Name four attributes that you can use to define a data flow in the grocery inventory information system

What will be an ideal response?

Typical attributes used to define data flows are:
• Data flow name or label: The data flow name as it appears on the DFDs.
• Alternate name(s): Aliases for the DFD data flow name(s).
• Description: Describes the data flow and its purpose.
• Origin: The DFD beginning, or source, for the data flow; the origin can be a process, a data store, or an external entity.
• Destination: The DFD ending point(s) for the data flow; the destination can be a process, a data store, or an external entity.
• Record: Each data flow represents a group of related data elements called a record or data structure. In most data dictionaries, records are defined separately from the data flows and data stores. When records are defined, more than one data flow or data store can use the same record, if necessary.
• Volume and frequency: Describes the expected number of occurrences for the data flow per unit of time.