The book "Customer Payment Trend Analysis based on Clustering for Predicting the Financial Risk of Business" by Jeeva Jose offers a comprehensive analysis of customer payment habits, particularly in the context of multinational companies relocating their production facilities to India. Given the increasing volumes of data generated by businesses, the need for effective data analysis is becoming more apparent. The book highlights how valuable information can be extracted from large datasets through the application of clustering techniques and data mining. This information is crucial for predicting customer payment behavior and minimizing potential financial risks. The implementation of the clustering and prediction module in the WEKA software demonstrates how companies can optimize their payment terms to reduce the risk of defaults. This specialized book is aimed at professionals and students who wish to gain a deeper understanding of payment trend analysis and its impact on the financial stability of businesses.