In today’s competitive business environment, organizations rely heavily on data to understand customer behavior, evaluate business performance, and support strategic decision-making. Consequently, students and researchers must be equipped with the skills to transform business data into meaningful insights. *DIY Data Analysis in SPSS: A Beginner’s Step-by-Step Guide Using Sales Data* is designed to help readers explore and answer common business research questions using IBM SPSS Statistics. Through the analysis of the *customer_dbase.sav* dataset, readers investigate issues such as customer purchasing patterns, demographic influences on sales performance, relationships among business variables, and factors that contribute to customer value. A key strength of this book is its research-oriented and hands-on approach. Rather than merely demonstrating statistical procedures, each chapter guides readers through the process of formulating research questions, selecting appropriate analytical techniques, interpreting SPSS outputs, and drawing evidence-based conclusions. Using descriptive analysis, data visualization, group comparisons, correlation, regression, and dashboard development, readers gain practical experience in conducting business research and translating analytical findings into actionable business insights. This approach enables beginners to develop both technical competency and analytical thinking skills that are directly applicable to academic research and real-world business decision-making.