A data classification framework (C) is the foundational step for privacy compliance because organizations must first understand what data they have, its sensitivity, and how it is regulated. Privacy obligations vary by data type (e.g., personal, sensitive, regulated), and classification enables appropriate handling, protection, retention, and access controls. Awareness training (A), SIEM (B), and DLP (D) are all valuable controls, but they are ineffective or misaligned without knowing which data requires protection and at what level. CISM governance guidance emphasizes that compliance and control selection must be risk- and data-driven, making classification an essential prerequisite for privacy programs.