Which term describes the level of detail contained within information?

The concept of information granularity refers to the level of detail or the specificity of the information contained within a dataset. It indicates how finely the data is broken down or organized, which can affect how it is analyzed and understood. For instance, high granularity means the data is very detailed and specific, such as daily sales figures, while low granularity indicates more aggregated data, such as monthly sales totals.

In the context of information technology and management, understanding the granularity of your data is essential for effective decision-making and analysis. More granular data allows for deeper insights and more precise analytics, making it possible to identify trends and patterns that may not be visible in more summarized data.

The other options refer to different concepts within data management. A data model represents the structure of data types and relationships, a database is a system for storing data, and structured query language (SQL) is a programming language used for managing and querying databases. While these terms are important in the field of information technology, they do not specifically address the aspect of detail level that granularity captures.