Manual data classification can be a tedious, time-consuming, and costly process which is why more organizations are automating the process. Key steps in a modern data classification process include: Determining the categories and criteria Defining roles and responsibilities for implementing them Tagging existing documents and establishing a an automated process for new ones (using ML and NLP) Data classification maintenance