Data hierarchy

Data hierarchy refers to the systematic organization of data, often in hierarchical form. Data organization involves characters, fields, records, files and so on.[1][2] This concept is a starting point when trying to see what makes up data and whether data has a structure. For example, how does a person make sense of data such as 'employee', 'name', 'department', 'Marcy Smith', 'Sales Department' and so on, assuming that they are all related? One way to understand them is to see these terms as smaller or larger components in a hierarchy. One might say that Marcy Smith is one of the employees in the Sales Department, or an example of an employee in that Department. The data we want to capture about all our employees, and not just Marcy, is the name, ID number, address etc.

  1. ^ Cite error: The named reference Buchholz_1962 was invoked but never defined (see the help page).
  2. ^ Cite error: The named reference Laudon_2007 was invoked but never defined (see the help page).

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