Data and process modeling involves three main tools: data flow diagrams (DFD), a

Question

Data and process modeling involves three main tools: data flow diagrams (DFD), a data dictionary, and process descriptions. A DFD represents system requirements as processes, external entities, data flows, and data stores. A DFD shows what a system does, not how it does it. Because DFDs are graphical models that use a limited number of symbols, DFDs can be read and interpreted by information system workers, end users, and management, which makes them a valuable tool for communication. A process can be a procedure or an algorithm. Data flows represent data movement among processes, data stores, and external entities. Because data emerges without any apparent source, some analysts refer to a spontaneous generation process as a miracle. A data store represents a file or part of a database. An external entity (sometimes called external agent) is outside the system boundary but supplies input or accepts output.

What are three benefits of modeling and why are they important?

Explanation / Answer

Solution:

The benefits of data modeling are stated as follows:

Higher Quality:

Just like a blueprint is prepared for building a bridge or a skyscraper the data should also be considered like that before building an application. Most of the time the software development processes failed because of lack of data modeling. A data model helps us define the problem and to make a better structure while working on a software.

Reduced cost:

If you have a proper structure or blue print about how the software building process is going to be then you are most likely to save some bucks for yourself. This is possible only because of efficiency which is achieved by data modeling. Data modeling helps you to predict the coming challenges and errors which you may face in the future.

Fewer data errors:

Data errors are worse than application errors; if you have a data errors in a very large database then it is really hard to debug that issue.

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