Automated data processing is the use of technology to collect, organize, analyze, and store data with minimal human intervention. It involves systems and software that automatically handle repetitive tasks like data entry, sorting, calculations, and reporting. The process typically begins with data input from various sources, which is then processed using algorithms or pre-set rules. The output is structured, error-reduced data ready for decision-making or further analysis. Automated data processing increases speed, accuracy, and efficiency, making it ideal for industries like finance, healthcare, eCommerce, and logistics. It enables organizations to handle large volumes of data quickly and cost-effectively.