Question

Which characteristic of data requires that the variables and data values be defined at the lowest (or as low as required) level of detail for the intended use of the data?

Answer 1

Data granularity

Explanation:

Granularity of data refers to the level of detail of your data within the data structure. The higher/ finer your granularity is, the more data you have to store (of course with more detail). To aggregate data you obviously need the same granularity. And granularity will determine what kind of information (reports, etc.) you can create/ get out of your database.

Answer 2

data granularity

Explanation:

Granular data is a type of data that are in pieces, they are data which exists at the lowest possible size so that it can be detailed and definite. Granular data can be joined with other external data source and is easily managed. It can be used for data analysis because it is definite and detailed.

Data granularity helps businesses in making decisions based on the analysis reported. It also helps businesses to check their performance and make adjustments that cam improve their sales and thus income.