Data flow describes the movement of data between a source, process, data store, and destination.
It connects system functions, external actors, and neighboring systems. For example, a navigation system receives a GPS signal and produces a suggested route.
Teams often use diagrams to visualize this movement. Processes transform the information. Meanwhile, data stores hold information for later use. Arrows show the direction of each transfer.
The model should include all required inputs and outputs. Therefore, teams can identify missing information and unclear dependencies.
The Data Flow concept differs from control flow. It focuses on the movement and transformation of information. In contrast, control flow describes the order of activities and events.
Clear information movement supports interface analysis, system modeling, requirements validation, and complete information processing.
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