The data processing cycle typically involves the following steps:
Data Collection: Gathering raw data from various sources such as databases, surveys, and transaction records. Data Preparation: Cleaning and organizing the data to ensure accuracy and consistency. Data Input: Entering the prepared data into a system, often a database management system (DBMS). Data Processing: Using algorithms and software to transform the data into meaningful information. Data Storage: Storing the processed data in a secure and accessible manner. Data Output: Presenting the information in a usable format, such as reports, dashboards, or visualizations.