Which term describes an atomic level of detail in data?

High granularity is the term that describes an atomic level of detail in data. When data is said to have high granularity, it indicates that the data is detailed and contains many unique entries or individual records. This means that each record provides very specific and fine-grained information, allowing for in-depth analysis and insight.

In the context of data warehousing and analytics, high granularity is essential for making precise decisions and gaining valuable insights because it encapsulates the most specific details available, which can significantly enhance the accuracy and depth of data analysis. Furthermore, high granularity supports detailed reports and enables users to drill down into the specifics of their data.

This contrasts with low granularity, which would indicate a more summarized or aggregated level of data where details may be lost. Summary granularity refers to the aggregation of data into a more generalized form, making it less suitable for fine-tuned analysis. Variable granularity implies flexibility in detail levels but does not specifically denote an atomic or detailed level like high granularity does.