Akademik Veri Yönetim Sistemi
Journal of Politics, Economy and Management, cilt.5, sa.1, ss.55-75, 2022 (Hakemli Dergi)
Churn prediction has become a key part of many modern businesses because of the
performance advantages it brings. Business intelligence (BI) is the process of transforming data into
actionable insights that help a company make better choices. This research includes a bibliometric
analysis of works on game analytics, particularly customer churn in gaming business. Our research is
mostly focused on identifying the content and goals of studies that have already been published. In game
analytics, classification, grouping, and statistical analysis approaches are utilized to acquire insight via
the study of studies. Keywords were analyzed in articles, papers, books, and research materials on
gaming analytics and customer churn analysis. These difficulties are examined in the assessment section,
where performance evaluation measures are more significant in this sector. For bibliometric analysis, the
keyword "game churn analysis" was used. Data from Google Scholar, as well as Publish or Perish and
Zotero. Year requirements for bibliometric analysis were set between 2008 and 2022. The study data
analysis tools include Excel 2019 and Vosviewer. Finally, we analyzed databases, widely used data sets,
game titles, metric kinds, indexing databases, countries where studies were published, categories of
scientific study, word and author bibliometric maps, and algorithms.