Automated data processing involves using algorithms, scripts, and workflows to collect, clean, transform, and analyze data without human intervention. By automating these steps, organizations can handle large volumes of data more efficiently, reduce errors, and free up human resources for more complex tasks. Here’s a breakdown of the main stages