1. A method, comprising: accessing a raw data from a storage device; using a sample survey technique on the raw data to select a sample data; using a data science technique on the 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 the sample data and a second classification of a nearby sample data, wherein adjusting the sample survey technique includes increasing sample density of future sample surveys for a same LUN; and identifying a tier of storage for the raw data on the storage device based on the classification.