This study investigates the impact of structured training on the ability of non-technical business users to effectively utilize self-service data visualization (SSDV) capabilities within Oracle Analytics. A mixed-methods research design was employed involving ten participants from Sales, Human Resources, and Marketing departments. Participants completed a structured training intervention consisting of guided tutorials, video resources, and hands-on dashboard development activities using an HR analytics dataset. Quantitative findings revealed substantial improvements in participant confidence, with average self-reported competency scores increasing from 2.8 to 4.2 on a 5-point Likert scale. Dashboard evaluations produced an average score of 79.4 out of 100, with eight of ten participants achieving scores above 75, demonstrating successful application of core visualization and analytical principles. Qualitative findings indicated that while participants experienced increased confidence, independence, and data literacy, challenges remained in utilizing advanced analytical features such as calculated fields and multi-measure prompts. The findings suggest that structured training serves as a critical enabler of self-service analytics adoption by improving user competency, dashboard quality, and decision-making effectiveness. The study contributes empirical evidence supporting the role of training as a key mechanism for achieving successful data democratization and organizational agility in enterprise analytics environments.