What is an example of data classification in L3W systems?

Data classification in L3W systems primarily aims to organize and manage data effectively according to its sensitivity and the implications of its handling. By categorizing data based on sensitivity, organizations can enforce appropriate security measures and compliance regulations to protect sensitive information from unauthorized access and breaches. This is crucial in sectors where data privacy is paramount, such as healthcare, finance, and personal data management, as it helps to identify which data requires more stringent controls and oversight.

In contrast, categorizing data based on size, format, or geographical location does not directly pertain to its sensitivity or the security protocols required for its management. While those factors might be useful for other data management tasks, such as storage optimization or compliance with local data laws, they do not serve the primary purpose of protecting sensitive information, which is central to effective data classification practices.