In the era of digital economy, massive data not only becomes an important asset, but also brings many challenges to enterprises. Self-service analytics (SSA) was born to solve these problems, which refers to the centralized data control and data distribution by enterprises through IT, and the use of data by business personnel without barriers. SSA is considered as a type of business intelligence. How to release data value through self-service data analysis has become the key to enterprise digital transformation. As a result, comprehending SSA has become essential in the development of digital transformation. This research paper presents a comprehensive bibliometric analysis of the emerging field of Self-service Analytics (SSA). The authors examine 69 publications from the Scopus database over a 14-year period, revealing a growing interest in SSA with an annual growth rate of 8.82%. The majority of these publications are theoretical solution papers, indicating that SSA is still in its early stages of theory with limited practical implementation. Given the apparent constraint of obtaining data from a single database, this paper recommend that future studies should examine the research outputs of SSA using other databases such as Google Scholar, Scopus, and Web of Science.
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