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Systematic Literature Review (SLR) is a structured way of conducting a review that can assist the researcher in analyzing the progress of a specific stream of research. Although there are a number of SLR guidelines proposed by existing researchers, there is still too little attention paid to the approach taken and the tools that could be applied throughout the SLR process. Therefore, this paper attempted to fill the gap by presenting the application of Data Analytics approach in the SLR with the utilization of data mining and text mining technique. It proposed a step-by-step procedure using data analytics approach, and recommended tools to be used in the SLR process. To demonstrate the applicability of the approach, the authors selected a Master Data Management research domain as a case study. Based on this particular application, it can be concluded that this approach is a replicable, effective and output-based approach in conducting an SLR. It is hoped that other researchers would be able to replicate this approach in doing SLR for other research domains such as software engineering and information technology fields of study.