System Analysis and Design Essay

13656 Words Oct 13th, 2012 55 Pages
Assignment: 1. Describe three traditional techniques for collecting information during analysis. When might one be better than another? 2. What are the general guidelines for collecting data through observing workers?

3. What is the degree of a relationship? Give an example of each of the relationship degrees illustrated in this chapter.

Please make sure the assignment follows APA FORMAT. Also the citation and the references are two important factors of getting good grade for the assignment.

Again the deadline for this assignment is by Thursday no later than 11:59 PM IST.

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Chapter Objectives
After studying this chapter, you should be able to:
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In this chapter, you learn why you need to come up with alternative design strategies and about guidelines for generating alternatives. You then learn the different issues that must be addressed for each alternative. Once you have generated your alternatives, you will have to choose the best design strategy to pursue. We include a discussion of one technique that analysts and users often use to help them agree on the best approach for the new information system.
Conceptual Data Modeling
A conceptual data model is a representation of organizational data. The purpose of a conceptual data model is to show as many rules about the meaning and interrelationships among data as possible.
Conceptual data model
A detailed model that shows the overall structure of organizational data while being independent of any database management system or other implementation considerations.
Entity-relationship (E-R) data models are commonly used diagrams that show how data are organized in an information system. The main goal of conceptual data modeling is to create accurate E-R diagrams. As a systems analyst, you typically do conceptual data modeling at the same time as other requirements analysis and structuring steps during systems analysis. You can use methods such as interviewing, questionnaires, and JAD sessions to collect information for conceptual data modeling. On larger systems development teams, a subset of the project team concentrates on data

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