Raw Data Processing is the initial stage of data handling in which unprocessed information is cleaned, transformed, and structured for analysis. It involves removing errors, normalizing formats, and converting data into usable representations. Effective processing ensures data quality and consistency across analytical systems. Techniques include parsing, filtering, and feature extraction. This step is foundational for all machine learning, scientific computing, and business intelligence applications.