Which of the following BEST supports the implementation of an effective data classification policy?

Monitoring with KPIs helps track adherence, but it doesn't *implement* the policy's effectiveness; it measures it after implementation.

DLP tools are technical controls that enforce classification, but they rely on the initial, correct classification by human users following established guidelines.

For a data classification policy to be effective, it is paramount that the entire business understands and adopts the clear guidelines for classifying data. Data classification is primarily a business decision made by data owners, and without their active participation, understanding, and consistent application of the guidelines, even approved policies or technical tools will not correctly classify data or achieve the desired security posture.

Board approval gives authority, but the actual *implementation* and effectiveness hinge on the policy being practically usable and consistently applied by the business.