Descriptive analysis and text analysis in Systematic Literature Review: A review of Master Data Management

Abstract

Systematic Literature Review (SLR) is a structured way of conducting a review of existing research works produced by the earlier researchers. The application of right data analysis technique during the SLR evaluation stage would give an insight to the researcher in achieving the SLR objective. This paper presents how descriptive analysis and text analysis can be applied to achieve one of the common SLR objectives which is to study the progress of specific research domain. These techniques have been demonstrated to synthesis the progress of Master Data Management research domain. Using descriptive analysis technique, this study has identified a trend of related literary works distribution by years, sources, and publication types. Meanwhile, text analysis shows the common terms and interest topics in the Master Data Management research which are 1) master data, 2) data quality, 3) business intelligence, 4) business process, 5) data integration, 6) big data, 7) data governance, 8) information governance, 9) data management and 10) product data. It is hoped that other researchers would be able to replicate these analysis techniques in performing SLR for other research domains.