A New Cloud Pos Data Quality Assessment Based on Spatial Weighting

Cloud POS data quality assessment is important for various analyses and management decisions in the tobacco retail industry. In practice, the current cloud POS data quality assessment is still relying on experience judgments while existing studies on data quality assessment lack research on cloud POS data and application in the tobacco industry. In this paper, we propose a framework for assessing the quality of cloud POS data based on spatial weighting. By leveraging third-party data with guaranteed quality, we assess the reliability of the cloud POS data to enhance data quality and improve decision-making processes for retailers. After empirical analysis, the effectiveness of the proposed method in this paper is justified. The research provides a new solution for cloud POS data quality assessment in the tobacco retail industry.