Decision Support Systems work by integrating various types of data (historical, real-time, or hypothetical) and applying analytical models to generate actionable insights. The process typically involves:
Data Collection: Gathering data from internal and external sources. Data Processing: Cleaning and organizing the data for analysis. Model Application: Applying analytical models to interpret the data. Output Generation: Producing reports, visualizations, or recommendations.
The user interacts with the system through the UI to input queries and receive results, making the process intuitive and user-friendly.