Findings generated from data mining sometimes are not interesting to the domain users. The problem is that data miners and the domain users do not speak the same language, so human subjectivity towards the domain users' own knowledge fields affects the understanding of knowledge generated from data mining. This paper proposes a communication model based on the reference services model in the field of library science in order to bridge the communications between data miners and domain users. The creation of a data liaison specialist role in the data mining team aims at understanding the subjectivity as well as the thinking process of both parties in order to translate knowledge between the two fields and deliver findings to domain users. Through five steps—data interview, pre-mid evaluation, post-mid evaluation, knowledge delivery, and follow up—the data liaison specialist can achieve effective knowledge synthesis and delivery to the domain users.