Data analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. When working with secondary data, the data has already been collected, so your focus shifts to interpreting and making sense of that pre-existing data set. The goal is to identify trends, patterns, and relationships that can answer your research questions.