Based on the categories established after the mapping and the review findings, we also discuss the limitations of game analytics and propose potential research points for future research.ĭavenport and Harris define BI as something that incorporates the collection, management, reporting of decision-oriented data as well as the analytical technologies and computing approaches that are performed on that data.
Finally, we summarize the research areas that have already been covered in literature but need further development. Fourth, we also list different algorithms that have been used in game analytics for prediction. Third, we present the problems or challenges in the game area, which can be addressed by using game analytics. Second, we find out the main purposes of using analytics in the game industry. First, we explore game analytics aspects in the available literature based on the traditional game value chain. This research mainly studies and discusses five aspects. This paper provides a comprehensive literature review of BI used in the game industry, focusing primarily on game analytics. However, related research lacks systematic examination and precise classification.
From a business perspective, development in the game industry has led to the application of Business Intelligence (BI) becoming more and more extensive. As a business model, the essence of games is to provide a service to satisfy the player experience.
0 kommentar(er)
