System analysis and design (SAD) is a methodical approach to developing information systems. It's a problem-solving technique that ensures that the new system meets the needs of the organization. Here's a breakdown of the process emphasizing problem-solving: 1. Problem Identification This is the initial phase where you recognize the issue or opportunity that the new system will address. Techniques like interviewing stakeholders, process mapping, and analyzing business documents can help identify problems. 2. Requirement Gathering Once you understand the problem, you need to determine the specific needs of the new system. This involves gathering requirements from stakeholders through interviews, surveys, workshops, and document analysis. 3. System Analysis This phase involves a deep dive into the existing system to understand its strengths, weaknesses, opportunities, and threats (SWOT analysis). You'll also define the scope of the new system and identify its functional and...
Data flow diagrams (DFDs) and data dictionaries are fundamental tools used in system analysis and design. They work together to visually represent the flow of data through a system and define the characteristics of that data. Data Flow Diagram (DFD) A DFD is a graphical representation of how data moves through a system. It shows the processes that transform data, the data stores that hold the data, the external entities that interact with the system, and the data flows that connect these elements. Here are the four main symbols used in a DFD: Process: A rounded rectangle represents a process that transforms data. Data Flow: An arrow represents the flow of data between processes, data stores, and external entities. Data Store: A rectangle with two parallel lines represents a data store that holds data. External Entity: A square represents an external entity that interacts with the system. Data Dictionary A data dictionary is a centralized repository that de...