Data analysis is an essential component of conference reporting. It can help you interpret and understand the data and information you gathered, such as through descriptive statistics to summarize the basic features of your data or inferential statistics to test and compare the differences, relationships, and effects of your data. Thematic analysis can be used to identify and explore patterns, themes, and categories of qualitative data, while narrative analysis can be used to construct and present stories, experiences, and perspectives of qualitative data. Visualizing your data with charts, graphs, tables, and maps; quantifying it with p-values, confidence intervals, and effect sizes; using coding, grouping, and labeling to organize it; and employing storytelling techniques such as plot, character, setting, and conflict to narrate it are all key aspects of data analysis for conference reporting.