The stages of data processing form the backbone of efficient information management. This process involves six key steps — data collection, preparation, input, processing, output, and storage. Each stage plays a vital role in transforming raw data into valuable insights that support decision-making and business growth. From gathering accurate data sources to cleaning, analyzing, and storing results securely, understanding these stages helps organizations improve data accuracy, streamline workflows, and optimize outcomes. By mastering the stages of data processing, businesses can convert complex data into meaningful intelligence that drives strategy and innovation.
