Engineering Information And Data Modeling

Engineering information first focused on the structure of data stored on a system. So tell the us data centered. Data models in engineering is called an entity relationship information.

Engineering information is said to center on the data because of stress on learning and analysis of data requirements prior to the requirements process. It is based on the level of confidence that the data and knowledge is a resource company that should be planned and maintained. As a result, analysts describe the raw data into a model of entity relationships, and then create a data flow diagram that describes the processes that occur. Engineering information modeling is actually trying to synchronize data with the modeling process. The difference lies only in structured analysis modeling process is described first, and data modeling.

Analysis of Structured

First is one of the first formal approach to the analysis of information systems. This analysis focuses on data flow and business processes and software. This analysis is called procces oriented structured analysis simple in concept. Analysts describe the series of processes in the form of data flow diagrams (data flow diagram) that describes the processes that exist or are proposed together with the input, output and file them.

Model Driven Approach Analysis

Model Driven is an analysis that uses images to combine to the problems, requirements, and solutions business solutions. Examples of commonly used model is the flowchart and DFD. Examples and analysis with a model driven approach is:

1. Structured Analysis
2. Engineering Information
3. Object-oriented Analysis

Information System Analysis

This is the first phase in the development phase in the development of information systems that primarily focused on the problems and requirements of business, separate and any technology that can or will be used to implement a solution to the problem. The main objectives and analysis of information systems there are a few things, namely:

1. Determine the weaknesses and the business processes on an old system to be able to determine the need and the new system.
2. Determine the feasibility of the new system requirements review and in some aspects, including economic, technical, operational, and legal.