1. A method, comprising: unilaterally accessing a raw data from a storage device; using a sample survey technique on the raw data to select a sample data; using the sample survey technique on an updated raw data to select an updated sample data; using a dynamic data science technique comprising a state change analysis on the sample data and the updated sample data to determine a sample data category; using a processor to classify the raw data at least in part by considering the sample data category; iterating to adjust the sample survey technique based at least in part on the classification of a nearby sample data, wherein adjusting the sample survey technique includes increasing confidence and decreasing sample density of future sample surveys for a same LUN; providing the classification to a tiering software associated with the storage device; and adjusting classification on future sample data categories for the same LUN.