Granularity refers to the level of detail or precision in a dataset or system. In data analysis, high granularity means that the data is broken down into smaller, more specific parts, allowing for detailed insights. For example, sales data can be granular if it is recorded by individual transactions rather than summarized by monthly totals. In computing, granularity can describe the size of tasks in parallel processing. Fine granularity means tasks are small and can be executed simultaneously, while coarse granularity involves larger tasks that may take longer to complete. Both concepts are important in fields like data science and computer science.