producers can be aware of an answer to readers' information demands on semantic, pragmatic and social levels.