Temporal granularity refers to the level of detail or precision in measuring time. It can range from very broad time frames, like years or decades, to very specific ones, such as seconds or milliseconds. The choice of granularity affects how data is analyzed and interpreted, influencing decisions in various fields like data analysis and project management. In practical terms, higher temporal granularity allows for more detailed insights, enabling better tracking of changes over time. For instance, in financial markets, minute-by-minute data can reveal trends that daily data might obscure. Conversely, broader granularity can simplify analysis but may overlook important fluctuations.